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Age based rule to be implemented

Yes, the NCAA's sweeping decision to adopt the "5-in-5" age-based eligibility model (allowing athletes five seasons of competition within a strict five-year window) is expected to squeeze high school recruiting.
While the new rule simplifies a notoriously confusing waiver process, it creates a math problem for high school recruits when combined with the transfer portal and new roster caps.

Why High School Recruits Will Face Tougher Math​

The shift creates a dynamic where college coaches are incentivized to favor older, proven college talent over fresh high school graduates.

1. The Death of the Redshirt "Buffer"​

Under the old rules, a coach might recruit a raw high school prospect, sit them for a year to develop (a "redshirt" year), and still get four full seasons of play out of them. Under the new model, your five-year clock starts automatically at age 19 or high school graduation. Because athletes can now play all five years, coaches can keep an experienced, 22-year-old starter for an extra season instead of replacing them with an 18-year-old rookie.
Main Street Media of Tennessee

2. Preference for "Proven Capital"​

College sports has essentially become a professionalized environment with revenue sharing and NIL (Name, Image, and Likeness). Given the choice between using a roster spot on a high school player who needs two years in the weight room or retaining a 5th-year senior who has already played 40 games of college football or basketball, coaches will increasingly lean toward experience.
PBS

3. Hard Roster Caps vs. Open Portals​

The NCAA also instituted hard roster size caps alongside the new scholarship rules (e.g., college football is capped at 105 players; baseball at 34). Because coaches have a strict limit on total roster spots and can no longer stash unlimited "walk-ons," every spot is precious. If older players occupy those spots for a 5th year, the number of open slots available for incoming high school freshmen naturally shrinks.
NCSA

The Bottom Line: High school athletes aren't being locked out entirely, but the "developmental" high school recruit is becoming a rarity. Elite, five-star recruits will still get their offers, but the three-star high school athlete who needs time to grow is increasingly being bypassed in favor of 5th-year seniors or experienced underclassmen from the transfer portal.
Wingert Grebing Brubaker & Walshok LLP
Source: Gemini.
 
For those pooh poohing or not using AI, see comments from the CEO of Nvidia, which is the largest company, by capitalization, in the world. Skim the bold parts.

"... the rules of everyday survival are changing, and fast.

To explain, Huang points to the automobile. Early cars were lethal, speeding into cities built for horses. Children played in the streets, and pedestrians crossed wherever they liked. The technology arrived instantly; the rules for surviving it took decades to catch up. Eventually, towns built sidewalks, traffic lights, and created driving tests. Play moved off the asphalt, because the cost of leaving it there was measured in body bags.

AI is forcing that exact same correction, only on a hyper-compressed timeline. Going forward, the wreckage won’t be measured in broken bones, but in broken dreams and erased bank accounts.

We are witnessing the birth of America’s next underclass: a permanent, tech-illiterate sub-stratosphere of the workforce. The defining divide of the next decade won’t be a simple gradient of rich versus poor, but a sort of two-tier caste system separating those who can command AI from those who cannot.

Picture the office version of this digital Darwinism. Everyone on the floor uses AI to summarize reports, audit spreadsheets, and draft the mind-numbing proposals nobody actually wants to write. One worker refuses. He does it all by hand, fiercely proud of his “honest, human effort.” By lunch, he is hopelessly behind. His colleagues have produced triple his output, automated their follow-ups, and taken an extra 20 minutes for coffee.

In this new reality, stubbornness is a professional suicide pact. The market, one fears, is about to punish the holdouts with a savagery we haven’t seen since the Industrial Revolution.

Huang’s prescription is simple: “Just go engage it.” Today, an ordinary person with zero coding knowledge can build a website, dissect a dense legal contract, or project a corporate budget. Skills once locked behind a $100,000 university degree are suddenly available to anyone who knows how to type a coherent sentence.

This shift will soon turn the traditional corporate ladder into a sheer cliff. The baseline assumption of modern employment is shifting to imply that any capable adult can steer these models. If you think avoiding AI makes you a noble purist, just wait until you find out your salary is being eclipsed by a middle schooler who treats ChatGPT like a calculator.

History has never been kind to the nostalgic. The blacksmith who laughed at the Model T didn’t slow down Henry Ford’s assembly line. The travel agent who mocked the internet didn’t stop Expedia. The future keeps its appointments, regardless of who refuses to show up.

This is why Huang’s warnings carry such weight. He is describing a permanent realignment of human value. A new underclass is emerging, defined not by what people earn, but by what they are no longer capable of doing. For millions of Americans, AI remains a curiosity — something to play with for five minutes and mock when it hallucinates a fact.

