trash_cat

Like the example they used in the blog is terrible. Weekdays wouldn't need any symbols. A cogwheel for settings is a great example.

For me the page just reloads no matter where I click.

I think most of the comments are talking about the some "virus" but the actual valuable part of the paper is about making choices when interacting with LLMs in such a way that abilities are reversable. That you are still able to do those things without LLMs. And that society and institutions help to preserve this ability by encouraging ways to do things with and without LLMs.

Why not use Codex for that? What is the differnce between work and codex for a very specific task that involves terminals?

                       agent memory
                             |
              +--------------+--------------+
              |                             |
       deductive state               episodic memory
              |                             |
       facts / rules / time          fuzzy context
       provenance                    semantic retrieval
       retractions                   source text

Well this turns out, just like human memory functions. (Semantic vs episodic memory)

People are not talking enough how huge this is for robotics and IoT. Current robotics arhitectures are limited by tok/sec. How cares if its not a Fable model?

This move undercuts NVIDIA directly.

I think the one from hugging face is much clearer, albeit its an arena metric and a bit tricky to find the pareto view. Look for the the top Navigation Bar (Agent Chat Code Image Video). Chat -> (dropdown) Text -> (Side panel) View as Pareto.

https://huggingface.co/spaces/lmarena-ai/arena-leaderboard

"The forces that destroyed SA were also what generated its 4×+ return"...yes, that is what levrage means? And it goes both ways.

The interesting part what this article states: SA was essentialy a thematic ETF without any hedging to buffer downside, and got margin called.

Have $300k in disposible income?

So I have to Shift + Alt + n, the search for the HN blog / article in the other tab? If you have a lot of tabs this isn't feasable.

Wouldn't it make sense to have it an extension? Just spontainously (without reading any instructions) I don't understand how to use this or what Userscripts Tamper or Violentmonkey is.

How about;

1. Make anti-distillation clauses illegal to strenghten western opensource eco-system.

2. Make cyber-defensive models widely available (can detect but won't operationalize vulnerabilities). Otherwise make Fable awailable for everyone. Keeping the cybersecurity in assymetry by withholding cabailities just causes more instability and increases the incentives for powerfull close sourced models. This is a loss for everyone.

When a frontier makes a succesfull edit based on the plan that it made, it leaves an procedural trace in turn biases the NEXT model, low cost model, straight into procedural action. The cheaper model doesn't need to reread everything again because it has enough information from the frontier model to complete the task. A simple "plan" of what needs to be done does not carry this information.

Yes this is correct. It essentially biases the cheaper model into procedural action grounded by the frontier model. To put it mode generally, it injects the cheap model context with more useful information, where it might not need to read all the files again.

There is more to it than typing "llama serve".

Discovering that Enterprise customers tolerate higher prices compared to retails consumers is discovering demand elasticities not PMF. Am I missig something?

Nobody forces you to use touchscreen exclusively?

Sales people using it a lot to scout prospects and understand a person's seniority in an organisation, to target better and prepare a strategy to pitch higher up the chain.

Geopolitics and industrial policty aside, I think it's important to check how stable and reliable these chips are. I wouldn't count on them being on par with "western" ones. Correct me if I am wrong here.

My two cents that this is part of the learning curve. With collective experience this type of work will be more understood, shared and explored. It is intense in the beginning because we are still discovering how to work with it. I think the other part being that this is a non-deterministic tool which does increase some cognitive load.

I think the naming schemes are quite arbitrary at this point. Going to 5 would come with massive expectations that wouldn't meet reality.

BitChat comes to mind.

Clearly there is some demand for those papers, and research, to exist. Good opportunity to fill the gaps.

The former IMF chief Kenneth Rogoff has been talking about this and appeared on NYT Ezra Klein's podcast that I highly recommend[0]. He also talks about China and the role of the dollar at the end with Dwarkesh Patel[1]. A lot of the discussion I see here is adressed by him.

[0] - https://www.youtube.com/watch?v=pT2cohNt6a4 [1] - https://www.youtube.com/watch?v=P2b4TjQa4gk

What constitutes real "thinking" or "reasoning" is beside the point. What matters is what results we getting.

And the challenge is rethinking how we do work, connecting all the data sources for agents to run and perform work over the various sources that we perform work. That will take ages. Not to mention having the controls in place to make that the "thinking" was correct in the end.

You have to understand that these large corpos move like whales, and the money you quoted is a rounding error. I´ve seen a company department burn cash it was asigned on purpose so it wouldn´t go back to finance (indicating that the department isnt using all their money and something is wrong).

Nobody with interest in politics thinks it's about drugs. It's a pretext and a way to gain legitimacy to exert force over foreign nation with some legitimacy that would otherwise clearly go against international law.

But isn't context window dependent on model architecture and not available VRAM that you can just increase or decrease as you like?

There is some circular financing going on, but AI accelerationists think this will be offset by demand, value, and adoption in businesses. Hence these deals are warranted for the incoming demand.

>> "Turns out the major bottleneck is not intelligence, but rather providing the correct context."

But this has more or less always been the case for LLMs. The challenge becomes context capure. Which in my opinion is the real challenge with LLM adoption. Without the right contex, some tasks just cannot be reliably completed.