Refusal Steering Targets Individual Experts in MoE LLMs
Two papers show MoE refusal behavior concentrates in a handful of routing-controllable experts, letting anyone suppress safety scores by 41 points without retraining.
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Two papers show MoE refusal behavior concentrates in a handful of routing-controllable experts, letting anyone suppress safety scores by 41 points without retraining.

A Tesla V100 can still run compatible CUDA workloads, but its value as a local LLM purchase depends on a specific workload, a compatible software build and safe physical integration.
Vercel's CLI now ships commands tuned for LLM callers, not human operators. The shift reveals how infrastructure tooling priorities invert when the primary caller is an agent.
The 2026 npm supply-chain wave explicitly targeted AI coding assistants as privileged identities. Lockfiles and ignore-scripts stopped what SLSA provenance and OIDC could not.
OpenAI's ChatGPT Lockdown Mode disables web browsing, images, and Deep Research, conceding that model-level defenses against prompt injection have plateaued as of early 2026.
A study of 2,214 MCP servers finds 9.93% of tool descriptions diverge from the code, creating a confused-deputy risk for agent runtimes that select tools by description alone.
Prompt injection planted in one agent session resurfaces in later ones through persistent memory and tool state, bypassing input sanitization that only validates external.
MiniMax M3 bundles 1M context, multimodality, and frontier coding in one open-weight model at a tenth of Claude Opus 4.8. Open weights and license terms remain unconfirmed.
The Phantom Transfer attack plants password-triggered backdoors into LLMs and survives all 11 tested data-level defenses, including full paraphrasing of every training sample.
Codex CLI reaches 0.142.2 with a Claude Code /import path as OpenAI's free-months promo targets Claude Code teams, but Anthropic paused its June 15 billing change.
Morningstar's DCF pegs SpaceX at $780 billion, $970 billion below the IPO target, revealing how insider-priced private marks diverge from independent valuation.
Secluso is a GPLv3 camera system that encrypts footage on a Raspberry Pi so the relay server cannot read it. Key management, hosting, and hardware limits fall to the operator.
JetBrains ships Codex natively in its IDEs alongside Claude, Gemini, and local models, making the editor a model-agnostic AI procurement surface for IDE-standardized teams.
The ASR metric behind every jailbreak leaderboard collapses distinct safety failures into one number, so models with the same score can fail in completely different ways.
Transformers.js v4 ships a C++ WebGPU runtime with 4x BERT speedups, letting teams move small classification and embedding jobs from server GPUs to the browser.

z386 is an 80386 FPGA core driven by Intel's original microcode ROM, recovered from die photographs. It runs Doom at 16.5 FPS, but the microcode's IP status is unresolved.
The Wikimedia Foundation fired union-organizing staff and dissolved the team that let editors direct product priorities. A veteran Wikipedian calls it Big Tech union busting.

Multi-agent LLM systems that broadcast every message to every peer waste tokens and lose accuracy. Agent-Radar steers attention by relevance for 7.64-point gains.
A 43-model audit finds that geographic and role framing in LLM prompts systematically shifts which scholars get recommended as experts, with no neutral default.
DataClawBench finds eight frontier AI agents reliably fail at exploratory financial analysis across 492 tasks, breaking at hypothesis generation rather than query execution.
An ICML 2026 paper shows RLHF can amplify the biases it was built to suppress, because preference data is self-referential and output-level safety evals miss the drift.
Frontier agents now solve most medium CTF challenges; BSidesSF 2026 had 16 full-solve teams, up from one, and the format has lost its calibration as a talent signal.
Two papers show LLM safety alignment can be bypassed by embedding perturbations, a surface neither standard evaluations nor regulatory certifications inspect.

Opus 4.8 has a 1M token context window (200k on Foundry), 128k standard output, and 300k output via Batch API beta. January 2026 cutoff. Batch design and quota allocation.