The latest news and updates from companies in the WLTH portfolio.
In a few months, TIME will announce its annual Person of the Year. If prediction markets are to be believed, Donald Trump will be disappointed with the results. On both Kalshi and Polymarket, the Republican, who has won Person of the Year twice, ranks a distant third. Making matters worse, the top two picks on both sites -- New York City Mayor Zohran Mamdani and Pope Leo XIV -- have feuded with the president. The president has had an up-and-down relationship with Mamdani, the top pick on both sites. At various points, Trump has attacked his fellow New Yorker as a "communist," though a relatively friendly November meeting between the two sparked speculation they might forge an unlikely "bromance." "I think you're going to have, hopefully, a really great mayor -- the better he does, the happier I am," Trump said at the time. They met again in February, and Mamdani emphasized that he hoped he could work with Trump on issues such as housing, bringing a mock-up newspaper front page touting the fruits of their potential collaboration and Trump's starring role. Hopes for a true alliance between the two were quickly dashed, however. By April, Trump accused Mamdani, who has pushed for a tax on luxury second-homes, of "destroying" New York with his tax policies. In June, the Trump administration's border czar threatened to flood New York with ICE agents in response to the state passing a new package of sanctuary provisions. Mamdani, meanwhile, has repeatedly criticized the Trump administration's immigration policies. The president's relationship with Pope Leo has been ever more fraught. Leo, the first American pope, infuriated the White House on multiple occasions, including for criticizing what he said were the administration's "inhumane" immigration policies and for speaking out about Trump's threats to wipe out the Iranian civilization. The pope also took issue with administration claims that the Iran conflict was a righteous holy war. "Anyone who is a disciple of Christ, the Prince of Peace, is never on the side of those who once wielded the sword and today drop bombs," Leo wrote on social media in April. These comments further angered the administration, with Vice President JD Vance, himself a high-profile Catholic convert, warning the pope to "be careful" when opining on matters of theology. President Trump, meanwhile, has accused the Pope of being "weak" on crime and "terrible" on foreign policy. Despite the Trump administration's strong support from Christians in the U.S., its immigration policies have driven a wedge between it and the Catholic Church, which is heavily involved in refugee resettlement work and has numerous members in the U.S. with immigrant backgrounds. In April, for instance, the Trump administration ended an $11 million federal contract with Catholic Charities of the Archdiocese of Miami, a charity that has provided housing and assistance to migrant children for 60 years.

In a few months, TIME will announce its annual Person of the Year. If prediction markets are to be believed, Donald Trump will be disappointed with the results. On both Kalshi and Polymarket, the Republican, who has won Person of the Year twice, ranks a distant third. Making matters worse, the top two picks on both sites -- New York City Mayor Zohran Mamdani and Pope Leo XIV -- have feuded with the president. The president has had an up-and-down relationship with Mamdani, the top pick on both sites. At various points, Trump has attacked his fellow New Yorker as a "communist," though a relatively friendly November meeting between the two sparked speculation they might forge an unlikely "bromance." "I think you're going to have, hopefully, a really great mayor -- the better he does, the happier I am," Trump said at the time. They met again in February, and Mamdani emphasized that he hoped he could work with Trump on issues such as housing, bringing a mock-up newspaper front page touting the fruits of their potential collaboration and Trump's starring role. Hopes for a true alliance between the two were quickly dashed, however. By April, Trump accused Mamdani, who has pushed for a tax on luxury second-homes, of "destroying" New York with his tax policies. In June, the Trump administration's border czar threatened to flood New York with ICE agents in response to the state passing a new package of sanctuary provisions. Mamdani, meanwhile, has repeatedly criticized the Trump administration's immigration policies. The president's relationship with Pope Leo has been ever more fraught. Leo, the first American pope, infuriated the White House on multiple occasions, including for criticizing what he said were the administration's "inhumane" immigration policies and for speaking out about Trump's threats to wipe out the Iranian civilization. The pope also took issue with administration claims that the Iran conflict was a righteous holy war. "Anyone who is a disciple of Christ, the Prince of Peace, is never on the side of those who once wielded the sword and today drop bombs," Leo wrote on social media in April. These comments further angered the administration, with Vice President JD Vance, himself a high-profile Catholic convert, warning the pope to "be careful" when opining on matters of theology. President Trump, meanwhile, has accused the Pope of being "weak" on crime and "terrible" on foreign policy. Despite the Trump administration's strong support from Christians in the U.S., its immigration policies have driven a wedge between it and the Catholic Church, which is heavily involved in refugee resettlement work and has numerous members in the U.S. with immigrant backgrounds. In April, for instance, the Trump administration ended an $11 million federal contract with Catholic Charities of the Archdiocese of Miami, a charity that has provided housing and assistance to migrant children for 60 years.

Add Yahoo as a preferred source to see more of our stories on Google. In a few months, TIME will announce its annual Person of the Year. If prediction markets are to be believed, Donald Trump will be disappointed with the results. On both Kalshi and Polymarket, the Republican, who has won Person of the Year twice, ranks a distant third. Making matters worse, the top two picks on both sites -- New York City Mayor Zohran Mamdani and Pope Leo XIV -- have feuded with the president. The president has had an up-and-down relationship with Mamdani, the top pick on both sites. At various points, Trump has attacked his fellow New Yorker as a "communist," though a relatively friendly November meeting between the two sparked speculation they might forge an unlikely "bromance." "I think you're going to have, hopefully, a really great mayor -- the better he does, the happier I am," Trump said at the time. They met again in February, and Mamdani emphasized that he hoped he could work with Trump on issues such as housing, bringing a mock-up newspaper front page touting the fruits of their potential collaboration and Trump's starring role. Hopes for a true alliance between the two were quickly dashed, however. By April, Trump accused Mamdani, who has pushed for a tax on luxury second-homes, of "destroying" New York with his tax policies. In June, the Trump administration's border czar threatened to flood New York with ICE agents in response to the state passing a new package of sanctuary provisions. Mamdani, meanwhile, has repeatedly criticized the Trump administration's immigration policies. The president's relationship with Pope Leo has been ever more fraught. Leo, the first American pope, infuriated the White House on multiple occasions, including for criticizing what he said were the administration's "inhumane" immigration policies and for speaking out about Trump's threats to wipe out the Iranian civilization. The pope also took issue with administration claims that the Iran conflict was a righteous holy war. "Anyone who is a disciple of Christ, the Prince of Peace, is never on the side of those who once wielded the sword and today drop bombs," Leo wrote on social media in April. These comments further angered the administration, with Vice President JD Vance, himself a high-profile Catholic convert, warning the pope to "be careful" when opining on matters of theology. President Trump, meanwhile, has accused the Pope of being "weak" on crime and "terrible" on foreign policy. Despite the Trump administration's strong support from Christians in the U.S., its immigration policies have driven a wedge between it and the Catholic Church, which is heavily involved in refugee resettlement work and has numerous members in the U.S. with immigrant backgrounds. In April, for instance, the Trump administration ended an $11 million federal contract with Catholic Charities of the Archdiocese of Miami, a charity that has provided housing and assistance to migrant children for 60 years.

