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.

This is truly a terrible accident. Given the flight tracking data and the cold, winter weather at the time, structural icing is likely to have caused the crash.

Ice will increase an aircraft’s stall speed, and especially when an aircraft is flown with autopilot on in icing conditions, the autopilot pitch trim can end up being set to the limits of the aircraft without the pilots ever knowing.

Eventually the icing situation becomes so severe that the stall speed of the ice-laden wing and elevator exceeds the current cruising speed and results in a aerodynamic stall, which if not immediately corrected with the right control inputs will develop into a spin.

The spin shown in several videos is a terrifying flat spin. Flat spins develop from normal spins after just a few rotations. It’s very sad and unfortunate that we can hear that both engines are giving power while the plane is in a flat spin towards the ground. The first thing to do when a spin is encountered is to eliminate all sources of power as this will aggravate a spin into a flat spin.

Once a flat spin is encountered, recovery from that condition is not guaranteed, especially in multi-engine aircraft where the outboard engines create a lot of rotational inertia.

Valve is a unique company with no traditional hierarchy. In business school, I read a very interesting Harvard Business Review article on the subject. Unfortunately it’s locked behind a paywall, but this is Google AI’s summary of the article which I confirm to be true from what I remember:

According to a Harvard Business Review article from 2013, Valve, the gaming company that created Half Life and Portal, has a unique organizational structure that includes a flat management system called “Flatland”. This structure eliminates traditional hierarchies and bosses, allowing employees to choose their own projects and have autonomy. Other features of Valve’s structure include:

• Self-allocated time: Employees have complete control over how they allocate their time
• No managers: There is no managerial oversight
• Fluid structure: Desks have wheels so employees can easily move between teams, or “cabals”
• Peer-based performance reviews: Employees evaluate each other’s performance and stack rank them
• Hiring: Valve has a unique hiring process that supports recruiting people with a variety of skills

It took Hawking minutes to create some responses. Without the use of his hand due to his disease, he relied on the twitch of a few facial muscles to select from a list of available words.

As funny as it is, that interview, or any interview with Hawkins contains pre-drafted responses from Hawking and follows a script.

But the small facial movements showing his emotion still showed Hawking had fun doing it.

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.

“If it wasn’t hard, it wouldn’t be worth doing”

AFAIK, there’s nothing stopping any company from scraping Lemmy either. The whole point pf reddit limiting API usage was so they could make money like this.

Outside of morals, there is nothing to stop anybody from training on data from Lemmy just like there’s nothing stopping me from using Wikipedia. Most conferences nowadays require a paragraph on ethics in the submission, but I and many of my colleagues would have no qualms saying we scraped our data from open source internet forums and blogs.

I’m convinced that we should use the same requirements to fly an airplane as driving a car.

As a pilot, there are several items I need to log on regular intervals to remain proficient so that I can continue to fly with passengersor fly under certain conditions. The biggest one being the need for a Flight Review every two years.

If we did the bare minimum and implemented a Driving Review every two years, our roads would be a lot safer, and a lot less people would die. If people cared as much about driving deaths as they did flying deaths, the world would be a much better place.

The victims have beed identified as the owner of the flight school, a flight instructor, and a student.

https://www.wtnh.com/new-england-news/no-survivors-after-plane-crash-in-greenfield/

I hate that I am defending Israel when I say this because what is occurring in Gaza is tragic, but a lot of people are confusing “Genocide” for perceived “War Crimes” as defined by international law and also confusing “Hamas” for “Palestine” or the “Palestinian Authority”.

Hamas is terrorist government (similar in nature to the Taliban) that receives a lot of external funding from countries that actively wish to see the death of Israel and all Jews, making Hamas the chief perpetrators of Genocide in this conflict despite how ineffective they have been in their goals.

Israel was attacked by this terrorist government, and is now defending itself with the expressed war goal of destroying Hamas. While Israel has had a tenuous relationship with the Palestinian people (namely the government’s active efforts to limit the Palestinian Authority and drag their feet on grant the PA more autonomy and their own state which is deplorable and inexcusable), they do not and have not wished to kill an entire culture of people.

Complicating matters, Hamas commonly employs warfare techniques that go against the Geneva Convention like placing government and military headquarters in basements of protected buildings like Hospitals and places of worship. The moment they do that, and abuse those international recognized sanctuaries, they become legitimate military targets leading to the tragic deaths of unwitting civilians.

People can object to the war on the grounds that war is tragic and results in many civilian casualties, but to make meritless claims is detrimental to both international institutions and to the definition of a Genocide. South Africa calls what Israel is doing a genocide, but also explicitly looks the other way with Ukraine and continues to forge close ties with Putin? (For the record, Russia’s actions in Ukraine are also not considered genocide under it’s strict international definition, but they have been found guilty of war crimes).

Israel has an internationally recognized right to defend itself, and it is doing that by dismantling Hamas through force. The Palestinian people are unfortunately caught in the crossfire. With that said, Israel’s methods to this end are not above criticism, and they have faced pressure from the US and Biden to limit civilian casualties wherever possible, and use ground forces to directly attack Hamas rather than relying on airstrikes that have resulted in many innocent deaths.

For those reading who think all war is bad, I’ll leave you with this quote from John Stuart Mills:

War is an ugly thing, but not the ugliest of things: the decayed and degraded state of moral and patriotic feeling which thinks that nothing is worth a war, is much worse. When a people are used as mere human instruments for firing cannon or thrusting bayonets, in the service and for the selfish purposes of a master, such war degrades a people. A war to protect other human beings against tyrannical injustice; a war to give victory to their own ideas of right and good, and which is their own war, carried on for an honest purpose by their free choice, — is often the means of their regeneration. A man who has nothing which he is willing to fight for, nothing which he cares more about than he does about his personal safety, is a miserable creature who has no chance of being free, unless made and kept so by the exertions of better men than himself. As long as justice and injustice have not terminated their ever-renewing fight for ascendancy in the affairs of mankind, human beings must be willing, when need is, to do battle for the one against the other.

The actual study claims that top 10% is $41k and accounts for 50% of carbon emissions. No where does it normalize incomes for those from Kenya as the article claims. So these incomes are viewed globally. If you are in the US and make more than $20/hr hours a week, you are top 10%.

$67/hr makes you top 1%.

Others are calling to eat the rich without realizing that the global rich includes low wage earners flipping burgers at McDonald’s (I’m in Boston and minimum wage is $15/hr and an assistant manager can be hired for $22/hr).

https://oxfamilibrary.openrepository.com/bitstream/10546/621551/2/cr-climate-equality-201123-en.pdf

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.

You would think so, but there is one river that happens to flow and split over the continental divide called North Two Ocean Creek. It’s the tiniest technicality that makes this map technically true.

https://en.wikipedia.org/wiki/Two_Ocean_Pass

Yes, but you fail to understand the difference between a peninsula and a psuedo-island (a piece of land entirely surrounded by any body of water, artificial or manmade).

The Colorado River starts in Colorado is does not flow over the continental divide.

Not quite, this was made with a ControlNet. A hybrid image wouldn’t work as well as this does. But the underlying visual phenomena is the same.

This is done by combining a Diffusion model with ControlNet interface. As long as you have a decently modern Nvidia GPU and familiarity with Python and Pytorch it’s relatively simple to create your own model.

The ControlNet paper is here: https://arxiv.org/pdf/2302.05543.pdf

I implemented this paper back in March. It’s as simple as it is brilliant. By using methods originally intended to adapt large pre-trained language models to a specific application, the author’s created a new model architecture that can better control the output of a diffusion model.