The tools improve at a punishing, exponential pace. Work that recently required a specialist and a six-figure salary now requires one person and a clear request. The walls around professional expertise are being demolished in real-time.

This leverage cuts both ways. A corner bodega can now deploy data analytics that used to require a multinational infrastructure. A scrappy startup can launch with a solo founder and a suite of algorithms rather than a staff of 40. Power no longer tracks the size of the building you walk into each morning, but rather the ability to direct the machine.

I’m no fan of our new algorithm overlords either, but the folks leveraging AI aren’t waiting for some futuristic sci-fi timeline. They work fast, gain more influence by the day, and leave the purists holding an empty bag. The ones who wait will likely watch the trapdoor close beneath them, wondering how the rest of the world left them behind.

Jensen Huang grew up playing in the streets before the cars took over. Now the robots are here. They are about to ruthlessly divide American society into two distinct groups: those who give the digital orders, and those who are made entirely obsolete by them.


https://thehill.com/opinion/technology/5942757-ai-demands-new-social-norms/
 
For those pooh poohing or not using AI, see comments from the CEO of Nvidia, which is the largest company, by capitalization, in the world. Skim the bold parts.

"... the rules of everyday survival are changing, and fast.

To explain, Huang points to the automobile. Early cars were lethal, speeding into cities built for horses. Children played in the streets, and pedestrians crossed wherever they liked. The technology arrived instantly; the rules for surviving it took decades to catch up. Eventually, towns built sidewalks, traffic lights, and created driving tests. Play moved off the asphalt, because the cost of leaving it there was measured in body bags.

AI is forcing that exact same correction, only on a hyper-compressed timeline. Going forward, the wreckage won’t be measured in broken bones, but in broken dreams and erased bank accounts.

We are witnessing the birth of America’s next underclass: a permanent, tech-illiterate sub-stratosphere of the workforce. The defining divide of the next decade won’t be a simple gradient of rich versus poor, but a sort of two-tier caste system separating those who can command AI from those who cannot.

Picture the office version of this digital Darwinism. Everyone on the floor uses AI to summarize reports, audit spreadsheets, and draft the mind-numbing proposals nobody actually wants to write. One worker refuses. He does it all by hand, fiercely proud of his “honest, human effort.” By lunch, he is hopelessly behind. His colleagues have produced triple his output, automated their follow-ups, and taken an extra 20 minutes for coffee.

In this new reality, stubbornness is a professional suicide pact. The market, one fears, is about to punish the holdouts with a savagery we haven’t seen since the Industrial Revolution.

Huang’s prescription is simple: “Just go engage it.” Today, an ordinary person with zero coding knowledge can build a website, dissect a dense legal contract, or project a corporate budget. Skills once locked behind a $100,000 university degree are suddenly available to anyone who knows how to type a coherent sentence.

This shift will soon turn the traditional corporate ladder into a sheer cliff. The baseline assumption of modern employment is shifting to imply that any capable adult can steer these models. If you think avoiding AI makes you a noble purist, just wait until you find out your salary is being eclipsed by a middle schooler who treats ChatGPT like a calculator.

History has never been kind to the nostalgic. The blacksmith who laughed at the Model T didn’t slow down Henry Ford’s assembly line. The travel agent who mocked the internet didn’t stop Expedia. The future keeps its appointments, regardless of who refuses to show up.

This is why Huang’s warnings carry such weight. He is describing a permanent realignment of human value. A new underclass is emerging, defined not by what people earn, but by what they are no longer capable of doing. For millions of Americans, AI remains a curiosity — something to play with for five minutes and mock when it hallucinates a fact.

The tools improve at a punishing, exponential pace. Work that recently required a specialist and a six-figure salary now requires one person and a clear request. The walls around professional expertise are being demolished in real-time.

This leverage cuts both ways. A corner bodega can now deploy data analytics that used to require a multinational infrastructure. A scrappy startup can launch with a solo founder and a suite of algorithms rather than a staff of 40. Power no longer tracks the size of the building you walk into each morning, but rather the ability to direct the machine.

I’m no fan of our new algorithm overlords either, but the folks leveraging AI aren’t waiting for some futuristic sci-fi timeline. They work fast, gain more influence by the day, and leave the purists holding an empty bag. The ones who wait will likely watch the trapdoor close beneath them, wondering how the rest of the world left them behind.

