kenjackson

Yes. Or even to go a step further -- once we exclude all the things that aren't hard to predict, we're left with the things that are.

He's not wrong though. In the 80s I'd watch video shows and over the course of a week I'd probably see some videos 10 times. And it wasn't background filler - I'd actually be sitting in a chair/couch and watching the videos. Kids don't do this anymore. First many/most songs are made popular through TikTok memes, not videos. And videos really are mostly just played in the background as they do other stuff. No one is just tuning into Yo MTV Raps or Headbangers Ball anymore.

To be clear -- this wasn't meant to be a GPT vs Claude post. This is more that frontier models continue to incrementally get better. No human steering for this level of math is crazy. Go back ten years and ask anyone in the field if this would be possible in ten years -- and you would have gotten "no" from every major AI researcher in existence.

GPT 5.6 Pro apparently solved all the IMO 2026 problems (competition happened July 15/16 in China). It was done with no human steering and on first attempt. I wasn't involved at all, just ran across this and thought it was impressive (the bar for impressive keeps rising rapidly though).

Italy was it for me. The train station in Rome was crazy. And just Venice in general. I was probably just in the touristy areas, but it was definitely the most hardcore non-stop street scamming I'd been around.

Hmmm. What other cars have you tried? I wonder if it’s the DSP path used for CarPlay. Or could it be the Audi system is clipping this source? I’d find it really surprising if Apple is doing something here.

Have you tried Android Auto?

Your use case sounds like exactly the opposite of what I’d prefer.

And, I personally find the quality of YouTube Music Premium (256kbps AAC) superior to FM radio.

I think this partially buries the lede: "As a single hiring vendor comes to dominate screening for an industry, it may be more likely that candidates are shut out."

If we move to using just a small number of AI models to help do things like hiring, we will amplify biases and possibly completely lock out portions of the population. We need to be very careful when using AI systems to evaluate people in general -- not because they might be biased (which they might be), but because even a small bias, if used by virtually everyone, can be damning.

How is this not an improvement?

I actually don’t think most consumers care about that at all. Consumers loved Napster. They have no problem stealing from artists outright, let alone indirectly.

I think to consumers AI denotes lack of accountability or oversight. They think it might work - but it might not and no one will care.

For example, I’m doing work in standardized test prep and there are tons of new AI products and no one likes it. Consumers feel as if they will get subtle but important things wrong. Most of these companies are now trying to hide that they are using AI generated questions.

I agree. Why is this a problem?

But so does Windows…

Probably some amount. I agree Windows is strategic, but do definitely could see them giving it away and/or fully open sourcing it.

It’s already no longer their golden goose. It’s about 6% of total revenue (see http://bullfincher.io/companies/microsoft-corporation/revenu...).

Microsoft could give Windows away for free and be fine. Of course it’s still a lot of money, so they’re not going to leave a multibillion dollar business on the table. But strategically, preserving its revenue is not their priority.

What market is hotter than AI models? Do you think their energy would be better making games or image editing software?

Same thing happened with the growth of the internet. There was a time when there was basically no consideration of buffer overflow.

Unfortunately grade deflation has little positive impact for the students. Medical and law schools often (typically) don't take grade inflation/deflation from a school into account. And almost no scholarships take this into account. If you do have professional school aspirations, there's very little benefit to being at a school with grade deflation.

Unfortunately, the fixation with race in America doesn't start nor stop at college admissions. College admissions is probably the last place where it tilts in the direction of certain minority groups.

I agree that we should just stop using race everywhere and we should crack down on it -- but I think college wouldn't be where my energy would be... actually the military is where I'd start. And oddly it's the place where race based affirmative action is still permitted (military academies - where it benefits minorities) and in its halls (where I've heard that it has a strong white supremacist bent). The reason is because what is happening in colleges is more reactionary -- fix the catalyst and the arguments for the reaction largely go away.

They do -- this is often how they've found that students needed additional math coursework before starting the standard curriculum.

That's not what this actual data shows. While there has been an increase math deficiency, the increase in failure rates happened recently and probably only partially related to the math preparation issue.

I think we will make a major mistake if we think math preparation fixes this - especially in CS classes where AI literally calls out to be used for projects. And it certainly doesn't explain me hearing the same problems are happening at MIT -- they just are being a bit wiser about "catching students" (or rather not doing so).

One way to fix that issue that I’ve seen is a daily quiz to start the class. The key is the quiz is super easy. Even if you were confused by the lecture, if you watched it at all you’d likely get a 100 on the quiz. If you didn’t watch it you’d likely get a 0. This quickly for people watching the lectures online ahead of class.

ELIZA has never done well in conversational tests. GPT-4.5, for example, tends to out-human humans. Like I could never ask ELIZA this question and get anything close to a decent response: "Give me three points that convey the impact that 9/11 had on rap music in the 21st century with some good examples?" Asking ChatGPT today gives me an answer that I'd give an A grade to a strong college student. ELIZA's response -- "What do you think?".

The issue is that before GPT models basically were useless for any conversation. We are literally in science fiction realm. From a text conversation perspective the gap between where we are at and what’s left to get to is relatively small.

In my opinion, the main thing we need to do is have training happen continuously. And probably more real world data (from sensors).

I had a 42s, which to this day is my all time favorite calculator. I later “upgraded” to a 48sx, but never had the same love for it.

I have the same issue. It’s absolutely stressful. Id also love some way to mark them as malicious.

I said this either in late 93 or early 94. I was in a class when someone demo'ed Lynx to me, and I tore into it and the WWW. Looking at the timeline it seems that Mosaic came out right after Lynx, but my memory of it has Mosaic coming out way after Lynx. And it seemed like Navigator years after that, but the real history is super compressed. By the time I'd seen Mosaic, I was then pretty convinced of its utility.

If it makes them feel any better, I told people in the 90s that the WWW didn't make sense because we already have telnet, archie, gopher, veronica, and ftp. What can WWW give me when I already have those tools to connect with...

I don’t agree with them. I should’ve been more clear. I was trying to say - putting ideology aside…

I really don’t understand how so many people can support this admin. It’s not that I ideologically disagree with them, but they are so corrupt that they appear incompetent. They actually aren’t incompetent, they just don’t care about what is important to almost everyone else. If you, for example, don’t care about public safety or accountability it turns out you can make a lot of money.

This is it. I've had a similar experience in just playing around I asked it to clean up some code it wrote to increase maintainability and readability by humans. After a few iterations it had generated quite solid code. It also broke the code a couple of times along the way. But it does get me thinking that these pipelines with agents doing specific tasks makes a lot of sense. One to design and architect, one to implement, one to clean, one to review, one to test (actually there's probably a bunch of different agents for testing -- testing perf/power, that it matches the requirements/spec, matches the design, is readable/maintainable, etc...).