Zababa

5 ms·

1.
by Zababa 2mo ago
This assumes production of food is the bottleneck rather than distribution. If distribution is actually the bottleneck, overstocked food is not a measure of excess in society.
2.
by Zababa 2mo ago
>At their very core, Large Language Models' costs run contrary to basically every model of selling software. >Consumers and enterprises alike have been trained to pay a monthly fee for a service, and while these services might ha
3.
by Zababa 2mo ago
Interesting how everyone's favorite language seems to be even better in LLM era, almost like passion, skill level and having LLMs matters more than the language.
4.
by Zababa 2mo ago
Maybe this one will even be successful!
5.
by Zababa 2mo ago
>That decomposition (perfect on templates, regressed on novelty) is the signature of “scaffold-then-internalize” training on genre-specific data, not a general gain in interactive abstract reasoning. They're smuggling a claim that b
6.
by Zababa 2mo ago
>The lack of details to me means this was an intentional marketing ploy to try and demonstrate the power of their models to show their technology can compete with the likes of Anthropic and DeepMind. DeepMind hasn't been on the fron
7.
by Zababa 2mo ago
I think the way you interpret the null result is downstream of considering creatine as "a supplement". You can make the null result say anything by changing your prior about creatine or supplements. That's the issue with prio
8.
by Zababa 2mo ago
Train station: :D :D :D <3 Train station, Japan: :D :D :D <3 Transit infrastructure is really cool
9.
by Zababa 2mo ago
The mix of humanizing the LLM, calling it "clanker" and being very aggressive towards it is really weird. I don't think it's a good habit to take, it feels like it could bleed into how you interact with people. Many inte
10.
by Zababa 2mo ago
There's also an alternative which is that token prices are already high, downtimes do exist (semi frequent on Claude) or are managed by serving degraded versions/quants (speculation that has never really be proven afaik) or reduci
11.
by Zababa 2mo ago
>Resets of the weekly quota for all users must be ludicrously expensive for these companies Why can't people see the alternative hypothesis, inference has huuuuuge margins?
12.
by Zababa 2mo ago
Interesting, good find! Yeah I may be wrong and this may be an error in the leaderboard. Weirdly it shows no reasoning cost and no reasoning tokens used, but for example here https://huggingface.co/datasets/arcprize&#x2
13.
by Zababa 2mo ago
I'm not referring to this paper, I'm referring to this leaderboard: https://arcprize.org/leaderboard . Set it to "arc agi 1", "base LLM" and you'll see deepseek at 57%. Submitted 2025-12-01
14.
by Zababa 2mo ago
DeepSeek V3.2 was tried without reasoning and it got 57% on ARC AGI 1. It's a 7 month model, so I'm pretty confident that base LLMs would be able to solve ARC AGI 1 without reasoning/CoT.
15.
by Zababa 2mo ago
Haven't tried Kimi K3 for now but there was a huge difference between GPT 5.6/Fable and GLM 5.2/Kimi K2.7 that were previous frontier open models.
16.
by Zababa 2mo ago
The thing about not much difference between models and the harness making them deterministic and useful is wrong. Also models have different strengths and weaknesses and some are better at almost everything by a large margin compared to oth
17.
by Zababa 2mo ago
This is true, but there's a big difference between saying "15-20 hours battery life, which is 11000 5-seconds activations, which last you a few years with 10 5-seconds activation a day" and "years of battery (btw in smal
18.
by Zababa 2mo ago
I don't really care about the environmental consciousness, my issue is that presenting a product with a battery that lasts for years when it actually lasts 15 to 20 hours makes me feel like I'm being lied to.
19.
by Zababa 2mo ago
"don't reinvent the wheel" isn't a law of physics and I think is mostly said by people that never designed anything with wheels.
20.
by Zababa 2mo ago
I think I'd typify it as "ARC-AGI doesn't matter" more than "harness matters". Or maybe "harness matters for some very specific tasks".
21.
by Zababa 2mo ago
"Battery that lasts for years" being actually 12-15 hours of recording is a huge turn off honestly. >How long does the battery last? >Roughly 12 to 15 hours of recording. On average, I use it 10-20 times per day to record 3-
22.
by Zababa 2mo ago
Considering progress in the rest of computing stuff (RAM, CPUs, storage) is kind of "linear"/exponential it sure looks like it's an engineering gap and we're on the right track. GPT 3 was 175B parameters and is toda
23.
by Zababa 2mo ago
Yeah, in an ideal world where I'm the ideal me I wouldn't use my phone in my bed, but I haven't found a way to stop doing that which I can stick with, so I try to limit the damage. Part of what I wanted to say is, there is co
24.
by Zababa 2mo ago
Hard to answer precisely without knowing what conventional wisdom didn't stick. The common levers I know and that worked at least a bit for me: - start by having a fixed waking time, and get sunlight or bright light quickly after wakin
25.
by Zababa 2mo ago
I've tried to like Go with HTMX, but the big issue was always Go templates. I feel like if there was something like JSX/TSX but for Go, it would be a way better dev experience, but right now it's mostly a pain. Templ tries to
26.
by Zababa 2mo ago
There is value in splitting things but there is also a cost. You have to train the specialized model, for that you have to know your use case, you have to hope the use case is going to be stable over time, you then have to see if you can re
27.
by Zababa 2mo ago
That makes sense. It seems a bit too slow to be really useful, as in, I feel like you'd want either to replay the audio as much as you want, or you can kind of listen passively/actively to something simple and slow.
28.
by Zababa 2mo ago
Copy-pasting "ずんだもん" into Google gives you everything you want with the sidebar info, copy pasting "zundamon" into Google gives the same Wikipedia link on the sidebar. "Popular TTS character called" is enough t
29.
by Zababa 2mo ago
This looks good and I like the idea but I don't get what the "practice" is here?
30.
by Zababa 2mo ago
Fungible/non fungible is a good alternative, and maybe the technically correct word. But I think in that case it doesn't apply and the change the author did is better.

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