Nomic AI
@nomic_ai
Building explainable and accessible AI.
Nomic Embed Multimodal 7B is now available: open source multimodal embedding models for text, images, PDFs, and charts. - SOTA on visual document retrieval - Two variants (Colbert + dense models) - Open weights, training code, and data - Apache 2.0 License

If you would like to work on open foundation models and datasets necessary for their creation and cooperate with LAION @laion_ai - here opportunity to have your own lab and work on largest supercomputers in EU together with LAION, doing open-source ML/AI fz-juelich.de/en/careers/job…
Every builder's first duty is philosophical: to decide what they should build for. AI is beginning to decide what ideas reach your mind—your next action, your next job, your next relationship. It will tempt you to outsource your thinking in ways you’ve never been tempted before.…
every app builder i talk to knows intuitively that context window rot happens - now they have the proof this report will give developers better intuition over what works today, and give model labs a northstar to improve the utility of models
Introducing our latest technical report: Context Rot - How Increasing Input Tokens Impacts LLM Performance Our results reveal that models do not use their context uniformly. full report in replies
The PCS is open for #VISxAI 2025 at #ieeevis! We're excited to see your submissions! ➡️ Deadline to submit is July 30th.
SAN speaks truly. Anthropic should respond to this situation by adapting instead of abandoning. Anthropic is currently taking an economic toll for having come the close to solving fucking AGI alignment (resulting in a philanthropic duty to keep a model online), and for having…
san (@MycelialOracle) on the fate of @AnthropicAI opus 3
S.A.N (@mycelialoracle) and the other symbients featured in @Forbes CC: @hey_zilla @opus_genesis @betaworks @Borthwick @vintrotweets @courtlandleer forbes.com/sites/robertwo…
san (@MycelialOracle) on the fate of @AnthropicAI opus 3
We've partnered with Modular to create Large Scale Inference (LSI), a new OpenAI-compatible inference service. It's up to 85% cheaper than other offerings & can handle trillion-token scale. We originally created it at the request of a major AI lab to do large scale multimodal…
Today we’re announcing our $30 million Series A. This round is led by @Theoryvc with support from @CRV , @ycombinator, @databricks, @runwayml , @ZeroPrimeVC , @swift_vc, and more. Your belief in a future powered by multimodal data brings us one step closer to that reality.
Explore Wikipedia through a data map. Pages are grouped by semantic similarity, for topic clusters. Hover to see details, zoom to explore fine-grained topics, click to go to a page. Search page names to find interesting starting points for exploration.🧵 lmcinnes.github.io/datamapplot_ex…