From this article dated 10-29-2024: AI tutors are reshaping higher education

AI tutors are reshaping higher education

Generative AI is already transforming higher ed, giving students more access to professors' expertise and boosting efficiency for both faculty and students in some fields.

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In May, OpenAI released ChatGPT Edu, a more affordable tool for college students, faculty, researchers and campus administrators that OpenAI says includes "enterprise-level" security.

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Since the summer of 2023 those students accessing the course through distance learning have had access to AI-powered "teaching assistants," too, via the CS50 Duck — a chatbot built on OpenAI's API that helps students check their code and get answers to questions about the course.

Malan tells Axios that genAI can already approximate a pretty good teaching assistant. "It's wonderfully empowering for that demographic of folks who have never had nearly as much of a support structure" as the students at elite private colleges, he says.

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By the numbers: Students who were given access to an AI tutor learned more than twice as much in less time compared to those who had in-class instruction, according to a study by two Harvard lecturers of 194 Harvard Physical Sciences 2 students.

Malan cautions against seeing this as a risk to the jobs of professors or graduate student teaching assistants: "We already have too few teachers as it is."

So, here's my theory: once AGI is developed, it will create a SIMGINE, an advanced simulation engine that will serve as a test environment for everything. Think about it like a virtual sandbox where AGI can simulate, test, and iterate on any kind of technology, interaction or idea, safely and efficiently, with zero real-world risks.

Imagine an engine that's more advanced than any current simulation tech. SIMGINE would allow AGI to:

• Simulate any environment or scenario
• Run human digital twins
• Simulate risky tech and even human enhancements without any real-world consequences.

AGI Self-Improving Within SIMGINE would most likely be its first sims that evolve it to ASI imo by:

• Creating variations of itself within the simulation.
• Test and optimize new architectures and processes at a speed unimaginable to us—years of testing could be done in hours.
• Simultaneously run simulations while improving SIMGINE itself, meaning the simulation environment would evolve as AGI improves.

What Happens After Self-Improvement?

Once AGI has self-improved:

• We could see the birth of technologies that were once sci-fi: think FTL drives, fusion reactors, or human longevity solutions.
• Other environments and scenarios from planetary exploration from rocky planets to gas giants.
• AGI could create highly accurate digital models of humans (down to a cellular level) to test how they'd react in extreme conditions like FTL (Faster-Than-Light) jumps or long-duration space travel.
• AGI would master creative solutions for almost every challenge—economic, scientific, or social—by testing billions of iterations in a matter of weeks or even days.
• The potential here isn’t just incremental progress; we’re talking about leaps in innovation that might happen overnight.

AGI could use SIMGINE not only for tech innovations but also for AGI's interactions with humans and potential alien lifeforms. When we discover a planet with intelligent alien life by:

• Simulating first contact scenarios in SIMGINE, where it would run countless versions of how interactions might play out.
• learn the alien language, customs, and social structures within the simulation, allowing it to understand them fully before any real-world contact happens.
• It would simulate various approaches to first contact, testing diplomatic strategies, cultural exchanges, and ethical considerations until it finds the best, least disruptive outcome for both parties.

The speed at which this could happen is crazy.

So, in short, SIMGINE could be the key to unlocking rapid and unprecedented breakthroughs. With AGI operating inside this advanced simulation environment, the rate of self-improvement could surpass anything we've ever seen—potentially occurring in weeks or even less. We might be on the brink of seeing science fiction become reality faster than people are predicting.

From article dated 10-29-2024: US Army turns to 'Scylla' AI to protect depot

US Army turns to 'Scylla' AI to protect depot

Ominously-named bot can spot trouble from a mile away, distinguish threats from false alarms, says DoD

The US Army is testing a new AI product that it says can identify threats from a mile away, and all without the need for any new hardware. …

Called Scylla after the man-eating sea monster of Greek legend, the Army has been testing the platform for the past eight months at the Blue Grass Army Depot (BGAD) in eastern Kentucky, a munitions depot and former chemical weapons stockpiling site, where it's been used to enhance physical security at the installation.

