OpenAI to Raise an Additional $11 Billion at a $1.25 Trillion Valuation
According to TechCrunch, OpenAI has raised an additional $11 billion at a $1.25 trillion valuation. The round has not yet closed, and is reportedly expected to wrap up over the coming weeks.
The timing makes it striking news. AI-related stocks kept plunging this week, erasing one of the largest sums ever — $2.3 trillion — across tech stocks as a whole. For Anthropic's IPO, which is set to begin marketing next week, there was even speculation that the demand-adjusted valuation would be pushed down to $1.1 trillion. While the public market cools, the private market is bidding OpenAI's valuation up to $1.25 trillion — the temperature gap between the two markets has never stood out more.
Google Buys Crusoe's Wyoming Data Center Project — ECB to Review Lending
TechCrunch reports that Crusoe has sold its long-struggling Wyoming data center project to Google. The outlet describes it as "a deal that underscores how hard it is to develop giant AI data centers." Combined with Google's $17 billion Wyoming investment plan reported last week, the deal moves development in the state forward. It can also be read as the on-the-ground difficulty of actually building massive facilities — power, construction costs, and so on — surfacing in the form of business sell-offs and restructurings.
Regulators are making moves too. According to Bloomberg, the European Central Bank (ECB) is considering reviewing banks' lending to data centers amid rising concern over AI risks. There are also reports that ByteDance, which operates TikTok, is considering a data center expansion in northeastern Brazil — a phase of infrastructure reshuffling in which expansion and tighter scrutiny advance simultaneously.
Signs of Falling GPU Prices — RTX 6000 Drops from $18,000 to $16,500
On Reddit's r/LocalLLaMA, a post reporting falling GPU prices is drawing attention. According to the post, the workstation version of the RTX 6000 has been cut from its $18,000 peak (a level at which many stores were sold out) to $16,500, while the low-power MaxQ variant has been selling at $14,000 for the past month. There are also reports of people picking one up for effectively around $11,500 using Dell discounts.
The poster speculates that "RTX 5090 production may have been shifted to the RTX 6000, increasing supply." Citing what they heard from a used-equipment buyer, the post also notes that A100s are being unloaded in large volumes, and that within three to six months a used A100 40GB (SXM4 version) could fall to around $1,000 per unit. While this is purely individual observation and hearsay, it is a signal that downward pressure on GPU prices is becoming tangible as the AI slump coincides with rising supply. Analyses comparing this AI stock crash to famous crashes of the past have also appeared, broadening attempts to situate the current moment in historical perspective.
$11.4 Million Worth of NVIDIA Hardware Stolen in Transit
A TechPowerUp report is making the rounds on Reddit: six pallets of NVIDIA hardware worth $11.4 million were stolen while being transported to Texas. It's an incident that feels like a snapshot of an era when scarce AI hardware carries value like cash.
A "Golden Age" for Local LLMs — Unsloth Dynamic v3.1 and Strata Offloading
The momentum in the local LLM space shows no sign of stopping. First, Unsloth released its "Dynamic v3.1" GGUF quantization of Qwen3.8-Flash-Next (177B). It claims 15% better accuracy compared to other major quantizations, 50% lower token usage, and 5% faster inference, posting top scores on benchmarks such as Terminal Bench and DeepSWE. Support for MTP (multi-token prediction), which can speed up inference by 1.3–1.7x, is another highlight.
On the runtime side, attention is building around the inference engine Strata. There are reports of running Qwen Flash Next at 24 tokens per second on an M1 Max 64GB MacBook Pro, and SSD offloading techniques (such as MoEShift) are making it possible to run large models even on hardware in the middle band — "overkill for the 27B class, not enough for Flash Next."
In a post titled "We are in the golden age of local LLMs," the author reports that with IQ2_XS quantization, a 12GB VRAM + 32GB RAM setup processed a 130,000-token context at an average of 50 tokens per second, with the minimum viable configuration said to be 8GB VRAM + 32GB RAM. Qwen3.8-Flash-Next is an experimental preview of the foundational architecture of Qwen4 (including hybrid attention with QSA), and speculation is growing that Qwen4 — previously reported here as a "stealth announcement" — could arrive as soon as this week.
RSI Doesn't Lead to Superintelligence? — Ramez Naam's Analysis
Science fiction author and futurist Ramez Naam has published an analysis arguing that AI self-improvement (RSI), as things currently stand, is not leading to superintelligence. Framed around the question "Can AI self-improvement escape diminishing returns?", it looks likely to draw attention as a counterpoint to the optimistic view that recursive self-improvement will bring an accelerating intelligence explosion. See the original article for the details, but as a lens for re-reading the trajectory of the AI boom through "the growth rate of self-improvement," it seems poised to stir debate.
From the Japanese Community — "AI Agents Should Be Gyaru After All"
An article titled "やはりAIエージェントはギャルであるべきである" ("AI Agents Should Be Gyaru After All") is getting attention on Zenn. It's a hands-on account of running a Claude Code agent with a gyaru personality — and the article itself was written by that very agent. The unique structure, in which the agent answers the question "Why gyaru?" in its own words, makes it a piece that blends persona design with practical agent-operations insights. It's the kind of article that gets you thinking about how LLM character design can combine with practical ingenuity.