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The collaboration is designed to build a sovereign AI infrastructure that is rooted in India’s staggering linguistic diversity, a challenge no global AI model has adequately addressed thus far.
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PRBench evaluates whether AI agents can replicate computational results from real physics papers.
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The partnership aims to test in-orbit debris removal using Pixxel’s satellite platform for Cosmoserve’s upcoming demonstration mission.
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Companies operating fully owned GCCs report cost savings of 25–35% compared with building equivalent teams in developed markets.
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The shutdown makes it clear that even OpenAI can’t focus on everything. But does this ease the anxiety of startup founders?
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Americans are increasingly turning to artificial intelligence to help with things like research, writing, school or work projects, and analyzing data — but they’re not exactly happy about it. Even as AI use and adoption rises, Americans continue to lack trust in the new tool, according to aQuinnipiac University pollpublished Monday. Of the nearly 1,400 Americans surveyed, more than three-quarters said they don’t trust AI — 76% say they trust it rarely or only sometimes, compared to just 21% who trust it most or almost all of the time. That comes even as an increasing number of Americans adopt AI in their daily lives; only 27% said they’ve never used AI tools, down from 33% in April 2025. “The contradiction between use and trust of AI is striking,” said Chetan Jaiswal, a computer science professor at Quinnipiac. “Fifty-one percent say they use AI for research, and many also use it for writing, work, and data analysis. But only 21 percent trust AI-generated information most or almost all of the time. Americans are clearly adopting AI, but they are doing so with deep hesitation, not deep trust.” Part of that lack of trust might come from a feeling of dread about the future AI will bring. The poll found only a paltry 6% were “very excited” about AI while 62% were either not so excited or not at all excited. Those numbers are basically flipped when we talk about concern: 80% are either very concerned or somewhat concerned about AI, with millennials and baby boomers taking the mantle of most worried, and Gen Z following not far behind. A solid half (55%) say AI will do more harm than good in their day-to-day lives, while only a third say AI will do more good than harm, according to the poll. More people have negative views about AI compared to last year’s survey, according to the researchers — which may not be surprising after a year of Big Tech layoffs, life-endingAI psychosis cases, and energy-grid-straining data centers. Americans across the board oppose building AI data centers in their communities, with 65% saying they wouldn’t want one built, primarily citing high electricity costs and water use. A majority (70%) think AI advancements will cut the number of job opportunities, whereas only 7% think AI will lead to more job opportunities. That’s a shift from the 56% of Americans who last year thought advancements in AI would lead to a decrease in jobs and the 13% who thought AI would increase job opportunities. Members of Gen Z, born between 1997 and 2008, are the most pessimistic, with 81% foreseeing a decrease in jobs. They’re not exactly imagining it, either. Entry-level job postings in the U.S. havesunk 35% since 2023,and AI leaders like Anthropic CEO Dario Amodei havewarnedthat the tech will wipe out jobs. “Younger Americans report the highest familiarity with AI tools, but they are also the least optimistic about the labor market,” Tamilla Triantoro, a professor of business analytics and information systems at Quinnipiac, said in a statement. “AI fluency and optimism here are moving in opposite directions.” Interestingly, even though most Americans are worried about AI’s effect on the labor market as a whole, most don’t think it’s coming for their jobs specifically. Among employed Americans, 30% are concerned AI will make their jobs obsolete. Still, that’s up from 21% last year. “Americans are more worried about what AI may do to the labor market than about what it may do to their own jobs,” Triantoro said. “People seem more willing to predict a tougher market than to picture themselves on the losing end of that disruption — a pattern worth watching as the technology moves deeper into the workplace,” Perhaps a big reason Americans have trust issues with AI is because they don’t believe the companies behind the technology are telling the truth. Two-thirds of respondents said businesses aren’t doing enough to be transparent about their AI use. That same percentage also says the government isn’t doing enough to regulate AI. The sentiment comes as states push to maintain their authority over AI rules, even as federal officials — including under Trump’s latest, largelylight-touch AI framework— and industry leaders advocate for limiting state-level regulation. “Americans are not rejecting AI outright, but they are sending a warning,” Triantoro said. “Too much uncertainty, too little trust, too little regulation, and too much fear about jobs.”
