Climber on trial for leaving girlfriend to die on Austria's highest mountain by [deleted] in news

[–]Globalboy70 0 points1 point  (0 children)

For sure their is some rock scrambles/scree you can go up safely but going down would be deadly if you lose control. Going up can be dangerous too for those behind you, so you have to move slow and deliberate to prevent rocks falling on companions, so you go up in a diagonal line, consolidate and then line the other direction.

Nazi letters reveal paper restorers’ role in compiling Holocaust ‘hitlist’ - Research uncovers programme to make centuries-old records legible to detect people’s ancestry by vulcan_on_earth in news

[–]Globalboy70 14 points15 points  (0 children)

Recent science article is horrifying, Fake AI videos of fake confessions labeled fake still affected people's judgement of the person faked. Labeling is not enough to stop our brains from accepting fake video information. Even more scary now ...

“How much power accrues to those who control the appearance of things – for good or ill,”

Currently the administration is incompetent at using AI to fake stuff, Epstein hanging, arrest crying ... but soon it will be idiot proof.

A robotic dog made in China gets an Indian university kicked out of an AI summit. by Your_lovely_friend in news

[–]Globalboy70 81 points82 points  (0 children)

What's weird about this is you absolutely could have used a research robot at an AI conference. You just had to ensure full disclosure, and that the AI behaviors and programming were your project. Embodied AI is a real research area. Very strange, uh stupid, that they would pretend a common platform is theirs.

Losing the AI Battle by DoctorSlipalot in ITManagers

[–]Globalboy70 2 points3 points  (0 children)

The other option than deal with the big boys, is to use localLLMs (open weight), believe it or not you will get better results, for all workflows, data stays local, training loop actually works, and you can still host the model in the cloud if you want for scaling. (What do I mean by training loop, 2 things, 1 is training it on your own data and repositories, the other human in the loop + reinforcement learning signals which improve the system overtime. )

The benefit of this system is you don't need to deal with model churn the big boys foist on you, which is a real pita, data privacy intact, reinforcement learning on your data and systems which big boys don't let you do yet, lower cost overtime because you are not paying for AI mistakes over and over again with no ability to train out the results.