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The same for South Africa, and according to user reports some other countries too: https://downforeveryoneorjustme.com/hacker-news

US VPN works, though.

edit: Seems to be resolved.


> In a year from now

You can get a taste of this already.

While they still call it a prototype/beta, Sentry's MCP server [0] is a model for others to follow when it comes to convenience and usefulness.

Remote-first with OAuth. The biggest hurdle to using it as-is at the moment, is that most clients don't natively support OAuth yet, so often you'll rely on a local proxy server, like mcp-remote [1], to handle auth. Clients will catch up.

[0] https://mcp.sentry.dev/

[1] https://github.com/geelen/mcp-remote


The step after that is paid access to any apis.


This is the most likely explanation.

I mean, sure, these characters could be used to help estimate the likelihood text was generated (because human writers might be less likely to add proper non-breaking spaces), but I doubt these are watermarks.


Real-time text output à la Apple Dictation with the accuracy of Whisper is something I've been looking for recently - I'll definitely give Aqua a spin.

MacWhisper [0] (the app I settled on) is conspicuously missing from your benchmarks [1]. How does it compare?

[0]: https://goodsnooze.gumroad.com/l/macwhisper

[1]: https://withaqua.com/blog/benchmark-nov-2024


We're more accurate and much faster than Mac Whisper, even their strongest model (Whisper Cpp Large V3).

For that benchmarking table, you can use Whisper Large V3 as a stand-in for Mac Whisper and Super Whisper accuracy.


I've been using Superwhisperapp for over a year and I get nothing like the error level your comparison table suggests. Which model were you using with it?

Aqua looks good and I will be testing it, but I do like that with superwhisper nothing leaves my computer unless I add AI integrations.


Thanks for writing this up!

> Filtering with vector search may be harder than you expect.

I've only ever used it for a small proof of concept, but Qdrant is great at categorical filtering with HNSW.

https://qdrant.tech/articles/filtrable-hnsw/


Thanks for sharing! Do you have more details to share, e.g. did you just have a vector db, or did you have a main db as well?

In my research, Qdrant was also the top contender and I even created an account with them, but the need to sync two dbs put me off


Henri Prestes https://henriprestesp.com/

Elsa Bleda https://www.collater.al/en/elsa-bleda-photography/

But does it float used to feature generative art sometimes https://butdoesitfloat.com/


JSONPath-Plus is a widely used [0] JavaScript package to query JSON objects with the JSONPath query language.

Recent versions allow trivial RCE. [1]

[0] 800+ direct dependants https://www.npmjs.com/package/jsonpath-plus?activeTab=depend... [1] https://github.com/JSONPath-Plus/JSONPath/issues/226


I've never heard of combining metformin with the other two drugs. The naltrexone/bupropion combination is sold under the brand name Contrave. As with any weight loss drug, I recommend a healthy amount of scepticism. Contrave's history includes an initial FDA disapproval and two prematurely terminated studies, and the drug changed hands a couple of times.

https://en.wikipedia.org/wiki/Naltrexone/bupropion#History


I'm trying to understand why the odds would be different if Monty opened empty doors by chance versus on purpose.

Does it really change anything?


Yes.

If Monty opens the door by chance there are 3 equally likely cases: There's a 1/3 chance you picked the car and Monty shows you a goat, 1/3 chance you picked a goat and Monty shows you the other goat, 1/3 chance you picked a goat and Monty shows you a car. So if Monty shows you a goat you have equal probability of being in one of the first two cases.

If Monty doesn't open the door by chance then he never shows you a car. So 2/3 of the time you picked a goat and Monty shows you the other goat.


Yup, the fact that you only have an advantage in switching when Monty "leaks information" in explicitly choosing _not_ to open a certain door as [1] pointed out, is likely the crux of what makes this unintuitive, since it is a very unusual prior.

[1] https://news.ycombinator.com/item?id=39514463


It changes. Monty's behaviour influenced by his knowledge were the car is. He is leaking information. It is a probabilistic leak: if you first picked by a chance the only door with a car, then Monty is free to open any of remaining doors.

But if you had chosen a door with a goat, then Monty has no choice at all, he must open the only door with a goat that you didn't pick. It is a leak.

From other hand if Monty picked a door by random, he would not leak his secret, but he might open a door with the car accidentally.


> but he might open a door with the car accidentally.

Yes, but the fact that the problems never mention this possibility makes it pretty clear to me that, from the contestant's perspective, it is guaranteed that this will not happen. The original problem even mentions that Monty Hall knows what's behind the doors, which gives a clear idea of how this guarantee is implemented (versus, say, the contestant's memory being wiped and the game reset every time a car is revealed).

The language of the problem is still ambiguous, of course, because all human language is ambiguous. It could be that the car is a Hot Wheels car and the goat is actually a more valuable prize. We could quibble endlessly about the ambiguity of the problem statement, but I personally find the mathematical problem of the traditional intended interpretation more interesting.


Yes, it does.

You had a 1/1000 chance of picking the right door at once.

Monty had a 1/1000 chance of opening only empty doors.

He had a 998/1000 chance of opening a door to a car, but that didn't happen.

So it's either of the other two cases, with equal probabilities.

If he used his knowledge to never open a car, the 998/1000 case wouldn't exist, and there would be a 999/1000 chance that the door he left unopened had the car.


The difference is if Monty has a chance to accidentally open the door with the car.



Also 4.1.13, 4.0.13, and 3.5.17 (despite the fact the latter two branches are end-of-life)


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