In a few months, TIME will announce its annual Person of the Year. If prediction markets are to be believed, Donald Trump will be disappointed with the results. On both Kalshi and Polymarket, the Republican, who has won Person of the Year twice, ranks a distant third. Making matters worse, the top two picks on both sites -- New York City Mayor Zohran Mamdani and Pope Leo XIV -- have feuded with the president. The president has had an up-and-down relationship with Mamdani, the top pick on both sites. At various points, Trump has attacked his fellow New Yorker as a "communist," though a relatively friendly November meeting between the two sparked speculation they might forge an unlikely "bromance." "I think you're going to have, hopefully, a really great mayor -- the better he does, the happier I am," Trump said at the time. They met again in February, and Mamdani emphasized that he hoped he could work with Trump on issues such as housing, bringing a mock-up newspaper front page touting the fruits of their potential collaboration and Trump's starring role. Hopes for a true alliance between the two were quickly dashed, however. By April, Trump accused Mamdani, who has pushed for a tax on luxury second-homes, of "destroying" New York with his tax policies. In June, the Trump administration's border czar threatened to flood New York with ICE agents in response to the state passing a new package of sanctuary provisions. Mamdani, meanwhile, has repeatedly criticized the Trump administration's immigration policies. The president's relationship with Pope Leo has been ever more fraught. Leo, the first American pope, infuriated the White House on multiple occasions, including for criticizing what he said were the administration's "inhumane" immigration policies and for speaking out about Trump's threats to wipe out the Iranian civilization. The pope also took issue with administration claims that the Iran conflict was a righteous holy war. "Anyone who is a disciple of Christ, the Prince of Peace, is never on the side of those who once wielded the sword and today drop bombs," Leo wrote on social media in April. These comments further angered the administration, with Vice President JD Vance, himself a high-profile Catholic convert, warning the pope to "be careful" when opining on matters of theology. President Trump, meanwhile, has accused the Pope of being "weak" on crime and "terrible" on foreign policy. Despite the Trump administration's strong support from Christians in the U.S., its immigration policies have driven a wedge between it and the Catholic Church, which is heavily involved in refugee resettlement work and has numerous members in the U.S. with immigrant backgrounds. In April, for instance, the Trump administration ended an $11 million federal contract with Catholic Charities of the Archdiocese of Miami, a charity that has provided housing and assistance to migrant children for 60 years.

AI company Perplexity has already tried its hand at search services, advertising, personal assistants, browsers, and a hosted agent platform - and now it's getting into local AI services. The biz, having already built a hybrid agent inference orchestrator that connects cloud and local inference, has crossed that bridge to build a local agent called Portable Computer. That's in contrast to its cloud-based agent platform, Computer. Portable Computer consists of an agent harness, an orchestrator, and local AI models running on an Nvidia DGX Spark workstation, with the ability to tap into cloud inference if the situation demands. What's Nvidia DGX Spark doing there? Well, apart from the fact that DGX Spark is a capable bit of AI kit, Nvidia is said to be contemplating a $30 billion investment in Perplexity. Maybe, just maybe, that has something to do with six brand name mentions in one announcement. Perplexity casts its Portable Computer as a way to control AI costs, an issue of interest over the last few months as users find locally run open weight models may offer relief from bulging cloud bills. "Progress is most visible in very small and efficient models such as Nvidia Nemotron 3.5 Lightning (30B total parameters), Qwen 3.6 (35B), and Qwen 3.8 (27B)," the biz said in its post, paying somewhat more attention to Nvidia's model than other local AI enthusiasts. "These small models punch above their weight and are now capable of complex agentic workflows." What hardware might one run such models on? It may just be coincidence but Perplexity suggests Nvidia DGX Spark. "This local-first approach enables significant cost savings, since local inference avoids per-token API fees," Perplexity said. "It also naturally resolves the privacy and intellectual-property concerns: private tokens never need to be transmitted to remote clusters and remain safely within the boundary of the local device." Perplexity's current privacy policy doesn't specifically mention Portable Computer, but does reveal that Perplexity collects quite a bit of data through its other services. Most of Perplexity's pitch to potential customers involves sharing benchmark results that compare Portable Computer to two other agent harnesses, Pi and Hermes. The AI biz reports, "Across the various benchmarks, Computer matched or exceeded Hermes and Pi in accuracy while running Qwen 3.8 27B on an NVIDIA DGX Spark." And Portable Computer, Perplexity claims, proved fastest on BrowseComp and ParseBench-100 and used the fewest tokens on all three. The AI biz concludes that a decent open-weight model and capable local hardware, together with a suitable harness, "can handle real knowledge work at near-zero inference cost without requiring sensitive data to leave the device." And in the event Nvidia does invest $30 billion, Perplexity will have plenty of time to explore how much it can charge in a market where harnesses like Pi and Hermes are free. ®

OpenAI's Head of Data Centers Has Left the Company Chris Malone joins a string of recent high-level executive departures as the AI giant heads toward an IPO and ramps up its spending on computing power. ---- Anthropic Expected to Tell Investors It Sees Over $30 Trillion in Potential Revenue The AI startup is likely to top SpaceX's eye-popping potential revenue estimate. ---- California Attorney General Ramps Up Criticism of Paramount Rob Bonta said Paramount is more focused on the "court of public opinion" than the court of law in the Warner merger fight. ---- Intuit Forecasts Slower Growth, Takes Steps to Win More TurboTax Users The company said it expects revenue to increase 9% to 10% for fiscal 2027, slowing from 14% this year, as it recorded a lower profit in its latest quarter. ---- Zoom Reports Solid Earnings. The Stock Drops Anyway. Zoom reported adjusted earnings of $1.55 a share for the quarter, up from $1.53 a year ago and above analysts' expectations for $1.48, per FactSet. ---- Starbucks Union Calls for Boycott in Latest Test of Company Turnaround Starbucks Workers United is seeking a contract agreement. For investors, the key question is whether the boycott move will affect customer behavior at a meaningful scale. ---- Dick's Sporting Goods Bet Big on Sneakers With Foot Locker. It Backfired. Shares tumbled after the retailer revealed footwear discounts are sapping profits. The chairman defended a $2.4 billion deal for the sneaker chain. ---- United Airlines Ups Its Bet on Instagrammable International Destinations Robust travel demand from Americans is helping fuel new routes like Marseille and Ibiza. ---- Bank of Montreal Plans to Buy Back Shares After Strong Quarter The big Canadian lender benefited from double-digit revenue growth and an improved credit performance in its fiscal third quarter, with the lowest provision on impaired loans in the last 10 quarters, though its bottom line was squeezed by one-time charges for its exit from certain businesses. ---- Scotiabank Earnings Lifted by Record Result in Wealth Management Bank of Nova Scotia notched a rise in third-quarter earnings, driven by strong results across its business lines that included a record result from its global wealth management and global banking and markets operations. ---- OnlyFans Paid $700 Million Dividend to Founder Year Before He Died The online platform, widely known for its explicit content, was a reliable cash machine despite employing fewer than 50 people. ---- Oura and Dunkin' Get Ready to Join IPO Bonanza Investors are sizing up the parade of new offerings expected in coming months. ---- Hyundai Motor, Union Reach Wage Deal to End Walkouts The tentative wage agreement ends months of on-and-off walkouts that have disrupted production at the Korean automaker. ---- Woodside Puts 'Everything on the Table' in Review of Beaumont Facility Chief Executive Liz Westcott said the review reflected a shift in international policy positions and slack demand for lower carbon ammonia. ---- Lego Sales Growth Outpaces Global Toy Market to Hit New Record Lego reported record sales for the first half of the year as it launched hundreds of new products. (END) Dow Jones Newswires August 25, 2026 19:15 ET (23:15 GMT) Copyright (c) 2026 Dow Jones & Company, Inc.

