1) many disagreements are not ultimately about facts but about intentionally different tradeoffs/prioritization.

2) if in fact one argues on facts/logic then losing the argument means you had your own logic or facts corrected, which should be a good thing, not a bad one.

Meanwhile we in the US are blocked from buying Huawei GPUs and retirees are boasting about the nvidia in their portfolios.

We in the United States will never forget!

For all the harm Trump does to the US at least he is helping China!

Bad Federal regulation has a much larger blast radius.

Let’s hope Chinese models save us from this. BYD is trying to save us from Elon but 100% tariffs are welfare keeping Elon afloat.

I’m quite confident that few people are more ignorant on AI than Donald Trump. That he promised less regulation and lied is no different than his many other lies.

In six months everyone will cancel frontier subscriptions.

Now all of the businesses who use Apple products as an input are more likely to raise their own prices, etc. This is how inflation happens across the economy. Trade war leads to price increases on Apple's inputs, Apple has to raise prices, etc.

You can create contrived logic problems, but they often turn into language games because English is not formal logic.

And you can train on "monty hall" style problems, but those too are language games that are intriguing to humans but obvious when framed slightly differently.

In other words, model trainers are fighting against the overwhelming mediocrity of the training corpus (all of the recorded human output from history).

As models improve, the next phase will be models co-designed with humans to overcome these limits. The way we use language and the process we use to problem solve (we currently call this "orchestration") will evolve as part of this. Meatspace metaphors map badly when we have massive context and don't need the same limits. How different is hallucination from extrapolation, etc.

Much of the skepticism and confusion about LLMs is no different than a person of average intelligence hearing a highly intelligent person explain something and considering the explanation gibberish, then arrogantly accusing the intelligent person of being unhelpful.

Much like dogs were domesticated from wolves to have traits that make them good around humans, LLMs will evolve around our limits, around our arrogance, around our aesthetic biases and prejudices. Intelligence and rationality is fundamentally not what most humans want from an LLM.

Most notably, any default assumption one might have had that the Trump administration can be counted upon to act in good faith should be viewed at this point as completely false. Even conservative legal scholars like Richard Epstein are shocked at the bad faith conduct across many areas.

This is a government making an authoritarian move to sabotage one of the top US AI companies. It's pure sabotage, nothing else.

Isn't the Cursor founder British?

Sacks can choose to self-deport on his own, which will help his chances if he ever decides to re-apply for citizenship or entry into the US.

If Anthropic keeps Fable closed source and plays the Authoritarian game, at least we have hope that an upcoming Deepseek model will surpass Fable before long.