The Archive

Reddit user reports Claude Sonnet 4.6 output fragment mentioning 'human bunny' during NLP sentiment analysis coding session.

You can now disco ball-ify your entire Pixel homescreen, says Google.

From their Project Glasswing initiative launched last month. Curious how many are genuine vs. noise from automated scanning.

Some AI startups are stretching traditional revenue metrics when talking about progress publicly. And their investors are fully aware.

Community discussion on COLM 2026 review quality and concerns about AI-generated peer reviews.

Developer fine-tuned Cohere Transcribe to add diarization and timestamp support, extending open-source speech-to-text capabilities.

User configures dual AMD RDNA GPUs (48GB VRAM) with llama-cpp via Vulkan for local inference.

Reddit user reports lack of in-session search/navigation in Claude, forcing manual scrolling or context loss in long conversations.

Get Shit Done NPM tool creator executed rug pull on $GSD token; community forked to get-shit-done-redux; immediate uninstall of original packages required.

Workaround flouts law that bans NTSB disclosures of cockpit audio recordings.

Anthropic co-founder Jack Clark predicts AI-driven Nobel Prize discovery within 1 year, functional bipedal robots in 2 years, and RSI by end of 2028.

Anthropic shares initial findings from Project Glasswing, an internal research initiative on AI safety or capability insights.

Recap of Google I/O 2026 Dialogues stage covering AI, quantum computing, robotics, and creativity topics.

SkillOpt applies gradient-based optimization to agent skill text as frozen external state, enabling systematic skill improvement under feedback.

Shannon Scaling Law models LLM training as noisy-channel information transmission, explaining non-monotonic phenomena like catastrophic overtraining.

Comprehensive study of model-generated agent skills lifecycle: extraction, consumption, adaptation across experience generation and domain-level reuse.

SpaceNum benchmark tests whether VLMs genuinely ground numerical outputs in spatial perception via dynamic and static reasoning tasks.

ETCHR decouples image editing from understanding in MLLMs to improve visual reasoning without predefined toolkits or noisy generation.

Complete-muE enables hyperparameter transfer between dense FFN and MoE architectures via normalized router scaling and active-width μP bridges.

Token selection strategy reduces quadratic attention cost in visual geometry transformers for 3D reconstruction by restricting key/value interactions.

Developer built text-to-speech mobile app using Claude Code, supporting PDFs, web articles, and image text with privacy-first design.

CHRONOS three-layer architecture handles temporal decay, dynamic Shapley pricing, and shared differential-privacy budgets in evolving knowledge-graph marketplaces.

Lexical intervention technique improves cross-lingual knowledge transfer for low-resource languages without parallel data or auxiliary models.

PGT generates procedural geometric tasks to improve MLLM fine-grained visual grounding and diagnose perception failure sources.

Perturbation theory for spherical Hellinger-Kantorovich gradient flows with dimension-free stability bounds.

BeeLlama v0.2.0 achieves 4-5x token throughput gains on RTX 3090 via DFlash optimizations for Qwen 27B and Gemma 31B models.

Inference-time layer looping retrofit for frozen transformers improves efficiency without retraining or architecture changes.

Two persona prompts, identical content, same model (gpt-5.2). Only difference is formatting: one prose, one bullet points. In a 10-round Prisoner’s Dilemma the prose version cooperated \~96% of the time, the bullet version \~20%. A 76pp gap, p < 0.001. Same meaning, opposite behavior. Authors call it the butterfly effect in LLM simulations. The part that matters here: CLAUDE.md, system prompts, and memory are mostly declared self-description. If formatting alone moves behavior this much, two people with the same intent get different Claudes based on how they happened to write it up. Any...

Hamiltonian gradient flow interpretation of Muon optimizer via regularized orthogonalization and Fenchel duality.