Absolutely air traffic in the sky should be identified. There is no problem with that, but it’s the idea that it is too easy to find out everything about an aircraft owner by simply seeing the number on their tail.

The rich guys obfuscate that info with shell corps to own the aircraft.

Shouldn’t everyone have the right to the same level of privacy regardless of how much money they have?

No you cannot. You cannot easily find someone’s address from looking at their plate. You need more information, or to do some advanced searching. It is simply not the same.

It is different because you typically need to know the municipality I live in first.

Also the registration allows anyone to track me anytime I fly.

How would you feel if you had a public gps transponder on your car publicly showing who you, where you are, and where you live? Also what if you are required to plaster that registration number on the side of your vehicle in large letters that can be seen from a block away?

It’s a massive invasion of personal privacy.

Shitposters ride for free

This is actually most helpful to the little guys that own $20,000 airplanes.

I have a small airplane and it’s always bothered me that my name and address are publicly accessible through the FAA registry.

Most pilots I know are careful about photos they publish online showing their tail number printed in large bold letters on either side of the aircraft. This registration number can be entered into websites like flightaware.com and someone is literally two clicks from seeing my full name and home address.

Well, OpenAI has clearly scraped everything that is scrap-able on the internet. Copyrights be damned. I haven’t actually used Deep seek very much to make a strong analysis, but I suspect Sam is just mad they got beat at their own game.

The real innovation that isn’t commonly talked about is the invention of Multihead Latent Attention (MLA), which is what drives the dramatic performance increases in both memory (59x) and computation (6x) efficiency. It’s an absolute game changer and I’m surprised OpenAI has released their own MLA model yet.

While on the subject of stealing data, I have been of the strong opinion that there is no such thing as copyright when it comes to training data. Humans learn by example and all works are derivative of those that came before, at least to some degree. This, if humans can’t be accused of using copyrighted text to learn how to write, then AI shouldn’t either. Just my hot take that I know is controversial outside of academic circles.

Yah, I’m an AI researcher and with the weights released for deep seek anybody can run an enterprise level AI assistant. To run the full model natively, it does require $100k in GPUs, but if one had that hardware it could easily be fine-tuned with something like LoRA for almost any application. Then that model can be distilled and quantized to run on gaming GPUs.

It’s really not that big of a barrier. Yes, $100k in hardware is, but from a non-profit entity perspective that is peanuts.

Also adding a vision encoder for images to deep seek would not be theoretically that difficult for the same reason. In fact, I’m working on research right now that finds GPT4o and o1 have similar vision capabilities, implying it’s the same first layer vision encoder and then textual chain of thought tokens are read by subsequent layers. (This is a very recent insight as of last week by my team, so if anyone can disprove that, I would be very interested to know!)

I don’t know why you are mentioning Starship when I made no mention of that. Starship HLS is also a dumb idea, but that’s beside the point.

SLS is horribly expensive for what it provides.

The Defense Production Act could be used to meet these ends. SpaceX is a defense contractor and exists at the privilege of the US Government for the US Government.

Coming from several people who work with SpaceX, there is a dedicated group of people that exist to distract Elon from all vital SpaceX functions.

SLS is on track to be more expensive when adjusted for inflation per moon mission than the Apollo program. It is wildly too expensive, and should be cancelled.

This coupled with the fact that the rocket is incapable of sending a manned capsule to low earth orbit which is the the lunar gateway is planned to a Rectilinear Halo Orbit instead.

Those working in the space industry know that SpaceX’s success is not because of Elon but instead Gwynne Shotwell. She is the President and CEO of SpaceX and responsible for all things SpaceX. The best outcome after the election is to remove Elon from the board and revoke his ownership of what is effectively a defense company for political interference in this election. Employees at SpaceX would be happy, the government would be happy, and the American people would be happy.

The technical definition of AI in academic settings is any system that can perform a task with relatively decent performance and do so on its own.

The field of AI is absolutely massive and includes super basic algorithms like Dijsktra’s Algorithm for finding the shortest path in a graph or network, even though a 100% optimal solution is NP-Complete, and does not yet have a solution that is solveable in polynomial time. Instead, AI algorithms use programmed heuristics to approximate optimal solutions, but it’s entirely possible that the path generated is in fact not optimal, which is why your GPS doesn’t always give you the guaranteed shortest path.

To help distinguish fields of research, we use extra qualifiers to narrow focus such as “classical AI” and “symbolic AI”. Even “Machine Learning” is too ambiguous, as it was originally a statistical process to finds trends in data or “statistical AI”. Ever used excel to find a line of best fit for a graph? That’s “machine learning”.

