Tim Zaman @tim_zaman
AI at Google DeepMind. callsign PD4TA. Previously Tesla, X/Twitter (head of AI Infra), NVIDIA. timzaman.com San Francisco, CA Joined June 2010-
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Grok 1.5 announcement includes the examples that made me feel like self-driving can eventually be done (better) as a subset of a more generic AI, eg a multimodal LLM as shown here. When I was at Autopilot, this made me feel a bit worried. Such models can do examples like the…
Grok 1.5 announcement includes the examples that made me feel like self-driving can eventually be done (better) as a subset of a more generic AI, eg a multimodal LLM as shown here. When I was at Autopilot, this made me feel a bit worried. Such models can do examples like the… https://t.co/IJivRUMo0z
Google's coding ecosystem is truly fantastic. The way its components dovetail into each-other is quite remarkable, and oddly intuitive for a complex system. Makes GitHub feel like a git-wrapper, even though i love that too. Lots of opportunity for innovation here. Things like…
Zombie apocalypse. No internet; off-grid with just your laptop. Would you rather have installed:
Congrats to SpaceX team, what a fantastic and inspirational achievement.
Congrats to SpaceX team, what a fantastic and inspirational achievement.
There is probably more to it. I pulled two 2x4s (dont get me started - modern "2x4s" measure 1.5x3.5 inches) from my 1880s barn in south bay. I think it's just survivorship bias that we think old wood is so good. And yes, I am planning to become a wood restorer post-singularity.
There is probably more to it. I pulled two 2x4s (dont get me started - modern "2x4s" measure 1.5x3.5 inches) from my 1880s barn in south bay. I think it's just survivorship bias that we think old wood is so good. And yes, I am planning to become a wood restorer post-singularity. https://t.co/SmEvwZknvv
We are releasing a first set of new models for the open community of developers and researchers.
We are releasing a first set of new models for the open community of developers and researchers.
RIP TOP500. No one submits anymore, eg this 4.6k gpu (small) cluster is #9.. Kind of sad bc it is such an awesome hw/sw systems challenge.
RIP TOP500. No one submits anymore, eg this 4.6k gpu (small) cluster is #9.. Kind of sad bc it is such an awesome hw/sw systems challenge.
Bard (the product) is now Gemini. Gemini Advanced is powered by the Gemini Ultra 1.0 model, our most advanced multimodal model. Congrats to everyone who worked on this effort, including the Bard and Gemini teams! Lots more updates in the blog post! blog.google/products/gemin…
Bard, powered by the Gemini Pro-scale model, debuts at the #2 position on the independent lmsys leaderboard. 🔥 Give it a try at bard.google.com. Bard is much better & has many more capabilities since its debut in March, thanks to everyone on the Bard/Gemini teams!
Bard, powered by the Gemini Pro-scale model, debuts at the #2 position on the independent lmsys leaderboard. 🔥 Give it a try at bard.google.com. Bard is much better & has many more capabilities since its debut in March, thanks to everyone on the Bard/Gemini teams!
If you look closely, the last few characters are #pylint: disable=line-too-long
PyTorch's design origins, its connection to Lua, its intertwined deep connection to JAX, its symbiotic connection to Chainer The groundwork for PyTorch originally started in early 2016, online, among a band of Torch7's contributors. Torch7 (~2010-2017) These days, we also…
Personal news - Joined NVIDIA in 2016, and Tesla in 2019. Like family, I never thought I'd leave. My intuition pulls me to my next venture, that has the ingredients to change the world - again. I'm joining Google DeepMind this Monday. Excited to be a kid among legends!
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Incredible Starlink ad
Incredible tornado intercept just now north of Lincoln Nebraska!! @ryanhallyall @SevereStudios
And that's a wrap.
our winter engineering interns have entered the chat
@zen__kino Personally I never use black and I think it looks super ugly and it takes away creative freedom of the programmer to make their code nice and readable and understandable semantically to other humans. Many people disagree that's fine.
@__tinygrad__ @ElonBaldMusk [gif] me trying to read tinygrad code earlier :D I think the LOC requirements (which are only a proxy for simplicity) led to too great compression. You wouldn't brag about your .min.js code being 1 LOC. Imo it would be a lot more simple if the code was given room to breathe and…
First @nvidia DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen "to advance AI, computing, and humanity":
@paulg @markessien so many past experiences make sense now
Gemini 1.5 Pro has entered the (LMSys) Arena! Some highlights: -The only "mid" tier model at the highest level alongside "top" tier models from OpenAI and Anthropic ♊️ -The model excels at multimodal, and long context (not measured here) 🐍 -This model is also state-of-the-art…
More exciting news today -- Gemini 1.5 Pro result is out! Gemini 1.5 Pro API-0409-preview now achieves #2 on the leaderboard, surpassing #3 GPT4-0125-preview to almost top-1! Gemini shows even stronger performance on longer prompts, in which it ranks joint #1 with the latest…
Llama3-70B has settled at #5. With 405B still to come next... I remember when GPT-4 released in March 2023, it looked like it was nearly-impossible to get to the same performance. Since then, I've seen @Ahmad_Al_Dahle and the rest of the GenAI org in a chaotic rise to focus,…
Exciting update -- Llama-3 full result is out, now reaching top-5 on the Arena leaderboard🔥 We've got stable enough CIs with over 12K votes. No question now Llama-3 70B is the new king of open model. Its powerful 8B variant has also surpassed many larger-size models. What an…
This hits home pretty hard... linkedin.com/posts/matthew-…
@scottgray76 @karpathy I don’t think this is necessary for the sizes he’s looking at - the rows are small enough that you can just persist the entire row in registers.
@cHHillee @scottgray76 We want to do a full GPT-2 repro, at channel size 1600 this is 2.1X higher C. And we'll want to ~max out batch dim to fit in memory too. So the "easy times" will be over soon.
@karpathy @scottgray76 Even at 1600 you can persist the entire row in SRAM at once. I think it typically needs to be around 8k+ elements in a single row before you’re unable to persist the row in SRAM. The batch dim doesn’t affect this as you can launch one block per “batch element”
@scottgray76 @karpathy Ah I misunderstood. I thought you were recommending "Use mean(x^2) - mean(x)^2 so that you can compute it in a single pass". On a side note, my understanding was that this is fairly numerically unstable, no?
@jeremyphoward @soumithchintala Absolutely! I remember this call! One of the things I learned quickly as an exec is that "getting the true story" was always very challenging as everyone wanted to manage me! One of the many reasons I love open source is it doesn't give a damn about org charts!
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