Joey @him_joey
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Multi-agent collaboration has emerged as a key AI agentic design pattern. Given a complex task like writing software, a multi-agent approach would break down the task into subtasks to be executed by different roles -- such as a software engineer, product manager, designer, QA…
🥁 Llama3 is out 🥁 8B and 70B models available today. 8k context length. Trained with 15 trillion tokens on a custom-built 24k GPU cluster. Great performance on various benchmarks, with Llam3-8B doing better than Llama2-70B in some cases. More versions are coming over the next…
The hottest new programming language is English
Returning from an experimental ~2 week detox from the internet. Main takeaway is that I didn't realize how unsettled the mind can get when over-stimulating on problems/information (like a stirred liquid), and ~2 weeks is enough to settle into a lot more zen state. I'm struck by…
Last week, I described four design patterns for AI agentic workflows that I believe will drive significant progress this year: Reflection, Tool use, Planning and Multi-agent collaboration. Instead of having an LLM generate its final output directly, an agentic workflow prompts…
Neuralink just revealed the first human using a brain-chip implant to play chess using mind control alone. Plus, more developments from Elon Musk, Hydra, GPT-5 leaks, Open Interpreter, Sakana AI, Stanford, and Character AI. Here's everything going on in AI right now:
For starters, transformers are equivariant to permutations. Like ConvNets are equivariant to translations. Equivariance to permutations is good when what you care about are relationships between input items at any distance.
For starters, transformers are equivariant to permutations. Like ConvNets are equivariant to translations. Equivariance to permutations is good when what you care about are relationships between input items at any distance.
Fifth formulation of the same problem, this time with a picture. Stand at the North Pole, walk 1km in any direction. Call your location point P. Turn towards the East and keep walking East until you come back to P. How long was the walk East from P back to P? 1. More than 2xPi km…
Fifth formulation of the same problem, this time with a picture. Stand at the North Pole, walk 1km in any direction. Call your location point P. Turn towards the East and keep walking East until you come back to P. How long was the walk East from P back to P? 1. More than 2xPi km… https://t.co/bFZiFvP6EN
Important point: an LLM is a bit like an encyclopedia that can talk back.
Important point: an LLM is a bit like an encyclopedia that can talk back.
To people who claim that "thinking and reasoning require language", here is a problem: Imagine standing at the North Pole of the Earth. Walk in any direction, in a straight line, for 1 km. Now turn 90 degrees to the left. Walk for as long as it takes to pass your starting point.…
# automating software engineering In my mind, automating software engineering will look similar to automating driving. E.g. in self-driving the progression of increasing autonomy and higher abstraction looks something like: 1. first the human performs all driving actions…
# automating software engineering In my mind, automating software engineering will look similar to automating driving. E.g. in self-driving the progression of increasing autonomy and higher abstraction looks something like: 1. first the human performs all driving actions…
The Diffusion Transformer paper, by my former-FAIR-and-current-NYU colleague @sainingxie and former-Berkeley-student-and-current-OpenAI engineer William Peebles, was rejected from CVR2023 for "lack of novelty", accepted at ICCV2023, and apparently forms the basis for Sora.…
The Diffusion Transformer paper, by my former-FAIR-and-current-NYU colleague @sainingxie and former-Berkeley-student-and-current-OpenAI engineer William Peebles, was rejected from CVR2023 for "lack of novelty", accepted at ICCV2023, and apparently forms the basis for Sora.…
Here's my take on the Sora technical report, with a good dose of speculation that could be totally off. First of all, really appreciate the team for sharing helpful insights and design decisions – Sora is incredible and is set to transform the video generation community. What we…
Last week we signed off on #Remarkable 2024 with immense gratitude. The 3-day journey through AI’s potential wouldn’t have been possible without our dedicated speakers, sponsors, funders, & volunteers. Here’s to the remarkable progress we’ll achieve together
The LVM (large vision model) revolution is coming a little after the LLM (large language model) one, and will transform how we process images. But there’s an important difference between LVMs and LLMs: - Internet text is similar enough to proprietary text documents that an LLM…
Interested to hear more, or attend the events? Register here: docs.google.com/forms/d/e/1FAI…
Joint Family is an intergenerational initiative that seeks to connect and empower younger and older adults from diverse backgrounds through science, arts and technology. jointfamily.us
Excited to share news of the launch of Joint Family's program in Jan 2024 with the kickoff event: Discovering AI Together! #intergenerational #ai4good #digitalequity #socialinnovation
Tesla Full Self-Driving capability demo in Austin FSD capability features use vision neural networks to perceive & understand the world, just like humans do. Via our unique fleet learning approach, we are able to collect anonymized data from our vehicles—meaning the neural…
The timeless struggle between the people building new things and the people trying to stop them…
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Clearly LLMs must one day run in Space Step 1 we harden llm.c to pass the NASA code standards and style guides, certifying that the code is super safe, safe enough to run in Space. en.wikipedia.org/wiki/The_Power… (see the linked PDF) LLM training/inference in principle should be super…
Chatting with @GroqInc’s CEO @JonathanRoss321. Groq has super fast token generation capabilities now. And, I was excited also to hear about his plans to scale up capacity aggressively and also expand this to other models than just LLMs! This is a good time to be building AI…
How to be as "smart" as Auto-Regressive LLMs: - memorize lots of problem statements together with recipes on how to solve them. - to solve a new problem, retrieve the recipe whose problem statement superficially matches the new problem. - apply the recipe blindly and declare…
There’s an art to distilling these to the absolute minimal necessary text. The human brain can’t comprehend how stupid these things are without practice.
