isomorphic_duck

5 ms·

1.
Automated Researchers Can Reliably Mitigate Alignment Failures(alignment.anthropic.com)
1 points by isomorphic_duck 19d ago|0 comments
2.
by isomorphic_duck 1mo ago
Not all points being collinear does NOT mean that all 3-tuples of points are non-collinear! The hypothesis of the theorem is the former. And what it proves is that there is at least one such 3-tuple.
3.
by isomorphic_duck 2mo ago
A key point I feel that’s missing from the discourse is that alignment/safety is basically an impossible problem as of now. Even the “guardrails” that these closed-weights frontier labs set in are laughably primitive which can provably
4.
by isomorphic_duck 2mo ago
how does biology depend on "dogma and mysticism"? I am really curious - a Google search yielded nothing much relevant.
5.
Why Do I Keep Meeting Programmers with Strong Opinions on Foundations?(reddit.com)
3 points by isomorphic_duck 2mo ago|0 comments
6.
by isomorphic_duck 2mo ago
Why did you make a new account to spam AI comments?
7.
by isomorphic_duck 2mo ago
I didn’t think I would see this take on HN of all places. You can’t appreciate Higher Topos Theory before spending a decade’s worth of effort in pure math - does that make much of Modern Algebraic Geometry “garbage”?
8.
by isomorphic_duck 3mo ago
It might be more helpful to think of it as small changes in “genome-vector” taking place across generations of the species with the filter of it being not bad enough to cause extinction of the bespoke variation, as opposed to evolving towar
9.
by isomorphic_duck 3mo ago
> I've had Claude fuck over clean well documented code-bases for no reason How exactly do you define "fucking over", and why do you suspect this "fucking" was done as a result of a faulty trigger as opposed to th
10.
by isomorphic_duck 3mo ago
I am not an astrophysicist, but I have read that the thick layer of ice is supposed to protect the miles-deep ocean against radiation, which might harbour life.
11.
by isomorphic_duck 3mo ago
Tangential, but really looking forward to what Europa Clipper[0] finds in its flybys. The delay in communication makes ambitious manoeuvres challenging - perhaps advances in AI (and by extension robotics) helps build much more autonomous sp
12.
by isomorphic_duck 3mo ago
We operate and think about subjects like Higher Topos Theory, Information Geometry and Algebraic Topology, which are several layers of abstractions removed from anything that can be termed as a skill “specialised to our survival”.
13.
by isomorphic_duck 3mo ago
You have to understand that the median human is terrible at (almost) everything. Humans, the only examples of general intelligence we know, are economically valuable precisely because they can train themselves to specialise at a (relatively
14.
by isomorphic_duck 3mo ago
If Claude Mythos and Fable 5 are the same underlying models just with different safeguards, I fail to see how TerminalBench has them at different scores.
15.
by isomorphic_duck 3mo ago
Continual Learning? Why is this even a question? Isn’t it a well-known glaring issue with the current models? They cannot learn/adapt to new skills (in any permanent sense) once they are deployed.
16.
Google set to lose two more AI researchers to Anthropic(bloomberg.com)
14 points by isomorphic_duck 3mo ago|5 comments
17.
by isomorphic_duck 3mo ago
No, the purpose was to create a (automated) test set in the first place. The author builds an LLM judge which can score the LLMs participating during test-time. That would be why the author used the strongest model (Opus 4,7 at the time) as
18.
by isomorphic_duck 3mo ago
My biggest gripe with the discourse around AI, especially by programmers with hubris about Machine Learning, is the idea that LLMs can’t come up with “novel solutions”. They can, and they have. CoT[0] is how LLMs can output tokens in “reaso
19.
by isomorphic_duck 3mo ago
Also 100, which speaks to the infinite demand of software - We will never run out of things to program as long as there is a single program around.
20.
by isomorphic_duck 3mo ago
I can’t imagining investing into these frontier labs for the simple reason that Open Source is very likely to catch up in a relatively short period of time. I don’t see how OpenAI/Anthropic could then continue to serve their models wit
21.
by isomorphic_duck 4mo ago
I would say continual learning is the big missing piece that someone even from 2002 would realise.
22.
by isomorphic_duck 4mo ago
It remains to be seen if LLMs would do any good in the "theory-building" heavy fields of math. They have certainly proven themselves in branches of math where the progress is verifiable, but fields like AG commonly have papers tha