Albeit, “statistical AI” does accurately encompass all the AI systems people commonly think about like “neural AI” and “generative AI”. But without getting into more specific qualifiers, “Deep Learning” and “Transformers” are probably the best way to narrow down what most people think of when they here AI today.

You do realize that every posted on the Fediverse is open and publicly available? It’s not locked behind some API or controlled by any one company or entity.

Fediverse is the Wikipedia of encyclopedias and any researcher or engineer, including myself, can and will use Lemmy data to create AI datasets with absolutely no restrictions.

Agreed.

Nevertheless, the Federal regulators will have an uphill battle as mentioned in the article.

Neither “puffery” nor “corporate optimism” counts as fraud, according to US courts, and the DOJ would need to prove that Tesla knew its claims were untrue.

The big thing they could get Tesla on is the safety record for autosteer. But again there would need to be proof it was known.

I am a pilot and this is NOT how autopilot works.

There is some autoland capabilities in the larger commercial airliners, but autopilot can be as simple as a wing-leveler.

The waypoints must be programmed by the pilot in the GPS. Altitude is entirely controlled by the pilot, not the plane, except when on a programming instrument approach, and only when it captures the glideslope (so you need to be in the correct general area in 3d space for it to work).

An autopilot is actually a major hazard to the untrained pilot and has killed many, many untrained pilots as a result.

Whereas when I get in my Tesla, I use voice commands to say where I want to go and now-a-days, I don’t have to make interventions. Even when it was first released 6 years ago, it still did more than most aircraft autopilots.

I’m an AI researcher at one of the world’s top universities on the topic. While you are correct that no AI has demonstrated self-agency, it doesn’t mean that it won’t imitate such actions.

These days, when people think AI, they mostly are referring to Language Models as these are what most people will interact with. A language model is trained on a corpus of documents. In the event of Large Language Models like ChatGPT, they are trained on just about any written document in existence. This includes Hollywood scripts and short stories concerning sentient AI.

If put in the right starting conditions by a user, any language model will start to behave as if it were sentient, imitating the training data from its corpus. This could have serious consequences if not protected against.

I am a satellite software engineer turned program manager. This is not unexpected in this current environment, however the conditions that created the environment are abnormal.

This solar cycle is much stronger than past cycles. I’m on mobile, so I can’t get a good screenshot, but you can go here to see this cycle and the last cycle, as well as an overlay of a normal cycle https://www.swpc.noaa.gov/products/solar-cycle-progression

As solar flux increases, the atmosphere expands considerably, causing more drag than predicted. During periods of solar minimum, satellites can remain in a very low orbit with minimal station keeping. However, at normal levels of solar maximum, 5 year orbits can easily degrade to 1 year orbits. Forecasters says we are still a year away from solar maximum, and flux is already higher than last cycle’s all time high (which was also an anomalously strong cycle). So it will get worse before it gets better.

TLDR: Satellites are falling out of the sky because the sun is angy

The only upside I can think of is they’d actually start caring about the planet instead of thinking they’ll be dead in 100 years anyway.

All politicians, including Bernie must cater to the rich and wealthy. It’s our jobs as voters to discern the true reason why they do it. It’s a cruel reality that without the support of the wealthy, no one will make it to congress to effect change. Every successful politician knows this very well. They know not to bite the hand that feeds, so each one (*that works for progress and not personal gain) must walk a very thin line to effect that change while also making sure they aren’t removed from office for fear that whatever they did could quickly be undone.

Bernie is in it for the right reasons. Biden and Clinton were in it for the right reasons. Having personally interacted with a few politicians in private settings (no cameras or hidden recorders) I can say that even some Republicans are in it for the right reasons, but differ in ideology and how to effect that change. In the end they play a fictional role when tv cameras are around.

Personally, I was most impressed by my interactions with Marco Rubio of all people. He’s exceptionally bright, and cares very deeply about the protection of this country, and it’s a very good thing he is vice chairman (or chairman during Republican senates) of the Senate Intelligence Committee as it seems to be his calling. It’s just unfortunate that in front of the cameras, he needs to dumb himself down in order to get elected by Republican voters.

As an Alaskan voter, ranked choice is the only reason we have a female, Native American, Democrat congressional representative instead of Sarah Palin filling Don Young’s deep red legacy. RCV is equitable and works, but not in the way progressives hope. It allows for the most centrist candidate to be chosen that appeals to the most possible people. A two party system just becomes a battle of political extremes. And like it or not, being progressive is far left for a reason, especially in America. And I consider myself fairly progressive leaning.