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In-reply-to » The original twt is unavailable. It may have been edited or deleted, or is from an unknown or muted feed.

Most of the can run locally have such a small training set they arnt worth it. Are more like the Markov chains from the subreddit simulator days.

There is one called orca that seems promising that will be released as OSS soon. Its running at comparable numbers to OpenAI 3.5.

https://youtube.com/watch?v=Dt_UNg7Mchg&feature=share9

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In-reply-to » The original twt is unavailable. It may have been edited or deleted, or is from an unknown or muted feed.

@movq@www.uninformativ.de If I understand it correctly, gtk4 renders using OpenGL. That means some of that RAM that appears to be allocated is actually some trick of the OpenGL driver so that it can map address in RAM space to the GPU’s VRAM (depends a lot on your setup though).

What happens if you run it with GSK_RENDERER=cairo set?

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In-reply-to » Dear Stack Overflow, Inc.

Seems to me you could write a script that:

  • Parses a StackOverflow question
  • Runs it through an AI text generator
  • Posts the output as a post on StackOverflow

and basically pollute the entire information ecosystem there in a matter of a few months? How long before some malicious actor does this? Maybe it’s being done already 🤷

What an asinine, short-sighted decision. An astonishing number of companies are actively reducing headcount because their executives believe they can use this newfangled AI stuff to replace people. But, like the dot com boom and subsequent bust, many of the companies going this direction are going to face serious problems when the hypefest dies down and the reality of what this tech can and can’t do sinks in.

We really, really need to stop trusting important stuff to corporations. They are not tooled to last.

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In-reply-to » The original twt is unavailable. It may have been edited or deleted, or is from an unknown or muted feed.

@prologic@twtxt.net You more or less need a data center to run one of these adequately (well, train…you can run a trained one with a little less hardware). I think that’s the idea–no one can run them locally, they have to rent them (and we know how much SaaS companies and VCs love the rental model of computing).

There’s a lot of promising research-grade work being done right now to produce models that can be run on a human-scale (not data-center-scale) computing setup. I suspect those will become more commonly deployed in the next few years.

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**Polluter interests have no place in #COP28, when it is so obvious that they are part of the problem and not the solution.

@TimmermansEU must see this and act accordingly, or Europe’s presence in the COP runs the risk as being seen as a farce.**
Polluter interests have no place in #COP28, when it is so obvious that they are part of the problem and not the solution.

@TimmermansEU must see this and act accordingly, or … ⌘ Read more

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Addressing GitHub’s recent availability issues
GitHub recently experienced several availability incidents, both long running and shorter duration. We have since mitigated these incidents and all systems are now operating normally. Read on for more details about what caused these incidents and what we’re doing to mitigate in the future. ⌘ Read more

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