Jensen Huang grew up playing in the streets before the cars took over. Now the robots are here. They are about to ruthlessly divide American society into two distinct groups: those who give the digital orders, and those who are made entirely obsolete by them.


https://thehill.com/opinion/technology/5942757-ai-demands-new-social-norms/
AI is the devil.

Revelations 15
The second beast was given power to give breath to the image of the first beast, so that the image could speak and cause all who refused to worship the image to be killed.
 
Mentally I'm 15. Unfortunately my physical body disagrees.
When I retired, I thought I'd try some physical work. I tried sacking potatoes, 50# sacks. 40+ years of desk work, studying, charting, where I lifted only the weight of a pencil or hypodermic syringe left me speechless, and pooped. I only lasted two hours. Mentally I could do anything, but physically...

I came across some good quotes on aging. They were all good, but I couldn't pick just one. Here's the link:
 
For those pooh poohing or not using AI, see comments from the CEO of Nvidia, which is the largest company, by capitalization, in the world. Skim the bold parts.

"... the rules of everyday survival are changing, and fast.

To explain, Huang points to the automobile. Early cars were lethal, speeding into cities built for horses. Children played in the streets, and pedestrians crossed wherever they liked. The technology arrived instantly; the rules for surviving it took decades to catch up. Eventually, towns built sidewalks, traffic lights, and created driving tests. Play moved off the asphalt, because the cost of leaving it there was measured in body bags.

AI is forcing that exact same correction, only on a hyper-compressed timeline. Going forward, the wreckage won’t be measured in broken bones, but in broken dreams and erased bank accounts.

We are witnessing the birth of America’s next underclass: a permanent, tech-illiterate sub-stratosphere of the workforce. The defining divide of the next decade won’t be a simple gradient of rich versus poor, but a sort of two-tier caste system separating those who can command AI from those who cannot.

Picture the office version of this digital Darwinism. Everyone on the floor uses AI to summarize reports, audit spreadsheets, and draft the mind-numbing proposals nobody actually wants to write. One worker refuses. He does it all by hand, fiercely proud of his “honest, human effort.” By lunch, he is hopelessly behind. His colleagues have produced triple his output, automated their follow-ups, and taken an extra 20 minutes for coffee.

In this new reality, stubbornness is a professional suicide pact. The market, one fears, is about to punish the holdouts with a savagery we haven’t seen since the Industrial Revolution.

Huang’s prescription is simple: “Just go engage it.” Today, an ordinary person with zero coding knowledge can build a website, dissect a dense legal contract, or project a corporate budget. Skills once locked behind a $100,000 university degree are suddenly available to anyone who knows how to type a coherent sentence.

This shift will soon turn the traditional corporate ladder into a sheer cliff. The baseline assumption of modern employment is shifting to imply that any capable adult can steer these models. If you think avoiding AI makes you a noble purist, just wait until you find out your salary is being eclipsed by a middle schooler who treats ChatGPT like a calculator.

History has never been kind to the nostalgic. The blacksmith who laughed at the Model T didn’t slow down Henry Ford’s assembly line. The travel agent who mocked the internet didn’t stop Expedia. The future keeps its appointments, regardless of who refuses to show up.

This is why Huang’s warnings carry such weight. He is describing a permanent realignment of human value. A new underclass is emerging, defined not by what people earn, but by what they are no longer capable of doing. For millions of Americans, AI remains a curiosity — something to play with for five minutes and mock when it hallucinates a fact.

The tools improve at a punishing, exponential pace. Work that recently required a specialist and a six-figure salary now requires one person and a clear request. The walls around professional expertise are being demolished in real-time.

This leverage cuts both ways. A corner bodega can now deploy data analytics that used to require a multinational infrastructure. A scrappy startup can launch with a solo founder and a suite of algorithms rather than a staff of 40. Power no longer tracks the size of the building you walk into each morning, but rather the ability to direct the machine.

I’m no fan of our new algorithm overlords either, but the folks leveraging AI aren’t waiting for some futuristic sci-fi timeline. They work fast, gain more influence by the day, and leave the purists holding an empty bag. The ones who wait will likely watch the trapdoor close beneath them, wondering how the rest of the world left them behind.

