A friends car’s emergency brake triggered at a toll booth because it got too close too the barrier, which is required in order for the barrier to automatically open.

He had this issue everytime he got on the highway, and eventually disabled that feature.

It’s too early to publish a news article about it, then.

They are losing billions… of investor money.

This may include people investing in index funds, now that Musk’s Space/AI company is publicly listed. Maybe a piece of people’s pension fund as well, if NVIDIA’s wish comes true. https://fortune.com/2026/08/13/nvidia-wants-your-pension-fund-in-the-ai-trade/

The layman with money in index or pension fund probably don’t intend to invest in AI, but here we are.

It might be possible to fool it.

More important, it’s normalizing use of facial recognition in everyday situations. This is a very invasive tech and prime for abuse by increasingly totalitarian governments.

I guess developers working on AWS are increasingly vibe coding.

Or maybe the invoices are accurate, and LLMs continue to increase memory and hosing cost for everyone.

Why would you need to plug a console to the Internet to play solo games?

Connecting mostly bring enshittification: sending telemetry to 3rd party, ads, updates triggering a random time making it impossible to play when powering the console.

My console is offline 95% of the time, behind a slow connection 5% of the time. No physical media would mean not buying any new game. No new games means there’s no point in buying the latest console to play new games.

Well said.

The one exception where producing images with generative AIs could be acceptable is to study their impact on society and the environment.

Even in such case, care should be taken to minimize the amount of images generated to the strict minimum, to give as little money as possible to toxic corporations and to minimise pollution. Favor studying images previously generated and already available online if that’s sufficient for the study’s purpose.

They’re requesting mostly wrong solutions for real problems.

Age verification doesn’t address social media’s problems, but does increase data collection and decrease privacy. Same for decrypting private messages.

A guardian account does seem reasonable.

They could also completely turn off user seach for minors, so they would have to add contacts by username or email, and couldn’t reach or be reached easily by online strangers.

Minors could circumvent this if there’s no age verification. But today’s age verification methods are neither privacy-friendly nor hard to circumvent. Until they are, it’s not worth requiring age verification.

Debian trixie has a fix https://security-tracker.debian.org/tracker/CVE-2026-31431

Are you aware of the Piefed API? It’s provided specifically to allow building front-ends and bots while avoiding scrapping.

An average fill up runs at about 34 megawatts.

Most of that energy is lost because ICE are very inefficients. Still, impressive.

Also, it’s not possible to refill at home, and it’s expensive when there’s a war near an oil-producing country at the other side of the world.

Electrifying has this downside of slow recharge, but quite a lot of benefits as well.

And I guess engineers would be held responsible for the code produced by the AI agent’s they’re pressured to use.

So management can blame and fire more engineers when things go wrong.

Good. This may reduce the amount of sloppy code being created. And prevent prices from increasing for everyone.

That’s a hard pivot. And building more AI infrastructure is a bad idea. But they might make some short term money given the AI hype.

Oracle needs a good dose of adversarial interoperability.

That’s a good way to represent LLMs. Very bad and very prolific consultants.

It shows LLMs can do significant harm without the capabilities of an AGI.

Overhyping LLMs and overinflating their capabilities makes things worse, as people are less skeptical of LLM output.

According to Clayton, the AI agent involved didn’t take any technical action itself, beyond posting inaccurate technical advice, something a human could have also done.

Producing innaccurate technical advice, with a confident tone, at scale.

If that LLM were an employee it would get a formal blame, and then demoted or fired as it continues.

There’s still someone at Microsoft with common sense. That’s probably too little too late.