I cannot relate to being emotionally invested in my employer to the extent that “feeling the need to break my silence” crosses my mind. Siemens is a great company but am I weird for turning my phone off at 4 o’clock.
3,811 karma · joined September 5, 2013
I’m a building automation and controls tech in Manhattan, and for this exact reason digital feedback points and alarms are always normally-closed, and analog points are 4-20mA. This allows differentiation between nominal zero values and a fault in the loop.
Disasters like this are what our best practices are borne from.
> This blog is where I write about what I find.
Why not simply include a disclaimer that it was AI model output not his own writing? Because humans don’t like AI writing and the article wouldn’t be featured on as many tech news sites. Hence the sin of omission, the choice to mislead.
Come to think of it I setup my first “date” (more like a hookup) over unix talk.
We had a legit proto social network going, all over telnet!
For example, misusing bluetooth or wifi pairing broadcasts from a client to track the client or build any type of advertising profile.
I wonder if we could learn anything from these cranky old timers.
If I remember correctly we installed Red Hat Linux ~5-6.0 on the DEC and used it for various shenanigans. In retrospect it would have been fun to get Tru64 running on it instead…
Until very recently, all of modern civilization was built by people who got their news at most once a day. Reputable bureaus like Reuters took that day to get it right.
I’m not the national security advisor, so I don’t need a push notification that there was an earthquake in Nepal, or a bullshit rush-job briefing on Chinese AI distillation tactics.
The worst scenario for a credit card issuer is when a customer, for whatever reason, starts using another bank’s card in their wallet as their daily driver.
This is an underrated CX factor: If my card gets denied when i’m a new customer or exhibiting a new pattern, i’m impressed with their software.
However if they deny a transaction where there is any previous history of me authenticating, then I’m frustrated by their naive paranoid algorithm.
Even among shareholders, a group of insiders in a conference room can self-deal to keep all the money for themselves and screw common stockholders who had no representation in that room.
The models have information about their own pre-training, RLHF, alignment, etc. because they were trained on a huge body of computer science literature written by researchers that describes LLM training pipelines and workflows.
I would argue the models are demonstrating creativity by drawing on its meta-training knowledge and training on human psychology texts to convincingly role-play as a therapy patient, but it’s based on reading papers about LLM training, not memories of these events.