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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
India’s AI deal with the UAE challenges U.S. cloud dominance
Indranil Ghosh · 2026-06-15 · via Hacker News - Newest: "AI"

India is partnering with the United Arab Emirates to ease the grip of Amazon, Microsoft, and Google on artificial intelligence computing.

G42, backed by Abu Dhabi sovereign wealth fund Mubadala, signed an agreement on May 15 to deploy an AI supercomputer in India, comprising 64 systems made by U.S. chipmaker Cerebras. A G42 unit will handle installation, operations, and maintenance, with Cerebras providing technical support, G42 said in response to questions from Rest of World.

Any government that wants to use AI today typically rents computing power from Amazon, Microsoft, or Google. India already has at least $45 billion in commitments from the three companies. The country’s $1.25 billion national AI program runs entirely on Nvidia processors, with 34,000 available to researchers and businesses, and a target of 100,000 by the year’s end.

The G42 deal adds a second path, where India will have machines on its own soil, under its own rules, run by a non-U.S. partner.

This is an example of India’s pragmatic approach to AI sovereignty, using the power of its scale.”Cameron Kerry, former acting secretary at the U.S. Department of Commerce

“This is an example of India’s pragmatic approach to AI sovereignty, using the power of its scale to adapt what’s available from other countries, whether AI leaders like China and the U.S. or others, to adapt to its own needs,” Cameron Kerry, former acting secretary at the U.S. Department of Commerce, told Rest of World.

Kerry, now a fellow at the Brookings Institution, co-authored a report in February, arguing that no country has full control over every element of AI and that governments must assemble capabilities from multiple partners.

G42 has been working on what it calls the Intelligence Grid, a global network of AI facilities that it builds, owns, and operates for governments. India is the first country to sign up. Discussions are on with other governments, G42 said, without naming the countries.

India’s autonomous scientific society, the Centre for Development of Advanced Computing, will work with G42’s Core42 unit, with all data remaining under Indian governance rules. G42 declined to disclose the financial terms of the India deal or confirm who will own the hardware after installation.

India already has substantial AI infrastructure commitments from U.S. companies: Microsoft plans to invest $17.5 billion over four years, Google has pledged $15 billion, and Amazon Web Services has earmarked $12.7 billion, all built around Nvidia processors and the companies’ own cloud platforms. 

G42 faces a steep challenge entering India, Chris Miller, professor at the Fletcher School at Tufts University and an expert on global semiconductor competition, told Rest of World. Amazon, Microsoft, and Google offer integrated packages of hardware, software, developer tools, and customer support that any newcomer has to match.

“A key question will be whether they can offer competitive software and other services to their data-center customers,” Miller said.

Cerebras chips

Cerebras, founded in 2016, makes AI chips and the supercomputer systems they power. Its AI chip is the largest in the world — a single piece of silicon the size of a dinner plate that accomplishes what Nvidia needs thousands of smaller processors wired together to do. 

The choice of Cerebras appears driven by practical considerations, Kerry said.

Nvidia’s most advanced processors are designed for training large AI models from scratch. Cerebras is built for speed in running AI applications, which matches India’s focus on deploying AI across healthcare, agriculture, and public services.

G42 became Cerebras’s largest customer in 2021, and from 2023, the two companies built three supercomputer facilities in California, Texas, and Minnesota, called Condor Galaxy. The Condor Galaxy partnership gave G42 hands-on experience in deploying and maintaining Cerebras hardware across multiple locations and regulatory environments, G42 said.

Cerebras counts G42 and the UAE’s Mohamed bin Zayed University of Artificial Intelligence as its two largest customers. It went public on the Nasdaq on May 14 and raised $5.55 billion in the biggest U.S. tech stock offering since Uber in 2019. Together, the two UAE buyers accounted for 86% of Cerebras’ 2025 revenue, according to its SEC filing.

At home in the UAE, G42 works with the same U.S. companies to which it offers an alternative abroad. Amazon operates a full cloud region in the UAE, and Microsoft has committed $15.2 billion to UAE data center expansion through 2029, working through G42’s subsidiary Khazna.

The deal may give India less control than it appears, Kerry said. India’s laws allow personal data to be sent to most countries and restrict transfers to a short list of blacklisted nations, according to the Digital Personal Data Protection Act, 2023. Whether India’s government has imposed stricter rules for this specific deal is unknown, and G42 declined to share those details.

As more governments seek to own their AI machines rather than rent them, Amazon, Microsoft, and Google will need to find ways to serve those customers or risk losing them to partners like G42, said Kerry. “The better they respond, the better for the U.S. position in the world regardless of what the U.S. government does,” he said.

Additional reporting by Divsha Bhat in Dubai.