Mōrena and welcome to today's wrap of the business and political headlines you need to know this morning. Tech stocks were back in favour on Wall Street, with chipmaker Nvidia set to snap its losing streak ahead of its latest quarterly update, while Anthropic's estimates of the artificial intelligence market are even loftier than SpaceX's view. Brent crude oil prices dipped below US$90 a barrel as US Treasury secretary Scott Bessent's plans to further isolate Iran were seen as not antagonising China unnecessarily, although his plans to rein in the bond market copped criticism from his longtime mentor, hedge fund veteran Stanley Druckenmiller. Meanwhile, International Monetary Fund managing director Kristalina Georgieva urged governments to get their books in order, ahead of Federal Reserve chair Kevin Warsh's keynote speech at the annual central bankers' symposium in Wyoming later this week. The generally upbeat sentiment is set to flow through to the antipodes, with the kiwi dollar stronger and ASX futures pointing to a positive start to the day across the Tasman as earnings season continues, with Woolworths, WiseTech Global and Meridian Energy among companies reporting today. Nvidia was on track to snap a seven-day losing streak, with the Nasdaq Composite up 0.6% in late trading as investors regained their appetite for tech companies. The chipmaker is due to report its quarterly earnings on Wednesday in the US. "The earnings are arguably the most important corporate event of the week," Greg Boland, market strategy consultant at Moomoo, said in a note. "Investors will be looking closely at Blackwell shipments, data-centre revenue, hyperscaler capital expenditure and Nvidia's guidance for the coming quarter." The Wall Street Journal reported Anthropic would likely tell investors its total addressable market was US$30 trillion, topping the US$29.5tr figure put forward in SpaceX's blockbuster initial public offering documents. Meanwhile, OpenAI said its new Jalapeno chips outperformed Nvidia's current crop of AI processors, although the WSJ separately reported the ChatGPT maker lost another key executive, with the departure of Chris Malone who oversaw its data centre buildout. And Nvidia-backed AI cloud-computing provider Lambda was reportedly in talks to raise as much as US$3 billion ahead of a potential listing next year. Gains on Wall Street were widespread, with the S&P 500 and Dow Jones Industrial Average both up 0.3%, while across the Atlantic, the UK's FTSE 100 rose 0.3% and Germany's DAX gained 0.6%. France's CAC 40 dipped 0.2%. Brent crude oil futures fell 3.9% to US$88.60 a barrel as investors took heart from the fact that the latest round of US sanctions on Iran stopped short of directly penalising China, which said it would take all necessary measures to protect its interests. Separately, Iran and Oman said they'd discussed a proposed framework to set up a temporary corridor for ships to go through the Strait of Hormuz. The softer oil prices helped support bonds, with the yield on 10-year US treasuries falling 8 basis points to 4.64%. Veteran hedge fund manager Stanley Druckenmiller penned an op-ed in the WSJ criticising Bessent's bond-buying programme, saying governments defending prices against fundamentals always lose. Meanwhile, IMF head Georgieva said the global economy had been resilient in the face of stubborn inflation, while urging governments to keep their debt levels and deficits at sustainable levels. Canada matched the new tariffs imposed by US President Donald Trump, doubling its levies on a range of products to 50%, although Canadian lenders Bank of Nova Scotia and Bank of Montreal played down trade concerns as their respective quarterly earnings beat analysts' expectations. SpaceX was up 2.3% in late trading after the space conglomerate said it planned to build a US$100b rocket launch complex in Louisiana, while rocket parts maker Ursa Major Technologies planned to go public through a special purpose acquisition company at a US$2.3b valuation. Nasdaq-listed local favourite Rocket Lab was down 2.2% at US$66.73 in late trading. Australian futures are pointing to a 0.3% gain for the S&P/ASX 200 index when trading opens across the Tasman as earnings season continues, while Australian inflation figures are also in focus. The kiwi dollar traded at 83.43 Australian cents at 7am in Auckland from 83.32 cents yesterday, and rose to 59.73 US cents from 59.56 cents.

Perplexity AI launches Portable Computer on-device AI agent Perplexity AI Inc. today introduced Portable Computer, an artificial intelligence agent designed to run on desktops equipped with Nvidia Corp. silicon. The launch follows a report that Nvidia is weighing an investment in the startup that could value it at over $30 billion. Furthermore, Nvidia has reportedly floated the idea of licensing Perplexity's technology and hiring key employees. Portable Computer is an on-device version of a cloud-based AI agent called Perplexity Computer that debuted in February. Both tools are designed to perform multi-step tasks such as developing web applications. When Perplexity Computer encounters a particularly time-consuming task, it split the work into smaller chunks and assigns each one to a different subagent. Portable Computer brings similar capabilities to Nvidia's DGX Spark device (pictured.) It's a desktop computer that features a graphics card based on the company's Blackwell architecture. Additionally, the system ships with a 20-core central processing unit and 128 gigabytes of memory. On launch, Portable Memory uses the open-source Qwen 3.8 27B language model to automate tasks. It also supports a version of the algorithm called PPLX 27B that Perplexity optimized for the DGX Spark. The company added in a so-called multi-token prediction mechanism designed to speed up prompt processing. Qwen 3.8 27B has a context window of 256,000 tokens. In practice, however, Perplexity determined that the model struggles to process prompts with more than 100,000 tokens. The company addressed that limitation by equipping Portable Computer with a so-called context compaction feature. It summarizes lengthy prompts to bring them below the 100,00 token mark. Personal Computer includes several pre-packaged skills, file collections that include instructions and other assets designed to boost the quality of prompt responses. Perplexity says that the initial skill lineup focuses on use cases such as online research, data science and coding. Additionally, the company has added in a mechanism that verifies the accuracy of prompt responses. If Portable Computer's on-device model struggles to complete a task, it can request help from a cloud-based neural network. It can also connect to several popular software-as-a-service applications including GitHub. Portable Computer requests user permission before sending data to external tools and doesn't provide them with access to on-device files. According to Perplexity, the software also includes other guardrails. It features a sandbox that prevents language models from accessing parts of the user's operating system that aren't relevant to their work. Additionally, Portable Computer blocks unauthorized network connections. An upcoming update will expand the tool's availability beyond the DGX Spark to Windows machines that feature Nvidia RTX graphics cards. Additionally, Perplexity plans to add support for the chipmaker's recently released Nemotron 3.5 Lightning model. It's a mixture of experts algorithm with 30 billion parameters that is optimized to run on devices with limited processing capacity.
Security company Allied Universal warned Anthropic that its workers might go on strike, prompting the AI company to order its staff to work from home, but the security guards' union said it knew nothing about the strike. Anthropic told employees at its San Francisco offices to stay home Monday and Tuesday after receiving notice from its security contractor, Allied Universal, that its workers could potentially walk off the job, as Business Insider reports. The Service Employees International Union (SEIU), which represents many of the security workers, told the outlet it had neither authorized a strike nor threatened one for this week. The union reportedly said it has been engaged in lengthy contract negotiations with Allied and other California security companies since April. The union represents thousands of security workers statewide and is seeking higher wages, improved healthcare benefits, and more extensive job training. Neither company responded to requests for comment. According to Business Insider, Anthropic generally requires employees to work from its offices at least 25% of the time under its hybrid policy. Security concerns have also become an increasingly prominent issue across the tech industry, with The Wall Street Journal reporting threats against employees at both Anthropic and OpenAI. The timing comes as Anthropic prepares for a potential initial public offering. The company made a confidential filing in June and could file publicly as soon as August, while secondary-market trading has reportedly pushed its valuation to about $1.5 trillion. Allied Universal has also faced scrutiny in recent years. Oaklandside reported last year that the City of Oakland withdrew a proposed contract with the company after it was revealed that one of its subsidiaries works with US Immigration and Customs Enforcement. The city also found what it described as a "shocking" number of lawsuits and violations involving Allied. Earlier this month, Allied became the subject of a lawsuit over the theft of two shipping containers holding about $858,000 worth of merchandise from a Mercedes-Benz facility in Fontana, California, while the property was under the company's guards' watch. The complaint alleges that the guards failed to properly monitor surveillance footage, detect unauthorized vehicles entering the property, patrol the facility, or control access to the site.

