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This entire article is the dude jerking himself off about how smart he is with amazing anecdotes like a third grade spelling bee.


> I'd say otherwise - it's a reach out to have a relationship.

They HAD a relationship: it was 20 years of volunteer work. That relationship was broken by Mozilla's actions.


Question: What makes LLMs well-suited for the task of poker compared to other approaches?


They are not, and that's the whole point of doing this research. If we can build good benchmark, models developers would have nice goal.


I think the post was just really bad, myself.


I have a better idea: random.randint(1,10)


That requires tool use or some similar specific action at inference time.

The technique I suggested would, I think, work on existing model inference methods. The ability already exists in the architecture. It's just a training adjustment to produce the parameters required to do so.


You absolutely need to get an accessibility professional (one you pay, not try to crowdsource free labor) to review your site. Your site excludes disabled people from participating.


Hi OP here. Thank you for the feedback, which specific issues jump out at you?


That's overstating the problem, but accessibility is very important.


That was the joke.


Thanks <3


Yeah, like, there's straight-up photos of penises and vaginas and naked people of all sorts on Wikipedia. It absolutely should be considered a NSFW app.


Would you agree the Wikipedia app should be marked NSFW? It also contains a whole lot of objectionable stuff, often with pictures.


You went from "the justification makes sense" to "actually they can do whatever they want neener neener" real fast.


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