aoeusnth1

Seriously, what's special about oncology that convinces you there will be no progress?

> But be practical: The guys running the machinery that literally makes society possible deserve to be compensated fairly and I don't see many trucking magnates living large at the rest of our expense.

Properly taxing trucks will be mostly passed onto the consumer, not reducing their compensation much, and it would significantly reduce the number of trucks on the road (a good thing). Out of equilibrium, it would cause many of them to go under and compensation would crater... so of course it would be wildly unpopular.

What's the point of using a slow frontend framework just because you're familiar with it, instead of a fast frontend framework which the LLMs can write equally well (or better)?

The reason is fuel efficiency. Why would weight be your primary concern?

Gas is more expensive.

I disagree. Basically anywhere an ICE engine is used for whatever reason, it should be a hybrid instead. There are good enough reasons not to use EVs but there are zero practical reasons to not use a hybrid.

Oh, an LLM forward pass is also like system1. The action embedding just makes it more useful for tasks or classification. If it has a small fixed computation budget it's similar to system1 than system2 (like a thinking budget, or agent harness).

The difference is the the joint embedding of actions and state which are fined tuned for certain outcomes. The bulk of the weights are just a forward pass on an LLM (Nemotron).

System 1 is quite informative about what it's for. It means it's a system designed for bounded time quick classification, vs. agentic unbounded or slow thinking with scratchpads and tools.

Yeah, the github landing page is much less misleading and clearly says this. I don't know why they try to make the marketing page gloss over this detail... it speaks to the mindset of the authors.

You were right to call that out, and the evidence makes a stronger case than you are stating.

No customer has access to an appreciable fraction of any data center, and if they do they don't have 10x overhead in reserved quota.

Wynes & Nicholas downgraded electricity sourcing to "questionable merit." Table 1 gives a range of under 100 kg to 2,500 kg CO₂e saved per year, depending on the default CO2 intensity of the state/country you are living in.

A plant-based diet is one of their high-impact lifestyle choices.

It sounds like you agree with the criticism that your title is a bunch of baloney, but somehow think that's not your fault? You wrote the lies in that title, not an algorithm.

Sounds like you get your news from 2024 when people thought things were plateauing after GPT4?

Soccer is nondeterministic. Are you as good as Messi?

The return on capital is also phenomenal. To be a bear, you have to assume that will crater.

No, because Opus is smarter than those models if they’re all on medium settings. You should compare at similar levels of performance, which would be favorable to Opus.

If it's memorized your benchmark then your benchmark is bad, it's not cheating

What about all his other articles that had f-bombs and the predictive utility of used toilet paper?

It doesn't matter what went wrong- he is not a credible leader. If you are going to lead doctors, you should be a doctor. It doesn't matter why you didn't become a doctor.

"To all my haters who said I mispredicted the capabilities of these systems, rest assured: my statements have no predictive worth at all! I am not saying anything concrete!"

Did I miss where OpenAI plagerized the disproof of the planar unit distance problem from?

We're discussing whether they are models or not, not whether they have goals and agency. A language model does form a model of who you are and what you're thinking, because language is causally connected to those aspects of the generating distribution and modeling those aspects reduces cross-entropy.

RL provides the goals and agency. Pretraining provides the model.

When I read your reply, I’m also modeling language. Tokens are just the discretization of the model’s eyes and ears. My brain does a huge amount of work to represent what’s happening in the world based on discrete information received from the outside world, just like language models do.

The universe contains subsystems which can be described as eluded in the sense that we can take the intentional stance on these systems and describe their observable behavior as being in a state of illusion of separation.

There is nothing which makes either of them are “you.” The feeling of Self is a useful predictor which a physical subsystem uses to nagivate the world and predict observations. “I” is not a physically real label which attaches the “you”-ness to physical systems, the physical systems simply are, and are inherently first-person in character. The only real you is the global quantum wave function, or whatever the underlying real stuff is doing.

Materialism directly implies no-self and Advaita Vedanta schools of thought.

The model is the thing which is learned in order to make the probabilistic prediction with low entropy.

AI agents

I believe they were using their teeth (or lack thereof) to reference their visible meth addiction. See GP, "2) meth is neurodegenerative. heavy users end up with a permanent disability."