

- Donald Trump, June 15 2020




Who could it be???


No, it does matter. Two things can be wrong. But it is right that the player is not punished for a baseless call or for your other unrelated grievances that have nothing to do with what happened on the field.


if a drunk driver kills a kid
Bit of a false equivalency. Two players trying to play the ball and walking into each other is objectively not a foul. Extremely disingenuous to call it a “tackle”. Making the choice to get behind the wheel while drunk is not the same thing at all


I mean that red card was actually total bullshit.


Spoken in old Jeep: There’s supposed to be a washer and screw combo for the battery?


For AMD, better than windows


That’s… that’s literally the point they are making… did you click the link and read?


Traitors would mean they were ever on your side. Welcome to capitalism, bud. They’ve always been on the side of maximum profit, like all other corporations.


Maybe the statistical approximate just coincidentally lined up with the actual solution?
Yes, right, and this can happen. I didn’t say they are a bad approximation. LLMs may be the most advanced and sophisticated statistical models ever created (if there are other examples of statistical models that are more sophisticated, I would love to learn about them). But given what an LLM actually objectively is, a statistical model of the next token to follow from a sample of language, what other explanation could there be?
We need to keep in mind what the tools that we are working with actually are.
As a code generator, they can produce great results, especially simple stuff like generating a script or some function implementation. Once you get to software engineering tasks like designing system architecture and designing maintainable code, it starts to fall apart really fast. You end up doing all of the work for it in natural language and just using the LLM for a usecase that it is actually great for: translation, from detailed spec to code.


Especially because a statistical model of language has very limited valid usecases. Many tasks that people use LLM for do not make any sense and cannot be accomplished by a statistical model of language. It can only output a statistical approximate of what a solution to the task might look like, not an actual solution.


Enabling XMP took my machine from roughly one-third speed back to normal.
Huge red flag. XMP is not designed for use with memory-intense workloads like running LLMs.


I would if it was $499


What the fuck was wrong with my eyes before, oh wow. Yeah. What??? Thank you


No, I care


This isn’t real, right? Right???


Again, not “agents”. Conventional scrapers and crawlers to build datasets for training AI is the culprit.



And the source is Cloudflare, who’s business model depends on the existence of bots, scrapers, DDoSers, and AI agent nuissances


Its interesting that we are rebranding conventional web scrapers and bots to “AI Agents”


Okay, so right, they still won’t last that long 👍 We’re saying the same thing and making the same points.