Giannis Chatziveroglou

There are no words.

@cohere transcribe Sota open source transcription model running in the browser :) Weights on @huggingface link below

Introducing: Cohere Transcribe – a new state-of-the-art in open source speech recognition.

We’re excited to announce our partnership with @RWSGroup, bringing Cohere’s frontier AI models to Language Weaver Pro - unlocking new enterprise‑grade translation capabilities. Purpose-built for high-stakes environments, this integration empowers enterprises and governments to communicate seamlessly across languages and accelerate new opportunities for global collaboration and growth! Learn more: rws.com/about/news/202…

We’re excited to announce that we’ve signed a Memorandum of Understanding for advanced AI collaboration with Saab, a global leader in defense and security. Together, we’ll explore groundbreaking AI partnerships for their aerospace platforms and deliver tailored solutions critical to Saab’s operations.  Read more: cohere.link/cquJlw4

Hey all, I will be at GTC next week talking about all the work my team and I did on large-scale MoE training in JAX on GPUs! We decided early on to have a fully dropless training stack to avoid token dropping. (1/7)

Welcoming @cohere to the team as our Official Generative AI Partner to help accelerate AI innovation. Learn more: astonmartinf1.com/en-GB/news/ann…

I'm honestly astonished that Citadel Securities published a rebuttal to the @Citrini7 piece. citadelsecurities.com/news-and-insig…

We are excited to share our new paper on Verifiable Aggregate Receipts (VAR) — a cryptographic primitive for auditable engagement counts that prevents inflation while preserving user privacy. This is joint work with @wanggary142857, Jasleen Malvai, and @0xFanZhang at @YaleACL.

I will be at Nvidia GTC in March! @bharatvenki and I are gonna talk about all the systems work we do at Cohere. Come listen from me about all the custom kernel work we do for large scale LLM training on Hopper and Blackwell!! nvidia.com/gtc/session-ca…

I love discovering extremely talented young Greeks like @giannis2two in NYC building super cool stuff. So many hidden (people) gems out there. Who are some of the highest signal yet most underfollowed GR techies you know? Drop them below, help me bring the spotlight they deserve.

Apply to do research with me on emergence of agency/planning in LLMs, out-of-context reasoning, understanding generalization from data, or propose your own direction! Very excited to be mentoring this spring 💫

@SahilBloom You should distinguish uncertainty of purpose from uncertainty of rewards E.g. it should be certain that you'll show up and take a step every day; even if it's uncertain you'll be rewarded Uncertainty of purpose should be extinguished, uncertainty of rewards should be expected

Video and blog post of @SonglinYang4 explaining DeltaNet used in the newest Qwen-Next model * sustcsonglin.github.io/blog/2024/delt… * youtu.be/d0HJvGSWw8A

Excited to share the preprint of my Master's thesis. A*-Decoding: Token-Efficient Inference Scaling A*-Decoding is a search-based inference-time scaling method that matches large model performance using up to 3x fewer tokens and 30% fewer PRM passes. arxiv.org/abs/2505.13672…

@LauraRuis @jacobandreas @ev_fedorenko Congrats Laura!!

Excited to announce that this fall I'll be joining @jacobandreas's amazing lab at MIT for a postdoc to work on interp. for reasoning (with @ev_fedorenko 🤯 among others). Cannot wait to think more about this direction in such a dream academic context!

Still a 3 rows deep crowd at poster 208 at #ICLR2025 . Want to know what an internship project with one of the largest compute budgets I've ever seen for an internship looks like? Drop by @LauraRuis' poster in next 1h45 ✨

I'm excited to the tech report for our @Cohere @CohereForAI Command A and Command R7B models. We highlight our novel approach to model training including the use of self-refinement algorithms and model merging techniques at scale. Command A is an efficient, agent-optimised multilingual model offering best-in-class capabilities. Read more below! ⬇️

Today @cohere is very excited to introduce Command A, our new model succeeding Command R+. Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding usecases. 🧵

My thoughts on China, export controls and two possible futures darioamodei.com/on-deepseek-an…