maxnevermind

7 ms·

1.
by maxnevermind 3d ago
Would that help? It seems like Do not cheat is a new Do not hallucinate.
2.
by maxnevermind 8d ago
> ... AI models get extremely good at ... Many of those points assume LLMs will become amazing in many things very quickly like in a quantum leap, it doesn't seem reasonable to assume that imo. We are actually seeing a confirmation
3.
by maxnevermind 13d ago
It is a subset of something of a value to somebody else and enough so that they are willing to pay you for it, a product, a service. Preferably to pay enough to justify your spent time of course, maybe not right away but at least long term.
4.
by maxnevermind 13d ago
Maybe instead of creating cool stuff try to go and solve real problems? It seems to me that we are lacking in that department since all that LLM fuss has started 3 or so years ago.
5.
by maxnevermind 13d ago
Here we go, now all of that PR fear mongering from AI labs will backfire and they ruin it for everybody.
6.
by maxnevermind 14d ago
Just tried Gemini 3.8 Flash on these 2 consecutive prompts at gemini.google.com: 1 what is tesla cybercab plan to address legal implications of accident that will happen? who is going to be responsible for them when they happen? are they c
7.
by maxnevermind 14d ago
I think Insurance Claims Adjusters as a occupation was on decline for some time even before the latest boom in AI. Since 90s I believe the most of major Insurance companies shifted a strategy, claims are seen as a source of profit and adjus
8.
by maxnevermind 15d ago
> Funnily, none of that mattered. What mattered is that enough ordinary people on the street found it useful, both for personal and business reasons. Broad economic impact due to Internet boom in the the US came from 2 main categories: 1
9.
by maxnevermind 15d ago
> I disagree with this take. While LLMs themselves are currently unreliable, the work done in the math community on hooking up creative LLMs to reliable verifiers like Lean show that it’s possible to construct systems where the unreliab
10.
by maxnevermind 16d ago
> I feel like this is incredibly simplistic, and if you changed "LLM" to "computer" or "internet" and went back decades, it's highly likely you'd read the exact same takes in the newspaper back the
11.
by maxnevermind 16d ago
> there say species that function well in their ecological niches with significantly smaller cognitive capacities Yes, but LLMs are not animals, animals learn from experience and LLMs don't. Btw I meant bigger and bigger amount of d
12.
by maxnevermind 16d ago
> Someday, such as in 2040, there may be available, for every human being, the performance equivalent of 'a B300 GPU for contemporary LLMs'. What would this world be like? If we talk about just LLMs, given how things have been
13.
by maxnevermind 1mo ago
Why though, to AB test/see the impact of a price cut on a platform with multiple competitors?
14.
by maxnevermind 1mo ago
> I wonder how that happened? My explanation is - the technology is amazing and engineers admired it, but CEOs kept talking about an exponential curve while engineers on the ground started to notice signs of Gartner hype cycle curve.
15.
by maxnevermind 1mo ago
Given it is from "AI Engineer conference" that is expected, it is like TED talks of LLMs.
16.
by maxnevermind 1mo ago
> If you want to move faster with LLMs, you need to act like a manager and stop caring about what the LLM did. You just need to do the manual testing and make sure it works. Are you aware of any mid-large projects that went that path? Th
17.
by maxnevermind 1mo ago
> top developers outside ai labs will be spending 50k USD+ on inference I think it is more like top companies, not top developers, and the problem with developers in top companies was and is - absolute majority of them are not actually d
18.
by maxnevermind 1mo ago
> - "Why are we doing this here?" > They send you a link. It's a Claude conversation. LLMs spared my neck of the woods for now but is this really how PR review looks like these days for an average SWE or its just an exa
19.
by maxnevermind 2mo ago
> AI doesn't generate working products A little off the actual topic discussed in the article but I think this is why current AI cycle is over-hyped in terms of its broad impact on the economy. One of the most valuable thing, if not
20.
by maxnevermind 2mo ago
Why 2025 though? It didn't yet pass the test of time and there is not enough failure rate data on it. Toyotas(Lexus) do have serious quality issues too, rarely but that happens for certain models from time to time.
21.
by maxnevermind 2mo ago
> the agent happened to escape via a 0-day exploit from the package proxy cache to access the internet I have same familiarity with JFrog Artifactory(which they used in this case) and I'm confused with how you can gain access to the
22.
by maxnevermind 2mo ago
I'm surprised it is that low. Are not all top AI labs "cheating" and workaround LLMs's low sample efficiency by hiring people to generate more data points - similar problems with answers, so they can train models on thos
23.
by maxnevermind 3mo ago
As Steve Eisman said: Mag7's businesses becomes capital intensive and they also seems to lack a strong moat, that will make investors more reluctant to buy keep buying their stock.
24.
by maxnevermind 3mo ago
> synthetic verifiable traces What does it mean, Is it like when somebody used some coding agent to develop a feature and later input prompts and a resulting PR can be used for training by a presumption that final PR was a correct implem
25.
by maxnevermind 3mo ago
> everything is now attached to a watercooled block Does it increases manufacturing and operational cost of such racks?
26.
by maxnevermind 3mo ago
Are logs somehow used for the purpose of training their own models or something else?
27.
by maxnevermind 3mo ago
Don't big tech ask meaningless LeetCode problems because it serves as a proxy for IQ?
28.
by maxnevermind 3mo ago
> these types of training data might be key to teaching models to reason beyond what they could gather from static data. I was under impression that every time LLMs try to be truly novel and they need to assume things in the area where t
29.
by maxnevermind 3mo ago
That is informative, I was suspecting that is how models improve their performance on some convoluted "non-googlabe" benchmarks like SimpleBench, that is how, they just got the taste of those those questions from publicly availabl
30.
by maxnevermind 3mo ago
> Given the enormous cost of training, would it be worth training new models then? I'm not an expert, but is this even an option? I mean models must be refreshed with latest knowldge base periodically even without algo/design i

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