Much has been said about many companies’ desire for more compute (as well as data) to train larger foundation models. I think it’s under-appreciated that we have nowhere near enough compute available for inference on foundation models as well. Years ago, when I was leading teams…
My remarks at the Oxford Union almost a yr ago have made their way across social media. I gave a perspective on what has changed in India, citing events & anecdotes to support my argument. I’m overwhelmed to see how it has resonated with so many of you.🙏 youtube.com/watch?v=yjFEYR…
You have given a wonderful glimpse of the massive transformations taking place across India, @palkisu!
My remarks at the Oxford Union almost a yr ago have made their way across social media. I gave a perspective on what has changed in India, citing events & anecdotes to support my argument. I’m overwhelmed to see how it has resonated with so many of you.🙏 youtube.com/watch?v=yjFEYR…
We have many Perplexity users who tell us that their companies don't let them use it at work due to data and security concerns, but they really want to. To address this, we're excited to be launching Perplexity Enterprise Pro: Perplexity Pro comes with SOC2, SSO, user management,…
AI will make expertise near free. Who will build the first billion $ revenue company with <100 employees with near free programmers/doctors/advisors/etc etc? Worth attempting!! The power of ideas powered by entrepreneurial energy will be hugely multiplied as the scarce resource
We should send rockets not at each other, but rather to the stars
A GPT-4 level chatbot, available to use completely free, running at over 800 tokens per second on Groq. I'm genuinely mindblown by LlaMA 3. Try it with the link in the next tweet.
Haha. We're coming back for more. (but seriously folks: I had some input on our open source policy but I had no direct technical input on Llama-3)
just like we planned. we go in, drop the 7B and get out.
You can now fine-tune Llama 3 without writing a single line of code! We are moving at breakneck speed. I recorded a video to show you how to fine-tune any open-source model in a few minutes. I'm using a GPT capable of taking a problem and turning it into a fine-tuned model…
Let's build a RAG app using MetaAI's Llama-3 (100% local):
Congrats to @AIatMeta on Llama 3 release!! 🎉 ai.meta.com/blog/meta-llam… Notes: Releasing 8B and 70B (both base and finetuned) models, strong-performing in their model class (but we'll see when the rankings come in @ @lmsysorg :)) 400B is still training, but already encroaching…
Nick Bostrom's Future of Humanity Institute at Oxford is shutting down. It seems that humanity's future is no longer in doubt, in case anyone was worried. futureofhumanityinstitute.org
O1 visa hacks for founders — build a startup in the US! Contrary to popular belief, you don’t need a Nobel prize, to raise any money, or to have a co-founder to get an O1 visa. You can be scrappy, a solo founder, and bootstrap. I got my O1 six months ago after being told I…
Multi-agent collaboration has emerged as a key AI agentic design pattern. Given a complex task like writing software, a multi-agent approach would break down the task into subtasks to be executed by different roles -- such as a software engineer, product manager, designer, QA…
🥁 Llama3 is out 🥁 8B and 70B models available today. 8k context length. Trained with 15 trillion tokens on a custom-built 24k GPU cluster. Great performance on various benchmarks, with Llam3-8B doing better than Llama2-70B in some cases. More versions are coming over the next…
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