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I’ve walked through poor neighbourhoods in India, Africa and LatAm many times. Yet, I recently walked through one of the most depressing ones in terms of poverty, drug abuse, and sheer hopelessness: San Francisco.
Giant tech AI companies promise to make the world a better
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There appears to be a mismatch between publishing criteria in AI conferences and "what actually works". It is easy to publish new mathematical constructs (e.g. new models, new layers, new modules, new losses), but as Apple's MM1 paper concludes:
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I still remember that 2013 @NeurIPSConf party with Mark Zuckerberg. He had a bottle of water at that first Neurips corporate party. I thought it was out of character for a Neurips party - what was the matter with this kid? And why did he speak like that? We were so naive! …
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This is by far the best non-technical Natural and Artificial Intelligence book anyone could read. This comprehensive, well-researched, crisply clear, sharply focused and illuminating book is a thing of beauty. It is the book I wish I had had when I started my AI career 30 years
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I’ve walked through poor neighbourhoods in India, Africa and LatAm many times. Yet, I recently walked through one of the most depressing ones in terms of poverty, drug abuse, and sheer hopelessness: San Francisco.
Giant tech AI companies promise to make the world a better
I still remember that 2013 @NeurIPSConf party with Mark Zuckerberg. He had a bottle of water at that first Neurips corporate party. I thought it was out of character for a Neurips party - what was the matter with this kid? And why did he…
RL is not all you need, nor attention nor Bayesianism nor free energy minimisation, nor an age of first person experience. Such statements are propaganda.
You need thousands of people working hard on data pipelines, scaling infrastructure…
I’ve joined @Microsoft AI to advance the frontier of large scale multimodal AI research and to build products for people to achieve meaningful goals and dreams.
The MAI team is small, but well resourced and ambitious. We are now looking f…
It’s time to say thank you and goodbye to @GoogleDeepMind. I had the immense fortune of working there for 10 years. They were undoubtedly the most exciting years in the history of AI, and I feel that I grew beyond all my expectations thank…
The Llama 3 paper is a must-read for anyone in AI and CS. It’s an absolutely accurate and authoritative take on what it takes to build a leading LLM, the tech behind ChatGPT, Gemini, Copilot, and others.
The AI part might seem small in co…
Hmmm, from what I see my colleagues in AI at Google London work bloody long ours and are extremely committed. This guy once came to London and told us to abandon Torch and use TensorFlow. That set the field of AI back by at least 6 months.
This is by far the best non-technical Natural and Artificial Intelligence book anyone could read. This comprehensive, well-researched, crisply clear, sharply focused and illuminating book is a thing of beauty. It is the book I wish I had h…
There appears to be a mismatch between publishing criteria in AI conferences and "what actually works". It is easy to publish new mathematical constructs (e.g. new models, new layers, new modules, new losses), but as Apple's MM1 paper conc…
Nvidia released the megatron language model before the pandemic. It’s amazing how influential this paper became. A must read for people wanting to learn about AI.
Someone’s opinion article. My opinion: It’s all about scale now! The Game is Over! It’s about making these models bigger, safer, compute efficient, faster at sampling, smarter memory, more modalities, INNOVATIVE DATA, on/offline, … 1/N
Game over. Scale is essential to AI.
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