431–440 of 512 posts
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No one is bitter lesson pilled anymore. Everyone is pivoting to neurosymbolic systems. It looks like Gary Marcus was right.
How is neurosymbolic not aligned with the bitter lesson? The bitter lesson is completely agnostic to architecture.
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Oh yeah its not the same, we were discussing Agentic AI
I worked at a software company that made screenshot of your screen every minute. I also worked a non-software white collar job where you were expected to work non-stop for 8 hours, except for an unpaid lunch break.
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No one is bitter lesson pilled anymore. Everyone is pivoting to neurosymbolic systems. It looks like Gary Marcus was right.
> No one is bitter lesson pilled anymore. Will the 10T parameter Mythos model be released this month or next month? They better soon because it is generally accepted that one of the reasons GPT 5.5 is better at hard tasks than Opus is because of its parameter size - and that Opus 4.8 remains competitive only be scaling test-time compute (see how many more tokens it uses than GPT 5.5) https://www.reddit.com/r/LLM/comm…
Anthropic also confirmed they will not release Mythos, only a "Mythos-class" model, whatever that means.
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DeepSeek is the fastest model in the benchmarks I've been doing ( https://swelljoe.com/post/will-it-mythos/ ). Followed not so closely by Opus 4.8 and even less closely by Gemini 3.5 Flash and GPT 5.5. I've been really impressed with it, so far. It's also among the best at doing the work, though still trailing the frontier models from Anthropic and OpenAI.
Nice benchmark, thanks! Which quants did you choose for the self hosted models?
I have another coming in a day or so for Gemma 4 with the 4-bit QAT version, which is very surprising (in a good way, Gemma 4 is impressive for this task).
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Flash is amazing if you know the domain really well. E.g. occasionally it makes the dumbest mistakes you've ever seen and can't correct them. However it's fairly rare, and if you know the domain really well, occasionally popping in the code and pushing it towards the correct solution takes like 20seconds or whatever. So the speed you can move with flash + high domain knowledge beats opus by a mile in my experience. I…
Yes, you don't need much domain knowledge to use Opus, but it's just way too expensive.
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Crap is fine if it gets the job done. I think software as an industry will change to more ephemeral construction.
What counts as “done” has a time component, so I think we’re going to see more of a spectrum where some businesses try to skimp as much as their market will allow but others will recognize that racking up technical debt is a long-term loss. Stuff like brochure sites will certainly be cut down but anything where there’s liability or long-term customer relationship is going to need to factor in quality as well.
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Maybe not being led by a sociopath also helps.
I'm pretty sure Xi is also a sociopath, but he differs from Trump in that he's competent. And maybe that's a good thing for American democracy--if we had a competent dictator who could manifest massive infrastructure projects maybe the pro-democracy backlash would be significantly attenuated?
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The example in the video was a generation of a dashboard app of some sort. I can do that with a "normal speed" Claude in a few minutes. The difference is a few minutes. This is compared to a few weeks in old school development time. I don't have a problem with taking it a little "slow" (as in - few minutes) and lending my thought to it rather than just going for fast generation and who knows what's inside. I get your…
I frequently tell agent to do something, wait ~10 min (which is just enough that I can't/don't want to start anything else), ask it to change something, wait a few minutes again, and so on. So I'm basically idle while waiting for agent, and it would be great if it was faster. It's like your compile times were ~10 min. Sure, it's not a huge deal, but it's sooo anoying
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You can dig deeper into problems with AI. For me, it supplements my knowledge in domains I don’t fully understand. It also helps me learn. So I can tackle problems I wouldn’t otherwise. I’m excited for ultrafast AI. It likely means less temptation to multi-thread and deeper flow in single sessions.
how do you know that it is actually suggesting the right thing?
For domains whete SoTA is constantly changing like AI, I use LLMs to aggregate and interact with my own research from trusted sources ala Karpathy LLM wiki.
I don’t generally trust everything I read on the internet whether its AI generated or not. I do my own research for the things that matter to me.