LiteLLM, makers of popular AI gateway used by millions of developers, haspublicly announcedthat it is ditching compliance startup Delve and will redo its security certifications with another company and auditor. The announcement comes after LiteLLM’s open source version fell victim to some horrificcredential-stealing malwarelast week. Prior to the incident, LiteLLM had obtained two security compliance certifications by hiring AI compliance startup Delve. Such certifications are intended to verify that a company has procedures in place to minimize potential incidents. Delve has beenaccused of misleading its customers about their true complianceby allegedly generating fake data and using auditors that rubber-stamped their reports. Delve’s founder hasdenied those allegationsand offered free re-tests and audits to all of its customers. That denial encouraged the anonymous Delve whistleblower to double down,including releasing alleged receipts over the weekend. On Monday, LiteLLM CTO Ishaan Jafferpostedon X that his company will be using Delve competitor Vanta to re-certify and will find its own, independent third-party auditor to verify its compliance controls. After such a harsh week, LiteLLM is voting with its feet.
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Would you trade your manager for a chatbot? A growing number of Americans are saying yes. According to aQuinnipiac University pollpublished Monday, 15% of Americans say they’d be willing to have a job where their direct supervisor was an AI program that assigned tasks and set schedules. Quinnipiac surveyed 1,397 adults in the United States and conducted the poll — which included questions aboutAI adoption, trust, and job fears— between March 19 and 23, 2026. Of course, the majority of respondents said they wouldn’t be willing to swap their human boss for an AI people manager. But the use of AI as a supervisor is gaining in popularity, even if one isn’t directly in charge of steering entire teams of people. Companies like Workday have launched AI agents that canfile and approve expense reportson employees’ behalf. Amazon hasdeployed new AI workflowsto replace some of the responsibilities of middle management, laying offthousands of managersin the process. Engineers at Ubereven built an AI model of CEO Dara Khosrowshahito field pitches before meetings with their actual boss. Across organizations, AI is being used to replace layers of management in what some are calling “The Great Flattening.” Soon, we may start to seeentire billion-dollar companies of one, with fully automated employees andexecutives. Americans are wary about what that means for their job prospects. The majority of respondents in Quinnipiac’s survey — 70% — said they believe advances in AI will lead to a decrease in the number of job opportunities for people. Among employed Americans, 30% were either very concerned or somewhat concerned that AI would make their job specifically obsolete.
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The company plans to scale capacity from about 300 MW to 1 GW in the coming years.
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As AI coding tools generate billions of lines of code each month, a new bottleneck is emerging: ensuring that software works as intended.Qodo, a startup building AI agents for code review, testing and governance, is betting that verification will define the next phase of software development. The New York-headquartered startup has raised a $70 million Series B round led by Qumra Capital, bringing its total funding to $120 million. Maor Ventures, Phoenix Venture Partners, S Ventures, Square Peg, Susa Ventures, TLV Partners, Vine Ventures, Peter Welender (OpenAI), and Clara Shih (Meta) also joined in the round. Qodo is aiming to serve as a layer focused on improving trust in AI-generated code as enterprises accelerate adoption of tools like OpenClaw and Claude Code. Many are discovering that faster code output doesn’t necessarily translate into reliable or secure software. While most AI review tools focus on what changed, Qodo focuses on how code changes affect entire systems, factoring in organizational standards, historical context, and risk tolerance to help companies better manage AI-generated code more confidently. Itamar Friedman, who previously co-foundedVisualeadand led the machine vision business at Alibaba (which acquired Visualead), founded Qodo in 2022. He told TechCrunch that two key moments in his career — his time at Mellanox, which was later acquired by Nvidia, and building Visualead — inspired him to start Qodo, just months before the launch of ChatGPT. At Mellanox, where he worked on automating hardware verification using machine learning, he realized that “generating systems and verifying systems require very different approaches (different tools, different thinking).” Later, at Alibaba’s Damo Academy, he saw AI evolve toward systems capable of reasoning over human language. By 2021–2022, just ahead of GPT-3.5, it became clear to him that AI would generate a large share of the world’s content—especially code—reinforcing his view that code generation and verification would require fundamentally different systems. A recent survey showsthat while 95% of developers don’t fully trust AI-generated code, only 48% consistently review it before committing, highlighting a gap between awareness and practice. “Code generation companies are largely built around LLMs. But for code quality and governance, LLMs alone aren’t enough,” Friedman said. “Quality is subjective. It depends on organizational standards, past decisions, and tribal knowledge. An LLM can’t fully understand that context. It’s like taking a great engineer from one company and asking them to review code at another — they lack the internal context.” Companies such as OpenAI and Anthropic are helping shape the broader AI narrative, including in adjacent areas like code review, but they are largely focused on building features rather than end-to-end solutions, Friedman explained. Although there are other startups in the space, many remain early stage and have yet to see widespread enterprise adoption, the CEO noted. Qodo is leaning into performance to stand out in a crowded market. The startup recently ranked No. 1 onMartian’s Code Review Bench, scoring 64.3% — more than 10 points ahead of the next competitor and 25 points ahead of Claude Code Review. The benchmark highlights its ability to catch tricky logic bugs and cross-file issues without overwhelming developers with noise. In the past month, it has launched Qodo 2.0, a multi-agent code review system now leading current benchmarks, and introduced tools that learn each organization’s definition of code quality. The company is already working with major enterprises such as NVIDIA, Walmart, Red Hat, Intuit and Texas Instruments, as well as high-growth firms like Monday.com and JFrog. “Every year has had a defining moment — from Copilot to ChatGPT to full task automation,” Friedman said. “Now we’re entering a new phase: moving from stateless AI to stateful systems — from intelligence to ‘artificial wisdom.’ That’s what Qodo is built for.”
