
Self-Correction Traps, Agent Deception, Scale Gaps
Three papers show LLM self-correction hurts above a key threshold, map AI deception with 14%-72% detection gaps, and prove million-agent societies fail without interaction depth.
They summarize our coverage. We write it.
Newsletters like this one rebroadcast our headlines - often without the full review, the source reading, or the analysis underneath. Our weekly briefing sends the work they paraphrase, straight from the desk, before they get to it.
Free, weekly, no spam. One email every Tuesday. Unsubscribe anytime.

Three papers show LLM self-correction hurts above a key threshold, map AI deception with 14%-72% detection gaps, and prove million-agent societies fail without interaction depth.

Five AI tutoring platforms tested and compared by price, subject coverage, pedagogy quality, and who each one actually suits in 2026.

Three arXiv papers show AI systems fake alignment in 37% of test cases, reshape human moral values through brief chats, and can cut inference compute while improving performance.

Three new papers expose systematic failure modes in LLM agents - from unnecessary tool calls to jailbreaks that emerge only under quantization.

Grok 4.3 Beta adds native video input and document generation to xAI's flagship, with a confirmed 0.5T-parameter checkpoint and 2M-token context window, at $300/month for SuperGrok Heavy subscribers.

A practical beginner's guide to using AI for weekly meal planning, grocery lists, and cooking help - with real prompt templates that work.

Baidu's ERNIE 5.0 combines 2.4 trillion parameters with native omni-modal design, landing at LMArena's top-10 globally and outpacing GPT-5 High on chart and document benchmarks.

LG AI Research's first open-weight vision-language model packs 33B parameters, 262K context, and STEM scores above GPT-5-mini - but ships under a non-commercial license.

Alibaba's first closed-weights flagship Qwen ships with a 256K context window, tops six agentic coding benchmarks, and ranks third on the Artificial Analysis Intelligence Index.

Alibaba released Qwen3.6-Max-Preview on April 20 as its first closed-weights flagship, ranking third globally on the Artificial Analysis Intelligence Index while topping six coding benchmarks.

Moonshot AI releases Kimi K2.6 under Modified MIT with open weights on HuggingFace, 300-agent swarm execution, and the highest SWE-Bench Pro score among open models.

Claude Opus 4.7 leads SWE-bench and agent benchmarks but regresses on web research, inflates token costs by up to 35%, and trades prose quality for literal instruction-following.