One thing that could put a dent in the hype around Anthropic's upcoming, multitrillion dollar IPO? People preferring cheapo models over its flagship AI products. Recent spending data from 70,000 US companies collected by the payments group Ramp shows that spending on Fable 5, Anthropic's priciest and most powerful model, has plateaued at only 11 percent of the overall outlay, or money spent, on its AI tools, the Financial Times reported. It reflects a shift in how enterprise users are using flagship models, reserving them only for the most complex tasks while letting more than serviceable cheaper models take care of the dirty work. Those cheaper alternatives can be Anthropic's own older models, or open-weight models offered by Chinese competitors. If the pattern holds, according to the FT, it could upend the go-big-or-go-home business model of leading AI labs, which have focused on pouring their resources into building even larger and more complex models. "Most people don't need to operate at the frontier," Miles Clements, a partner at the venture capital firm Accel, which has invested $1 billion in Anthropic, told the FT. The period when customers favored using only frontier models "was not a durable era," Clements added. Fable 5 had a rocky launch in June. Its hype was clouded by its purportedly powerful ability to launch cyberattacks autonomously -- a narrative that Anthropic helped fuel, it's worth noting. The Trump administration ordered Anthropic to suspend access to its model to foreign customers, citing the national security risks posed by the model, but later lifted the export restrictions. The hope that take-up of Fable 5 would accelerate once the political controversy cleared hasn't been borne out, however, with the Anthropic model's adoption lagging behind the releases of its previous frontier models. Its annualized revenue -- the amount it's projected to make in a year based on its current performance -- in July reached $65 billion, which is well short of the $80 billion estimate set by bullish investors, the FT noted. OpenAI, meanwhile, is nipping at Anthropic's heels. After losing significant ground to Anthropic this year, the ChatGPT maker's annualized revenue has surged to $40 billion, with its new GPT-5.6 model, which is much cheaper to use than Fable 5, boosting sales. Some experts are seeing the plateaued Fable 5 spending as a glass half-full. Alex Imas, director of AGI economics at Google DeepMind, argued that Anthropic isn't worried about Fable spending in isolation but the "total spend across all models."

Cerebras is rolling out its CS-4 AI rack-scale solution this year but is also working on its next-gen CS-5 and CS6 solutions. Cerebras Takes Wafer Scale Engine To The Next-Level With CS-4, CS-5, and CS-6 AI Racks Last week, Cerebras took the curtains off its CS-4 rack-scale solution, which is powered by the WSE-3T chip. The WSE-3T is a boosted version of the WSE-3 (Wafer Scale Engine), offering much higher capabilities. At Hot Chips 2026, Cerebras is providing a deeper dive into its rack-scale solutions while also giving us a look at its next-gen solutions. So starting off with the Cerebras CS-4, it offers up to a 2x uplift in token generation speed and up to a 10x uplift in throughput per watt versus Cerebras's CS-3 solution. Being much larger than any GPU or compute accelerator due to its wafer-scale design, the current-gen WS-3 is already much ahead of the aforementioned solutions in Token Generation speed. With CS-4, that lead is taken up to 30x across various models. One of the advantages of the wafer-scale design is that Cerebras has a lot of room to expand. The chip is massive in size versus today's leading AI accelerator, NVIDIA Rubin. A single NVIDIA Rubin chip delivers up to 22 TB/s memory bandwidth, and AMD's MI455X delivers up to 23.3 TB/s of raw memory bandwidth. Cerebras CS-4 with a single WSE-3T chip offers 43,200 TB/s bandwidth, which is 2000x more bandwidth than Rubin. But we also need to understand that the bandwidth figures for NVIDIA and AMD chips are based on HBM4 solutions, while Cerebras is measuring the raw BW offered by the SRAM onboard the wafer. Moving forward, Cerebras is integrating the WSE-3T chips on CS-4 within its nexus rack-scale platform. Compared to CS-3, the new solution is designed with modularity in mind, offering a simpler build, faster deployment, and independent integration of power, compute, and IO. Nexus Goes Modular With WSE Backpacks & A Wire-Free Package Each Nexus rack is attached to pluggable backpacks, which contain one WSE-3T chip, each. Each of these backpacks is an innovation on its own, featuring a wafer package attached to twice the cooling and power, a wafer IO module with twice the bandwidth, 2x faster latency and room for additional modular upgrades, and the whole pack leverages an efficient manufacturing process which uses 50% fewer components and is 60% automated versus CS-3. Power distribution is important for AI factories. Each loss can lead to a severe lack of compute output. On Rubin, it is claimed that the 50mm distance between the converters and silicon leads to major power losses along paths within the PCB. As such, the system requires more copper layers to reduce resistive losses, which add to the costs and complexity of the system. Cerebras bypasses these losses through its 54.5VDC Busbar which involves no PCB between the power and the chip. The chip sits directly on the DC/DC Power convertors, and then there's also the shorter distance between the array of AC/DC power converters, which reduces extra resistive power losses and parasitic inductances. The result is a 100x improvement versus a traditional GPU setup since the distances are cut down to just 0.5mm (vs 50mm). For IO, Cerebras makes use of a next-gen interface module which extends the fabric from wafer edges and is both modular and programmable for the future. The IO interface is also low latency and high bandwidth, made possible through new direct wafer link interfaces and a standard RoCE protocol network. Each backpack also includes integrated water conditioning. The pack houses a flow regulation actuator which guarantees proper wafer flow rate, a leak detection module, valved dry quick disconnects, and an energy meter, making it easy to install while monitoring the system for potential leaks. The cooling itself goes in the rear. On the front, Cerebras houses the power, which includes AC/DC PSUs with up to 277VAC input and 54.5VDC output. There are up to 30x PSU modules per backpack, so 90 in total, and all of these are air-cooled with dedicated fan modules for cooling smaller devices in the backpack. Another area in which Cerebras shows its rack prowess is the fabric. CS-4 features a 53.5 PB/s fabric on the wafer itself and has no need for cables. Meanwhile, NVIDIA's Rubin NVL72 racks feature 5000 cables, offering up to 260 TB/s of NVLINK fabric speeds. This means CS-4 offers 200x higher fabric bandwidth than GPU interconnects. The bandwidth and latency advantages don't stop at the fabric. The WSE-3T chip offers 2.4 Tb/s of aggregate bandwidth at 3us latency, while the network latency between the wafers is 1.7x higher. We then move to a generalized comparison between the CS-3 and CS-4 rack-scale solutions. CS-3 was capable of 125 PFLOPs on a single WSE-3 chip while CS-4 offers 750 PFLOPs of AI compute with three WSE-3T chips (250 PFLOPs per chip). It has 132 GB of SRAM (44 GB per chip) versus 44 GB on the previous rack, with much higher bandwidth and less than half the bandwidth. With the speeds and feeds done, Cerebras showcases what to expect in terms of AI compute while also highlighting the capabilities of its current CS-3 rack, which it claims already runs the largest frontier model (GPT-5.6 SOL @ 10T parameters). Lastly, for the CS-4, Cerebras has already announced that the rack is in early access and general availability is scheduled for Q3 2026. CS-5 Tackles The AI Wall With Boosted Capabilities While CS-6 Goes 3D But there's more: Cerebras is also announcing its next-gen CS-5 and CS-6 rack-scale solutions for the first time. According to Cerebras, CS-5 will be launching in 2027 and is "Designed to set another standard of speed and efficiency". This solution will scale from 30B to multi-trillion-parameter models. For Gemma 4 31B and gpt-oss 120B, the company estimates up to 10,000 tokens per second per user, and in frontier models such as DeepSeek, Kimi, GPT 5.6 SOL, CS-5 is expected to hit up to 5000 tokens per second per user with up to 3 million tokens per second per MW. There's also CS-6, which is expected to take full advantage of 3D packaging solutions with a yield-resilient architecture, a vertical power delivery solution, & a fully integrated cooling methodology. The Wafer Scale Engine for CS-6 will integrate Wafer-Scale SCRAM on top of the WSE chip through 3D integration, while being an order of magnitude smaller in footprint with the fastest AI inference speeds on the market. This is a very forward-looking design for now, but it looks like Cerebras has the stage set for future AI models and is scaling its wafer-scale engines to meet the accelerated AI growth big time. 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OpenAI's Head of Data Centers Has Left the Company Chris Malone joins a string of recent high-level executive departures as the AI giant heads toward an IPO and ramps up its spending on computing power. ---- Anthropic Expected to Tell Investors It Sees Over $30 Trillion in Potential Revenue The AI startup is likely to top SpaceX's eye-popping potential revenue estimate. ---- California Attorney General Ramps Up Criticism of Paramount Rob Bonta said Paramount is more focused on the "court of public opinion" than the court of law in the Warner merger fight. ---- Intuit Forecasts Slower Growth, Takes Steps to Win More TurboTax Users The company said it expects revenue to increase 9% to 10% for fiscal 2027, slowing from 14% this year, as it recorded a lower profit in its latest quarter. ---- Zoom Reports Solid Earnings. The Stock Drops Anyway. Zoom reported adjusted earnings of $1.55 a share for the quarter, up from $1.53 a year ago and above analysts' expectations for $1.48, per FactSet. ---- Starbucks Union Calls for Boycott in Latest Test of Company Turnaround Starbucks Workers United is seeking a contract agreement. For investors, the key question is whether the boycott move will affect customer behavior at a meaningful scale. ---- Dick's Sporting Goods Bet Big on Sneakers With Foot Locker. It Backfired. Shares tumbled after the retailer revealed footwear discounts are sapping profits. The chairman defended a $2.4 billion deal for the sneaker chain. ---- United Airlines Ups Its Bet on Instagrammable International Destinations Robust travel demand from Americans is helping fuel new routes like Marseille and Ibiza. ---- Bank of Montreal Plans to Buy Back Shares After Strong Quarter The big Canadian lender benefited from double-digit revenue growth and an improved credit performance in its fiscal third quarter, with the lowest provision on impaired loans in the last 10 quarters, though its bottom line was squeezed by one-time charges for its exit from certain businesses. ---- Scotiabank Earnings Lifted by Record Result in Wealth Management Bank of Nova Scotia notched a rise in third-quarter earnings, driven by strong results across its business lines that included a record result from its global wealth management and global banking and markets operations. ---- OnlyFans Paid $700 Million Dividend to Founder Year Before He Died The online platform, widely known for its explicit content, was a reliable cash machine despite employing fewer than 50 people. ---- Oura and Dunkin' Get Ready to Join IPO Bonanza Investors are sizing up the parade of new offerings expected in coming months. ---- Hyundai Motor, Union Reach Wage Deal to End Walkouts The tentative wage agreement ends months of on-and-off walkouts that have disrupted production at the Korean automaker. ---- One of Taiwan's Biggest AI Winners Isn't a Chip Maker Taiwan's richest person rode the AI boom but his company has nothing to do with technology-it's a furniture-component maker called King Slide Works. ---- Woodside Puts 'Everything on the Table' in Review of Beaumont Facility Chief Executive Liz Westcott said the review reflected a shift in international policy positions and slack demand for lower carbon ammonia. ---- Lego Sales Growth Outpaces Global Toy Market to Hit New Record Lego reported record sales for the first half of the year as it launched hundreds of new products. (END) Dow Jones Newswires August 25, 2026 17:15 ET (21:15 GMT) Copyright (c) 2026 Dow Jones & Company, Inc.