Jensen Huang grew up playing in the streets before the cars took over. Now the robots are here. They are about to ruthlessly divide American society into two distinct groups: those who give the digital orders, and those who are made entirely obsolete by them.


https://thehill.com/opinion/technology/5942757-ai-demands-new-social-norms/
jensen huang et al are doing their best to create a fomo situation (fear-of-missing-out) by telling their little stories of how ai will divide society into the 'haves' and 'have nots', based on a person's level of ai use. but, but, but... the world isn't black and white, and just like with the myriad of other technologies that have emerged over the last century or so, people are going to use ai on a need-be basis, and will adapt to it just fine. not everything benefits from ai, though. is it going to make my interactions with other people more fun? will it change the way i surf? nah.
 
jensen huang et al are doing their best to create a fomo situation (fear-of-missing-out) by telling their little stories of how ai will divide society into the 'haves' and 'have nots', based on a person's level of ai use. but, but, but... the world isn't black and white, and just like with the myriad of other technologies that have emerged over the last century or so, people are going to use ai on a need-be basis, and will adapt to it just fine. not everything benefits from ai, though. is it going to make my interactions with other people more fun? will it change the way i surf? nah.
Were you skeptical of computers, internet and cell phones too?
 
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I see what pushed you into surfing.


how important is ai in university research


+5



AI is incredibly important in university research, functioning as a fundamental tool that accelerates and transforms the entire academic process. It allows researchers to handle massive datasets in seconds, summarize vast amounts of literature, and uncover complex patterns that human analysis alone might miss.[1, 2]
Key areas where AI drives university research:
  • Data Analysis & Processing: AI algorithms process and analyze complex data in fields like genomics, astronomy, and climate science, turning months of manual work into hours.
  • Literature Reviews: Generative AI tools quickly scan, summarize, and identify key themes across extensive academic databases.
  • Writing & Editing: AI assists with drafting, improving syntax, translating languages, and refining citations. [1, 2, 3, 4, 5]
However, the technology requires ethical use. Most institutions emphasize that AI must enhance—not replace—human judgment, meaning researchers must verify AI outputs to avoid fabrications. AI cannot be credited as an author in academic publications.” AI
 
Were you skeptical of computers, internet and cell phones too?
i'm not skeptical of ai, just some of the promises that have been made about it by those who are also selling it. as for the internet and computers, i was using them in the early 80's, when you still had to use computer prompts and the like to get to files, etc... hell, i remember buying windows 2.0 in what must've been the 80's. early macs were way better, and i wrote a novel using one in the mid 80's, with what i think was the first commercially produced computer that utilized a mouse. i even used one of the first examples of 'live streaming' in the early 1990s, while at cambridge. it was developed by the university of cambridge computer laboratory, and it's use was to check how full the lab's coffee pot was, because lab members got tired of walking to the break room only to find an empty coffee pot. as a scientist, i obviously would not have had any success unless i adopted new technologies soon after they emerged. i don't reject technology at all, and even just used gemni to make an 'app' that helps me review mandarin vocabulary while i take walks. it's not complicated, it just goes through my saved google translate vocabulary and gives the correct pronunciation of a word, followed 10 seconds later by the english translation; then it does it a second time but without the english translation. obviously that's just piddly stuff.

we've both been around the block a few times, greenie, and have seen the coming and going of various technologies that were 'the next big thing', only to flame out a few years later. my problem with ai is more how it's advertised - a lot of it's bigger proponents seem to overlook the value of other aspects of existence. ai isn't going to do my workout for me, or make the waitress at my favorite breakfast place more friendly. i do think some people believe it replaces basics like reading books (they just want the synopsis), but i get some satisfaction and value out of challenging my own ability to think and learn, and to be creative. also, to experience new things, something you obviously value based on your recent trips to various spots around the world.
 
Depending on which AI you are using, you have to be very careful. Some of them outright lie. I know last year I was looking up scores for Big Sky teams and it gave me erroneous results on several different occasions.
 
AI and Crypto will be bigger than the internet and cell phones combined. In 5 years everything will be tokenized on chain. Insurance, stock market, derivatives, identity, real estate, contracts etc.

Hop on or get left behind
 
Depending on which AI you are using, you have to be very careful. Some of them outright lie. I know last year I was looking up scores for Big Sky teams and it gave me erroneous results on several different occasions.
So true. And you can definitely "convince" certain models based on prompts. I think I can get Gemini to agree with me that the Griz FB team would likely win the HS state soccer tournament within four prompts.
 
Source: Gemini.
While they have never been AGAINST it, my understanding is that the Griz have not been a program that into early enrollees the way that some other FCS programs are (and basically every FBS program). They'll take them when they have to, but they don't encourage it.

This rule drastically changes the value of a kid graduating early and being there in January for all of winter lifting and spring ball. They are getting an additional 6-7 months of physical and skill development on their 5 year clock that allows them to be ready sooner. They are going to need to reevaluate that thinking rather quickly. Not to mention no more waivers to get extra years tacked on for various reasons.
 
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