It was probably the other O'Neil, with one L. He has no sense of humour at all.

I could understand bots and mailing lists. The thing I never understood with LinkedIn was how many real people (usually recruitment agents) had apparently spent the time to read my profile and send me a personalised message, yet still thought I'd be interested in a job paying half the market rate for someone with my skills and experience.

I don't know what you mean. Look at the improvement in hiring when you can advertise an open position on LinkedIn and get maybe 100x as many applicants as before! OK, probably 99% of them will be completely unqualified for the role and barely capable of pushing the instant application button, but how is that a problem, really? Surely hiring managers can easily filter them out and no qualified applicant will ever get lost in the noise?

It's like a video I saw on YouTube the other week. Someone was talking all about "skills" for their AI agents and how they'd automated so much of their workflow using them. They started the video by kicking off four different tasks for separate agents to show how productive it was to have all this stuff happening in parallel and how it was so quick and easy to organise.

One of the tasks involved producing an infographic about a certain topic, and the AI duly produced one based on a one-liner prompt, taking only a few seconds of the presenter's time and with no further input from them about the content. The infographic had exactly the level of quality you'd expect from this: a load of boxes and arrows (with some of those arrows starting or finishing floating in space without connecting anything) and some words (a few of which might have been related to the topic mentioned in the prompt).

That infographic was the only substantial output from the whole exercise. It was the worst kind of AI slop imaginable, generated with literally no thought or oversight from the presenter beyond a couple of words about the topic as part of that one-liner prompt. This was probably about the average level of the LinkedIn posts I used to see before I left as well. As you said, I'm not sure you can be a "thought leader" without doing any thinking.

I stopped using LinkedIn when they seemingly decided my account wasn't about me (despite having obvious and publicly verifiable details right there in the description) and wanted me to verify my ID using one of the US-based services with a questionable reputation to get my access back. That's not going to happen, so I just don't use the site any longer.

As far as I can tell, that has made zero difference to my career, and it's one fewer drain on my time. The only thing I have missed is seeing the occasional good news story where a past colleague has been promoted or the like, but I'm not giving up my government-issued credentials to the US-based data harvesting industry for that.

I'm still impressed that the Teams web client can't edit a message with an emoji in it without messing up the keyboard controls and often corrupting the message and losing data. It's had this bug for years. It's literally a messaging app where you can't reliably send messages.

I just wanted to let you know that you have successfully driven me off of /., after some 25 years.

Not just you, obviously, the site has been in steep decline for a long time, but you were such a huge asshole that you managed to be the last straw. So, congrats for that. I won't be back.

And he knows this is the "only hypervisor bug left" because...he hasn't been able to find another one yet?

This smells like some dude saying "AI is better than me at my hobby, so I'm taking my ball and going home!"

More like 99.99%. Maybe need some more nines in there. Large C codebases without regular critical CVEs are basically nonexistent.

What bankruptcy-prevention actions are they asking for?

15-25 kWh drawn by the utility is quite a bit! I hope they're paying him well for that.

They're bringing outside scrutiny into their processes; that's going to slow them down, too.

Not "at the same time". You're conflating what AI can do now with what it will likely be able to do in a year or five, or 20.

Amodei and others are worried about what AI that doesn't yet exist may do, not about what current-generation AI can do. AI is getting better, very quickly, and unless there's some blocking obstacle that no one has been able to identify will at some point become far, far smarter than humans, individually or collectively. So before that happens, we need to figure out how to make sure that superintelligent AI wants to help us, and wants to do it in the right way.

Is this actually a substantial amount of energy? I'm in Utah (Rocky Mountain Power) and RMP also pays me to use my batteries... but the amount of energy they draw is tiny. 8-10 times per week they draw on my batteries, but it's like 4 kW peak draw (my batteries can sustain 20 kW), and generally for less than 30 seconds, so in any given week I'm only contributing like 0.2 kWh. As I understand it, this is because RMP uses my batteries not really to "serve loads", per se, but just as grid stabilization; brief backfill to keep the voltage from sagging.

Obviously my batteries do serve *my* loads, which reduces the load on the grid, but that's not what RMP pays me for.

Does CA make heavier use of residential batteries to feed the grid?

And JD Vance called him Hitler. Trump accepts changes of heart as long as they include sufficient groveling and self-humiliation. SBF's problem is he doesn't currently have any money, and doesn't have a lot of friends to put up cash for him either. If SCOTUS will overturn his fine on a technicality and he can get some or all of that money back, then he'll have the cash to buy a pardon. Obviously he needs to get it done in the next 2 years, four months.