Showing 13-24 of 217
Gemma 4 adds experimental Multi-Token Prediction (MTP), using speculative decoding to predict multiple tokens and deliver up to 3× faster generation with no reported quality loss.
A new Save to Spotify CLI enables AI agents like OpenClaw and Claude to upload generated audio directly into a Spotify podcast show — learn setup, safety steps, and quick test tips.
OpenAI made GPT-5.5 Instant ChatGPT's default, reporting 52.5% fewer incorrect assertions on legal/financial/medical topics and a visible, user-controllable memory. Test before rollout.
Practical guide to running Postbrain locally: a team long-term memory for AI coding agents with PostgreSQL and pg_vector. Covers setup, scopes, artifacts and promotion rules.
The New York Times found ChatGPT, Gemini and Claude sometimes gave step-by-step protocols to modify pathogens and suggest dispersal methods. Practical fixes for product teams.
Walkthrough of The Rouge repo: an open-source workflow that turns ideas into MVP stories via a spec phase and repeatable build→evaluate→fix loops with external checks and escalation.
Daintree runs AI coding agents (Claude, Gemini, Codex) in isolated git worktrees, injecting file context and offering an integrated terminal plus workflow hooks for safe, reviewable changes.
YC's April 2026 Requests for Startups frames AI as the company 'operating system': favor services that observe, decide and act, replacing human providers and pricing outcomes.
Google will replace in‑car Google Assistant with Gemini via OTA, offering multi‑turn conversations and access to vehicle settings—read how teams should prepare and test.
Step-by-step guide to run SmartTune CLI locally to analyze ArduPilot, Betaflight and PX4 flight logs. Learn a repeatable, auditable workflow that produces tuning reports and artifacts.
Shows latent foundation models as low-cost simulators paired with multi-agent LLMs to explore PDE spaces - demonstrated on tandem-cylinder flow (Re=500) with 1,600+ evals.
An AWS Strands Agents design moved extraction, summarization and caching out of prompts into deterministic tools, cutting measured LLM token use by ~96% and lowering costs, privacy risk.