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Joined 1 year ago
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Cake day: September 25th, 2023

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  • the consumer variants have not seen revolutionairy improvements over the past years

    They probably haven’t tried a Quest 3 (overall trade off) or a Vision Pro (resolution and eye tracking, arguably not for consumers though based on the price… but compared to gaming PC + VR kit few years ago I’d say it is comparable) because even though IMHO the biggest revolution has been going from 3DoF to 6DoF recently, just the improvements (resolution, inside-out tracking, hand tracking, BT support with a ton of peripherals, etc) is actually providing an experience different enough that people who had doubt few years ago, say on a Valve Index, are reconsidering “just” based on form factor and thus convenience.






  • I bet, but that’s just my intuition, that being a linguist and an academic, again just by the very practice of having to study the tool that is language and writing about it, makes it a very different situation compared to “most people” who have never written essays since high school and I possess only a very basic understanding of grammar, etymology, etc. I bet the very topic and context makes his situation not normal.

    That does not mean he does not have cognitive capacities that most people might not have, but, again the practice itself most likely changed him, not solely “selected” him for the practice.


  • there’s just specialists, people who get lucky, people who work hard.

    I believe the point is to dispel myths about geniuses. I don’t know about Elsburg but wouldn’t you say Chomsky is both a specialist (linguist and politics) while being working very hard? He is 95y/o and STILL working affiliated to institutions like MIT or University of Arizona, publishing, answering interviews, writing reviews, etc.

    How I interpret it is that he is putting such amount efforts in such a concentrated fashion, probably even strategically, that it is “normal” that he is so good relatively to the vast majority of people. He did not became so knowledgeable by “just” being.






  • For years… well pretty much since I had a PC, I had a Windows partition. Why? Well because I (sadly) paid for the damn thing (damn OEM deals). Plus, I admit, sometimes they were things that only ran on Windows.

    For few years now though, everything, literally, from the latest tech gadget to playing games to VR, works on Linux.

    Few weeks ago I deleted the Windows partition. I didn’t have to. I didn’t boot on it for months. It didn’t affect me.

    Still, I now feel … safer, more relaxed, coherent.

    When I see shit like that, I feel even better!




  • Super, thanks again for taking the time to do so.

    I can’t remember if I shared this earlier but I’m jolting down notes on the topic in https://fabien.benetou.fr/Content/SelfHostingArtificialIntelligence so I do also invest time on the topic. Yet my results have also been… subpar so I’m asking as precisely as I can how others actually benefit from it. I’m tired of seeing posts with grand claims that, unlike you, only talk about the happy path in usage. Still, I’m digging not due to skepticism as much as trying to see what can actually be leveraged, not to say salvaged. So yes, genuine feedback like yours is quite precious.,

    I do seem to hear from you and others that to kickstart what would be a blank project and get going it can help. Also that for whatever is very recurrent AND popular, like common structures, it can help.

    My situation though is in prototyping where documentation is sparse, if even existent, and working examples are very rare. So far it’s been a bust quite often.

    Out of curiosity, which AI tools specifically do you use and do you pay for them?

    PS: you mention documentation is both cases, so I imagine it’s useful when it’s very structured and when the user can intuit most of how something works, closer to a clearly named API with arguments than explaining the architecture of the project.


  • Thanks for that, was quite interesting and I agree that completion too early (even… in general) can be distracting.

    I did mean about AI though, how you manage to integrate it in your workflow to “automate the boring parts” as I’m curious which parts are “boring” for you and which tools you actual use, and how, to solve the problem. How in particular you are able to estimate if it can be automated with AI, how long it might take, how often you are correct about that bet, how you store and possibly share past attempts to automate, etc.