Kraken Pro has integrated as an official broker on TradingView, allowing users to execute buy and sell orders directly from the analysis terminal without needing to switch windows or platforms. The connection is established via OAuth, a process that takes less than one minute and does not require the generation, storage, or rotation of API keys. Once the account is linked, TradingView's broker panel displays the available balance, position size, and order types without leaving the chart. The integration covers the spot market across the full range of pairs available on Kraken Pro. From the panel, users can place market, limit, and stop orders, with direct execution against Kraken's order book. Additional products, such as instruments outside the spot segment, will be incorporated in later phases and currently require operating directly from the Kraken Pro terminal. The initiative aims to eliminate friction between technical analysis and execution, a common workflow issue for active traders who use TradingView as their primary analysis environment. Access can be revoked at any time from the account settings on the exchange. Source: https://blog.kraken.com/product/pro/now-available-on-tradingview Disclaimer: Crypto Economy Flash News are based on verified public and official sources. Their purpose is to provide fast, factual updates about relevant events in the crypto and blockchain ecosystem. This information does not constitute financial advice or investment recommendation. Readers are encouraged to verify all details through official project channels before making any related decisions.

Related reads:[UPDATE] GTA 6 Leaker Releases Game Store, Nightclub and Beach Gameplay Videos, Defends Crypto Scheme Discord has countered online reports about Take-Two's hunt for the identity of the GTA 6 leaker, saying it has yet to be formally served a subpoena, and when it does receive it, it will take a long, hard look at it before responding. On Friday, Andrew L. Carter Jr., Judge of the United States District Court for the Southern District of New York, granted Take-Two's request to subpoena Discord to divulge identifying information about users the Rockstar owner believes are tied to the leaks. Take-Two's subpoena of Microsoft was also granted. But while Microsoft has issued a statement to say it's happy to work with Take-Two and Rockstar to help unearth the GTA 6 leaker, Discord issued a different line overnight. "I can share an update on this," Discord marketing director Ryan K. Rigney said in a tweet. "Discord has not yet been served with a subpoena from Take-Two. When we do, we'll evaluate the validity and scope before responding." Take-Two issued the subpoenas alleging Digital Millennium Copyright Act (DMCA) infringement. It wants information and records relating to the 'CyberLeek' account, which is allegedly behind the GTA 6 leaks. The subpoenas request identifying information associated with user accounts that were members of a number of Discord servers. One of the Discord servers mentioned in the filing is 'discord.gg/darkviperau,' which is described as the DarkViperAU editors' server. DarkViperAU is the online name of Australian GTA content creator Matthew "Matt" Judge, who has 2.27 million subscribers on YouTube and nearly 900,000 followers on Twitch. Judge has denied any wrongdoing. Reclaim The Net, a group that advocates for free speech and privacy, criticised the Discord subpoena in a tweet. "Copyright law is supposed to target infringement," it said. "Here, it's being used to hunt for identities. Take-Two is seeking DMCA subpoenas that could expose users who didn't leak or upload GTA VI footage, but who participated in conversations within Discord servers where the leak was discussed." In an article, Reclaim The Net continued: "One of the Discord servers in question has over 107,000 members, and while it is not clear if Take-Two is going after each and every one of them, the request does say 'all identifying information associated with all user accounts' that were or are members of three named servers since June 1 - and that participated in a conversation in those servers. "In this case, Take-Two Interactive's one filings make it clear that they're not limited to whoever is uploading the leaks, they're targeting entire communities and channels that are merely existing in the same Discord server as those alleged leakers. "This is now the pursuit of a membership list under the color of the enforcement of copyright. While it can be crushed if people push back, there's actually nothing about the DMCA process that discourages this in a strong enough way. "To file a claim is cheap and quick, and the compliance cost falls on the platforms. There was a time when companies would at least try to maintain the guise that their targets were limited to infringement but, these days, they're getting more brazen and now hitting anyone who happens to have been standing nearby." It is unclear if Microsoft has actually been served with Take-Two's subpoena, either, although according to court documents it looks like Microsoft had already launched an investigation of its own into the CyberLeek account. Meanwhile, the subpoena for Twitter / X has yet to be signed off, but that may simply be a formality. All the while, the GTA 6 leaks continue, and there is fresh concern that CyberLeek will release significant story spoilers. Neither Rockstar nor Take-Two have issued a statement. IGN has asked for comment. GTA 6 is due out on PlayStation 5 and Xbox Series X and S on November 19, 2026. Photo by Jakub Porzycki/NurPhoto via Getty Images. Wesley is Director, News at IGN. Find him on Twitter at @wyp100. You can reach Wesley at [email protected] or confidentially at [email protected]. Related reads:Former Rockstar Dev Calls GTA 6 Leaks 'A Nothing Burger,' Insists Hot Coffee Was Much, Much Worse

