visarga

48 ms·

931.
by visarga 2y ago
When we think about society we love equality, but when we have to choose our heart surgeon we only want merit. Helping some group get by easier through school and hiring only puts a question mark to their real merits. It's also demeani
932.
by visarga 2y ago
> What I mean that rather than have a quota for recruitment, recruitment systems should have been converted totally blind to age, gender and visible phenotype differences. THIS would have leveled the playing field. Interviewing for orche
933.
by visarga 2y ago
> for larger companies, the actual composition of the employees hired, on coarse criteria (such as gender/sex, race, etc), must roughly match the overall population But there are also personal preferences, and some groups have diffe
934.
by visarga 2y ago
> Because how do you propose doing reparations without causing the exact problem I’m describing? If you are a white or Asian boy who likes computers, and have been playing with code ever since you were little, you get rejected at college
935.
by visarga 2y ago
> The issue here is that the more you talk about all the wrongs and specifics, the more you highlight finer granularities of identity, the more you base things on some small group, the more it splits everyone, the more different groups&#
936.
by visarga 2y ago
A simple test - take one of your own photos, something interesting, and put in into a LLM, let it describe it in words. Then use a image generator to create the image back. It works like back-translation image->text->image. It proves
937.
by visarga 2y ago
> Or it could be a parallel vs serial compute thing. The brain itself is both a parallel system an a serially constrained system. It has distributed activity but it must resolve in a serial chain of action. We can't walk left and ri
938.
by visarga 2y ago
> A perfectly perceived system and world can be trivially planned for I think it's not about perfect perception, there is no such thing not even in humans, it's about adaptability, recovery from error, resilience, and mostly ab
939.
by visarga 2y ago
I think the essence of human creativity is outside our brains - in our environments, our search spaces, our interactions. We stumble upon discoveries or patterns, we ideate and test, and most ideas fail but a few remain. And we call it crea
940.
by visarga 2y ago
Are they just reinventing reddit?
941.
by visarga 2y ago
Whoever owns the problem, owns the benefits of applying AI, not those who train the model, not those who host it. The only moat is to own the problem. AIs will be easily commoditised.
942.
by visarga 2y ago
The internet is full of spam and deceit, most of the time even we humans struggle. Even with good references, the models make their own share of mistakes. Overall I think Perplexity (and GPT 4o + search) are more reliable than asking Claude
943.
by visarga 2y ago
Use https://hackersearch.net/ for RAG and copy-paste the response in any LLM. I wish reddit had semantic search as well. For X I can use Grok.
944.
by visarga 2y ago
But that edge will become more and more expensive, while the competition will cover more and more of the task space and make it less profitable for OAI
945.
by visarga 2y ago
> Claude seems very powerful for coding tasks > I really dislike sending my code into a for profit company if I can avoid it I see a link between them - maybe the model got good because it used chat logs to improve?
946.
by visarga 2y ago
I am using a LLM to extract ideas from text, as a numbered list, each one self contained, about 50-100 words long. It also generates relations between ideas (supporting, contradicting, expands on, etc...) The idea extraction step is simple
947.
by visarga 2y ago
> Probably needs to develop a soul first. More generally, if you cultivate yourself you will get more pleasure from your activities. If you take time to learn an instrument, or listen to classical, or gardening (you can grow exotic plant
948.
by visarga 2y ago
> When you're dealing with ten notes, it's trivial to dump them into an LLM and generate connections. With a hundred notes, it's still manageable. But what happens when you hit 10,000 notes? Or a million? We quickly run in
949.
by visarga 2y ago
> A talking Buzz Lightyear toy with one of those small language models that'll teach (human) infants to talk? Great idea. I was thinking more like a plushie toy with sensors, it would react to touch, sight and speech. I would run th
950.
by visarga 2y ago
> Better algorithms and approaches are what's needed for the next step of ML. I think they did great, but they relied on distillation. So it's like riding on a skateboard while being pulled by a car.
951.
by visarga 2y ago
> If DeepSeek don't have a competitive advantage, then no-one has a competitive advantage. There is no moat. Smaller models are just a few months behind large proprietary ones. But the distribution of tasks might be increasingly sol
952.
by visarga 2y ago
> Software expands to fill the available resources. To make an analogy, that is why I think even with AI work expands to fill available resources (human+AI). I don't think jobless rate will be high, instead we will see demand expans
953.
by visarga 2y ago
No, what I said is something else - when you set the prompt, you can find the generated output meaningful for you precisely because you set it up. Other people don't need your generated texts or images because they can prompt their own
954.
by visarga 2y ago
> they are wasting time and money with the copyright and other bullshit One more reason copyright deserves to die.
955.
by visarga 2y ago
> AI has no ground truth for enjoyable content if not the successful works humans have made and tested already. Yes it does, your own AI generated pieces are based in your prompt, not purely generated by AI. So they are meaningful to you
956.
by visarga 2y ago
It really does see its past tokens. Attention makes that a core feature, it can introspect on its own past thoughts. And like humans have to speak one word at a time (serially), so does the model. Distributed activity of neurons funneled th
957.
by visarga 2y ago
We are indirectly applying derogatory language to the training set, which is our own culture. Strange position to despise our own past knowledge, took us a long time to compile it. Even if someone thinks LLMs are just stochastic parrots, th
958.
by visarga 2y ago
> any new knowledge being acquired now comes from humanity+AI AI is an experience flywheel, it serves many people and learns from many people. It elicits our tacit experience and captures our reactions as it works through tasks. I see th
959.
by visarga 2y ago
> LLMs lack any "inner life" and that by ignoring this aspect of what makes us human we've really moved the goalposts on what counts as AGI Maybe it's just a response style, like the QwQ stream of consciousness one. W
960.
by visarga 2y ago
A solar panel + battery + laptop would make for cheap local AI. I assume we will have efficient LLM inference chips in a few years, and they will be a commodity.

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