French lab Mistral AI has raised $830 million in debt to build a new data center near Paris that will be powered by Nvidia chips, according to reports fromReutersandCNBC. Mistral first announced plans to builda data center last year, when its CEO Arthur Mensch said it would explore different financing options in February 2025. It plans to complete building the data center in Bruyeres-le-Chatel and make it operational in the second quarter of 2026, Reuters reported on Monday. Mistral did not immediately return a request seeking confirmation. Last month, the company said it would invest$1.4 billion in Swedento build out AI infrastructure, including data centers. Mistral said it aims to deploy 200 megawatts of compute capacity across Europe by 2027. “Scaling our infrastructure in Europe is critical to empower our customers and to ensure AI innovation and autonomy remain at the heart of Europe. We will continue to invest in this area, given the surging and sustained demand from governments, enterprises, and research institutions seeking to build their own customized AI environment, rather than depend on third-party cloud providers,” Mensch said in a statement to CNBC. Mistral has raised over €2.8 billion ($3.1 billion) in funding to date from investors including General Catalyst, ASML, a16z, Lightspeed, and DST Global, according to data from Crunchbase.
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Fresh off a successfulSeries C fundinground in November, the South Korean fabless AI chip startup Rebellions has raised an additional $400 million. The latest funding infusion, which comes before a planned IPO later this year, was led by Mirae Asset Financial Group and the Korea National Growth Fund. It also comes at the same time that the company is engaging inan aggressive expansion effort— with recentlyannounced plansto grow its presence not only in Asia but also in the Middle East and the U.S. Founded in 2020, Rebellions develops and designs AI chips while outsourcing their fabrication. The startup’s chips are designed for inference — the compute necessary for AI models to respond to user queries. Inference has grown in importance as LLMs have matured and begun to see widespread commercial deployment. The company closed $124 million in aSeries B in 2024. Then, in November, Rebellions raised an additional $250 million during its Series C. As of today, the company’s total fundraising haul now stands at $850 million — $650 million of which was raised in the last six months. Meanwhile, the startup’s valuation sits at approximately $2.34 billion, the company said Monday. In addition to the funding round, Rebellions also announced the release of two new products: RebelRack and RebelPOD, which are described as AI infrastructure platforms. POD represents a production-ready unit of inference compute, while Rack “integrates multiple racks into a scalable cluster designed for large-scale AI deployment,” the company said. In a conversation with TechCrunch, Rebellions’ Chief Business Officer Marshall Choy — who is leading the company’s global expansion efforts — said it had recently established entities in the U.S., Japan, Saudi Arabia, and Taiwan. Choy said the company was building out its ecosystem of technology partners in the U.S., where it plans to court cloud providers, government agencies, telecom operators, and neoclouds. He declined to comment on IPO timing. “AI is now measured by its ability to operate in the real world at scale, under power constraints, and with clear economic return,” said Sunghyun Park, co-founder and CEO of Rebellions. “That shifts the center of gravity toward inference infrastructure and software that makes that infrastructure usable.” Rebellions is one of anew generation of chip startupsthat have sought to challenge Nvidia’sonce iron-clad dominancewithin the chip industry. As that dominance has begun to wane, other major tech companieslike AWS, Meta, and Google — along with the new generation of startups — have also sought to produce their own chips.
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