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Wait, there’s no breakdown by manufacturer / battery generation? This doesn’t seem like news.

On the upside, waiting for those cheap cheap secondhand GPUs?

A paid, non working, in-the-press employee body is more of a drain on business than an absent one, I bet.

We need a lot more of them to join https://www.alphabetworkersunion.org/ .

The biggest action I know of was the Women’s walkout in 2018, about 20k employees. But, no persistent action and no escalation, so no real result.

So many potential confounding factors.

Whoops, misread that as “hard.”

Maybe enough that corporate types will find it compelling?

The core problem was not simply the technology itself. It was the organizational inability to integrate AI into real workflows, learn from deployment and distinguish between a demo that worked and a system that delivered.

Yeah, it has that phrasing sometimes.

No one had the cultural standing to say this looks great, and we are not putting it into production.

Can someone in your organization look at a slick prototype and say “no” without career risk? If the answer is no, vibe coding becomes a one-way ratchet.

This is definitely the feeling at my company. “How fast is AI letting you ship” is the only question management & executive are asking.

the resulting ambiguity will be filled by whoever moves fastest, which is rarely whoever should be deciding.

There’s capitalism!

And if it’s like a lot of security scans, most of the results are technically correct, but, within the context of the project, not something anyone’s going to take the time to fix.

Impressive marketing spin on “our product and deployment strategies are wildly insecure.”

Leaders said there was a “robust process” to ensure the contracts align with Google’s AI principles.

Ah, I think you’ve identified their “robust process” and what the key “principles” are.

Yeah, got headhunted for 10 replace-doctors-with-AI startup for every 1 ed-tech company that even looked at my resume, and the company I’m at now, though good on paper, is squeezing AI into every nook and cranny as fast as they can while sidelining security concerns.

For me, it’s more that it’s a vivid image. I have felt that “immiseration” so it immediately resonates; I don’t need a metaphor. But when people who don’t know technology are gushing about the latest agentic process, I wonder if having a somewhat grotesque, embellished counter will be useful.

I clearly need to up my adblock game. But do y’all also use PeerTube, Nebula, Curiosity Stream? Happy to vote with dollars if there’s a good candidate.

Hadn’t heard “precaritized” either. Brings to mind some penultimate additions to pillow forts, though.

We may start to see people realize that “have the AI generate slop, humans will catch the mistakes” actually is different from “have humans generate robust code.”

Shiu put his in silico fly brain to the test by simulating the activation of neurons that sense sugar or water. The model predicted that specific neurons would fire to extend the fly’s proboscis and initiate eating — a result he and his colleagues showed is true in real adult flies. When simulating activation of sensory neurons from the fly’s antennae, the model predicted the firing of neurons in the circuit involving grooming with the legs, exactly the behavior a fly exhibits when it gets dirt on its antennae.

That is impressive.

How does this deal with learning?

Getting a sense of the scale:

139,255 neurons and 50 million connections […] 10 year effort […] It was assembled from 7,000 thin slices through a female adult fly’s brain, imaged with electron microscopy and annotated by AI to identify neuron types and connections.

Compared to house mouse at 71M and human at 8.6×10^10.

And how much power does it use?