docheinestages

4 ms·

1.
by docheinestages 5d ago
The premise of the article is that the Model Context Protocol (spelling it out to emphasize the core purpose) is inefficient in its current form. We can agree to that. Now, does it mean agents don't need a protocol to connect to a serv
2.
by docheinestages 6d ago
If you don't truly enjoy what you do, you'll get crushed by the pressure. Don't try to impress people. If you feel pressure, take a step back, reflect, and think about what's important to you. Then communicate this clear
3.
by docheinestages 6d ago
It really depends on the use case, which the author didn't hint to (sure, they say procedurally generating text, but exactly how and for what reason?). But whatever it is, I assume it needs to be accurate to some degree, and having a d
4.
by docheinestages 6d ago
My first impression is that it's not so good at following prompt directions. I asked it to place a 3D text made of glass in a particular city. It instead gave me a broken 3D text on a white background. Maybe with different seeds it get
5.
by docheinestages 6d ago
This is exactly what language models are good at. It's not a problem that could be solved purely deterministically, because it requires knowledge of the actual pronunciation in that particular language or dialect. There can be so many
6.
by docheinestages 7d ago
I feel like ChatGPT Images 2.5 is another step up in terms of quality of designs. But it still needs to be told very specifically what to generate. A generic output is in turn due to a generic input.
7.
by docheinestages 9d ago
Exactly. If humans were good at writing proofs, they'd just write the code.
8.
by docheinestages 9d ago
Unless the proofs themselves are defined with natural language, I don't see them being adopted by humans. It takes a high cognitive load to read let alone write a proof.
9.
by docheinestages 11d ago
Such a shame to see Mozilla cut corners like this
10.
by docheinestages 11d ago
Why is this so cryptic to read?
11.
by docheinestages 12d ago
It's hard to believe that a model can nowadays solve mathematical challenges and break ciphers, yet it fails to do trivial tasks involving critical thinking, having taste, and not just running around in circles.
12.
by docheinestages 16d ago
Nice try, Dario.
13.
by docheinestages 16d ago
Same here.
14.
by docheinestages 19d ago
A dead giveaway that I think it's AI-made (not necessarily a con) is the complexity of the UI and redundant information. Things like the green dot paired with "interface is up". It looks polished though.
15.
by docheinestages 23d ago
Now I'm starting to doubt the credibility of Artificial Analysis.
16.
by docheinestages 23d ago
My gut feeling tells me it has something to do with Cloudflare. Along with AWS, they're two of the main suspects in such incidents.
17.
by docheinestages 23d ago
All I see is slop.
18.
by docheinestages 24d ago
Is this a compressed and retrained version of GLM-5.2?
19.
by docheinestages 24d ago
I mean, I'm interested to know if the frontier models also get to see all questions at once. Then it's more fair game than if they just see one question at a time.
20.
by docheinestages 25d ago
It's what happens when you don't do market research.
21.
by docheinestages 25d ago
Isn't this cheating? Or rather, are frontier agents only looking at one question at a time? If I understand correctly, you're looking at all the examples of the exam questions. If the exam was adjusted so that you can only look at
22.
by docheinestages 26d ago
I don't think writing is an "AI-complete" problem. It's just that the models are inefficient at it right now, due to training and/or architecture. Good writing requires thinking, reflection, and doing multiple passe
23.
by docheinestages 26d ago
Memory is not necessarily a good thing. What we need is a combination of sufficiently large context windows (10-100 million tokens) along with curate, bloat-free data.
24.
by docheinestages 26d ago
> How can I judge what is a good memory to store? How can I avoid filling my memory with crap? > This is a common fear with memory systems but doesn't really apply to memoryfields. Irrelevant material is simply never surfaced by
25.
by docheinestages 29d ago
Looks like the repo teleported.
26.
by docheinestages 1mo ago
This is only a problem because people keep using X. Just stop.
27.
by docheinestages 1mo ago
But did it produce anything meaningful? If so, show me.
28.
by docheinestages 1mo ago
Oh fantastic! It was already subpar and they want to make it even worse. One day we'll look back at history and see how Anthropic went down.
29.
by docheinestages 1mo ago
Kudos to Kagi!
30.
by docheinestages 1mo ago
Would it work with "giggity" too?

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