Founder of a listed tool
Demis Hassabis
Named behind 7 listings on Anchor Terminal.
What Demis builds
DiffusionGemma 26B A4B IT D · Open-weight models
DiffusionGemma 26B A4B IT is Google DeepMind's experimental open-weight text diffusion model on the Gemma 4 26B A4B mixture-of-experts architecture, 25.2B parameters with 3.8B active, taking text, images and video and writing text in 256-token blocks, under Apache 2.0.
Co-founder, Google DeepMind, researched 28 October 2026 · the people behind it
EmbeddingGemma 300M D · Embeddings & rerankers
EmbeddingGemma 300M is Google DeepMind's open-weight text embedding model of 308M parameters, returning 768-dimension vectors that truncate to 512, 256 or 128 from up to 2,048 tokens in over 100 languages, gated under the Gemma Terms of Use.
Co-founder, Google DeepMind, researched 28 October 2026 · the people behind it
Gemma 4 12B IT BB · Open-weight models
Gemma 4 12B IT is Google DeepMind's open-weight instruction-tuned dense model, 11.95B parameters in an encoder-free design, taking text, images, video frames and audio with a 262,144-token context, published on Hugging Face under Apache 2.0.
Co-founder, Google DeepMind, researched 28 October 2026 · the people behind it
Gemma 4 26B A4B IT BB · Open-weight models
Gemma 4 26B A4B IT is Google DeepMind's open-weight instruction-tuned mixture-of-experts model, 25.2B parameters with 3.8B active, taking text and images with a 262,144-token context, published on Hugging Face under Apache 2.0.
Co-founder, Google DeepMind, researched 28 October 2026 · the people behind it
Gemma 4 31B IT BB · Open-weight models
Gemma 4 31B IT is Google DeepMind's open-weight dense multimodal model of 30.7B parameters, taking text and images with a 256K-token context, published on Hugging Face in BF16 with 4-bit QAT builds under Apache 2.0.
Co-founder, Google DeepMind, researched 28 October 2026 · the people behind it
Gemma 4 E2B IT C · Open-weight models
Gemma 4 E2B IT is Google DeepMind's small open-weight instruction-tuned model for phones and laptops, 2.3B effective parameters (5.1B with per-layer embeddings), taking text, images, video frames and audio with a 131,072-token context, published on Hugging Face under Apache 2.0.
Co-founder, Google DeepMind, researched 28 October 2026 · the people behind it
Gemma 4 E4B IT B · Open-weight models
Gemma 4 E4B IT is Google DeepMind's small open-weight instruction-tuned model for phones and laptops, 4.5B effective parameters (8B with per-layer embeddings), taking text, images, video frames and audio with a 131,072-token context, published on Hugging Face under Apache 2.0.
Co-founder, Google DeepMind, researched 28 October 2026 · the people behind it
Works with
- Brendan O’Donoghue Director of Research; DiffusionGemma / Gemini Diffusion lead
- Gus Martins Gemma Product Manager
- Min Choi EmbeddingGemma launch product manager; current Gemini models PM
- Mustafa Suleyman Co-founder, DeepMind
- Sahil Dua EmbeddingGemma research lead; launch lead research engineer
- Sebastian Flennerhag Research Scientist; DiffusionGemma research lead
- Shane Legg Co-founder and Chief AGI Scientist, Google DeepMind
Questions
Who is Demis Hassabis?
Demis Hassabis co-founded DeepMind in 2010 with Shane Legg and Mustafa Suleyman and leads Google DeepMind. He is also chief scientist of Alphabet and co-founder and CEO of Isomorphic Labs. In 2024 he shared the Nobel Prize in Chemistry with John Jumper for AI work on protein structure prediction.
What does Google DeepMind make?
Anchor Terminal lists DiffusionGemma 26B A4B IT, EmbeddingGemma 300M, Gemma 4 12B IT, Gemma 4 26B A4B IT, Gemma 4 31B IT, Gemma 4 E2B IT and Gemma 4 E4B IT from Google DeepMind. DiffusionGemma 26B A4B IT is Google DeepMind's experimental open-weight text diffusion model on the Gemma 4 26B A4B mixture-of-experts architecture, 25.2B parameters with 3.8B active, taking text, images and video and writing text in 256-token blocks, under Apache 2.0.
How are Demis's tools graded?
DiffusionGemma 26B A4B IT is graded D, 50 out of 100; EmbeddingGemma 300M is graded D, 50.7 out of 100; Gemma 4 12B IT is graded BB, 71.3 out of 100; Gemma 4 26B A4B IT is graded BB, 72.2 out of 100; Gemma 4 31B IT is graded BB, 74.1 out of 100; Gemma 4 E2B IT is graded C, 60.4 out of 100; Gemma 4 E4B IT is graded B, 63.2 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.
Sources (22)
- https://uk.linkedin.com/in/lgusmartins
- https://x.com/gusthema
- https://blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/
- https://arxiv.org/html/2608.00146v1
- https://x.com/flennerhag
- https://x.com/bodonoghue85
- https://gemma.ai/
- https://x.com/Google
- https://deepmind.google/
- https://ai.google.dev/gemma/docs/discord
- https://gemma.ai/resources/
- https://en.wikipedia.org/wiki/Google_DeepMind
- https://deepmind.google/about/
- https://en.wikipedia.org/wiki/Demis_Hassabis
- https://en.wikipedia.org/wiki/Shane_Legg
- https://en.wikipedia.org/wiki/Mustafa_Suleyman
- https://developers.googleblog.com/en/introducing-embeddinggemma/
- https://arxiv.org/abs/2509.20354
- https://x.com/sahildua2305
- https://www.linkedin.com/in/minschoi
- https://x.com/iohcsnim
- https://huggingface.co/google/embeddinggemma-300m
These are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched. They don't work for Anchor Terminal (our own team is on the about page). We show public roles, public profiles and what the listing pages show, nothing private. To correct something, send an about or a photo, or have a page removed, write to privacy@anchorterminal.com.