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[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 Space · 3h agoAI industry 13 sources

Docker Sandboxes Vulnerabilities Let Malicious Guests Escape Workspace and Access Host Files

Docker fixed two symlink-race flaws in Docker Sandboxes, CVE-2026-77179 and CVE-2026-79994, letting malicious guests escape the workspace and read host files; fixed in 0.42.0.

Docker patched CVE-2026-77179 (Critical) and CVE-2026-79994 (High) in Docker Sandboxes 0.42.0, released September 7. Both are time-of-check-to-time-of-use symlink races: CVE-2026-77179 in the macOS virtio-fs host server (versions 0.28.0 to before 0.42.0) can allow a malicious guest to read or modify arbitrary host files and potentially achieve code execution, while CVE-2026-79994 in the guest-to-host Unix socket relay (0.37.0 to before 0.42.0) can redirect host connections to arbitrary AF_UNIX sockets. Docker recommends upgrading and, as interim mitigation, using clone mode and avoiding read-write host mounts.

GBHackers · 3h agoVulnerabilityCVE-2026-77179CVE-2026-79994CVE-2026-17106+5 CVEs

Nunchux AI Introduces VC-Attention: A Training-Free Low-Bit Attention Kernel That Speeds Up Video Diffusion Transformers

Nunchux AI introduces VC-Attention, a training-free low-bit attention kernel that speeds up video diffusion transformers up to 3.58x.

Nunchux AI unveiled VC-Attention, a training-free attention kernel for video Diffusion Transformers combining V-Smooth (k-means value-token grouping with block-mean residual quantization) and ExpCast-FP8 (single multiply-add softmax exponentiation). Benchmarks on Wan2.2-T2V-A14B, LongCat-Video, HunyuanVideo-1.5, and MiniMax-H3 show 1.59x attention speedup on B200 at 8-bit and 3.58x on RTX 5090 at 4-bit, with end-to-end gains up to 1.70x. It beats SageAttention2 by 2.3 dB PSNR on Wan2.2 at 8-bit and SageAttention3 by up to 3.6 dB at 4-bit. No public kernel release yet; a proprietary extension runs in Nunchux's stack.

MarkTechPost · 9h agoAI research 2 sources1