zvitiate

> The restaurant QR menu situation is peak 'we installed an app for the app' energy. I scanned a code expecting a menu and instead got a Play Store redirect. Just let me see the food.

Now you've triggered me lol. At that point I'll ask for a physical menu, and leave if they don't have one. And no, I'm not going to look at my friend's phone. It's ridiculous!

Okay but if you aren’t using RAIM or a TMR system then is he really wrong?

And if you weren’t being snarky I’m sure you could understand. Generate 100 answers. Compare them. You’ll find ~90% the same. Choose that one.

My GPD pocket 4 fits into really large cargo pants if that counts lol, and there is the micropc2 too that’s even smaller :p

Might is doing a lot of heavy lifting in your last sentence. I’m genuinely curious, what odds is this evidence of transition versus not?

And the FDA tells you not to cook your steak rare.

Claude’s system prompt is SO long though that the first 1k lines might not be as relevant for Gemini, GPT, or Grok.

Google actually switched to an OpenAI system for 2.5 Pro's Chain-of-Thought yesterday on the Gemini app and AI Studio ("I did this; I did that. etc"). Apparently it still shows via API, but no clear how long. Also, in my experience, if you select the "Canvas" output, you still get the old style CoT.

And yes, the above is true even if you are ULTRA.

You can still view your old thinking traces from prior turns and conversations.

There's a huge assumption in your comment -- that you know how insurance works. "Most" probably aren't working in sales and marketing; I'd heavily dispute anything above 50% and I feel like 33% might be pushing it? I don't want to get overconfident here, but this claim feels off-base.

Insurance isn't like a widget. People have actual legal rights that insurers must service. This involves processing clerks, adjusters, examiners, underwriters, etc. Which then requires actual humans, because AI with the pinpoint accuracy needed for these legally binding, high-stakes decisions aren't here yet.

E.g., issuing and continuing disability policies: Sifting through medical records, calling and emailing claimants and external doctors, constant follow-ups about their life and status. Sure, automate parts of it, but what happens when your AI:

a. incorrectly approves someone, then you need to kick them off the policy later?

b. incorrectly denies someone initial or continuing coverage?

Both scenarios almost guarantee legal action—multiple appeals, attorneys getting involved—especially when it's a denial of ongoing benefits.

And that's just scratching the surface. I get that many companies are bloated, and nobody loves insurance companies. No doubt, smarter regulations could probably trim headcount. But the idea that you could insure a billion people with just 100, or even 1000 (10x!), employees is just silly.

Ohhh this looks very cool. Thank you for sharing! Will dive into this over the weekend.

That’s what GPT-5 was supposed to be (instead of a new base or reasoning model) last Sam updated his plans I thought. Did those change again?

What if you were in an environment where you had to play Minecraft for say, an hour. Do you think your child brain would've eventually tried enough things (or had your finger slip and stay on the mouse a little extra while), noticed that hitting a block caused an animation, (maybe even connect it with the fact that your cursor highlights individual blocks with a black box,) decide to explore that further, and eventually mine a block? Your example doesn't speak to this situation at all.