181–190 of 331 posts
Turing-completeness != un-optimizable! Literally the areas of type systems and compilers exist to serve this endeavor. It's gotta be a meme at this point every time someone brings up the halting problem or rice's theorem.
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Comma didn't fizzle out. https://twitter.com/comma_ai/status/1578517666632900608
They're slowing burning through their VC money trying to make a business out of the hobbyist market while Cruise and Waymo have fully autonomous cars deployed in SF and are scaling up.
Is that it? SF only? After billions invested? There is a laundry list of those that tried and failed especially with burning an insurmountable amount of VC money even with billions of their own money.
Lyft: Scrapped and sold their self-driving project. [0]
Uber: Scrapped their robot-taxi project and sold it off. [1]
Zoox: Once valued at $3BN, acquired by Amazon for $1BN after nearly going bankrupt and is still using specialised cars for self driving only in SF. [2]
Cruise: Acquired by GM and still using specialised cars for self driving in SF [3]
Drive.ai: Ran out of money and almost bankrupt and acquired by Apple. [4] No where to be found on the roads.
Waymo: Same situation as Cruise, but Google keeping them alive.
Comma has lasted longer than these over-valued companies and is already in lots of consumer grade vehicles beyond SF today and not in specialised cars and taxis unlike Cruise and Waymo who are still stuck in SF [5].
[0] https://www.nytimes.com/live/2021/04/26/business/stock-marke...
[1] https://www.npr.org/2020/12/08/944337751/uber-sells-its-auto...
[2] https://www.cnbc.com/2020/06/26/amazon-buys-self-driving-tec...
[3] https://fortune.com/2016/03/11/gm-buying-self-driving-tech-s...
[4] https://techcrunch.com/2019/06/25/self-driving-startup-drive...
[5] https://techcrunch.com/2023/05/18/cruise-waymo-near-approval...
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He mentioned ROCm, and apparently had lack luster experience with it. >The software is called ROCm, it’s open source, and supposedly it works with PyTorch. Though I’ve tried 3 times in the last couple years to build it, and every time it didn’t build out of the box, I struggled to fix it, got it built, and it either segfaulted or returned the wrong answer. In comparison, I have probably built CUDA PyTorch 10 times an…
Not surprising lol. This was also the experience I had while experimenting with MLIR approximately 3 years ago. You'd need to git checkout a very specific commit and then even change some flags in code to have a successful build. I'm sure things are better now but I haven't messed with it since then.
I had the same experience ~3 months ago. Gave up and switched to Nvidia 3090s for my workloads.
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You're creating a false narrative man. Him creating tinygrad makes sense given he created a self-driving car company which leverages deep learning (and now uses tinygrad in prod, go figure). It's not like he decided to hop from self-driving cars to 'AI' because fads changed.
The same self-driving company he left? His "Amazing Journey" post[1] for Comma was illuminating; once a company is "[...] no longer a race car, [but] a boat" GeoHot is likely to bounce. I like AMD as much as the next guy, but I don't want to rely the software being provided by a personality who only really gets excited by working on new projects before the "wild success" stage (if we can call it that for Comma) 1. ht…
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George Hotz is a talented engineer but he absolutely does not have the social science background to "fix" Twitter.
Being an engineer at Twitter is much more akin to an enterprise like a bank or telco. You need to be a team player and work across different groups e.g. Product, Testing, SRE etc in order to successfully get features into Production. So being a talented engineer is useful but having high emotional intelligence and being able to negotiate and collaborate is far more important.
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Comma didn't fizzle out. https://twitter.com/comma_ai/status/1578517666632900608
They're slowing burning through their VC money trying to make a business out of the hobbyist market while Cruise and Waymo have fully autonomous cars deployed in SF and are scaling up.
I respect Geohot's reputation and this company looks amazing. I might be in the market to work there... except "No Remote." For such a smart guy, locking yourself out of a ton of talent by requiring software developers to be on-site in 2023 seems...out of character, to put it politely. (Rephrased, my original post was a bit too ad hominem and accumulating downvotes rapidly. I wanted to delete this entire comment but…
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He has been working on tinygrad since atleast 2021. https://geohot.github.io/blog/jekyll/update/2021/06/13/a-bre...
AI was already red hot in 2021, so not sure that detracts from OP's point. I know it seems like ages ago at the current pace, but ya gotta remember that GPT-3 was released in mid-2020.
But not to everyone.
I would argue that it was not until around December 2022 that the world at large got the opportunity to begin really using AI directly. With ChatGPT.