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might be only among most popular. https://skills.sh/ is some data point.

Gemini 3 are great models but lacking a few things: - app expirience is atrocious, poor UX all over the place. A few examples: silly jumps when reading the text when the model starting to respond, slide-over view in iPad breaking request while Claude and ChatGPT working fine. - Google offer 2 choices: your data used for whatever they want or if you want privacy, the app expirience going even worse.


made this tool to press double control to start and another ctrl to stop which copies to the cliboard

https://github.com/elv1n/para-speak/


So cool man! Had to add couple fixes to be able to use it on mac. Love it!


Yes, the first run was nice - feels faster than 4.1 and did what Sonnet 4.5 struggled to execute properly.


Great seeing the price reduction. Opus historically was prices at 15/75, this one delivers at 5/25 which is close to Gemini 3 Pro. I hope Anthropic can afford increasing limits for the new Opus.


My experience with BAML was really good. For structured outputs, JSON schema is slow and sluggish while BAML performs well. Interestingly don't see much attention on HN, wondering is it hype of other SDKs or BAML doesn't deliver enough.


This is how Germany pushing towards digital sovereignty.


I’m glad not completely off with my bet 5 years ago that Rust will get larger chunk of the market. With the spread of AI Rust feels like a good candidate among Typescript and Python giants in a an era of coding assistant tools that needs a good nudge like Rust compiler.


As a counterpoint, Rust is one of the languages that AI is worst at writing - currently, at least.

Perhaps there could be a future where the compiler/checker will be able to integrate more closely with whichever agent is attempting to write Rust - more closely than the current paradigm, where a hapless Claude repeatedly bashes its head into the borrow checker to no avail.


I think I disagree with this sentiment. I’ve found AI to be poor at one-shotting rust but give it a short agentic loop running `cargo check` and it can often produce code more solid than that created with a dynamically typed language.


And when it does finally make something that works in Rust, its admittedly far more trustworthy than AI code in other languages. It does struggle a lot though.


> Rust is one of the languages that AI is worst at writing - currently, at least

Everyone makes similar statements about AI, Ai is currently bad at this or that. I find it quite good to write Rust. Can you give a concrete example of what AI failed to write for you


Not OP but it consistently says that logging JSON (specifically nested JSON while not having escaped strings) with the tracing crate is not possible or provides wrong solutions.

However this is doable, just under an experimental feature flag since 2022[1]. I created this repo[2] with a small blog post, hopefully the scrapers can pick it up :')

[1]https://github.com/tokio-rs/tracing/discussions/1906

[2]https://github.com/joswayski/tracing-valuable-example


I came to the same conclusion and am working out my way back to Europe. I find that France has such a nice quality of life. The only disadvantage for non-native speakers is the need to learn a new language,every country in Europe has its own language which still restrict mobility, and that's the biggest hurdle to becoming part of the community.


imo the ecosystem is weak for a local-first apps. I'm dreaming about e2e encrypted local-first database that would be easy ti plug in and store encrypted on the server. From the tooling perspective, WASM seems a good choice for most likely embracing through Rust.


Absolutely need something here This keeps coming up everywhere. Down below in this HN thread, r/programming LFW comments and the discord chat.

Database as a storage and sync layer makes a lot of sense but it's hard to pull of the encryption and device provisioning at that abstraction layer.


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