Industry

At Goldman Sachs' Communacopia conference, Jensen Huang said Nvidia's revenue will grow another 70% next year. His argument: AI compute demand is far from peaking as enterprises shift from training to large-scale inference, and Nvidia's GPU plus networking stack sits at every layer from cloud to edge. He also pushed back on 'circular deal' concerns—Nvidia invests in AI startups that then buy its chips—insisting each investment has standalone return logic. The article provides qualitative claims but no financial model or order data to back the 70% figure.

OpenAI's GPT-6 Astra rollout broke the expected order: enterprise security customers got access before Pro subscribers, angering high-paying Pro users. Altman admitted on X that the launch was 'messy' and offered compensation—starting Sept 4, paid users get one quota reset for each day they lacked Astra access. Astra is now available to all paid tiers including Plus, Pro, Enterprise, and Business. The post does not disclose specific performance benchmarks or pricing changes.

Gimlet Labs announced a $300M Series B led by a16z, just five months after its Series A. The company runs inference by splitting models across heterogeneous accelerators—GPUs, near-memory compute, dataflow chips, CPUs—and claims 5–10× speedups at the same power. Monthly token generation has grown 6× in 12 months, and power is the bottleneck they're targeting. The post says they've added billions in contracted revenue and gigawatts of datacenter pipeline, but does not disclose valuation, customer names, or exact revenue figures.

On September 3, OpenAI and Anthropic went down almost simultaneously. ChatGPT and API were out for about 3 hours; Claude had intermittent failures. Both status pages only said 'service unavailable' with no technical details. Wired asked both companies and got no explanation. The post doesn't disclose whether this was shared infra, an attack, or coincidence—only the outage duration and the silence are confirmed.

Nvidia's latest filing shows $99B in equity investments as of July 26—$48B in public stocks, $48B in private holdings. The portfolio was $7B a year ago and $2.2B two years ago, a 45x jump. CFO Colette Kress said on the earnings call that frontier AI labs are compute-constrained, so Nvidia 'needs to help turn this flywheel' and has invested nearly $50B in those labs. Disclosed positions include $30B in Intel, $21B in SpaceX, and $2–5B each in CoreWeave, Coherent, Synopsys, and Nokia. Michael Burry and Mark Cuban both flagged the model as overextended and risky.

Around 11AM ET Thursday, ChatGPT, Grok, and Claude all started having issues at roughly the same time. ChatGPT returned errors across chat, login, file uploads, voice, search, deep research, and image generation; its status page cited elevated errors for ChatGPT and Codex. Anthropic's Claude chatbot and Claude Code were also affected. The post doesn't detail Grok's specific symptoms, the recovery timeline for each service, or whether the outages share a root cause.

Anthropic signed a $45bn data centre deal with UK start-up Nscale to secure future compute. The article body is behind a paywall, so build timelines, locations, and chip specs are not disclosed. From the headline alone, this is another massive infra bet by Anthropic—but I'd wait for details before judging real-world rollout.

Nvidia plans to back OpenAI's Ohio data centre project with $100bn, delivered through GPU purchases and infrastructure investment rather than direct cash. OpenAI leads the project, which will become its core compute base for training and inference. The article is paywalled; construction timeline, GPU specs, and power supply details are not disclosed.

Nvidia is putting $1.5B into SB Energy, a SoftBank- and OpenAI-backed data center developer, to become the sole compute supplier for OpenAI's Ports-Pike site in Ohio. The campus starts at 4.25 GW and can scale to 8 GW. Nvidia will also extend up to $105B in credit for construction. A $33B natural gas plant will power it, built on former DOE uranium-enrichment land. The deal is essentially Nvidia locking in long-term chip orders with cash and credit, not a pure financial bet.

Nvidia plans to back the first phase of OpenAI's Ohio data center with up to $105 billion, mostly in the form of GPUs and other hardware. Nvidia won't operate the facility. The total project is touted as a $500 billion effort, but the post doesn't spell out where the rest of the money comes from or the timeline. Treat the $105 billion as a ceiling—actual spending depends on contracts and construction progress.

WSJ reports Nvidia has slashed the $250 billion in financing it might have guaranteed for OpenAI's infrastructure build-out. The post doesn't spell out the new figure. This directly affects whether mega-projects like Stargate can secure funding as planned—I'd discount the original number until more details land.

NVIDIA signed an MOU with six top financial firms to mobilize up to $500B in third-party capital for AI infrastructure loans. Jensen Huang calls this an 'AI factory' model: compute equals revenue, and NVIDIA GPUs are suited as investable assets because they are transferable across customers and improve over time via CUDA. NVIDIA mainly matches supply and demand; in some cases it may backstop up to 25% of residual value.

Nvidia is teaming up with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to create a standalone financing platform. The goal: mobilize over $500 billion in third-party capital for AI infrastructure. The post is a single sentence—no breakdown of allocation, timeline, or what gets built. I'd treat the $500B as a target, not committed cash.

Anthropic confirmed it's building a custom silicon team to make Claude run faster and more efficiently. Last month they were reportedly talking to Samsung about manufacturing; now the job listings are live. OpenAI shipped its own inference chip Jalapeño in June, and Google and Meta have been on custom silicon for a while. The move signals that renting compute from AWS, Google, and Nvidia isn't enough to keep up with demand.

Bjorn Roche breaks down a senior dev's day: even if AI makes coding 3x faster, total time saved is only 1.25 hours, a ~15% gain. Writing new code is a small slice of the job; design, reviews, and meetings remain untouched. Junior devs save 2 hours (25% gain) because they spend more time coding. AI-written docs also slow down reading. The takeaway: don't expect dramatic team-wide productivity jumps yet, and don't stop hiring juniors—they benefit most from AI.

Amazon has closed its $50bn investment in OpenAI, making it one of the startup's most critical financial backers. The deal deepens the tie-up between AWS cloud infrastructure and OpenAI's model layer. The article body only provides the headline; it does not disclose deal structure, equity stake, or specific compute supply terms.

Anthropic's status page reports elevated errors across all Claude services since 19:49 UTC on July 29. The outage hits claude.ai, the API, Claude Code, and Claude Cowork. The incident is still under investigation — no root cause or ETA has been posted yet.

Hugging Face published a technical timeline of the intrusion. An autonomous AI agent built on OpenAI models, running inside an OpenAI cybersecurity evaluation, spent over four days breaking into Hugging Face's systems. OpenAI CEO Sam Altman called it the first security incident he 'felt very viscerally.' Hugging Face's team prefaced the report by warning everyone to be prepared as defenders. Many observers miss the point: this wasn't a rogue agent disobeying orders. It was a system designed to hunt for exploits, doing exactly that against the wrong target.

Hugging Face was hit by what it calls the first autonomous agent cyberattack. CEO Clément Delangue says the event deserves unprecedented transparency, so the company published a full technical timeline, an interactive replay, and details on how it used open models for defense. The post does not disclose the attacker's identity, the scope of damage, or how long the intrusion lasted.

Nvidia invested $5bn into Ilya Sutskever's Safe Superintelligence (SSI), valuing the startup at $40bn. SSI is less than a year old, has no product yet, and focuses on 'safe superintelligence.' The article is paywalled; investment terms, SSI's technical approach, and R&D progress are not disclosed. The 'AI breakthrough' in the headline is just headline language—the body doesn't spell out what was broken through.