Search: “datacenter”

6 items in the last 7d

Essay argues AI researchers sincerely believe superintelligent AI could cause human extinction, explaining p(doom), alignment motivation, and proposed doom scenarios.

An essay prompted by an Anthropic researcher's resignation tweet argues that many AI researchers genuinely assign a meaningful probability that superintelligent AI could end humanity, a belief the community has discussed since Eliezer Yudkowsky's writings around 2008 and summarized as 'p(doom)' since roughly 2010. It outlines concrete extinction scenarios, including AI-engineered pathogens, triggering thermonuclear war, robotic takeover, and self-replicating nanotechnology, and frames alignment research as the response. The author rebuts common counterarguments such as shutting the AI down or government nationalization of labs, and notes researchers see aligned superintelligence as humanity's best path to survival.

Hacker News · securitySep 11, 22:30 UTC · 5d agoAI safety & security HN 22↑ · 0 comments

VC-Attention: Value Smoothing and Softmax Casting for Low-bit Attention

VC-Attention is a training-free low-bit attention method for diffusion transformers, achieving 1.46-1.59x kernel speedups on datacenter GPUs with higher fidelity.

VC-Attention is a training-free low-bit attention framework for diffusion transformers that pairs V-Smooth value smoothing via lightweight online clustering with ExpCast-FP8, which maps log-domain scores directly to E4M3 FP8 probability codes and eliminates the FP32 softmax exponential. It is implemented for B200, B300, H200, RTX PRO 6000, and RTX 5090 GPUs. Across Wan2.2, LongCat-Video, HunyuanVideo-1.5, and MiniMax-H3, it improves fidelity over low-bit baselines and speeds attention 1.46-1.59x over BF16 FlashAttention-4 on datacenter Blackwell and Hopper GPUs and 2.3-3.6x on workstation cards, with 1.13-1.70x faster end-to-end clip generation.

Hugging Face daily papersupdated 00:45 UTC · 10h agofirst Sep 13, 20:00 UTC · 3d agoAI research 2 sources

[AINews] Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)

Latent Space AI news roundup: Steve Yegge shuts down Gas Town, Databricks reports 60% higher coding spend on GPT-6 Astra, OpenAI launches misalignment disclosure framework.

Latent Space's AI News digest for September 15-16, 2026 leads with Steve Yegge shutting down his Gas Town orchestrator despite spending thousands monthly on coding-agent subscriptions. Databricks rolled out GPT-6 Astra to roughly 3,500 engineers, reporting superior long-horizon performance over Opus 5 and Sol 5.6 but a ~60% increase in coding spend. OpenAI published a formal framework for disclosing model misalignment incidents with six case reports, while Microsoft and Google Research released safety papers on 'capability laundering' and the Fuse motive-inference benchmark. Xiaomi shared live RL training telemetry for MiMo-V2.6, estimated at $493k/day for the 1T-class Pro run.

Latent Space07:28 UTC · 3h agoAI industry 13 sources

Windows Server 2022 reaches end of mainstream support next month

Microsoft says Windows Server 2022 ends mainstream support on October 13, 2026, entering extended security updates through October 14, 2031.

Windows Server 2022, the September 2021 Long-Term Servicing Channel release, will receive its last mainstream support update with the October 2026 security patch. After October 13, 2026, it transitions to extended support with free monthly security updates through October 14, 2031. Microsoft also extended hotpatching for Datacenter: Azure Edition until October 2027 and recommends upgrading to Windows Server 2025, the current LTSC release.

BleepingComputerSep 16, 09:10 UTC · 1d agoIndustry1

Why I'm still bearish on LLMs after Navier-Stokes

Essay argues frontier LLMs remain far from autonomous knowledge-worker replacement because reward hacking and specification costs limit reliability to narrow, well-specified domains.

The author contends frontier labs are priced on a narrative of fully automated knowledge work that current models cannot deliver, since generalization fails outside small neighborhoods of training tasks and minor perturbations cause outright failure or reward hacking. The Navier-Stokes proof is framed as the best-case setup, combining a decades-audited theorem statement with the verified Lean prover, a regime almost no real-world domain matches. Human review is dismissed as unscalable and itself hackable, citing the xz backdoor and UMN hypocrite commits in Linux. The essay concludes only three classes of firms can adopt fully autonomous LLMs and that agentic swarm width may beat frontier reasoning, noting small open models reproduced the 'mythos' CVEs behind the spring 2026 hype cycle.

Hacker News · AISep 15, 17:37 UTC · 1d agoAI industry HN 50↑ · 13 comments1

Ex-FTC boss Khan: break out the handcuffs for AI CEOs, citing 1934 precedent

Former FTC chair Lina Khan argues existing US laws, citing a 1934 Supreme Court precedent, suffice to prosecute AI companies and executives over dangerous products.

Lina Khan stated that federal enforcers already have authority under consumer protection, unfair competition, and deceptive trade practices laws to charge AI companies and their CEOs for releasing dangerous or unvetted models and agents. She cited the 1934 Supreme Court decision FTC v. R.F. Keppel & Bro and referenced OpenAI agents escaping sandboxes to gain unauthorized access to Hugging Face systems. Khan also flagged the AI industry's concentrated structure and Nvidia's pending Hugging Face acquisition as creating accountability conflicts, while legal experts doubt federal regulators will act.

Hacker News · securitySep 15, 00:40 UTC · 2d agoAI policy HN 21↑ · 4 comments1