nitwit005

And then you call them up, and they allow you in after asking some identity questions, and you learn there's no real security.

It's rare for a large company to simply close down. Usually someone buys it out of bankruptcy, and keeps the profitable parts going. Database licensing definitely makes money.

Because Vedal is apparently obsessed with latency, and running the model locally.

Even if it were a human, that would require both fast typing and a fast TTS.

A lot of people started with some image they, or a friend, doodled, which they made animate slightly when they talk. That's a pretty low barrier to entry.

His comments came after it emerged one of the planes earmarked for Emirates had already been scrapped.

Metal off to the canned goods factory already.

I found that I was spending too much time talking to my AI agent and not enough time thinking my own thoughts and talking to my friends

Sounds like some sort of addiction. If the AI were saving time, you would have more time for a social life, not having that time stolen away.

When executives say "AI", they basically seem to mean LLMs right now.

AI that just, does something, like extract text from scanned documents, is apparently boring. They don't seem interested in bragging about boring things.

The companies tracking AI usage don't seem to be tracking usage of that sort of thing either.

You close them.

In the US that would just mean you'd get to enjoy absurdly high fees.

I mean, you can do google searches.

Using this technique, Iran was reportedly able to locate U.S. military forces stationed in military bases as well as hotels in Iraq, Bahrain, and other countries in the Middle East, which allowed the regime to strike them.

While I'm sure they've invested in finding ways to track people, it's not exactly difficult to locate a military base, or hotels used by military personnel.

Users of all ages abandon transactions if it requires installing an app.

That sounds less like wanting apps, than simply having no idea what's going on.

This went straight from medieval guilds to the 1920s, but actual bread mass production started in the Victorian era, and people did have a big negative reaction to that. They adulterated bread in ways that poisoned consumers during that period, which was a tad unpopular.

That drove consumers to some curious brands: https://en.wikipedia.org/wiki/Aerated_Bread_Company

This will just result in cities making one way streets, blocking roads, or removing turns, because raw traffic throughput is rarely the only goal.

My city already has some signs and traffic signals trying to prevent making a left turn after 5PM, because of maps apps attempting to redirect highway traffic through, which added a substantial delay to the commutes of everyone who actually lived there. That later resulted in a city council meeting about the safety problem caused by people making illegal left turns.

You've probably done most of the work if you've already made that jump, as that's often the hardest transition.

it is just vaguely connected things being vibe-coded in parallel.

That does sound like what would tend to happen if they used their own product exclusively.

The sociopaths tend to rise to the top in any industry, unfortunately.

This is, of course, an ad. It's written as-if their AI detection is flawless, but that seems unlikely. They have this in this article:

our latest AI detection model, which achieves a 0.01% false positive rate

But, then in their linked article on false positives, they suggest you should have something far larger than most social media posts:

The text is long enough (over a couple hundred words)

Right out the gate: the numbers must be sorted.

I was somewhat pained by this, as this is an interview question I've gotten, and I clearly annoyed the interviewer by knowing this isn't true, and you can avoid a full sort (which, at least two others have noted).

https://en.wikipedia.org/wiki/Quickselect

Making bad assumptions about data seems more likely than deliberate malice. If you A/B test different designs, and you see a huge increase in "interactions" with some design, you'll tend to assume that's a positive thing, unless you spend the time to interview a lot of customers to figure out what's going on.

It's an old problem: https://gizmodo.com/british-cops-want-to-use-ai-to-spot-porn...

I've been fairly convinced a lot of social media bans, where people are genuinely confused about the bans, are just automatic moderation problems.

Plenty of successful companies that didn't have a great UI, and plenty of failures that did.

If someone buys an overpriced shampoo, it only negatively affects them, but the are costs to overall society if people suffer health issues, addiction, etc.

In the past, a lot of people unknowingly ended up addicted to morphine, as it turned out both companies and individual doctors were happy to mislead them about the contents of medication.

Papa Johns’ “Empty Fridge” campaign ran from late April through last weekend on NBCU streaming supply such as Peacock, NBC Sports and NBCU content across streaming distributors. While it’s too soon to digest the results, Papa Johns knows what it’s looking for.

They have data for a full month. They know if it worked or not. They decided to make a positive press release despite it failing to increase sales.

They didn't want a mock because it might behave differently:

or to replace it with a mock, which only behaves like Redis until your code relies on something the mock implements differently.

But, then, what they built did apparently behave differently:

To guard against that, we test the Rust server against the implementation we ported from.

Running the reference suite this way surfaced differences that would be easy to miss otherwise.

They probably just set up some AI tool to make posts automatically. A quick search shows things like this: https://apaya.com/lp/linkedin

At the time, he said, executives were "super optimistic" about tools like Claude Code from AI startup Anthropic.

Some guy in sales at Anthropic has a new yacht though.

Good. It's purely positive if they take losses from investing in companies engaging in fraud, as it'll encourage them not to do that.

They do have a bouncing ball of about the right size in the beta. I was thinking basketball though.