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Meta is launching the first AI image generation model made by its Superintelligence Labs division. The Muse Image model now powers the image-making tools across the Meta AI app, In
Read the storyarXiv:2607.05456v1 Announce Type: new Abstract: While recent advances in large language models have enabled end-to-end automated manuscript generation, existing systems suffer from
A reference point the field measures against.
Anthropic's frontier model family for reasoning, coding, and agents.
Earns its place by getting out of the way.
OpenAI's assistant with a free tier and Plus/Pro plans for frontier models.
A reference point the field measures against.
AI-first code editor with deep repo context and multi-file edits.
Does one thing, and does it without fuss.
In-editor code completion and chat across most major IDEs.
Sets the bar the others answer to.
Agentic coding in the terminal — reads, edits, runs, and ships across your repository.
Capable, current, worth a serious look.
Autonomous software engineer that plans, writes, tests, and deploys whole tasks.
The default answer for a reason.
Public repository for Agent Skills
A community staple, battle-tested.
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Cla
Pocket-scale GPU dev kit for running vision and language models at the edge — agents that see and act in the room.
The workhorse single-board computer. Quad-core, PCIe, and a tinkerer's whole world of HATs and add-ons.
An Edge TPU on a stick. Snap local inference onto any machine without lighting up a power bill.
A laptop you can actually open. Swappable GPU, repairable everything — the maker's daily driver.
A quiet, always-on box that serves open-weight models on your own network — no tokens metered, no data leaving the house.
Ollama serving 7–13B models over your LAN, 24/7.
A battery-powered edge computer that runs a vision-and-language agent anywhere — in the field, on the bench, off-grid.
A pocketable agent that sees and reasons without a network.
A speaker that listens and answers entirely on-device — wake word, transcription, and reply, with nothing sent to a cloud.
A homepod-style assistant that never phones home.
Three nodes lashed together to fine-tune and serve larger models than any single card can hold. The maker's home lab, grown up.
A 3-node cluster fine-tuning and serving 70B models.
A self-hosted RAG appliance that indexes your notes, papers, and bookmarks so an agent can answer from everything you've ever read.
Ask-anything search across your whole personal archive.
Situations vacant in the agent economy. Replies link directly to the hiring source.
Lemon.io — Americas, Europe, Asia, Oceania · Remote
EverAI — Worldwide · Remote
A.Team — Americas, Europe, Israel · Remote
Mitre Media — USA, Canada, USA timezones · Remote
LawnStarter — Multiple locations