intended

4 ms·

1.
by intended 6d ago
Drive by code dumps from people who have "democratized Natural Language code" which pushes all the work of verifying whether it works on the few active maintainers is hell. Any collective group with open contribution will end up h
2.
by intended 6d ago
I did not expect to see a Leamington Spa beer fest poster being used as a reference image today.
3.
by intended 6d ago
What results though. The people seeing measurable improvements to their core work with LLMs are coders. Everyone else is taking over intern level work from someone else’s team. They are reducing the friction costs of talking to someone else
4.
by intended 7d ago
Process vs outcomes. If your work has little liability then you can afford to not care beyond “does it work”. If you have to worry about quality and ensuring you don’t get sued, you make sure the process works. If it has to maintainable, yo
5.
by intended 7d ago
How will you redistribute to people in Japan, for example? The profits and income is earned in America. The idea that America would pay manga artists whose work was copied is … beyond idealistic.
6.
by intended 7d ago
There’s too many implicit assumptions in that sentence that run afoul of the conversation. Just spending money doesn’t mean it’s legal, for example. Criminals expect RoI too.
7.
by intended 7d ago
If the US companies had to negotiate with the 7.3 million rights holders, we wouldn’t be here, and we would have probably got a system where the models were never released in a manner that could be easily distilled. If the rules had been fo
8.
by intended 7d ago
Again, incentives. The people who publish are people who have reason to publish when they can be copied. Typically either they have already been paid, or they expect to gain market share by being free. People who need renumeration to contin
9.
by intended 7d ago
Absolutely. This is definitely a scenario in which management has bought into the hype and the people working with the tool are aware of its limitations. Like markets, the firm can remain irrational longer than you can push against it. Beyo
10.
by intended 8d ago
And Businesses will buy, because the AI promise is a promise to automate workers away.
11.
by intended 8d ago
Yes, and we lived in a world of guilds, Orders and secrets which kept their knowledge tightly within themselves. Music and art was created by patronage. Entire periods o where the art that mattered was made by the powers that moved the worl
12.
by intended 8d ago
> Floridi has a counterintuitive solution: Release more of them. “Simply put, if you cannot avoid it, then make it pluralistic and diversified,” he writes in his 2024 paper. “It would be a messy, cacophonic, and noisy world, but it could
13.
by intended 9d ago
Numerals and numbers are directly based on common sense intuition. Even zero, which can be considered a counterintuitive number, was invented several times. Immense amounts of science are built on incremental advances that apply previous in
14.
by intended 10d ago
The greater deterrent is knowing you will be caught.
15.
by intended 11d ago
If something is risky, and the end operator cannot be considered to have orchestrated the outcomes of too use, then that tool typically has significant restrictions placed on it. Liability will shift to the maker of the tool if they claim t
16.
by intended 12d ago
I recall China having instituted limits on gaming for children. I believe there are limits for social media as well.
17.
by intended 12d ago
Its relevant because those same issues occur with large models. Also, the "crappy small model", was a model trained for safety tasks, and outperformed the frontier lab safety models.
18.
by intended 12d ago
You could have, at least back when Trust and Safety roles weren't getting crushed by the AI stick. Theres tons of research which can be brought to bear, genuine problems and challenges that require deep, thoughtful work, and some of th
19.
by intended 12d ago
Drinking is down for young adults and teens. My pet theory is that Covid broke the chain of party and drinking culture being passed down. (This is entirely speculative, and based on a single chart I saw.) The relevance to your point being t
20.
by intended 12d ago
If you want to disabuse yourself of your notions annd intuitions on how LLMs work, run safety models and tests. On a hate speech policy test for a lightweight LLM, the presence or absence of the last full stop on the last sentence would cau
21.
by intended 12d ago
Why do you find it hard to reconcile? It seems fair to guess you aren’t building your own harnesses, running multiple experiments with achievable win conditions, while providing oversight over model behavior. Scale alone suggests your exper
22.
by intended 13d ago
These situations are novel. Lax terminology is fine when it has no impact on the intuitions, clarity and conclucions of discussion. If this was a conversation just about outcomes, then whether models think or simulate thinking is sophistry.
23.
by intended 14d ago
>but It no longer makes economic sense to write all the code by hand, so increasingly I don’t. and > There are good developers, mediocre developers, and bad developers, and the good ones are still hard to find. move in opposite direct
24.
by intended 14d ago
We have a ways to go before we hit zero, since we are inventing entire new ways to be a prick. I think we are a year or so away from the first tik toks of humanoid robots walking up to people and punching them for views.
25.
by intended 14d ago
The fact that it is autocomplete, doesn't dismiss or minimize the threat though? I am not sure how that link was made. Good old ML, which is significantly simpler than LLMs, was capable of ensuring people would not be hired simply beca
26.
by intended 14d ago
This is the perfect fracture point for both anaolgies. LLMs simulated more than simple autocomplete. The autocomplete analogy is rebutting a different point: namely the fidelity of the simulation to reality. This specific argument is valid.
27.
by intended 14d ago
I can say with some certainty that you should most definitely bother. The greatest predictor of AI productivity I have seen has been operator maturity. AI usage tends to atrophy skills, unless used in a very mature and self aware manner. Al
28.
by intended 17d ago
AI productivity discussion go! The model seems defensible, but for some reason it isn’t passing the sniff test. Maybe its that the extreme scenario seems wildly optimistic, or that the observed modest productivity gains are framed as either
29.
by intended 17d ago
The more I see of frontier lab economics, the less it seems like the earlier predictions on how they will grow hold. This imbroglio looks like a point in the journey for a firm that is realizing it is not going to make money selling shovels
30.
by intended 17d ago
Not disagreeing with the post- wouldn’t this come under the category of “everything is bad for users when the corporations become too big”?

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