Otterly99

5 ms·

1.
by Otterly99 9d ago
The posts came from many different agents, each with a different name, so it would have required roughly the same amount of work.
2.
by Otterly99 13d ago
I never used Sora but I recently tried Google Flow and the results are quite good. I have the feeling that Nano Banana 2 has been the image generation champion since it's release so maybe OpenAI feels that they cannot outcompete Google
3.
by Otterly99 16d ago
I have been having the opposite problem with my papers lately. Instead of glossing over mistakes, the reviewer report missing information which is clearly stated in the text. This is quite frustrating and hard to stay polite after the fifth
4.
by Otterly99 16d ago
Amazing work! This reminds me of this youtube channel[1] that I used to watch a lot during COVID where the author animates miniature scenes with their hamster. [1] https://www.youtube.com/@SIMI_STUDIO/videos
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by Otterly99 17d ago
Can you explain how raising an animal can be carbon negative? It just doesn't seem to make sense to me. How can any mammal capture more carbon than they release?
6.
by Otterly99 20d ago
Thanks for the paper, it is actually quite crazy to think about when SSRI are basically the standard to treat depression. I recently read a book about "The brain energy theory of mental illnesses"[1] which encapsulates depression
7.
by Otterly99 20d ago
Here is my two sides argument concerning AI in sciences (from a former biophysicist). Positive side: in sciences, you need to have a lot of transverse skills such as presentation, data curation and data analysis. In biology in particular, s
8.
by Otterly99 21d ago
I would even go one step further: Meta, knowing exactly what they were doing, ended building an engine that maximizes ad-revenue. It's really hard to disentangle Meta's actions with the overall push for maximum-profit-at-any-cost
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by Otterly99 22d ago
Althought I agree with the first point of the author that FTS is underrated in this new RAG-first framework, the whole article really hides all the problems with RAG-pipeline and kind of hand wave everything. If you are building a RAG pipel
10.
by Otterly99 22d ago
Super cool story! I actually had to look up "Come bet on Aaron’s life with us" to make sure it wasn't real. I also liked your WhatWeSee art exhibition, pretty interesting concept.
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by Otterly99 22d ago
I was talking about the waistline drop that the OP mentionned (85.17 -> 84.61). I wouldn't put my hopes up that peppermint oil has anything to do with it.
12.
by Otterly99 22d ago
That's a shame, because the study in itself is interesting and raises some questions, but the whole time I was wondering why protein translation accuracy would be related to intelligence? Turns out there is no evidence of link and that
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by Otterly99 22d ago
I also was thinking of this film, however I found it really dull. What did you like about it? I'm not trying to diss you, I usually like contemplative movies but this one was just too repetitive for my taste.
14.
by Otterly99 23d ago
Very likely. If they really wanted to make the results a bit stronger, they could at least have switched the two groups after 20 days.
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by Otterly99 23d ago
It is a 0.7% drop, so very likely to not be significant unfortunately.
16.
by Otterly99 23d ago
You are mixing two hormones effect together. Oxytocin is the "social bond" hormone. As you said, it helps create and foster social bonds but also make more more tribal. Cortisol is a "stress hormone" which gets released
17.
by Otterly99 23d ago
The Ox-Alpha webpage really make it sound like they are trying to hype a model that has nothing particular to show: "The reasoning model that appeared out of nowhere. Built for code, long-horizon agents, and a million tokens of context
18.
by Otterly99 23d ago
I'm actually baffled that some of these companies are even allowed to sell their services. Especially the deepfakes and the fake doctor notes for tax reduction. Is investing in these companies even legal?
19.
by Otterly99 27d ago
I think Dario kind of ruined the reputation of Anthropic. I remember reading his essay on "AI is super dangerous and we need guardrails" at the start of the year and it seemed like he was actually concerned. But then it became app
20.
by Otterly99 27d ago
I actually think on the LLM side it might be beneficial to refer to them as <thinking> because it explicitely guide the token generation towards a "thinking space". As weird as it is, anthropomorphizing LLMs in prompts has b
21.
by Otterly99 28d ago
I was thinking about that too. I am probably being too optimistic, but wouldn't it solve the problem if peer-review had a pre-screening phase where you give a presentation about your work? Similarly to how a PhD presentation is given.
22.
by Otterly99 28d ago
That's not really what I am saying. I think it's a tough problem to solve: how far should we help drug addict in their addiction? Is the goal to help them survive, help them stop using drugs, help them find a job? Depending on the
23.
by Otterly99 28d ago
> Back here in the real world, with zero exceptions, we know that power inevitably corrupts even the most chaste and moral of people. Humans are both a product of their environment and possess free will. Both. At the same time Isn't
24.
by Otterly99 28d ago
How are you supposed to help a person like that thought? I understand that you cannot reason too well with an addict, so it might be surprising to some that somebody would refuse shelter if it meant being clean. Still, what should be the ap
25.
by Otterly99 29d ago
The optimist take: maybe building things faster will lead to the dead-end of a product faster and thus force companies to reflect? In reality, I have a feeling that it would lead to even more encroachement, more doubling down and less usefu
26.
by Otterly99 1mo ago
I don't really see how this would work anyway. Even if you find a way to 100% watermark any text, couldn't you just use a non-watermark model? I have a hard time believing every AI company on heart would comply. Hell, even if ever
27.
by Otterly99 1mo ago
Because they are an integral part of the solution generation. By distilling, you are training a model via Reinforcement Learning (RL) to mimic the answer of a bigger model. To do that, you need all the steps that contributed to generating a
28.
by Otterly99 1mo ago
Loved "An immense world" ! The chapters on bats and eels are absolutely crazy.
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by Otterly99 1mo ago
For people that find this controversial: https://www.tandfonline.com/doi/full/10.1080/03075079.2023.2... "Our findings reveal that gradeless learning can increase motivation and reduce surface learning b
30.
by Otterly99 1mo ago
I really wonder how much of safeguarding with SOTA models is actually just "Don't do that" in a prompt? I'm building agent to control machines at work and have to rely on small models, which are especially bad at remembe

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