I thought this was an absolutely fascinating look into reverse engineering hardware. If you’re a musician, check out the plugins at https://dsp56300.wordpress.com/ - you can bit perfect emulate famous 90s synths including Access Virus, Waldorf MicroQ and XT, Nord Lead and now Roland JP8000
- Imagine what you could do with 16-bit games of the era with one or more of these models embedded. Swap the model depending on the use case within the game. Great for adventures, RPGs, strategy, puzzle, and trading games (think Elite). With 512K or 1MB of RAM, plus 2 - 4 floppies (which became increasingly common as the era wore on), you could probably do a lot, especially if the outcomes of conversations can result in different game outcomes
- Back in the day nobody was really trying to do anything serious with AI on 8 or even most 16-bit machines, because nobody thought they were powerful enough to do anything useful with. Now the thinking has changed to how much somewhat useful intelligence can I cram into the least powerful device, even if that’s only for fun?
- Imagine showing this running on a CP/M machine, like the C128, to a serious AI researcher working back in the 1980s. Minds blown, right?
- Now spool forward 10 years into the 1990s and think what PC hardware of that era would have been capable of with these limited language models. I wonder what that era might have looked like with something that seems like somewhat useful conversational AI? A sort of electro-steampunk-ish vibe maybe? People having really odd conversations with semi-capable home automation running via their PCs.
Yeah I’ve almost never got in an Uber that was notably unclean or damaged in some way in London. Most of the times I’ve got one in SF, it’s been an unpleasant experience and so I now Waymo when I can there.
It is, but I don’t think this a bad offering - up until recently all iPhone cameras were 12mp, so you still get “good enough to print” quality. I guess it’s a bit of marketing speak but I don’t mind - to me it seems they made good choices on the lenses this year. 5x always seemed a bit too much without something in between but hopefully 4x is a decent compromise while still enabling “8x” (which I suspect is important for marketing and honestly will be quite fun)
Buzz was so great. I came across it when I learned James Holden produced his early stuff on it and was hooked. It had a good community with hundreds of synths and effects you could download from Buzzmachines. It was such a shame they lost the source code, I’d have loved to see how it developed.
This made me google Buzz and it turns out it was recoded by the author and there was an update in 2022. Not sure if it’s still developed. I’m not on a Windows machine so won’t be able to try it easily unfortunately, wish it was open source so it could be ported to Mac
If you work for a large org you’ll have some kind of enterprise agreement in place guaranteeing this. I can’t imagine they’d risk violating it regardless, the outcry could ruin them
If you work for a large org which has an official AI policy and agreements, sure. In those cases there is no problem; you're sending your employer's code to these companies in compliance with your employer's policy.
I enjoyed watching O3 do web searches etc. Seems that with GPT-5 you only get little summaries and it’s also way less web search happy which is a shame, O3 was so good for research
Early in my career I worked on a carrier's mobile internet portal in the days before smartphones. It was XSLT all the way down, including individual XSLT transforms for every single component the CMS had for every single handset we supported (hundreds) as they all had different capabilities and browser bugs. It was not that fun to write complex logic in haha but was kind of an interesting thing to work on, before iPhone etc came along and everything could just render normal websites.
Same. I was part of the mobile media messaging (WAP) roll-out at Vodafone. Oh man, XSLT was one of those "theoretical" W3C languages that (rightfully) aged like milk. Never again.
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