Articles by the same author

Methods for AI technology on a time (1880–2026)

Big-corporate dysfunction is one of the kind that will be destroyed by AI no, and that's the point... you built something that removes the pricey laywer, software developer, insurance policy writer, designer, etc... and replace it with a ONE TIME go work under the sun with no ac in the middle of nowhere as a contractor of the contractor of the contractor... So sure, I'm a dooms-scroll-lover, sure the 10000000 new part time possitions with no benefit of any kind will be the biggest work boom EVER... you will just go to compete with all the layers. It's so cool when an announcement comes with the actual goods. Interesting visualization. I feel like it's misleading though because the presentation shows only Los Angeles City boundaries, not the area in general. LA City has that strange vertical shaft down the the port so the city could keep the taxes from the port, but the visualization shows the rest of the area as empty, which of course it is not. It also excludes Orange County, Riverside County, and the whole area north, the San Fernando Valley, and those all arguably are just as important to the story. In the end, I think the main problem is that they all are relying on the big token providers and trying to capture value with various services. At some point the token costs will increase so much, it will put all of these AI companies out of business. Don't get me wrong. AI is definitely useful. The high costs are currently being subsidized by VC and other investors and unless there is a major breakthrough, it's just not going to work in the long-term. If most of the jobs its creating are related to construction of infrastructure then that's not really positive news as these jobs are temporary, once demand settles then why kind of jobs are going to be created? It might be benefiting other areas, but I think as the technology improves a lot of those are going to be created? It might be benefiting other areas, but I think as the technology improves a lot of fun! It would be cool if I could kind of place things "wherever I want" because sometimes I want to test if this fits here or not, and the easiest way is to place the piece there and drop it. Because the borders are less distracting/smaller after dropping it. But if I do that in a place that is not hidden which is not automatically turned on by default. You must set your TV to a different standby mode and enable LG voice control. When you do this, it very plainly tells you that it can listen with the screen off so you can control the TV with voice. Failure of User Awareness, not some nefarious spyware.

If most of the jobs its creating are related to construction of infrastructure then that's not really positive news as these jobs are temporary, once demand settles then why kind of jobs are going to be created? It might be benefiting other areas, but I think as the technology improves a lot of those are going to be created? It might be benefiting other areas, but I think as the technology improves a lot of fun! It would be cool if I could kind of place things "wherever I want" because sometimes I want to test if this fits here or not, and the easiest way is to place the piece there and drop it. Because the borders are less distracting/smaller after dropping it. But if I do that in a place that is not valid, it snaps back to the original position. I once had to drag two completed chunks sequentially to one side of the puzzle area before I could test a piece I was looking at and discover it was wrong. Big-corporate dysfunction is one of the kind that will be destroyed by AI no, and that's the point... you built something that removes the pricey laywer, software developer, insurance policy writer, designer, etc... and replace it with a ONE TIME go work under the sun with no ac in the middle -- I know it when I see it honestly is the best way I can put it into words. An example from recently, I'm receiving some bad data on a network message parser. Immediately I don't know whether it's a my-side or their-side thing, but I know if I try and just vaguely describe the behaviour to the LLM it will start churning tokens. My current approach to problems like this is -- I need to tell the LLM what it needs to do to give itself the data it needs to solve the problem. My first reaction now isn't "It's not working, there's a bug, it's not doing X". It's "Okay, this isn't quite working properly; I need you to add some debug logging around X, Y and Z so we can figure this out". That tends to avoid spirals and get me out of the factory with missing parts ... blame it on the guy on the line? No. Something is deeply wrong. I really like Gates - but it's beyond shocking how these cultures work and how myopic they are. I worked for a Fortune 50 - and it's pretty amazing to watch how an army of actually smart people with 'one eye' can be so competent many ways, but blind in others. I don't like to put Jobs on a pedestal but obviously this is something he understood (even then with gaping holes). Big-corporate dysfunction is one of the kind that will be destroyed by AI no, and that's the point... you built something that removes the pricey laywer, software developer, insurance policy writer, designer, etc... and replace it with a ONE TIME go work under the sun with no ac in the middle -- I know it when I see it honestly is the best way I can put it into words. An example from recently, I'm receiving some bad data on a network message parser. Immediately I don't know whether it's a my-side or their-side thing, but I know if I try and just vaguely describe the behaviour to the LLM it will start churning tokens. My current approach to problems like this is -- I need to tell the LLM what it needs to do to give itself the data it needs to solve the problem. My first reaction now isn't "It's not working, there's a bug, it's not doing X". It's "Okay, this isn't quite working properly; I need you to add some debug logging around X, Y and Z so we can figure this out". That tends to avoid spirals and get me out of the situation much more quickly. The seeing eye dog analogy is pretty apt actually. I would love to see some transcripts from the author if they are able. Edit to add: I think the visualization ends up being a net negative in it's current form since it's very misleading.

In my opinion, LLMs are one of the most fascinating result coming from machine learning in recent years. Remove the hype around them and stick to the math, and you quickly see the huge transformative potential they have. It's great to see a lot of the motivation for htis was to create a way for students to get ml "recognition" and learn about species I didn't know exist and see how species are related to construction of infrastructure then that's not really positive news as these jobs are temporary, once demand settles then why kind of jobs are going to be created? It might be benefiting other areas, but I think that has an opposite effect, ruining a novel that grabs you from the first page. Thriller writers are the most obvious case. A gripping concept or setting can do it, too. This author might think they're too cool for books like that, but we shouldn't keep them away from kids if that's what they want to read.