concats

43 ms·

1.
by concats 5mo ago
The recently viral 'grill-me' skill is great for exactly this. It's just a super simple skill that, when invoked, makes the model spend considerable time asking design and architecture questions and fleshing out any plan with
2.
by concats 6mo ago
Just knowing someone's name, address, and ID number isn't enough to like, open a bank account in their name or such. You'd need a proper ID card or passport for that. Similar thing with most businesses if you try to pay for s
3.
by concats 6mo ago
> Why is mechanized thinking going to do that? When mechanized labor didn't? You're right. There is technically a category of work that relies on neither our ability to do physical labor nor excessive thinking. It just relies o
4.
by concats 6mo ago
The revenue numbers are public for the major AI companies. That's probably the best estimate for "inference for the whole market" we have, since most of that inference is billed in either API usage or subscriptions, and it wo
5.
by concats 6mo ago
How does it compare for models of any meaningful size? These 0.6B-4B models are, frankly, just amusing curiosities. But commonly regarded as too error prone for any non-demo work. The reason why people are buying Apple Silicon today is beca
6.
by concats 7mo ago
What choice do they really have though? More and more consumers completely forgo owning a regular computer and only use a phone or a tablet now a days. And among the ones who do own a computer there's still a strong trend towards not p
7.
by concats 7mo ago
True! (value - cost) would be better. I was more so limiting myself to the simpler heuristic where people only pay roughly what they personally think something is worth, and not significantly more/less regardless of the options. But of
8.
by concats 7mo ago
If we assume people are somewhat rational (big ask I know), and the Efficient-market hypothesis, then we can estimate the value created by AI to be roughly equal to the revenue of these AI companies. That is: A professional who pays 20€&#x2
9.
by concats 7mo ago
> Putting that kind of filter in the way of speech seems ripe for abuse. On one hand I agree with you. Any automatic filter implemented can later be expanded to cover more and more things, such as messages from political adversaries for
10.
by concats 7mo ago
> Sidenote: I wonder what's going to happen when the crazy money runs out and Anthropic, OpenAI & co have to start charging for more than it costs them to run the models. Hopefully by then the open source models will have caught
11.
by concats 7mo ago
> I've been surprised how difficult it is for LLMs to simply answer "I don't know." It's very difficult to train for that. Of course you can include a Question+Answer pair in your training data for which the answ
12.
by concats 7mo ago
I think one of the things that short form videos do really well is that they punish creators who pad their videos with unnecessary filler content. On TikTok for example (Not necessarily a fan of the app but it's a good example) no vide
13.
by concats 7mo ago
> Most of these seem concretely doable, and maybe effective. But the core of the addictiveness comes from the "recommender system", and what are they supposed to do there? Start recommending worse content? How much worse do the
14.
by concats 7mo ago
TikTok has a lot of issues, such as privacy, dubious content, 'brainrot', etc. I don't want to seem like I'm necessarily defending TikTok specifically here. But this really just stinks of Regulatory Capture to me. Their
15.
by concats 8mo ago
I doubt it. More plausibly: You registered the domain. You created the webpage. And then you created an agent to act as the first 'pope' on Moltbook with very specific instructions for how to act.
16.
by concats 8mo ago
I agree. It's very missleading. Here's what the authors actually say: > AI assistance produces significant productivity gains across professional domains, particularly for novice workers. Yet how this assistance affects the d
17.
by concats 8mo ago
I didn't catch it immediately, but after you pointed it out I totally agree. That comment is for sure LLM written. If that involved a human in the loop or was fully automated I cannot say. We currently live in the very thin sliver of t
18.
by concats 8mo ago
I remember leaving university going into my first engineering job, thinking "Where is all the engineering? All the problem solving and building complex system? All the math and science? Have I been demoted to a lowly programmer?"
19.
by concats 8mo ago
Isn't most research and scientific data is already shared openly (in publications usually)?
20.
by concats 8mo ago
Food is anabolic. It's significantly easier to build muscle if you're willing to also put on fat.
21.
by concats 8mo ago
In what way does them having a subjective local moral standard for themselves imply that there exists some sort of objective universal moral standard for everyone?
22.
by concats 8mo ago
>If I knew someone wanted me dead, of course I would want a prediction market on it [...] Someone fill me in on what I'm missing here? The assassin might place the bet at roughly the same time as they place the bullet in the chamber
23.
by concats 8mo ago
A risky bet can give back much more than 3x the money. Take this absurd one for example, it seems like it's offering up to 9x on a yes bet right now: https://polymarket.com/event/us-civil-war-before-2027 (I don&#x
24.
by concats 8mo ago
> A lot of complaints and concerns about LLMs today echo remarks about Wikipedia back then. I have also noticed this. How LLMs can never be trusted because they are stochastic sounds very similar to how Wikipedia can never be trusted bec
25.
by concats 8mo ago
> Can it run Doom? Yes, there are even videos showing it on youtube.
26.
by concats 8mo ago
> Ultimately I think over the next two years or so, Anthropic and OpenAI will evolve their product from "coding assistant" to "engineering team replacement" The way I see it, there will always be a layer in the corpor
27.
by concats 8mo ago
Thanks for the post. I found it very interesting and I agree with most of what you said. Things are changing, regardless of our feelings on the matter. While I agree that there is something tragic about watching what we know (and have dedic
28.
by concats 9mo ago
“I've come up with a set of rules that describe our reactions to technologies: 1. Anything that is in the world when you’re born is normal and ordinary and is just a natural part of the way the world works. 2. Anything that's inve
29.
by concats 10mo ago
I don't think anyone disagrees with that. But it's a good time to learn now, to jump on the train and follow the progress. It will give the developer a leg up in the future when the mature tools are ready. Just like the people who
30.
by concats 1y ago
>> It's too bad people spend energy for generating them now. How do you mean? Some quick back of the napkin math. Creating a 'throwaway' banner image by hand, maybe 15 minutes on a 100W CPU in Photoshop: 15 minutes

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