The first step of any meaningful pursuit is to severely underestimate its difficulty.
10.7K posts
Building intelligence that evolves @adaption_ai. Built @Cohere_Labs, @GoogleBrain, @GoogleDeepmind. ML Efficiency, Multimodal\lingual.
- Adaptable Intelligence. Multiple possible paths to an objective.00:00
- If you have multiple papers before you even began a PhD, it likely means you had access that others didn't. I wish more PhD programs would take a step back and stop this absurd practice of favoring multiple papers before someone even begins a training program.My jaws keep dropping as I go through 70 PhD applicant files. People w/ 2 coauthored papers & an interesting solo writing sample donβt even make it to the top 10 in my pile. The level of knowledge, research experience & passion these kids bring to the table is just remarkable! π€©GIF
- Yesterday, I ended up in a debate where the position was "algorithmic bias is a data problem". I thought this had already been well refuted within our research community but clearly not. So, to say it yet again -- it is not just the data. The model matters. 1/n
- I'm starting a new project. Working on what I consider to be the most important problem: building thinking machines that adapt and continuously learn. We have incredibly talent dense founding team + are hiring for engineering, ops, design. Join us:
- Driving through Utah near Zion... ok, you have my attention.
- lol someone wants to train a multi-modal model.Uploading your videos to π massively increases viewership, as the algorithm is optimizing for total user-seconds
- I emailed an author about a paper where the ENTIRE contribution is about a dataset they curated + constructed. The question: has the dataset been released? No, we decided not to. What absurdity. Iβm tempted to ask arxiv to take down the paper. How is this science?
- There is a misconception that famous researchers in ML are innately brilliant. Most well known researchers I meet are not. They are smart. But the dominant traits are perseverance and sense of research agenda. They pursue interesting questions and are willing to fail doing so.
- It has been an incredible honor to spend the past few years leading @Cohere_Labs@cohere . This has been the adventure of a lifetime. However, after much deliberation, I made a tough decision 2 months ago it is time to say goodbye.
- Today is my last day at Google Brain. My biggest takeaway is that research is an inherently human endeavor. It has been a special 5 years. I have learned a lot from all of you, and it has brought me great joy working on research I am proud of w my colleagues and collaborators.
- Today, I am very proud share what we have been working on for the last 14 months. β¨ Introducing Aya -- a new state-of-art for massively multilingual models. π₯πToday, weβre launching Aya, a new open-source, massively multilingual LLM & dataset to help support under-represented languages. Aya outperforms existing open-source models and covers 101 different languages β more than double covered by previous models. cohere.com/research/aya00:00
- What is your favorite matplotlib configuration setting for beautiful scientific charts? Links welcome to open source or examples of charts you love.
- I'm excited to finally share what I have been working on. Today we are officially launching Cohere For AI @forai_ml a non-profit research lab that aims to reimagine how, where, and by whom research is done. cohere.for.ai