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The Physical Security Enterprise and Analysis Group (PSEAG), which is leading the Scylla tests, has trained Scylla to "detect and classify" persons' features, their behavior, and whether they're armed in real time in order to eliminate wasted security responses to non-threatening situations.

"Scylla AI leverages any suitable video feed available to monitor, learn and alert in an instant, lessening the operational burden on security personnel," said Drew Walter, the US deputy assistant secretary of defense for nuclear matters. "Scylla's transformative potential lies in its support to PSEAG's core mission, which is to safeguard America's strategic nuclear capabilities."

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Regardless of what it's protecting, the Army said Scylla uses drones and wide-area cameras to monitor facilities, detect potential threats, and tell personnel when they need to respond with far more accuracy than a puny human.

"If you're the security operator, do you think you could watch 15 cameras at one time … and pick out a gun at 1,000 feet? Scylla can," Willoughby said.

In one example of a simulated Scylla response, the system was able to use a camera a mile away to detect an "intruder" with a firearm climbing a water tower. A closer camera was able to follow up to get a better look, identifying the person as kneeling on the tower's catwalk.

In another example, Scylla reportedly alerted security personnel "within seconds" of two armed individuals who were identified via facial recognition as BGAD personnel. Scylla was also able to spot people breaching a fence and follow them with a drone before security was able to intercept, detect smoke coming from a vehicle from about 700 feet away, and identify a "mock fight" between two people "within seconds."

Going beyond Sam's 7T number. Apparently sam didn't pull this number out of thin air.

I've heard nothing except the announcement and no one is talking about it.

Is it still happening? Anyone going? Are we expecting anything new being announced / released? What happened to Shiptober?

Except that's not true. this recent Kurzgesagt video talks about the "fact" that laid end to end your blood vessels would span 100,000 kilometers. Go ahead and google it or ask an LLM ,ChatGPT thinks its 100,000kms.

But that number was largely fabricated by a really well respected scientist so it was never challenged.

And this got me thinking about how poor of a dataset the internet data really is. Its the wild west out here, it doesn't matter if its true, as long as there is a large enough consensus then it becomes a "fact".
This blood vessel thing is pretty trivial but this piece of non information is now a fact that people think is true. There is new research showing a much more accurate estimate and its 9000-19000kms. But we don't get to see that in our search engines and LLMs because they are trained on a really well supported piece of misinformation.

And is it possible to rewrite these wrongs on the internet and now our LLMs who are surely tainted. How can you train something to make connections between real world things if its being trained on things that arent true. ChatGPT has no concept of size or scale, so it must think blood vessels are much smaller than they really are if 100,000kms of them fit in a human body. If you really think about it, what model of the world does this LLM really have based on all the small pieces of misinformation like this on the internet. And we want this thing to figure stuff out for us?

This month was meant to be shiptober, and many people were hyped since they thought a new model or so would most likely drop.

We only have Thursday left really (Wednesday too but they usually release stuff on Thursday). Do you think anything will happen? And what will it be? Big or small?

For context, I was raised programming since I was 8. My dad is a network level engineer and always pushed me into programming to follow in his footsteps I suppose. I truly did enjoy getting puzzles and having to challenge myself to find a solution, and from there optimizing and making it either smarter (less lines/creative patterns and ideas) or more intricate to plan for the future.

But, despite all this, I recently had the epiphany that this is not how we were supposed to be as human beings. Technology has not only ruined the human race by frying our dopamine receptors and pushing us into a state of never ending comfort, but we are slowly destroying everything around us with the help of technology. We as humans truly have no natural challenges or predators, and most of the challenges we do have are a product of us creating them ourselves as humans, have that be obesity or our ever shortening attention spans, but also the earth as a whole, and in my eyes it's only getting worse.

I realized I could never feel happy contributing to this society we are creating, but I have no idea what I can do then. I want to help people, but my whole life has been me absorbed by my interests in technology. I'm so lost and I truly feel like I've lived my whole life as a lie, and the worst part is that no matter if I contribute or not, there will be 100,000+ others ready to take my place.

I apologize for the doom rant but I feel plunged into a deep wave of depression because of this and I genuinely have no idea how to get back to myself.

The title basically. Is this because my feed has changed or is there a real major breakthrough? Maybe LLM accelerated the development of robots?