ShakingMyHead @ ShakingMyHead @awful.systems Posts 0Comments 70Joined 8 mo. ago
Who is even asking for this?
https://digitaldemocracy.calmatters.org/bills/ca_202320240sb1047
Have a AI regulation committee and also give the committee their own hardware so that they can use that hardware to regulate the other hardware. Maybe.
I'm not seeing a Strawberry announcement either.
Well, it's now yesterday's tomorrow and while there's an update I'm not seeing a Q* announcement.
Though they did introduce layers, so I guess that's neat.
The government has asked for "structural relief" - which could, in theory at least, mean the break-up of the company.
How likely would this be?
Also doxxing them when giving their refund.
A mouse that lasts forever... until y'know, it breaks, because it's a piece of hardware that actively gets worn out.
Bosses are urging employees to increase their output with the help of AI tools (37 percent), to expand their skill sets (35 percent), take on a wide range of responsibilities (30 percent), return to the office (27 percent), work more efficiently (26 percent), and work more hours (20 percent).
Stop working from home because AI.
If you look at the bottom right that's exactly the case. They didn't just type a prompt in SORA and call it a day.
I'm so certain that ASI is so soon that I'm going to go hiking in the woods in the dead of night with no supplies and not tell anyone where I am.
Unfortunately, "extremely expensive" and "high-end" aren't really synonyms, thanks to, y'know, bitcoin. Of course, I don't disagree with your argument that having to buy a GPU just to ensure your webmail does what it's advertised to do is, well, dumb.
What I don't know is what the LLM even is. Did they just tack on Llama to their webmail app and call it a day? Did they train a model? Was it trained on emails? If so, whose emails? What an advertisement that would be: "Use Protonmail to encrypt your emails so that companies like Protonmail can't use them to train an LLM."
Not to downplay what proton mail is doing, but they're saying that you can run this locally with a 2 core, 4 thread CPU from 2017 (the i3 7100, which is a 7000 series processor), and a RTX 2060, a GPU that was never considered high end. Perhaps they changed the requirements while you weren't looking. Or Am I reading this wrong?
I'm sure they will thank us once we explain that the alternative was GPT-5.
60% of the time, it works 100% of the time.
Probably would have been easier when the context window wasn't 128k.
Though what the point would be should someone actually achieve that eludes me a bit.