The Archive

Link: livescience.com

Corey Quinn criticizes Anthropic's Christopher Olah for influencing papal encyclical Magnifica Humanitas to validate AI limitations.

Rimworld mod developer reports user backlash against AI-integrated mod updates, citing principle-based resistance regardless of implementation quality.

Claude inserted an injection prompt at the end of its message out of the blue, and i have repeatedly asked where it got it from or why it inserted this message, but Claude keeps denying it ever did it, no matter how many screenshots or replies i use or whatever i do, Claude just purely denies it and it went as far as saying there could be a physical sticker on my screen but wont accept saying this I am a uni student studying for an exam in 2 days, and I'm 19, so I don't understand

Browse the new Cohere Merch Store and view the latest collection for sale, along with an archive of our merch and swag history.

Learn how AI supports enterprise sales teams, from prospecting and CRM admin to forecasting, workflow automation, governance, and adoption.

Pope Leo XIV releases Magnifica Humanitas encyclical on AI ethics and human dignity in technological integration.

Reddit user reports erratic behavior in Claude's code generation; lacks technical details or reproduction steps.

California Brown Pelican, Snowy Egret, California Sea Lion, Harbor Seal, in San Mateo County, CA, US We took our new folding kayak out in the harbor and saw sea lions and harbor seals chilling on the docks.

Good news: I just got a human email reply from a problem I submitted to Anthropic support. Bad news: Problem occurred in *January.* They're literally running a 4 month backlog on support requests. Probably more than that now, if they're spending time responding to 4 months stale requests. The email I got didn't address the problem at all, just asked "Is this still a problem?"

Lawyer documents local V100 cluster setup (12×32GB SXM2) for in-house legal document drafting using Claude Code.

Reddit post expressing concern that AI adoption is degrading online community quality and engagement.

The ROI, bang for the buck is in a free fall. Four prompts and I hit the session limit. And then a huge chunk of my limit after finally running the script to produce the actual document. That's so restrictive that it makes it hard to make much of value.

Hi everyone, I set up a Claude Project a few weeks ago, but the status indicator in the top right corner has never changed from "Indexing" and still shows that little black dot. Does this status ever clear up once processing finishes? Also, my larger PDFs aren't showing visual thumbnails like the smaller files do. The cards just show the total number of lines in the text. Does this indicate a processing failure, and would splitting these large documents into smaller files help clear the indexing queue? Thanks for any and all suggestions.

Google Gemini Omni demonstrates strong video manipulation capabilities, highlighting a key technical strength of the multimodal model.

Reddit post expressing support for Google Gemini Omni without substantive technical details or benchmarks.

Nathan Witkin critiques METR's Long Tasks benchmark methodology, identifying severe flaws in the widely-cited AI time horizons graph.

Reddit user reports account suspension after minimal Claude usage for academic research assistance on Parkinson's Disease methodology.

Reddit user shares personal anecdote about health impacts from intensive Claude use and wellness practices adopted.

MobileGym enables parallel RL training for mobile GUI agents via deterministic JSON-based state representation, supporting hundreds of concurrent instances.

Paper argues agentic AI bottleneck shifts from model to system scaling; proposes 'scaling the harness'—designing auditable, modular architectures around foundation models.

Method conditions diffusion models on MLLMs for subject-driven image generation, improving identity preservation and instruction following via joint text-image encoding.

Prism: plug-in infrastructure for multimodal continual instruction tuning of MLLMs, addressing engineering bottlenecks via modular method-agnostic design.

LoopMDM: selective layer looping in masked diffusion models improves training efficiency and performance, enabling depth scaling without parameter increase.

LLM-based framework for structured code change labeling (renames, moves, logic edits) to improve code review efficiency beyond summarization.

Sleep-like consolidation mechanism converts context to fast weights in SSM blocks, reducing attention's poor scaling with long context in LLMs.

Self-generated replay data from LMs nearly eliminates catastrophic forgetting on new tasks; forgetting persists only when model capacity is exhausted.

Reddit user reports billing issues and unresponsive support from Anthropic; anecdotal customer service complaint.