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Aren't most people directly benefiting from AI?

In the US, there's currently about 300x more land used by cornfields than by data centers.

Does that seems unreasonable? We already grow more than enough food in this country and surely we're not getting 300x more value from the corn.

Which societal problems require changing the laws of physics to fix?

Presumably they will use approximations like factor analysis that are already commonly used in data science.

For casual dating, I would say yes, and not just white liberal women.

As a man who happens to meet those criteria, and has participated in a few hundred hookups over the last 10 years, I'd say a significant portion of the women either directly or indirectly try to discern answers to those questions before meeting or agreeing to casual sex.

I think the main cause of this asymmetry in modern dating is the disappearance of social shaming for casual sex.

When casual sex is a possibility, many high value men will see it as a desirable option to commited relationships. And since for most men, their standards are very low for casual partners, they're willing to date far below their "level".

That puts women in difficult position because the most desirable partners are far more likely to be looking for only casual sex. But even if women adopt strict strategies to filter out the desirable men who won't commit, the men will naturally adopt deceptive strategies to evade detection as a "fuck boy".

When potential partners largely came from your real social network, the social cost was high for men for "using women for sex" and for women "being easy", so that prevented this problem to some degree.

Now that partners largely come from outside our social networks, there doesn't seem to be any good way to reproduce the social shaming for deceptive non-commitment.

> Not sure we are anywhere close to all the cognitive capabilities of the human brain...

In which capabilities are AI not already close to or beyond that of a human brain?

I suppose the next (and more risky) step is to let AI conduct its own real-world experiments, so that it can generate data to learn more physical and social properties.

> I still have to correct Claude on very basic misconceptions whenever I get it to code shit.

Can you give a simple example?

I would have agreed 2 years ago, but it's extremely rare I see a frontier model making a silly mistake these days.

I'm all for breaking up Google, but how do you see Chrome making money without ads?

If they charged users directly, everyone would just switch back to Firefox.

> On goes Firefox, uBlock Origin, and a couple other extensions. They don't care what browser they use.

I did the same with my mom, but then her broker and doctor's websites started complaining that they will only run on a supported browser, i.e., Chrome.

I've gotten her to still use Firefox for most other things, but it's not easy.

The life of most of the people who steal catalytic converters is not worth much.

> Claude code is a decent harness but then you have to use Anthropic models

Why do you say that? I've used Claude Code with DeepSeek via OpenRouter just fine.

Seems like a contributor reputation score (shared across all projects) that one can build up over time would be a clean solution to the low quality pull requests.

Neither of those two groups were citizens of America historically.

> I wonder: for those Motorola phones that will come with GrapheneOS, won't that make it cheaper for Motorola because they won't have to pay the Google licence (because those GrapheneOS-Motorola phone won't be Google-certified)?

There's been no confirmation that any phones will come pre-installed with GrapheneOS from Motorola, just that some phones will be compatible.

My guess is Google is already applying pressure on Motorola to make sure every phone still ships with standard Android from the factory.

Yes, it does, at least for my threat model. AOSP (with Google Play Services, which are needed to do much useful) mean that a whole lot of closed source system binaries are running with full access to all my data and constantly phoning home to Google.

Do you have a specific use case where this setup is useful? Or is it just an experiment for fun?

On my Linux laptop, I use bubblewrap sandboxes with their own encrypted filesystems and granular permissions for each of my projects. Very easy and secure with NixOS, surely better than what I could do with an Android device.

It seems like such a missed opportunity for China to challenge American dominance overseas.

I strongly disagree. The only reason I still use an Android phone is that countless third-party services (that are too useful for me to give up) require the Android/iOS ecosystem.

Are the wheels a weird size? What stopped you from replacing them with regular tires?

> they can easily have functions that provide them the plaintext through a separate channel

That's why they provide cryptographic attestation that the open model they're running is exactly what they advertise without any modifications.

That combined with GPU confidential compute should protect your LLM prompt and output.

A contract doesn't protect your data from government searchs, with or without warrant.

Aren't there already much more efficient ways to make inference private?

Using regular encryption and secure enclaves, there are already providers that are roughly 2x the cost of normal providers. For example, https://tinfoil.sh/

I think it's a staged rollout. People were complaining about it a few days, but I didn't get blocked until this morning.

So is your concern more about reducing the risk of an authoritarian China "winning" the AI race? And less about reducing the risk of your data being used against you personally?

To me, the risks of an individual helping China to continue to develop their AI by being a customer is pretty marginal compared with the personal risks of my data being used against me.

> Libertarian contains the same root word, but is not similar to liberal other than that.

I don't think many people would agree with that. Other than their philosophical differences in their approach to dealing with externalities (classic liberals favoring preemptive regulations and libertarianism favoring compensation for damage to property rights), I don't see that much practical difference between them.

Unfortunately cache reads with third party providers are all 10-50x more expensive than with DeepSeek, so they're not even close to as cost efficient for multi-round agent use.

Unless you're Chinese, why would you care if they see your data?

As an American, I'd much rather have my data kept outside the country than here where companies and the government have a lot more leverage over me.