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tolugenius
searching PlanetScale…
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4 ms
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31.
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tolugenius
2mo ago
Where would you recommend I start with J.G.? I got into Baudrillard and have been meaning to go further down the train of thought.
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tolugenius
2mo ago
Funny, does anyone know the history of any of the markers? I'm just curious why this is global thing really.
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tolugenius
2mo ago
I know this study is focused in China but one thing I'd like to understand is the nuance in what kind of student is likely to always reach for ai for homework help as I think (especially in the US, can't speak for other countrie
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tolugenius
2mo ago
> pay living wages But have you thought about the poor shareholders? /s
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tolugenius
2mo ago
> "Could they (Anthropic) get a $2 trillion valuation, yeah they could and I just wonder if it would stay there over time" Can someone explain exactly how the market can in any sense support not one but two trillion dollar va
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tolugenius
2mo ago
The headline is very misleading, because the manager already knew the employee was tardy, had spoken with privately on it, and merely consulted the AI before the making the decision. Even moreso the AI was faulty on keeping track on attenda
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tolugenius
2mo ago
Maybe I missed this, but what are they considering a fact? More specifically, how dated (or recent) should be the answer be? Most of these questions read more like gotchas than trying to understand how and why the model got to it's spe
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tolugenius
2mo ago
Archive link ( https://archive.is/20260814213548/https://www.ft.com/content... ) Pretty short so I imagine more details and analysis are forthcoming.
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tolugenius
2mo ago
Achieve link ( https://archive.is/20260813145232/https://www.economist.com/... ) Maybe I read it wrong but it seems the case being made is to overhaul the current NSF...with a different NSF? Like I'm
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tolugenius
2mo ago
I wish the author could have made more concrete examples on this. I guess for me what's more revealing is more recently, the ease to which the leagues (I mainly follow basketball and soccer, but this probably true for many) adopted par
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tolugenius
2mo ago
> In this case, we’re just going to have to hope that this time we make the right choices, for no other reason than that they’re right. I'm more curious what could be a right choice, and more importantly who is the "we" in
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tolugenius
2mo ago
> Garg acknowledges he’s “hard-nosed” and the famous Zoom layoffs severely damaged the company’s reputation — a mistake he knows will continue to haunt him. But as criticized as Garg has been for placing near-impossible demands on the co
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tolugenius
2mo ago
more of a political unifier vs social one, I should clarify on that.
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tolugenius
2mo ago
Really interesting! I actually use freecad so I'm use to that layer of the process but I'll check this out. Also good to see the work being done in modeling software these days
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tolugenius
2mo ago
Can someone in the UK explained how the country has fared with multiple PMs since Borris Johnson? My read as an outsider is it would take another brexit exit (a singular, definable political question that can cleanly classified in a binary
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tolugenius
2mo ago
Part of the cynic in me just wants to ask "why not make a better harness by default?" The other cynic in me knows I'm about to see a hundred post on 'HOW TO 10X CLAUDE" from the ai bros and I'm already tired. I
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tolugenius
2mo ago
I guess I'm curious from your perspective what and why makes the tech from being commercially viable, and the concerns of big players adopting this (which was always going to happen I imagine, but when shapes a lot of the future of the
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tolugenius
2mo ago
interesting, thanks for the reply.
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tolugenius
2mo ago
I guess someone who has used a search agent (or a dedicated subagent) can speak when I'd reach for a tool like this vs either just 1) a smaller general model or 2) a non-llm approach to the problem? Like it's interesting I'm
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tolugenius
2mo ago
Love this writeup. The temu analogy is best to describe what is going on beyond just what llms have done to software. What's closer to question is temu could only exist in the way it did (it's fast rise mainly) because of the work
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tolugenius
2mo ago
Similarly this reminds of Target's surveillance system, which is loved and adopted by police and federal agencies ( https://unicornriot.ninja/21st-century-jim-crow-a-series/ ). Honestly it's one of the more tec
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tolugenius
2mo ago
Yes but has the author realized maybe the models are simply acting in the best interest for increasing shareholder value? /s
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tolugenius
2mo ago
> For example, if we ask a model for the probability P(A) and another instance of the same model for the probability P(A&B), do the reported probabilities satisfy P(A) ≥ P(A&B)? So that's it? Are you saying they compressed r
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tolugenius
2mo ago
Was just about to ask on data sourcing, I imagine yfinance is used but can't really tell for anything else (like for prediction markets or news data).
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tolugenius
2mo ago
Thanks!
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tolugenius
2mo ago
Fascinating write up. I've only ever learned of how chess, go, and more strategy like games had a lot of focus in early ML work so it's interesting to see checkers had a role as well.
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tolugenius
2mo ago
I'll definitely read it, if anyone knows of other microhistories like it I'd welcome the recommendations, I enjoy a good biography (auto or not) of people and places.
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tolugenius
2mo ago
I mean I can't speak too much on what best practices always ends up looking like (the gap between law and reality is always there) but I think the issue with agentic engineering is crucially the fact it compresses the time and effort i
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tolugenius
2mo ago
Genuinely I'm more curious what amount (or lack of) governance their is in this version of gemini for health vs asking gemini directly.
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tolugenius
2mo ago
Nice deep dive, I always wondered how copilot worked compared to similar tools. I'm shocked at the lack of of a rule for env files, I at least thought with a tool more integrated with github as a whole that would be a default but alas.
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