> As part of our ongoing engagement with the U.S. government, we previewed our plans and the models’ capabilities ahead of today’s launch. At their request, we are starting with a limited preview for a small group of trusted partners whose participation has been shared with the government, before releasing more broadly.
The clowns in the US administration can barely remain coherent from one sentence to the next.
Having them be the gatekeepers of technological progress in 2026 is fucking lame.
> First nobody sane want to give their domain IP to OpenAI/Anthropic. That's why local AI will eventually prevail and flourish because people who actually have some IP will have no problem to buy 10k+ EUR machine to run some pretty good models on it. However if your main job is just doing CRUD stuff, then you are screwed
Replace OpenAI/Anthropic with AWS and this is not too dissimilar to the arguments in 2009 about cloud providers.
It’s not that there's nobody for whom this is true, it’s just that there’s enough of everyone else to build an empire with.
- usagi, for tracking Claude usage in the macOS taskbar. Lots of these around, but I wanted one that wasn't buggy and constantly adding features: https://github.com/duggan/usagi
- RockstarNinja, for sharing Claude plans and sessions. Since it's a bit of a data hog signups are limited, but me and my cofounder use it all the time: https://rockstar.ninja
- TweetEmbed, for browsing an offline Twitter archive and getting self-contained HTML copy/paste-able cards: https://duggan.github.io/tweetembed/
- bewitch, a terminal based metrics collector and data visualization system: https://bewitch.dev/
Each one of these has been a great way to really push on automating build processes, see what Claude can do for automatic documentation (screen captures, etc), and trying to give a distinct visual identity. In my next project, I'm trying to de-LLMify the prose it generates by using my own blog posts and aggressively pruning and integrating into the prompt.
The biggest change has just been unlearning "cost". Stuff I've subconsciously shied away from since intuition built up over a career has given me a sense of how long things take that just isn't true anymore. Still learning!
> $200/month is already out of reach of the majority of the population.
1. You can build small applications with the $20/month sub, much more with the $100/month. Competition and technology improvements will inevitably improve the price to value ratio.
2. Cable sports subscriptions are in a similar price range. Expensive, but not exclusive to “the elites”.
> We're playing with a fire that catches and spreads so fast, by the time anyone realizes the forest is catching and starting to react, the entire forest is already well on the way to joining in the blaze.
I suspect this has been said in one form or another since the discovery of fire itself.
Very much on the same page as the author, I think AI is a phenomenal accelerant.
If you're going in the right direction, acceleration is very useful. It rewards those who know what they're doing, certainly. What's maybe being left out is that, over a large enough distribution, it's going to accelerate people who are accidentally going in the right direction, too.
Working on Manano (https://manano.ai), a way for tradespeople to make quotes and invoices using only WhatsApp.
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