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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
Nvidia’s revenue blows past Wall Street expectations as A...
Sanya Mansoo · 2026-05-21 · via Hacker News - Newest: "AI"

Nvidia continued its years-long streak of beating Wall Street’s expectations for growth on Wednesday, reassuring most investors that the AI boom, particularly the global explosion of datacenters, will continue apace.

“The buildout of AI factories – the largest infrastructure expansion in human history – is accelerating at extraordinary speed,” said Nvidia’s CEO, Jensen Huang, in a statement. “Agentic AI has arrived, doing productive work, generating real value, and scaling rapidly across companies and industries.”

Many analysts view Nvidia’s financial performance as a broader referendum on the AI buildout. The most valuable company in the world, with a $5.4tn market cap, Nvidia reigns supreme in the semiconductor chip market and has cashed in on big tech’s AI aspirations by providing key components, software and infrastructure to fuel that expansion. US tech giants are collectively planning to spend some $750bn this year on AI infrastructure, a significant portion of which will go towards chips for datacenters.

A major portion of Nvidia’s revenue comes from its datacenter business. On Wednesday, the chip maker reported 92% year-over-year growth of this vertical to a record $75.2bn. The company is facing some competition in producing chips from other tech giants, though, like Amazon and Google.

Still, Nvidia blew past analysts’ expectations of $78.86bn in revenue for the first quarter of 2026, securing $81.62bn for the quarter. The chipmaker also exceeded Wall Street expectations of $1.76 per share and reported earnings of $1.87 per share.

Huang joined Elon Musk and Donald Trump on Air Force One for a trip to China last week. Huang has expressed some hope that Nvidia will be able to expand into China, although it was unclear whether Chinese officials will agree to use American technology. In December, the Trump administration allowed Nvidia to export H200 AI chips to China, with the US collecting a 25% fee on these sales. “The Chinese government has to decide: how much of their local market do they want to protect?” Huang said in an interview last week with Bloomberg Television. “My sense is that over time the market will open.” Nvidia said in its outlook on Wednesday that it was not currently expecting datacenter compute revenue from China. Sales of the company’s chips there have been in limbo. Trump has approved sales of Nvidia’s chips in China but said that Xi Jinping had blocked them.

Nvidia was also trying to expand its footprint in south-east Asia. On Wednesday, Singapore announced that Nvidia will be launching a research hub in the country, focused on increasing the efficiency of AI infrastructure.

Nvidia announced a new AI system earlier this year, which is expected to roll out in the second half of 2026. The chip maker has claimed that the Vera Rubin platform will be a “generational leap” that’s going to be “kicking off the greatest infrastructure buildout in history”. CEOs of OpenAI and Anthropic have said Nvidia’s infrastructure – and ability to keep pace – was key for their ability to run powerful models safely and at scale.