Anthropic has introduced a direct and sometimes uncomfortable financial inquiry during its hiring process for senior roles. According to a report from Axios, recruiters now ask prospective employees a pointed question about their personal financial situation: how much money they have in the bank and whether they could afford to work for a year without drawing a salary. This approach marks a shift in how one of the leading artificial intelligence companies evaluates talent. The query serves multiple purposes. First, it helps determine a candidate's genuine interest in the mission of building safe and reliable AI systems rather than chasing the highest compensation package available in a competitive market. Second, it signals the company's preference for individuals who demonstrate financial independence and long-term commitment over those who might treat the position as a short-term stepping stone. The practice reflects broader pressures facing AI organizations as they scale rapidly. Anthropic, valued at more than $60 billion following recent funding rounds, competes fiercely with OpenAI, Google DeepMind, Meta, and numerous well-funded startups for the same limited pool of researchers, engineers, and policy experts. Compensation packages in this sector often include seven-figure salaries, significant equity grants, and performance bonuses that can reach tens of millions of dollars. Against that backdrop, a question about personal savings can feel jarring. Candidates who have encountered the inquiry describe it as blunt but effective at revealing priorities. Some report being asked variations of the question during late-stage interviews, typically after technical assessments and team meetings have already taken place. Recruiters frame the discussion around alignment with company values, emphasizing that Anthropic seeks people motivated by the potential societal impact of advanced AI rather than purely financial gain. The company's leadership has long stressed the importance of careful, responsible development of frontier AI models. Dario Amodei, Anthropic's chief executive and co-founder, has spoken publicly about the need to prioritize safety research even when it slows commercial progress. This philosophy appears to extend to hiring decisions. By probing financial circumstances, the organization aims to identify individuals who share that patient, mission-driven outlook and who will not be easily lured away by competing offers. Industry observers point out that such questions, while uncommon in most corporate settings, have precedents in certain specialized fields. Venture capital firms sometimes evaluate founders based on their runway and personal commitment. Research institutions have historically favored academics who demonstrate dedication to pure inquiry over monetary rewards. In the AI sector, where talent wars have driven compensation to extraordinary levels, Anthropic's approach represents an attempt to filter for intrinsic motivation. Not every candidate responds positively to the question. Some view it as an invasion of privacy that has little bearing on their professional qualifications. Others worry that answering honestly could weaken their negotiating position on salary and equity. Legal experts note that while employers generally have latitude to ask about financial stability in certain contexts, such questions must be applied consistently to avoid potential discrimination claims. Anthropic appears to direct the inquiry primarily at senior individual contributors and leadership positions rather than entry-level roles. The timing of this reported practice coincides with significant changes in the AI industry funding environment. After years of abundant capital and skyrocketing valuations, investors have grown more selective about where they deploy resources. Companies face pressure to demonstrate efficient growth and sustainable business models. In this climate, organizations like Anthropic may see advantages in building teams of people who are less likely to demand constant compensation increases or depart for marginally better offers elsewhere. Former employees and recruiters familiar with the company's process suggest the financial question forms part of a larger evaluation framework. Interviewers also explore a candidate's views on AI ethics, their tolerance for uncertainty in a rapidly changing field, and their willingness to engage with complex safety challenges. The combination of technical excellence, philosophical alignment, and financial independence appears to define the ideal Anthropic profile. This hiring strategy carries both advantages and risks. On the positive side, it may help create a more stable workforce less susceptible to the frequent job-hopping that characterizes Silicon Valley. Employees who join primarily for the work itself often display higher engagement and remain through challenging periods. The approach could also foster a culture where decisions prioritize long-term safety considerations over short-term commercial gains. Potential drawbacks exist as well. The question could inadvertently screen out talented individuals who carry student debt, support families, or come from backgrounds without generational wealth. In an industry already criticized for lacking diversity, additional financial filters might narrow the applicant pool further. Some critics argue that true commitment should be assessed through past behavior, research contributions, and interview performance rather than personal balance sheets. Anthropic has not publicly commented on the specific hiring question, but its overall approach to recruitment emphasizes careful selection. The company maintains a relatively small headcount compared to its valuation and ambitions, suggesting a deliberate focus on quality over quantity. This selectivity extends beyond technical skills to encompass character traits and personal circumstances that might influence an employee's staying power. The broader AI talent market continues to evolve in response to these dynamics. Other organizations have adopted different strategies to attract and retain top performers. Some offer equity packages tied to multi-year vesting schedules with steep cliffs. Others emphasize prestigious research environments and the opportunity to publish groundbreaking work. A few have experimented with profit-sharing models or impact-focused incentives designed to appeal to mission-driven candidates. For job seekers in artificial intelligence, the emergence of such questions requires new preparation. Candidates must consider not only how to present their technical accomplishments but also how to articulate their personal motivations and financial resilience. Those uncomfortable discussing their savings may need to weigh whether a particular organization's culture aligns with their own values and boundaries. The practice also raises interesting questions about the relationship between personal wealth and professional dedication. Does financial independence truly correlate with better performance in high-stakes AI development? Or does it simply reflect a preference for candidates from privileged backgrounds? These debates touch on larger societal conversations about merit, opportunity, and the role of money in shaping technological progress. As artificial intelligence capabilities advance, the humans guiding that development take on increasing significance. Companies like Anthropic appear to believe that understanding a candidate's complete picture, including their financial situation, provides valuable insight into their potential contributions. Whether this approach proves successful will become clearer over time as the organization releases new models and navigates the complex challenges of scaling safe AI systems. The trend toward more personal and values-based hiring criteria may spread beyond Anthropic. In an industry where traditional metrics like degrees from elite universities or publications in top conferences no longer sufficiently distinguish candidates, organizations are searching for additional signals of fit. Financial questions represent one such signal, albeit a controversial one that forces both companies and candidates to confront the role of money in ostensibly mission-driven work. Recruiting professionals predict that similar inquiries could appear at other AI laboratories facing comparable pressures. The combination of high burn rates, intense competition, and existential questions about technology governance creates conditions where conventional hiring practices feel inadequate. Organizations may increasingly look beyond resumes to assess the whole person, including their economic circumstances and underlying motivations. For now, the reported Anthropic practice stands out as a notable example of how far some companies will go to ensure alignment between their ambitious goals and the individuals tasked with achieving them. The question about bank balances serves as both a practical assessment of runway and a philosophical litmus test. In an era of unprecedented investment in artificial intelligence, it reminds everyone involved that the most valuable resource remains committed human attention guided by something deeper than financial reward. This development occurs against a backdrop of growing scrutiny over AI company practices, from compensation structures to safety commitments. How organizations answer the question of what makes a good AI researcher or engineer will influence not only their competitive position but also the direction of technological development itself. Anthropic's willingness to ask uncomfortable financial questions suggests a conviction that getting the right people matters more than maintaining conventional recruiting etiquette. As the field matures, other companies may find themselves adopting or adapting similar approaches to secure the talent they believe will determine success in the coming years of AI advancement.

