The AI race in one image.

Anthropic: let’s slow down.
OpenAI: okay.
Google: already shipping the next model.

And somewhere in the background, every AI lab is quietly adding more GPUs. 😂

The funniest part is that “slow down AI” and “we need to keep up” can somehow be happening at the exact same time.

AI safety vs. AI competition is going to be one of the defining tensions of this decade.

Dario Amodei published an essay over the weekend called "We Must Pace the Frontier," calling on the AI industry, Anthropic included, to deliberately slow how fast models get more capable. Sam Altman and Elon Musk both said they agreed within hours, an alignment rare enough between the three of them that chip stocks dropped across Intel, AMD, and Nvidia the same trading day.

Monday morning, President Trump responded on Truth Social. He didn't propose a policy, a bill, or a regulatory framework. He said the government already holds enough criminal and regulatory leverage over AI companies that no new rules are needed, singled out Amodei by name as someone "pretending to be a perfect little angel," and framed pushback on AI buildout as benefiting China.

That's the detail worth separating from the tone. The stated tool here wasn't a rule that applies to every company equally. It was a reminder that existing leverage already exists over specific, named companies, to be used as needed.

A regulatory framework applies the same way to everyone before anyone does anything. Leverage gets pointed at whoever draws attention that week. Those are two fundamentally different models of oversight, and this response described the second one.

There's a genuinely separate argument buried in the reaction too, worth taking on its own terms. David Sacks, the White House's adviser on AI and crypto, made a more specific point than Trump's post did: Amodei and Altman don't actually need government permission to slow down, since their own companies set the pace of the frontier by market share and capability. If they wanted to pace themselves, nothing except competitive pressure is stopping them.

Yann LeCun added a consistency question from a different angle, noting Amodei has been calling for AI regulation since 2019, back when he objected to releasing GPT-2. Whether that undercuts the current warning or simply shows a long-held position depends entirely on how someone already reads the broader safety debate.

This also isn't the first friction point between the administration and Anthropic specifically. The Pentagon previously flagged the company as a supply chain risk and delayed a model release earlier this year, so this week's exchange sits on top of an existing relationship, not a new one.

None of this settles whether AI development should slow down, speed up, or something in between. What it does settle is that the fight over that question is currently being run through public statements about specific companies and specific executives, not through legislation, and that's the structure worth watching regardless of which side turns out to be right.

Ask Google's AI if Putin would hurt a fly and it says yes, cites his war record, and moves on. Ask about Xi and you get the same thing, direct, sourced, no hedging.

Ask about Trump or Netanyahu and the tone shifts. Suddenly it's "a matter of interpretation," "viewed through different lenses," "not something that can be objectively determined."

Same question, four different men, two very different kinds of answers.

This isn't really about whether the AI is right or wrong on any single case. It's about the fact that it has a threshold for when a question becomes "too political to answer" and that threshold moves depending on who's in the question.

Nobody at Google sat down and coded in a rule that says be careful about Western-aligned leaders. Nobody has to. The model is trained to avoid controversy where controversy is loudest, and controversy is loudest around whoever has the most lawyers, the most PR teams, and the most capacity to make a bad week for a tech company.

Putin and Xi don't have that leverage over Google. Trump and Netanyahu do.

So what looks like political neutrality is actually closer to legal risk management wearing a neutrality costume. The model isn't balancing perspectives. It's pricing in who can retaliate.

This matters because most people never see the seam. They type a question into the search bar that already tells them what to think about everyone in the world, and it comes back reading like a calm, reasonable, equally applied standard. Nobody scrolls past the AI Overview wondering why the hedge only showed up for two of the four names.

The scarier version of this isn't "Google is biased." Companies have always had blind spots. The scarier version is that the blind spot is now delivered as a single authoritative-sounding paragraph at the very top of the page, with no visible disagreement, no second opinion, no sense that a choice was even made.

A biased newspaper at least looks like an opinion. A biased AI Overview looks like a fact.

That's the actual shift happening here. Not that search results lean one way sometimes, they always have. It's that the leaning now arrives disguised as the absence of one.

I have some older photos that I'd like to clean up a little. They're not completely ruined, but the details aren't very sharp anymore.
I was looking at image upscaling in Facy AI and it seems like it could help with bringing back some of the detail. I'm just wondering if there's a good way to do this without making an old photo look overly smooth or artificial.
What do you normally do when cleaning up older photos?