Congrats, this looks very cool! I haven't tested it yet, but is it possible to make it work offline? I'd prefer devices running unsupported or unmaintained operating systems to avoid Internet access altogether.
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It's a great guide that is necessary because the documentation of Claude code is so lacking. It's a shame really, trillions of dollars, but not one man hour to make an agent on the ci to write the doc and a pr. It frustrates me, it has been like that for months, it's like nobody cares or find this normal.
Interesting article, but MBTI is not just contested, the concensus since the 90s is that MBTI is pseudoscience [1][2][3][4][5], so it's nearly 40 years.
Would have been interesting to test against the Big five instead !
Europe progressively restricting ASML tech for the US may be the real bazooka, albeit the highly enriched uranium grade one. Would that make Trump behave a little bit more responsibly ? As those trains of thought surfaces more and more, all i can think of is a new global technological cold war.
Very good point on using local ai to avoid data centers costs.
Running AI models on local hardware was exploratory at first, and if it's so easy today it's thanks to open source. It's a little bit coincidental that we have this today, and that mainstream hardware have this capability. The fact that a phone can run very small models is exploratory or some kind of marketing opportunity at best.
Why would hardware company ships cards with more AI capabilites (like more VRAM) in the foreseable future ? On what ground does the marketing for on device AI will keep generating interest ? For something as important, it's very uncertain. But above all, it should not depends on these brittle justifications.
Showing good will in distribution and research prowess today is positive communication, but it can be exactly the oppositite if/when an attack using those small models will reach a high value target.
For China the cultural difference is so huge, it's difficult to say. I would think they first and foremost need to show to evryone inside and outside of China that they match american models. Second, i would say that when americans prefer few very powerfull companies on the get go because they can leverage a lot of capital rapidly to industrialize, China will prefer leveraging a lot of smaller companies exploring a lot of things simultanously (so doing a lot of research), THEN creating legislation to let only the best (or a few) to survive effectively. In the end it's the same result (monopoly or oligopoly), but China may have a stronger core (research) and America may have stronger productive capital, that may be proved obsolete... In the long run, in either side it's a gamble, again.
For the mainstream audience, the sentiment around local ai today is the same that they had around open source a few decades ago. For a few products, some paid solutions were so much more advanced that open source were very often completely overlooked. Why bother ? And the like. Then we had captive SaaS and other plateforms and now it's obviously wrong for most of us.
The dependency we have with anthropic and openai for coding for instance is insane. Most accept it because either they don't care, or they just hope chinese will never stop open weights. The business model of open weights is very new, include some power play between countries and labs, and move an absurd amount of money without any concrete oversight from most people.
It's a very dangerous gamble. Today incredible value is available for nearly everyone. But it may stop without any warning, for reason outside our control.
There's something quietly poetic about a thread on declining cognitive performance where one of the top comment is "here's a video if you don't want to read."
A little more context : in june 2024 at Computex, Tuxedo announced a possible christmas 2024 release [1]. A Qualcomm/Tuxedo collaboration was expected but did not materialize [2].
Care beat quality as a metric, because care is very inefficient to fake and very powerful when genuine.
How does the company providing the physical product or the service care ?
Most companies right now care about AI. Some integration are impressive. But where's real care about users ? It seems it's not the subject anymore. We may have tricked ourselves into beveling technology will resolve in itself all problems, and it's at its peak with AI. As engineers we can forget sometimes that technology is just a tool and its fine, but as a society it may leads us all in a bad direction.