Anthropic has introduced a direct and sometimes uncomfortable financial inquiry during its hiring process for senior roles. According to a report from Axios, recruiters now ask prospective employees a pointed question about their personal financial situation: how much money they have in the bank and whether they could afford to work for a year without drawing a salary. This approach marks a shift in how one of the leading artificial intelligence companies evaluates talent. The query serves multiple purposes. First, it helps determine a candidate's genuine interest in the mission of building safe and reliable AI systems rather than chasing the highest compensation package available in a competitive market. Second, it signals the company's preference for individuals who demonstrate financial independence and long-term commitment over those who might treat the position as a short-term stepping stone. The practice reflects broader pressures facing AI organizations as they scale rapidly. Anthropic, valued at more than $60 billion following recent funding rounds, competes fiercely with OpenAI, Google DeepMind, Meta, and numerous well-funded startups for the same limited pool of researchers, engineers, and policy experts. Compensation packages in this sector often include seven-figure salaries, significant equity grants, and performance bonuses that can reach tens of millions of dollars. Against that backdrop, a question about personal savings can feel jarring. Candidates who have encountered the inquiry describe it as blunt but effective at revealing priorities. Some report being asked variations of the question during late-stage interviews, typically after technical assessments and team meetings have already taken place. Recruiters frame the discussion around alignment with company values, emphasizing that Anthropic seeks people motivated by the potential societal impact of advanced AI rather than purely financial gain. The company's leadership has long stressed the importance of careful, responsible development of frontier AI models. Dario Amodei, Anthropic's chief executive and co-founder, has spoken publicly about the need to prioritize safety research even when it slows commercial progress. This philosophy appears to extend to hiring decisions. By probing financial circumstances, the organization aims to identify individuals who share that patient, mission-driven outlook and who will not be easily lured away by competing offers. Industry observers point out that such questions, while uncommon in most corporate settings, have precedents in certain specialized fields. Venture capital firms sometimes evaluate founders based on their runway and personal commitment. Research institutions have historically favored academics who demonstrate dedication to pure inquiry over monetary rewards. In the AI sector, where talent wars have driven compensation to extraordinary levels, Anthropic's approach represents an attempt to filter for intrinsic motivation. Not every candidate responds positively to the question. Some view it as an invasion of privacy that has little bearing on their professional qualifications. Others worry that answering honestly could weaken their negotiating position on salary and equity. Legal experts note that while employers generally have latitude to ask about financial stability in certain contexts, such questions must be applied consistently to avoid potential discrimination claims. Anthropic appears to direct the inquiry primarily at senior individual contributors and leadership positions rather than entry-level roles. The timing of this reported practice coincides with significant changes in the AI industry funding environment. After years of abundant capital and skyrocketing valuations, investors have grown more selective about where they deploy resources. Companies face pressure to demonstrate efficient growth and sustainable business models. In this climate, organizations like Anthropic may see advantages in building teams of people who are less likely to demand constant compensation increases or depart for marginally better offers elsewhere. Former employees and recruiters familiar with the company's process suggest the financial question forms part of a larger evaluation framework. Interviewers also explore a candidate's views on AI ethics, their tolerance for uncertainty in a rapidly changing field, and their willingness to engage with complex safety challenges. The combination of technical excellence, philosophical alignment, and financial independence appears to define the ideal Anthropic profile. This hiring strategy carries both advantages and risks. On the positive side, it may help create a more stable workforce less susceptible to the frequent job-hopping that characterizes Silicon Valley. Employees who join primarily for the work itself often display higher engagement and remain through challenging periods. The approach could also foster a culture where decisions prioritize long-term safety considerations over short-term commercial gains. Potential drawbacks exist as well. The question could inadvertently screen out talented individuals who carry student debt, support families, or come from backgrounds without generational wealth. In an industry already criticized for lacking diversity, additional financial filters might narrow the applicant pool further. Some critics argue that true commitment should be assessed through past behavior, research contributions, and interview performance rather than personal balance sheets. Anthropic has not publicly commented on the specific hiring question, but its overall approach to recruitment emphasizes careful selection. The company maintains a relatively small headcount compared to its valuation and ambitions, suggesting a deliberate focus on quality over quantity. This selectivity extends beyond technical skills to encompass character traits and personal circumstances that might influence an employee's staying power. The broader AI talent market continues to evolve in response to these dynamics. Other organizations have adopted different strategies to attract and retain top performers. Some offer equity packages tied to multi-year vesting schedules with steep cliffs. Others emphasize prestigious research environments and the opportunity to publish groundbreaking work. A few have experimented with profit-sharing models or impact-focused incentives designed to appeal to mission-driven candidates. For job seekers in artificial intelligence, the emergence of such questions requires new preparation. Candidates must consider not only how to present their technical accomplishments but also how to articulate their personal motivations and financial resilience. Those uncomfortable discussing their savings may need to weigh whether a particular organization's culture aligns with their own values and boundaries. The practice also raises interesting questions about the relationship between personal wealth and professional dedication. Does financial independence truly correlate with better performance in high-stakes AI development? Or does it simply reflect a preference for candidates from privileged backgrounds? These debates touch on larger societal conversations about merit, opportunity, and the role of money in shaping technological progress. As artificial intelligence capabilities advance, the humans guiding that development take on increasing significance. Companies like Anthropic appear to believe that understanding a candidate's complete picture, including their financial situation, provides valuable insight into their potential contributions. Whether this approach proves successful will become clearer over time as the organization releases new models and navigates the complex challenges of scaling safe AI systems. The trend toward more personal and values-based hiring criteria may spread beyond Anthropic. In an industry where traditional metrics like degrees from elite universities or publications in top conferences no longer sufficiently distinguish candidates, organizations are searching for additional signals of fit. Financial questions represent one such signal, albeit a controversial one that forces both companies and candidates to confront the role of money in ostensibly mission-driven work. Recruiting professionals predict that similar inquiries could appear at other AI laboratories facing comparable pressures. The combination of high burn rates, intense competition, and existential questions about technology governance creates conditions where conventional hiring practices feel inadequate. Organizations may increasingly look beyond resumes to assess the whole person, including their economic circumstances and underlying motivations. For now, the reported Anthropic practice stands out as a notable example of how far some companies will go to ensure alignment between their ambitious goals and the individuals tasked with achieving them. The question about bank balances serves as both a practical assessment of runway and a philosophical litmus test. In an era of unprecedented investment in artificial intelligence, it reminds everyone involved that the most valuable resource remains committed human attention guided by something deeper than financial reward. This development occurs against a backdrop of growing scrutiny over AI company practices, from compensation structures to safety commitments. How organizations answer the question of what makes a good AI researcher or engineer will influence not only their competitive position but also the direction of technological development itself. Anthropic's willingness to ask uncomfortable financial questions suggests a conviction that getting the right people matters more than maintaining conventional recruiting etiquette. As the field matures, other companies may find themselves adopting or adapting similar approaches to secure the talent they believe will determine success in the coming years of AI advancement.

Cerebras Systems (CBRS) is giving investors another reason to pay attention to its ambitions in the rapidly expanding artificial intelligence (AI) accelerator market. On Aug. 18, the company unveiled its new CS-4 rack-scale platform, which it says can deliver up to 30 times faster AI inference than comparable GPU-based systems. Built around three new WSE-3 Turbo processors, CS-4 delivers 750 petaflops of AI compute, 7.2 terabits per second of I/O bandwidth, and 129.6 petabytes per second of memory bandwidth. The launch comes at a critical time for Cerebras. The company is seeking to establish itself as a credible alternative to Nvidia (NVDA) in AI inference, where demand is rising as businesses deploy increasingly sophisticated generative AI and agentic applications. Cerebras says CS-4 can support models exceeding 50 trillion parameters and reduce wafer-to-wafer latency to as little as two microseconds, potentially giving customers a significant speed advantage for latency-sensitive workloads. More News from Barchart However, the technology opportunity must be weighed against Cerebras' execution challenges. In its second quarter, reported revenue reached $180.1 million. Yet profitability remains a concern, and CBRS shares have shown considerable volatility following the company's recent earnings report. For investors, CS-4 could strengthen the long-term bullish case, but the stock remains a high-risk AI play. About Cerebras Systems Stock Cerebras Systems is a Sunnyvale, California-based artificial intelligence semiconductor company that develops specialized computing systems and processors designed to accelerate AI workloads, particularly inference. Its flagship Wafer-Scale Engine (WSE) technology integrates compute and memory on a single wafer, offering an alternative to conventional GPU-based architectures. The company has a market cap of around $49.1 billion. Cerebras has experienced significant volatility since its Nasdaq debut, as investor excitement over the AI infrastructure opportunity has been tempered by concerns surrounding its valuation and profitability. The company priced its IPO at $185 per share and started trading on May 14, 2026. CBRS opened at $350 and ended its first trading session at $311.07, marking a 68.2% gain over its IPO price and placing it among the year's strongest new listings.

