derfurth
derfurth on Hacker News
I was confused also, I use my Yubikey a passkey, so I did not get the rant.
Yubikeys can be used as a device-bound passkey, that the FIDO2 thing.
Now software managed passkeys are also a thing and can be stored in a (good?) old password manager, of course this is less secure and could be disallowed in the future.
Thus the rant is about people without dedicated hardware keys that would have to use things like device-bound passkeys their OS instead of their password manager.
Given that I burn through 2 x $200 subscriptions, I really hope Sol 6.1 is indeed as good as Astra (￣ー￣；
Yes, Astra will have its API price halved while the $200 plan subscribers will have the same usage as before.
It was the case in France too, it was called Bloctel; you just had to register your phone number and telemarketing companies had a legal obligation to look it up and not call you.
So it worked for a time, legit companies stoped calling; however most people didn't knew about Bloctel as it was little advertised.
Meanwhile, spam calls turned into scam calls, and a real issue especially with the elderly.
So I think that banning all unsolicited calling kills two birds with one stone, spam becomes illegal and scams as a consequence becomes easier to spot as there are no more unsolicited calls.
Yes it’s very codebase dependent, and changes over model versions. In my case codex was so bad, until it suddenly became better than Opus at 5.5, which surprised me. I am sure it can be the inverse for some codebases.
The way I keep an eye on model performance is alternating between models for code review. It shows how much the model understands the codebase without disrupting my workflow.
One could make the case that being SotA in 2026 is very costly and not that important for being SotA in 2030 if much more efficient models indeed happens.
That's an interesting take, however there is no ongoing maintenance related to local models, maybe the only effort is giving more capable machines to the workforce; but yeah I can see how it might feel like a barrier.
In my experience performance is about the same as native on mobile. On desktop I cannot compare as I thankfully never had to make cross platform desktop apps using native platform SDKs, but Flutter is doing fine. I am a working on a non trivial desktop app, and I am pretty happy about it.
Hopefully the desktop story is going improve as Canonical is now leading the Flutter desktop side.
To me the issue is that ad vendors in the app knows what you read, the NYT have over 300 vendors listed in their privacy section, the Economist about 80. But if you refuse in the NYT they nag you over and over again for accepting cookies.
It’s crazy not to have privacy reading a magazine.
I had the experts write markdown files that contained the rules looked somewhat like:
## 1A Rule name
Some prose explaining the rules liking to official documentation.
``` if municipality and inhabitants > 10000 then functionA else functionB ```
Then a trivial parser would extract the rules, the DSL was then handled by Lark[1]. So pretty simple, but it made collaborating with experts easier as simulated results would also output some markdown they could read.
1. https://lark-parser.readthedocs.io/en/stable/
Having worked with domain experts I concur on the difficult time they have expressing the rules of their domains.
Once I built a little domain-specific language for them, that was tested against old jobs to see if they contradicted the past; it was a nifty project and since then I am convinced that DSLs are underrated as a way to encode expertise.
I am wondering how much the "perfect alternative then it will prevail" still holds given the amount of money spent on marketing by infrastructure companies, for example Vercel that have an interest in promoting Next.
Plugins are often to blame, I had some recurring issues with the full IntelliJ when opening multiple instances at the same time. I switched to Webstorm without any plugins for light editing without all plugins loaded, I have around 5 instances opened at all times without any issues on an old M1 Max
Yes plus there is lot of confusion; the author is citing ePrivacy and GDPR that are about PIIs, not at all about consenting to an install.
It would be great, however the title is misleading: the only announcement regarding linux desktop is that the DINUM - a relatively small but perhaps influential government agency pledges to leave Windows.
I believe the largest Linux Desktop initiative in France is GendBuntu[1] for the National Gendarmerie
[1]https://en.wikipedia.org/wiki/GendBuntu
In my experience the approach matters a lot, I recently implemented Otel with Claude Code in a medium sized ~200k loc project:
- initially it wasn't working, plenty of parent/child relationships problems like described in the post
- so I designed a thin a wrapper and used sealed classes for events instead of dynamic spans + some light documentation
It took me like a day to implement tracing on the existing codebase, and for new features it works out of the box using the documentation.
At the end of the day, leveraging typing + documentation dramatically constrains LLMs to do a better job
I had issues in the beginning, now it works fine, Claude is using it all the time to find things in my codebase.
Thanks for the tip. I was dubious, I tried GPT 5.2 for a start on a large plan and it was way better than reviewing it with Claude itself or Gemini. I then used it to help me with feature I was reviewing, it caught real discrepancies between the plan and the actual integration!