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rynn

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投稿

Claude Code's OAuth Flow Broken When Pasting

github.com
1 ポイント·投稿者 rynn·3 か月前·1 コメント

コメント

rynn
·3 か月前·議論
If you woke up and found you couldn't log into to anything that required a code, you're not alone.
rynn
·4 か月前·議論
API almost there too
rynn
·5 か月前·議論
Amazing utility that just works. Windows version of ‘locate’

IIRC it loads the FS index into memory and queries directly off of it. If a simple metadata search is enough for you I don’t think you can do better
rynn
·6 か月前·議論
9 years into transformers and only a couple years into highly useful LLMs I think the jury is still out. It certainly seems possible that some day we'll have the equivalent of an EDR or firewall, as we do for viruses and network security.

Not perfect, but good enough that we continue to use the software and networks that are open enough that they require them.
rynn
·7 か月前·議論
Awesome, in that case, I'll check it out!
rynn
·7 か月前·議論
>What is keeping Google/Amazon/Microsoft from licensing Groq’s tech?

Nothing, but they likely can't implement it as well as they could had they bought Groq first.
rynn
·7 か月前·議論
> licensing with BSL when basically every month the AI world is changing is not a smart decision

This turned me off as well. Especially with no published pricing and a link to a site that is not about this product.

At minimum, publish pricing.
rynn
·7 か月前·議論
Where spies == logging and they tell you, and provide clear opt out instructions
rynn
·7 か月前·議論
> I think the DGX Spark will likely underperform the M4 from what I've read.

For the DGX benchmarks I found, the Spark was mostly beating the M4. It wasn't cut and dry.
rynn
·7 か月前·議論
> Please do give that a try and report back the prefill and decode speed.

M4 Max here w/ 128GB RAM. Can confirm this is the bottleneck.

https://pastebin.com/2wJvWDEH

I weighed about a DGX Spark but thought the M4 would be competitive with equal RAM. Not so much.
rynn
·7 か月前·議論
gpt-5.2 codex isn't available in the API yet.

If you want to be picky they could've compared it against gpt-5 pro gpt-5.2 gpt-5.1 gpt-5.1-codex-max gpt-5.2 pro

all depending on when they ran benchmarks (unless, of course, they are simply copying OAI's marketing).

At some point it's enough to give OAI a fair shot and let OAI come out with their own PR, which they doubtlessly will.
rynn
·7 か月前·議論
What are you working on that you’ve had such great success with gpt-oss?

I didn’t try it long because I got frustrated waiting for it to spit out wrong answers.

But I’m open to trying again.
rynn
·7 か月前·議論
It will be like the rest of computing, some things will move to the edge and others stay on the cloud.

Best choice will depend on use cases.
rynn
·7 か月前·議論
Where did you get all the data? The justice.gov site didn’t have a mass download option that I could find.
rynn
·7 か月前·議論
> I recognize this is a hard concept to understand for folks on this site, but the average joe signing up for a VPN doesn't even remotely understand what they are doing and why.

Really this is the answer to half of the comments on this thread.
rynn
·7 か月前·議論
> Is there any real-life situation in which this matters, though?

You’d be shocked at the number of people in regulated industries that thinks a VPN inherently makes them more secure. If you think your traffic exits in the US and it exits in Canada — or really anywhere that isn’t the US — that can cause problems with compliance, and possibly data domicile promises made to clients and regulators.

At minimum, not being able to rely on the provider that you are routing your client’s data through is a big deal.
rynn
·7 か月前·議論
Do you use Tor for everything? How do you deal with the latency?
rynn
·7 か月前·議論
Nadella has to have his own custom agents. It isn't even possible for an enterprise like MSFT to not have custom agents that are still remotely useful.

So, his experience with Copilot agents != Average Customer's experience
rynn
·8 か月前·議論
@apwell23 while the author didn’t say how s/he measured QA, creating the QA process was literally the first bullet.
rynn
·8 か月前·議論
It’s easy to underestimate the amount of testing “just” prompt/context engineering takes to get above average results.

And then you need to see what variations work best with different models.

My POCs for personal AI projects take time to get this right. It’s not like the API calls are the hard portion of the software.