He and Trump are very similar. Both managed to make a bunch of other people’s money tied to their personal brand and both had a whole lot of interests trying to help build them up while simultaneously running interference to keep them from making actual decisions about businesses because those folks realized what a moron that he was, until it gets out of hand and they can’t control him anymore. It’s a perfect storm to just make the most insufferable people, idiots who have been told their whole lives by everyone how great and smart they were by an ‘in crowd’.

Even expecting Trump’s narcissism and corruption, some of his choices have been rather bizarre…

The bizarre is just being all over the place with stuff he doesn’t care about, while pandering to a bunch of interests that don’t make that much sense as a whole (Musk, Project 2025, Putin, Netanyahu, traditional GOP, other random folks).

I assume there’s a large amount of people who do nothing but write pretty boilerplate projects that have already been done a thousand times, maybe with some very milquetoast variations like branding or styling. Like a web form doing one to one manipulations of some database from user input.

And/or a large number of people who think they need to be seen as “with it” and claim success because they see everyone else claim success. This is super common with any hype phase, where there’s a desperate need for people to claim affinity with the “hot thing”.

Every LiDAR system must use at least both. LiDAR can’t tell you about lane markings, what’s on signs, and state of traffic lights.

But absolutely, you could have multiple sensing technologies and have access to the best of all worlds.

They ditched radar at a time when radar only added probably about $50 a car according to some estimates.

It may technically get a smidge more profitable, but it almost seems like it’s more about hubris around tech shouldn’t need more than a human to do as well. Which even if it were true, is a stupid stance to take when in that scenario you could have better than human senses.

Hell, they don’t even have radar anymore, despite even a lot of low end cars having that.

Technically cost savings, but it seems mostly about stubborn insistence on cameras being enough.

Moscow has been very friendly to him consistently since the 80s. All flattery and benefit, with zero demanded of him.

Ukraine is that country that declined to make up stuff about Biden in an incident that blew up into his first impeachment.

So I didn’t have high hopes

Fortunately, no respect is due

And because a friend insisted that it writes code just fine.

It’s so weird, I feel like I’m being gaslit from all over the place. People talking about “vibe coding” to generate thousands of lines of code without ever having to actually read any of it and swearing it can work fine.

I’ve repeatedly given LLMs a shot and always the experience is very similar. If I don’t know how to do it, neither does it, but it will spit out code confidently, hallucinating function names or REST urls as needed to fit the narrative that would have been convenient. If I can’t spot the logic issue with some code that isn’t acting correct, it will also fail to generate useful text that would describe the problem.

If the query is within reach of copy/paste of the top stack overflow answer, then it can generate the code. The nature of LLM integration with IDEs makes the workflow easier to pull in than stack overflow answers, but you need to be vigilant as it’s impossible to tell a viable result from junk, as both are presented with equal confidence and certainty. It can also do a better job of spotting issues within things like key values that are strings with typo than traditional code analysis, and by extension errors in less structured languages like Javascript and Python (where ‘everything is a hash/dictionary’ design prevails).

So far I can’t say I’ve seen improvements, I see how it could be seen as valuable, but the resulting babysitting carries a cost that has been more annoying than the theoretical time saves. Maybe for more boilerplate tasks, but generally speaking those are highly wrapped by libraries already, and when I have to create significant volume of code, it’s because there’s no library and if there’s no library, it’s niche enough that the LLMs can’t generate either.

I think the most credible time save was a report of refreshing an old codebase that used a lot of deprecated function and changing most of the calls to the new method without explicit human intervention. Better than tools like ‘2to3’ for python, but still not magical either.

There’s a small chance that this time could be seen as different as Putin broke a “deal” with Trump.

Putin breaking agreements with other people, ok, but Trump considers himself different and those don’t count.

Having Trump be directly involved in a broken deal might be enough of an affront to bother Trump.

Long shot, more likely Putin rationalizes it away to Trump somehow

Yeah, it does some tricks, some of them even useful, but the investment is not for the demonstrated capability or realistic extrapolation of that, it is for the sort of product like OpenAI is promising equivalent to a full time research assistant for 20k a month. Which is way more expensive than an actual research assistant, but that’s not stopping them from making the pitch.

There is fog and rain, which it also failed at.

Also, their cameras have missed light colored trailers, mistaking them for sky. So it doesn’t take much to be like the fake painted wall.

Nearly every homeowner has unrealized gains in their house value.

Edit: Also, all these unrealized gains of the very rich would also be taxed when transacted, like the retirement funds, but there are loopholes. They can leverage that wealth without “realizing” the value.

They should, but anecdotes featuring a person you somehow know beyond the specific situation are more potent.

Autopilot is not FSD, but these scenarios are supposed to be within the capabilities of autopilot to react. There’s no indication that FSD is better equipped to handle these sorts of scenarios than autopilot. Many of the autopilot scenarios are the car plowing into a static obstacle head on. Yes the drivers should have been paying attention, but again, the point is autopilot even with all the updates simply fails to accurately model the environment even for what is should be considering easy.

In terms of comparative systems, I frankly don’t know. No one has a launched offering, and we only know Tesla’s as well as we do because they opt to use random drivers on public roads as guinea pigs, which isn’t great. But again, this video demonstrated “easy mode” scenarios where the Tesla failed and another car succeeded. But all that’s beside the point, it’s not like radar and lidar would preclude fsd either way. The video makes clear the theory and reality of better sensing technology and it can only improve the safety of a system. FSD with added radar and lidar would have greater capacity for safety than FSD with just cameras. The lidar might be forgiven for cheap cars historically, but the radar is bonkers to remove as those are put on some pretty low end cars. No one else wants to risk FSD like capability without lidar because they see it as too risky. It’s not that tesla knows some magic to make cameras safe, they just are willing to inflict bigger risk, and willing to try to argue “humans are deadly too” whereas competition doesn’t even want to try that debate.

One, I don’t know if ‘autonomous no matter what’ is an important enough goal versus ADAS, but for another, the gold standard in the industry except Tesla is vehicle mounted LIDAR, with investments to bring down the tech price.

Merging data from different sources was never claimed by anyone to be too hard a problem, again, even Tesla used to and decided to downgrade their capabilities for cost. “It’s just not worth it” is a strange take on a video demonstrating quite clearly the better data from LIDAR than you can possibly get from cameras and the benefit of avoiding collisions, collisions that kill thousands a year. Even the relatively “won’t turn on unless things are perfect” autopilot has killed quite a few people, and incurred hundreds of accidents beyond that.

Already happened in my work. People swearing an API call exists because an LLM hallucinated it. Even as the people who wrote the backend tells them it does not exist

Somehow other car companies are managing to merge data from multiple sources fine. Tesla even used to do it, but stopped to shave a few dollars in their costs.

In terms of assuming there would be safety concerns, well this video clearly demonstrates that adding lidar avoids three scenarios, at least two of them realistic. As I said my standard is not “human driver” but safest options as demonstrated.

Lets assume that a human driver would fall for it, for sake of argument.

Would that make it a good idea to potentially run over a kid just because a human would have as well, when we have a decent option to do better than human senses?

True, though if we are talking about tax bracket going over 30 percent, that would be at nearly 200k, so well above those thresholds too. Of course the numbers aren’t 28 and 33, but that is the closest threshold to the example.