Yep, react is indeed a library. Part of the confusion comes from a fact that
react community was keen to hijack "react" name and slap it onto their own
projects, for example there were react router, react query, react table, etc.,
so one could have get a feeling that react was like full-fledged framework, while most
of these "react" projects were not affiliated with react the library in any way.
Afaik there is no proof Anthropic is profitable. This, and uv buyout by OpenAI only adds a risk to supply chains. In few years these companies can be overrun by open source models or startups delivering new hardware/software breakthrough in LLM. It is not like uv and bun are acquired by IBMs or Alphabets of today.
Wasn't it announced that Anthropic is having their first profitable quarter right now in Q2? From what I've personally seen it's all driven by enterprise adoption.
Open source/foreign models are already way cheaper and will work just fine for most use cases but a lot of businesses are already pretty locked in to Claude, and with enterprise costing $240 a year at a 20 seat minimum it's a pretty big investment to make and won't be worth migrating unless the gains are significant.
No, the same thing always happens. The community latches onto a new project where all the effort is spent chasing previous gains, then they get bought out, and over time the same pattern appears.
At this point our industry would benefit from public investment in open source in the form of grants rather than relying on corporate benefactors to not rat fuck the commons.
I use Tanstack in my projects. Last week when Tanstack got compromised, it was only my laziness that saved me -- was thinking about doing pnpm upgrade but got lazy and played some dota... Finished game was just going to pnpm upgrade, opened hacker news and boom! news hit.
Since then, I had set up libvirt/qemu based VM with another Linux running in it specifically for development. Now I run all of docker, kubernetes, IDE, pnpm, uv, etc in that VM and removed them from host. The only write capable secret VM has access to, is my passphrase protected ssh key, which I can quickly revoke from my Github account in case of compromise. Feels much safer now.
I use $20 plan on daily basis for more than a year now, and have yet to exhaust that limit. The plan includes $20 in api costs for non-Cursor premium models and $20 for Composer and Auto models provided by Cursor themselves.
That said, I am pretty old-fashioned coder and use LLM mostly to overcome the blank page problem, which means I review and often rewrite LLM output by hand and avoid prompt loops for a single task.
People who are aiming to not read code any more might find this $20 plan lacking for their needs, however for my needs it fits perfectly.
https://www.openpolicyagent.org/docs/policy-language
Not quite Prolog as they teach in universities, but its close descendant. Used for policy evaluation, e.g. to validate tree-structured datasets against arbitrary permission rule sets.
This is what usually happens with LLM assisted writing. Looking at other posts in author blog, they are as well likely written with help and guidance of LLM bot, and also bring feeling of incoherence when read.
I'd say this style predates LLM by millenia so it is not really invented by bots. To me it resembles the most the older religious texts and especially oral preaching. Some of attractors in current frontier models are likely coming from religious areas of knowledge, since this apocalyptic incoherence is found in so many texts today.
It is not that hard with small amount of pkgbuilds:
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