altman says musk wanted openai to go to his kids
sam altman testified that elon musk once suggested openai could pass to his children, raising safety concerns during the nonprofit's early for-profit debates.
topic
ai
capability elicitation vs creation in post-training
a free-energy perspective distinguishes whether post-training reweights existing model behaviors or creates new ones.
robinhood preps second retail venture fund amid ai rally
robinhood files for rvii, a new fund letting anyone invest in growth and early-stage startups, after its first ai-heavy fund doubled in price.
dessn raises $6m for design tool that runs on live code
dessn, a new design startup, raised $6 million to let product teams iterate directly on their production codebases without setup costs.
using llm in the shebang line of a script
simon willison explores patterns for running his llm cli tool directly from a shebang line, enabling scripts that generate content or use tools via natural language prompts.
ai voice startup vapi valued at $500m after ring deal
vapi reached a $500 million valuation after amazon ring chose its ai voice platform over 40 rivals, routing all inbound calls through vapi.
active multi-predictor inference cuts label costs
a new method routes each case to a cost-appropriate set of predictors and samples labels based on uncertainty, reducing variance under a fixed budget.
10 github repos to learn fastapi
a curated list of ten github repositories that help developers learn fastapi through templates, examples, auth tools, microservices, and ml projects.
ai coding agents must cut maintenance costs
james shore warns that ai coding tools must reduce maintenance costs proportionally to their speed gains, or they risk multiplying long-term work.
where reliability lives in vision-language models
a mechanistic study finds attention sharpness is a near-zero predictor of correctness in vision-language models, while hidden state geometry and self-consistency offer stronger reliability signals.
shopify's public slack agent teaches coding by example
shopify's internal coding agent river operates in public slack channels, letting employees learn from each other's work through visible conversations.
preference embeddings for collective decisions
standard text embeddings capture semantics, not agreement, so new methods are needed to map free-text opinions for fair clustering and facility location.
thinking machines lab unveils ai that talks and listens at once
thinking machines lab announced interaction models, a full-duplex ai that processes input and generates responses simultaneously, aiming for natural conversation speed.
rl-kirigami speeds inverse design of shape-shifting structures
a new framework combines flow matching and reinforcement learning to quickly generate valid kirigami cut patterns for target shapes.
pathboost: gradient boosting learns graph features from paths
pathboost is a gradient tree boosting method for graph-level prediction that learns path-based features directly from graph structure, outperforming graph neural networks on half of benchmark datasets.
high-dimensional multi-component ica phase structure
mean-field theory reveals initialization-driven competition and decoupling regimes in online independent component analysis.
build an ai lms with ollama, fastapi, and react
a step-by-step guide to creating a learning management system that adapts to each learner using local ai models.
gitlab restructures for agentic era, cuts management layers
gitlab announces workforce reduction, flatter org, and new values as it bets on agentic engineering expanding software demand.