@NeverSinkDev Agree. I think for things like this or temple where you have to kill all monsters, the monsters should always seek you out, at least after a delay
@Simon__Grimm xAI has done better than Meta because they did attract the anti-woke researchers. But anti-woke is a small set of not the best. The smartest researchers care about the impact their work will have on the world. And Meta has a history of not caring about the harms they cause
@Simon__Grimm You're missing the reason that xAI and Meta are not serious contenders and why Anthropic and OpenAI are dominating. It's the mission. When you're already set for life, making Zuck and Musk richer is not a very inspiring mission. Securing Europe's future would be.
@NeverSinkDev Annuls are very rare but the situations where they can safely be used in crafting are too few, so the rarity and value don’t match. They should’ve been able to predict that though and choose the rune levels accordingly
Anthropic's challenge is that it is a liberal organization (in the broad, good sense) dealing with an illiberal administration. A central feature of liberalism is its belief in the importance of reason in politics. And illiberalism (left or right) is often characterized by a suspicion of reason in politics. Anthropic keeps reasoning with an administration that cares more about domination than reason. And that just makes the administration madder and madder. They don't want an argument; they want submission. Dario won't flatter them, and so he is a target. That's why I defend him and am kind of appalled by some of his critics. He's a hero because he's one of the only people in the country with power who is telling the Trump people no.
Precisely as I predicted, the recent cyber EO, which admin officials insisted was not a licensing regime, ends up in practice being a licensing regime. Forget “voluntary,” forget “permissionless.”
AI is licensed now, but the requirements change constantly and are always a secret, even to the administration itself, which will discover the rules spontaneously in real time as it reacts to events. This means also that the rules are in practice stricter and more roughly enforced for organizations the administration does not like.
Can you blame Anthropic for making itself so disliked? In a sense, sure. The problem is that this childish “he said, she said” is all we have to go on in our analysis of the situation. And because there is no transparency (it is all calls and texts between “White House officials” and “Anthropic executives”), in practice it comes down to who you trust more.
This is why we create laws! To abstract away from personal power struggles and grudges, to submit to the steady application of rules so that complex human activity can unfold with predictability.
The rule of law has been being eroded in the U.S. for my entire life, but it is especially acute in AI because of both the lack of much preexisting law to serve as bulwark, and because of this admin’s insistence that it is Not Regulating AI. This has become an excuse for vagueness and evasiveness in rule-drafting (see the cyber EO), and this in turn makes the lawlessness worse.
The government wants to apply its force to frontier AI, that much is clear. It wants to make the industry submit. And in service of that goal, it has discovered that “not regulating AI” is in fact a great excuse for refusing to support laws that could constrain the admin’s exercise of power. In other words, “not regulating AI” is a *justification* for the tyrannical control of AI by the state.
This should alarm you regardless of what party you are in. What you are seeing now will be used against you one day soon, if not by this admin then by its successors. This is the antithesis of the rule of law.
The administration cannot and will not fix this problem alone. We need Congress to step in and impose rules on this mess.
I have no idea whether Anthropic is in the wrong in this dispute. I do strongly believe that focusing on whether one company acted poorly or not is a waste of time and energy.
The government clearly thinks that they need some way to vet and evaluate frontier models that exceed a certain capability threshold for national security risks to keep the country safe. Anthropic clearly agrees. It is blindingly obvious that the current cobbled-together authorities the government is using to do this in an ad hoc last minute way are not adequate. We very clearly need new legislation that establishes a more organized, better-resourced, legally sound way for the government to do the thing that they obviously want to do while also affording companies due process instead of whatever this is. So let’s work on that, please!
Andy Jassy was clue less about AI and incoming wave in 2020 when I worked for him and constantly made him aware of the things I was accomplishing in AI and now @ajassy just wants to sabotage other tech businesses because his ego gets hurt similar to how he would lose tennis matches and break his racket during competition because he sucked back then too
This might be overreacting but I kind of think kneecapping your biggest source of inference revenue when your own teams can’t produce a good model should maybe cost Andy his job
@CitiZenSleuthX@AndrewCurran_ Good job, you managed to read the first line. With some more practice you might be able to make it through the rest of the two sentences
@EpochAIResearch For example, were the ones that AI didn't flag as having an error also audited again to be sure or could it have missed many? What was the audit process? Why were these not caught before initial publication? No one should pay attention to v2 without these answers.
@EpochAIResearch 42% is pretty egregious. Why should anyone trust that v2 doesn't have significant errors as well? You need to at least provide an explanation for how you allowed this many errors and what you've changed to ensure higher quality this time around.
@WillManidis@steipete maybe read the actual quote before retweeting? I know you have legitimate beef with Anthropic, but this is embarrassingly bad reading comprehension. "in light of third-party assessment" "protective measures against political favoritism or arbitrary decisions"
@tyler_m_john@boazbaraktcs The problem isn’t that they’re blocking competitors, but sabotaging them. That’s already questionable but way worse when you add in false positives and also sabotaging non-frontier researchers and likely ai safety researchers (but who knows because they sabotage instead of block)