cowmix

What I love is the explanation and the CONFIDENCE LLMs seem to have in giving the wrong answer.

... but it still doesn't predict actual success in my experience. I was "gifted program" adjacent growing up (all my friends were in these programs in the late 70s -> 80s) -- all earned high grades and test scores -- but many are now puzzled why they are not showered with $$ and success into present day. Well, they don't think they are successful to where they should be.

This.

> If you're having AI write your email, it probably wasn't that important.

"I hope this email finds you well." floods my inbox. Yuck.

I agree with most of that post. However, for me when I give AI tons of context (and follow up input), it helps me write emails better than pre-AI (given the same time and effort). Not putting an email I consider "important" through the AI sausage grinder is (in my case) malpractice.

My wife and I watched this over the weekend. It was nice to see that the cops in Canada can be as hapless/impediment as here in the US.

I run Resolve (Studio) on Linux/Mac/Windows and, you are right, getting it to work on used to be a pain in anything but a set version of Centos. However, this project:

https://github.com/fat-tire/resolve

.. allows one to execute Resolve in a container (Docker AND Podman)... and now Linux is my go-to env for running Resolve. Just being able to run N+1 versions of Resolve on the same workstation is a lifesaver.

FWIW, I've used them quite a few times here in Phoenix --- overall a very positive experience. The Waymo car used to be too cautious and would take weird routes but now they drive appropriately aggressive and the route selection is much better.

This is the SAME situation here in PHX. Google made Cox / Centurylink get off their collective arses.

FWIW.. my mother's childhood friend is a nun who (successfully) ran a hospital in the Buffalo NY area for years up until the late 90s/early 2000s. She was replaced by a series of "civilian" CEOs after that. AFAIK, the quality of care OR the finances of the place didn't improve one iota.

I use the Lenovo IdeaPad Duet 5 Chromebook (picked it up for $279 from Best Buy) and it is pretty amazing. OLED screen, ARM performance that's pretty good, a tablet that comes with a keyboard.

It's a great Chromebook for on the go stuff.

Why is this not upvoted more? Very good question.

Long time Google/Pixel fan... because I love pain and broken promises.

I had a buddy that wrote a Java 1.1 JVM from scratch in C back in late '97. He created it completely from the defined specification from Sun and actually found bugs in the spec. IIRC, the found bugs in the thread(s) specification. I believe his JVM was one of the first clean-room JVM implementation outside of Sun's efforts.

I dunno. I think ChatGPT has sort of made me a better communicator of requirements when talking to real people. It forces me to communicate in small, clear digestible chunks -- and that has helped me in my comms in general.

Birth order is the only thing I truly believe it. It explains so, so much about people. Sure there's the 15-20% outliers, but overall -- it is spot on.

Usenet is why I stared my ISP in '93. I loved it -- but as many people have commented here, the spam got pretty nutty for while. In fact, THIS happened on my watch.

https://www.wired.com/1999/04/the-spam-that-started-it-all/

Are you kidding me? Those are modest investments for how far behind they are and it is nothing compared to every other OEM's EV (re)investment.

That one joint venture battery plant for instance will at some point do 40GWH output a year while Tesla's Reno plan does 100 GWH a year -- right now.

Honda isn't even doing incremental steps, they are sitting it out still hoping EVs fail. That was a "safe" bet 10 years ago but completely insane now. Car companies just can't pivot on a dime, you have to ramp up your supply chain over a few years which the the Japanese OEMs are NOT doing.

In the early 2000s Toyota and Honda did hybrids right while the US OEMs sat out the first 10 year. Japan OEMS are doing that failed US OEM stragegy now for EVs... and they'll unfortunately pay for it.

My wife works for a big university and when the first "return to the office" pitch was happening, the head of HR for the whole org was on a Zoom and basically said, "If you are not back at work, you should be already. I love coming into campus and mingling with the students..." etc, etc. RIGHT at the moment, you could hear FedEX ringing his doorbell at his home. Insane.

"yes"

That's today's episode of EZ answers to EZ questions.

I've noticed that the I'm getting WAY more push notification from Reddit (mobile web) than I ever did before.

Yes, in the spirt of talking about ChatGPT I did run my response through it. It is probably the worst thing it has ever produced for me. I ring this up to ChatGPT's "declining quality". :)

As least I didn't add "I hope this response finds you well."

Heh, your spidey senses are correct. I actually wrote the response and then ran it though ChatGPT for clean up. I do agree, it actually reads weird over my original draft.

OP here. That's exactly what happened.

This is the code it found:

California Public Utilities Code § 10009.6

At the time, the Alpha chip WAS the hotness. The first x64 chip was released in 1999 (by AMD, not Intel) and there was some reasonable expectation the Alpha would be THE chip for high capacity computing and even personal computing. Also, many gov contracts at the time had stipulations that you had to be an 'open' computing platform, which included being able to run on multiple architectures.

We're all Bill Joy and Ted Kaczynski now.

Anything I put into ChatGPT I scrub the crap out of. I'm sure in the near future MSFT/OpenAI will figure out my redactions but until then...

I use ChatGPT for a wide variety of tasks throughout my day, but my favorite use case is generating one-off utilities quickly. A recent example of this was when I needed to move and reorganize approximately 1 million files from one hard drive to another over a six-week period. Unfortunately, the destination hard drive began to malfunction – I could access metadata, but file transfers to and from the drive would fail almost immediately.

With ChatGPT's assistance, I was able to create a utility that scanned the 1 million+ files on the faulty destination drive and then re-copied those files from the original source drive to a new destination drive, all while maintaining the updated directory and file structure.

My experience is that it is also pretty good a debugging its own mistakes too.