This Week in AI, GPU, and LLM: Who Gets to Hit the Brakes
Three labs agreed to slow down, a White House adviser called it a psyop, and a rival CEO called it a cartel. All three readings have evidence.
What we are building, and what we learned doing it
GPU benchmarks, platform updates, and technical deep-dives for AI/ML developers.
This Week in AI, GPU, and LLM: The Price of Intelligence Went Up
OpenAI raised GPT-6 Astra to $10/$50 — 2.5x. Google scheduled a doubling. This week's AI GPU LLM news: the frontier stopped getting cheaper, and why.
This Week in AI, GPU, and LLM: Compute Got More Expensive While Intelligence Got Cheaper
In seven days, NVIDIA hiked AI server prices more than 15% on a memory shortage, put a dedicated inference accelerator into full production, and watched open-weight models undercut frontier pricing 5x. Those aren't separate stories — they're one repricing of the stack, and here's what it changes for builders.
This Week in AI, GPU, and LLM: Why Compute Just Became Geopolitics
A national AI factory in Japan, a tightened Nvidia chip whitelist and China's counter-signal, Kimi K3 landing right as Gemini 3.5 Pro slips again, and a critical LiteLLM exploit still active — this week shows AI infrastructure scaling faster than the governance and security built to contain it.
This Week in AI, GPU, and LLM: The Agent Wars Go Public, and So Does the Memory Crunch
Apple sued OpenAI over stolen hardware secrets, OpenAI and Anthropic launched competing work-agent products on the same day, and SK Hynix pulled off the second-largest US stock listing ever — this week's AI, GPU, and LLM news reveals a market where the agent layer, hardware IP, and memory supply are all being fought over at once, and what builders should do about it.
This Week in AI, GPU, and LLM: Capability Gets Cheaper, Compute Gets Tighter
DeepSeek V4 cut frontier pricing by 6x, GPT-5.5 went GA as an agent runtime, NVIDIA shipped a 30B multimodal model for the edge — all while hyperscalers committed $700B in capex against a 7 GW data center shortfall. The intelligence layer and the compute layer have stopped moving together, and builders need to architect for both.
This Week in AI, GPU, and LLM: The Compute Race Has Become the Product
This week’s AI, GPU, and LLM news shows a clear market shift: frontier AI is no longer just a model race, but a full-stack infrastructure race across compute, inference efficiency, cloud lock-in, privacy, and agent reliability.
This Week in AI, GPU, and LLM: Why Deployment Just Became the Real Differentiator
Anthropic locked up its most powerful model while shipping Opus 4.7 at flat pricing. OpenAI quietly assembled its desktop super-app through a Codex update. NVIDIA extended into quantum, and GPT-6 skipped its rumored launch. Six stories, one shift — how AI reaches users is now as strategic as how good the model is.
This Week in AI, GPU, and LLM: Why Open Models Just Made Closed APIs Nervous
Meta closed its open-weight chapter with Muse Spark. Microsoft ended two years of agentic experimentation. NVIDIA named the next hardware battleground. AMD made CPU inference serious. All in seven days — here's what it means for what you build next.