Loose posts

The author argues the real takeaway is the process of large-scale parallel exploration, anomaly detection and human verification, not the discovery itself.

A new method from Google and others uses an optimized harness only during training, raising macro task success from 23.3% to 44.3% without a specialized harness at deployment.

Google's new memory architecture stores encrypted memories in the cloud with keys on the user's device, decrypting briefly in an isolated environment, while open questions remain about lost phones, device changes, and true forgetting.

According to The Information, DeepSeek's revenue doubled mainly through price increases, with a planned STAR Market raise of about $7.45B, while Liang Wenfeng says over 70% of compute still goes to training.

Korea University and Microsoft Research Asia measured time and CPU use across three agent types, finding that adding cores made a question-answering agent 13x faster but a web search agent only 4% faster.

Unpacking the APK revealed Optimus Gen 3 renders with a fully enclosed body and actuators moved to the forearms, alongside in-app home data consent and charging protocols, while suppliers have received orders for about 5,000 parts sets.

The author imported an archive of 35,000 tweets into a local SQLite database with full-text search, used AI for initial screening and review, and ended up with only 35 clear deletion candidates.

Claude identified repeated DNA sequences next to a phage gene, which the team named ART; the system resembles CRISPR in structure but its function is unknown.

Boltzbit and a Cambridge team use a hypernetwork to dynamically compile new facts from conversations into LoRA weights, beating long-context methods on long documents and multi-turn dialogue with constant per-turn compute.

About 950 Claude agents ran for 21 hours and screened over 200,000 reverse transcriptases to find a new system, which Feng Zhang called a good example of AI participating in biological discovery.

Given 13 takes of a flubbed line, the model read the transcripts, compared the top three frame by frame, picked the best, cut, graded and captioned it, rewrote its own captions, and spent 90 cents in 2 minutes.

Without any AI video tool, the model wrote the storyboard, drew each frame in p5.js, screenshotted them in headless Chrome, stitched them with ffmpeg and added the song, assigning parallel sub-agents to edit each chapter.