Looks like the person they detained was released. The shooter got away and is still at large.

There is a lot of top down shit, but there is definitely bunch non c-suite enterprise customers out there. A lot of product managers are curious about this shit.

Did Great Britain move in with Mexico after it broke up with Europe?

The point of a prototype is collaboration. It’s to get feedback from colleagues and end users.

Previously we’d whiteboard that out, spend a few days writing some code or stitching together a figma prototype to achieve a similar results.

I feel ya on the energy use, but don’t see how this is going to get me sued or isn’t allowing me to collaborate. The prototype code is going to get burned anyway, and now I my coworkers and I can pressure test ideas instantly with higher fidelity than before.

Once again, it all depends on the use case. The other day I used an LLM quickly mockup a carousel UI so I could see if it was worth writing real code for. It helped me explore a couple bad ideas before I committed to something worth coding.

I’m not actually checking that code in. I’m using the LLM like a whiteboard on steroids.

All I’m saying is that is you ask people about AI with no use case, you’re going to get different answers than if you ask people about AI when it’s contextualized to a specific problem space.

If I ask a bunch of people about “what do you think about automobiles,” I’m going to get a very different answer than if I ask “what do you think about automobiles that are used as ambulances” or “what do you think about automobiles instead of mass transit.”

Context will give you a very different response.

Yeah, it’s basically like early days of cable, Uber, Instacart, streaming, etc. They have a lot of capital and are running at a loss to capture the market. Once companies have secured a customer base, they start jacking up the prices.

people don’t really like ai

Once you start asking about AI in regard to specific use cases, I think you’ll find that quickly changes.

My company and I have been running a lot of studies around how and where people find value in these tools, and a LOT of people find LLMs useful for copy writing, doing quick research, data visualization, synthesis, fast prototyping, etc.

There’s a lot of crap that AI is bad at in 2025. Especially the poor in-app integrations that everyone is trying to standup. But there are a lot of use cases where it does provide a lot of value for people.

Gen X:

Whatever dude

There should be an archive link in the body of the post to bypass the wall.

I think you mean youngling

Yes and no. They do have a history of late market entries that eventually dominate a category for a bit. Portable music players, wireless headphones, smart phones, wearables, etc.

This has been a thing Apple started loudly touting in the middle of the Jobs’ second time as CEO. CD burners, MP3s / digital audio files, wearables, etc. They often intentionally enter a market late.

It would be one way to address extreme boredom. But probably not the best way.

Fair point. You probably want to be avoiding energy drinks if you’re on a transplant list. Drink water.

That said, people do weird shit while waiting around for something like a liver, and a lot of those folks get urine and blood tests for alcohol to remain on the list.

Yikes. That fuckup could trigger a relapse or kick someone off a transplant list. Accidentally giving someone alcohol is no joke.

It sounds like I stepped on a slug.

https://iapp.org/resources/article/us-state-privacy-legislation-tracker/

Many states in the US have similar regulations. For example, California’s regulations are famously similar to GDPR.

People should bombard them with DSAR requests.

If you’re in a state that support data subject removal requests, like California, email support@teatheapp.com and say this is a formal DSAR request to remove all of your PII.

They have 45 days to follow through.