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.
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.
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.
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.
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.
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).