Nvidia reportedly eyes another investment in Perplexity AI at a $30B valuation Nvidia Corp. is reportedly considering making another investment in the artificial intelligence search startup Perplexity AI Inc. A report by The Information says the chipmaker is holding talks with Perplexity over an investment that could push the startup's valuation to more than $30 billion. That would represent a jump of more than 50% from the $20 billion valuation Perplexity finalized about a year ago, when it last raised money. The size of Nvidia's potential investment was not disclosed, and there's no guarantee that any deal would be reached, The Information said, citing anonymous sources who are familiar with the discussions. Neither Nvidia nor Perplexity would comment on the reported discussions. Perplexity is an attractive target for investors for its business has continued to grow at a rapid rate. According to The Information, the startup has grown its annualized revenue run rate to an impressive $750 million, up from less than $250 million at the start of the year. If true, that would mean it has managed to triple its revenue run rate in just eight months. One of the main reasons for that impressive growth is Perplexity Computer, a cloud-based AI agent that was first released in April for Mac computers and later expanded to Windows devices. Perplexity Computer is designed to automate computer tasks for professional users. It acts as a general-purpose digital worker that can access authorized files and applications on a user's computer. Users can ask it to create or edit Word documents, update Excel spreadsheets, organize files, conduct online research and complete workflows involving multiple applications. The proposed investment would deepen an existing relationship between Nvidia and Perplexity. The chipmaker is already one of its main financial backers, alongside Amazon.com Inc. founder Jeff Bezos and SoftBank Group Corp. Nvidia has become an increasingly important partner for AI startups like Perplexity, and sees its bet on the startup as an investment in its future. As the world's top supplier of silicon for high-frequency AI inference, it has a vested interest in making sure that the search layer - which is a massive compute ecosystem - remains aligned with its chip ecosystem. What Nvidia doesn't want is for the likes of Perplexity and others to go sniffing around rival chipmakers such as Advanced Micro Devices Inc. and Cerebras Systems Inc., which both offer alternative chips for AI inference. In that way, Nvidia is investing in Perplexity as a kind of insurance policy to safeguard its future revenue stream against possible shifts in AI search architecture. Perplexity's strategic importance to Nvidia is amplified by its distribution efforts, such as its integration with Samsung Electronics Co. Ltd.'s Bixby assistant, which brings its search capabilities to around 800 million devices globally. The AI search firm is also believed to be fixed on a 2028 initial public offering, which means Nvidia has a clear timeline to realize a return on its investment. Nvidia's broader portfolio includes many of its major compute customers, including OpenAI Group PBC, Anthropic PBC, SpaceX Corp.'s xAI, Poolside Inc. and Safe Superintelligence Inc. It shows how the chipmaker has taken a systematic approach to ensuring its market dominance. By supplying the critical infrastructure and acting as a key investor at the application layer, Nvidia has effectively built a self-reinforcing cycle of demand for its chips. Nvidia is also trying to provide direct funding to customers that need to invest in its AI compute hardware. It recently struck a deal with six of Wall Street's biggest financial institutions to provide more than $500 billion in financing for AI infrastructure projects, including its own and those of its customers. Meanwhile, Perplexity has been racing to build out the infrastructure foundation it needs to support its own growth. Earlier this year, it struck a $750 million deal with Microsoft Corp. that will see it adopt that company's Azure cloud services to help run its AI workloads.
Disclaimer: Crypto is a high-risk asset class. This article is provided for informational purposes and does not constitute investment advice. You could lose all of your capital. Can a single upgrade close a gap of more than 50%? That is the question behind the latest Claude AI price prediction, where the model predicts Ethereum (ETH) reaching $3,500 to $4,000 by year's end 2026, with $3,800 as the realistic base case. The chart already moved first. Ethereum price spent July and August pinned near $1,900 before ripping vertically to $2,448 in a matter of days. That pump reset the entire conversation. A market that looked forgotten is suddenly trading 25% above where it sat two weeks ago. The catalyst behind the forecast is Glamsterdam. It is the largest Ethereum upgrade since the Merge, and it went live on the Platåberget public testnet on August 20. Mainnet is scheduled for Q4. Standard Chartered ties its own $4,000 target directly to that timeline. Treasury demand is building alongside it. BitMine added 9,926 ETH on August 17, pushing its holdings to 5.82 million ETH, roughly 4.8% of supply and around $11 billion. The regulatory piece is still open. Fidelity's staking-enabled FETH filing remains pending SEC review. Flows have held up better than sentiment suggested. ETH ETF inflows over 30 days reached $524.3 million even as daily flows flattened. The bear case is about positioning. Long exposure is crowded at 69.6% of Binance accounts, and a Glamsterdam delay could break $1,860 support. That break risks a slide to $1,500. Make Your Prediction Count With $25 For Free on Kalshi Ethereum Price Prediction: Dario Amodei Claude AI Predicts Glamsterdam Reopens the Ceiling The damage here has been severe and slow. Ethereum peaked near $4,860 in September 2025, then spent five months grinding down through every support it built. February 2026 broke everything at once, dumping price to $1,740. March through May offered a weak recovery toward $2,450 that failed, and June sent Ethereum back to $1,500. July and August built a quiet floor near $1,900. That base is exactly what made this week's candle possible. Ethereum closed at $2,448.0, up $25.2 for a gain of 1.04%, with a session range from $2,356.3 to $2,483.6. The modest change tells you the vertical leg is already done, and ETH price is holding its gains. Resistance sits at $2,483.6, then the May swing near $2,450, which is now cleared, then $2,800. Support runs through $2,356 and $2,100, with the $1,860 line being the one that actually matters. RSI reads 78.70 against a signal line at 62.88. The 16-point gap is elevated without being extreme. That is a healthier picture than a runaway spike. Momentum is strong, and the rising signal line beneath suggests the move has structural support rather than pure reflex. Q4 is where this gets settled. Deliver Glamsterdam on schedule, and $3,800 stops looking distant. Supercharge Your Trading in 2026 With BloFin AI Trading Bots Ethereum Is Betting One Upgrade Can Reopen the Ceiling. LiquidChain Is Betting the Bigger Constraint Is Between Chains. Glamsterdam is designed to make Ethereum itself faster, cheaper, and more capable. LiquidChain is targeting a different bottleneck: the fact that even upgraded networks still operate as isolated liquidity islands. Bitcoin, Ethereum, and Solana each have deep pools of capital, but moving between them still means bridges, duplicated deployments, added fees, and fragmented user flows. LiquidChain is building a single execution layer that connects all 3, enabling a single deployment to reach multiple ecosystems without rebuilding the same application chain by chain. That gives LiquidChain a thesis that does not depend on one network winning. It benefits from activity existing across several major ecosystems at once. The presale is currently priced at $0.01493 with just over $948,000 raised. If the next DeFi cycle is driven by capital moving more freely between chains, LiquidChain is still being valued at the stage where relatively modest inflows can matter.

By Henrique Santiago ( August 24, 2026, 22:01 GMT | Insight) -- Discord has appealed a National Data Protection Agency decision to ban its livestreaming features in Brazil, arguing that only the judiciary has the authority to impose such restrictions under Brazil's child online safety rules. The company also challenged the agency's decision-making process and said the measure affects millions of users while doing little to curb criminal activity online.Discord has asked Brazil's privacy regulator, the National Data Protection Agency (ANPD), to allow it to resume its live broadcasts.... Prepare for tomorrow's regulatory change, today MLex identifies risk to business wherever it emerges, with specialist reporters across the globe providing exclusive news and deep-dive analysis on the proposals, probes, enforcement actions and rulings that matter to your organization and clients, now and in the longer term. Know what others in the room don't, with features including: * Daily newsletters for Antitrust, M&A, Trade, Data Privacy & Security, Technology, AI and more * Custom alerts on specific filters including geographies, industries, topics and companies to suit your practice needs * Predictive analysis from expert journalists across North America, the UK and Europe, Latin America and Asia-Pacific * Curated case files bringing together news, analysis and source documents in a single timeline Experience MLex today with a 14-day free trial.
