Makes me think that mass analysis of archive.org websites (on a much larger scale than 2000 sites) for color distribution from screenshots or other stuff like this is a cool project ripe for picking.
> It took them two months, to develop chip for Llama 3.1 8B. In the AI world where one week is a year, it's super slow. But in a world of custom chips, this is supposed to be insanely fast.
LLama 3.1 is like 2 years at this point. Taking two months to convert a model that only updates every 2 years is very fast
2 months of design work is fast, but how much time does fabrication, packaging, testing add? And that just gets you chips, whatever products incorporate them also need to be built and tested.
But why not cross that bridge then. By that time you might have much more optimized local infrastructure. Although I do see that someone suffering through the local slowness now is what drives the development of these local options.
I'm predicting some wave of articles why clawd is over and was overhyped all along in a few months and the position of not having delved into it in the first place will have been the superior use of your limited time alive
Openclaw the actual tool will be gone in 6 months, but the idea will continue to be iterated on. It does make a lot of sense to remotely control an ai assistant that is connected to your calendar, contacts, email, whatever.
Having said that this thing is on the hype train and its usefulness will eventually be placed in the “nice tool once configured” camp
What surprises me is that this obvious inefficiency isn't competed out of the market. Ie this is clearly such a suboptimal use of time and yet lots of companies do it and don't get competed out by other ones that don't do this
I think the issue is everyone's stuck in the same boat - the alternative to using AI and spending time reviewing is just writing it yourself, which takes even longer. so even if it's not a net win, it's still better than nothing. plus a lot of companies aren't actually measuring the review overhead properly - they see 'AI wrote 500 lines in 2 minutes' and call it a productivity win without tracking the 3 hours spent debugging it later. the inefficiency doesn't get competed out because everyone has the same constraints and most aren't measuring it honestly
OpenAI and google are too scared of music industry lawyers to tackle this. Internally they without a doubt have models that would crush these startups over night if they chose to release them.
Is your claim that music industry lawyers are that much scarier than movie industry lawyers? Because the big labs don't seem to have any problem releasing models that create (possibly infringing) video.
Thus far AI has only been used to create fan fiction clips that generate free marketing for legacy IP on TikTok. And the rights holders know that if AI gets good enough to make feature length movies then they'll be able to aggressively use various legal mechanisms to take the videos off major sites and pursue the creators. Long term it could potentially lower internal production costs by getting rid of actors & writers.
Music is very different. The production cost is already zero, and people generating their own Taylor Swift songs is a real competitive threat to Spotify etc.
> Is your claim that music industry lawyers are that much scarier than movie industry lawyers?
Not qoez:
You have to balance market opportunities with the risk of reputational damage and litigation risk.
Video will probably make a lot more money than audio, so you are willing to take a bigger risk. Additionally, at least for Google there exists a strong synergy between their video generation models and YouTube, which makes it even more sensible for Google to make video models available to the public despite these risks.
well i guess the music industry is a lot more monopolized than video, plus there is a lot of video out there that isn't "movies," while there's not a lot of music that isn't... "music"
I'm not sure it's just fear of lawyers, although that's definitely part of it. Big companies have way more to lose reputationally and legally, so the bar for releasing something is much higher
I find it helps me just forced to be focused on a task for a few hours. Just the blocked out attention I spend on it will help refine and discover new problems and angles etc. I don't think just blocking out the time without actually trying to code it (staring at a wall) is as effective.
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