In the 70s in SF my father had his car window broken by someone who wanted to steal his parking space. He found his car pushed in front of an adjacent driveway, and ticketed.
I wonder if Local LLM spotify playlist suggestions hang together less well than frontier model spotify playlist suggestions. Like… Gavin Bryars yes, Cloud Cult yes, Tuxedomoon yes, Run DMC wait what?, Olivia Sellerio yes….
The question is are we more like farm workers who will be unemployed because of the farm or accountants who become much more valuable and high paid because of the spreadsheet?
And I am grateful for not working on a farm, it’s hard work!
It’s not necessarily the sale. Some private equity companies move from “Let’s invest like we’re shooting for the moon” to “Let’s invest like we want to improve margins and flip this on 3-5 years”
It’s not inherently wrong but it is a different model, and sometimes companies suffer as a result.
Interesting. My observation on IBM is their entire business model is:
1 - Audit your customers
2 - Buy back shares
3 - Force early retirements
It was easy to see why Watson failed in that environment. The revenue was “We’ll let you out of the $6mm audit bill if you buy $2mm of Watson”. Companies would agree, install better asset management, and never put Watson into production.
I couldn’t imagine Quantum Comouting surviving there. Spinning it off the best play.
That's Kyndryl: They spun it off into it's own entity after "IBM Global Services" had such a (deservedly) poor reputation that they were scraping the bottom of the barrel for clients and employees. Not that Kyndryl is any better, but it's enough of a rebrand that you might fool decision makers for the few minutes that it takes to get them to buy in.
they've just spun off the first quantum computer pure-play, the highest of techs, the greenest of green-fields, and your observation is "IBM doesn't do this"
I somewhat consistently use notebookLM for podcasts of academic papers I'm reading in my PhD. You have to go read it yourself afterwards but it makes better use of time in the gym or doing dishes/groceries.
> It was remarkable to see how many errors could be stuffed into 5 minutes of vacuous conversation. What was even more striking was that the errors systematically pointed in a particular direction. In every instance, the model took an argument that was at least notionally surprising, and yanked it hard in the direction of banality.
This regression towards the mean is still very much a feature of the newer models, in my experience. I don't see how a model that predicts the most likely word based on previous context + corpus data could possibly not have some bias towards non-novelty / banality.
The bantering of the podcast I found distracting and the breathless enthusiasm. I guess there was a way to make it more no nonsense? I found I lost content if tuned for brevity.
I just use elevenreader for this. I copy in essays or whatever text I want to listen to and it works decently well. It's far from perfect, but certainly good enough.
Sometimes I'll take deep research output and listen to it too that way.
I used it most key to learn about history. There isn’t much damage if it got 1600s or 1700s detail wrong. My high school teachers got much of it wrong too.
I also like doing that for topics that I am tangentially interested in. One minor thing that I find annoying is that the narrators switch roles in the middle of conversation. They start with the female voice explaining a concept to the male voice and suddenly they switch. In the meantime I have identified myself with the voice being explained to.
Okay but the user is describing listening to papers, then having to read the papers because listening to them isn't efficient. So why bother listening to it in the first place if you're going to read it?
No, reading verbatim from a technical paper is way too dense. You need a lot of filler words to slow it down and repetition to make it stick when read aloud.
Writing a book takes like 2-3 years on average. Papers are published everyday. Having a cute two-person "conversational chat" w/ audio works for a lot of people vs. just reading a paper. "No benefit" to you perhaps. Don't generalize the lived experience.
Okay but this person is literally saying that listening with LLM tools isn't helping their understanding and they have to still read the paper... why listen at this point? Why listen using a tool that literally causes you to do more work?
We all have the same amount of time on this Earth, saying how great a tool is that is causing you to do more work is just... weird?
It's not just software: I use my Vision Pro (now in year 3) less than once a month now, and each time I do the painful/awkward/unpleasant set-up and prep and difficult interface sours me on the device yet again, until a new blockbuster movie like "Project Hail Mary" appears that when watched on the VP in 4K on a virtual 40-foot screen blows my mind.
I worked at a Lotus shop in the 90s. It was great until everyone moved to the web, and then it got too clunky. Fat clients that stored tons of data locally weren’t the thing anymore.
When that company moved off of Notes despite the massive investment, the writing was on the wall even if the product survived for a few decades under IBM.
Any one loan may be risky, but in aggregate the rates compensate for it.
They pay you 0-4% for the money in your checking account and lend it at 1-3% points higher. As long as they have a big enough uncorrelated portfolio, they make easy money.
And if the whole portfolio tanks all at once, the whole industry gets bailed out.
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