Hard Pass

Justice Department lawyers have repeatedly delayed or rebuffed the judge’s orders, culminating in a frustrating Thursday court hearing in which an exasperated but reluctant Sullivan floated the possibility of contempt proceedings.

“I just don’t want anyone to be blindsided if we have to go down that road,” he said. “It’s not a threat. It’s a promise. I have a job to administer justice, and I take that very seriously.”

cross-posted from: https://reddthat.com/post/71274400

cross-posted from: https://lemmy.today/post/58305824

cross-posted from: https://lemmy.world/post/50611729

Transcript

Meme format: Undertaker standing behind AJ Styles

AJ styles caption: Stubborn process consuming too much memory.

Undertaker caption: OOM Killer

A contentious live radio taping put Andrea Campbell face-to-face with a young transgender activist demanding accountability for disappearing care.

cross-posted from: https://lemmy.today/post/58305945

cross-posted from: https://lemmy.world/post/50592477

cross-posted from: https://lemmy.dbzer0.com/post/73888176

And n0︀w time to hide

In any discussion about AI’s potential, it’s important to separate the technology from the socio-political system it’s embedded in. That AIs can lack context, mix up facts, or fall for stupid tricks are all technological problems. Because the giant developers like OpenAI and Anthropic have prioritized solving them, AIs can now more easily access resources like the web or email, are more disciplined about using those resources, and are better at staying within their guardrails.

Yet AI developers do not seem to be prioritizing other technological problems. Major AI models still act far more sycophantic than humans, telling people what they want to hear even when untrue or not in their best interests. Popular AI models tend to answer questions confidently even when they lack training, knowledge, or evidence to back their claims. In both cases, AI developers choose to train models that please users with flattery and the appearance of competence, rather than constraining them to act in users’ and society’s best interests.

...

In a different political and economic system, Chinese developers are producing—and then giving away—smaller, more efficient, more affordable models. While the US government seeks to restrict China’s access to the most advanced chips, China is betting that incentivizing their tech giants to create leaner, more open models using more commodity hardware—models that can be trained with older chips and run even on personal computers—will be an advantage in achieving widespread use and, perhaps, Chinese national influence.

There's a green powered, ethically trained LLM out there: Apertus. But we're not (currently) choosing that route.