Cheating, but okay:
“In practice, the molecule brings the body into a metabolic state corresponding to running 10 kilometers at high speed on an empty stomach.”
Sunday, October 6, 2024
Saturday, October 5, 2024
Thursday, October 3, 2024
The future of AI looks like THIS (& it can learn infinitely)
A good explanation of how AI currently works and will eventually work:
Wednesday, October 2, 2024
Scientists Have Discovered a Dietary Compound That Increases Longevity
“Specifically, increases in longevity of between 10 and 18.6% and decreases in the proteotoxic effect of plaques of between 30 and 40% were observed.”
https://scitechdaily.com/scientists-have-discovered-a-dietary-compound-that-increases-longevity/
Shielding the Brain: A Breakthrough in Preventing Cancer’s Spread
It would be great if this obviates the need for prophylactic brain radiation:
https://scitechdaily.com/shielding-the-brain-a-breakthrough-in-preventing-cancers-spread/
Monday, September 30, 2024
Sunday, September 29, 2024
Saturday, September 28, 2024
Georgia Tech’s New Cathode Technology Could Revolutionize Electric Vehicles and Energy Storage
“This could not only make EVs much cheaper than internal combustion cars, but it provides a new and promising form of large-scale energy storage, enhancing the resilience of the electrical grid,” Chen said. “In addition, our cathode would greatly improve the sustainability and supply chain stability of the EV market.”
Wednesday, September 25, 2024
Tuesday, September 24, 2024
Monday, September 23, 2024
Sunday, September 22, 2024
Revolutionary “Massless” Battery Technology Could Extend EV Range by 70%
Structural material that is ALSO a battery, saving weight on the main battery and increasing EV driving range by 70%. Brilliant!
Saturday, September 21, 2024
Friday, September 20, 2024
Thursday, September 19, 2024
Wednesday, September 18, 2024
Sam Altman Teases Orion (GPT-5) 🍓 o1 tests at 120 IQ 🍓 1 year of PHD work done in 1 hour...
This is stunning: It appears AI took an hour to write a program based on a scientific paper that took the PhD author a year to do the same thing!
Tuesday, September 17, 2024
AGI is Almost Here! What comes next? What's left to do? How do we adapt and prepare?
David Shapiro is one of those guys who has his finger on the pulse of AI development, and here he is noting that we are just a stones throw away from AGI:
Monday, September 16, 2024
Saturday, September 14, 2024
Thursday, September 12, 2024
Wednesday, September 11, 2024
Tuesday, September 10, 2024
Monday, September 9, 2024
Oxford begins mass production of game changing solar panels in the US
FINALLY perovskite solar panels come to market:
Friday, September 6, 2024
I WAS WRONG: Tesla Optimus Robot worth $$$ TRILLIONS!
There are at least four major robotics manufacturers, so Tesla doesn’t have a lock on this…but the robots are coming, and soon:
Thursday, September 5, 2024
DeepMind AlphaProteo AI: A Gift To Humanity! 🧬
I’ll never use this AI, but it’s more exciting to me than the upcoming GPT5:
Monday, September 2, 2024
OpenAI's Newest "NEO Beta" AI Robot Humanoids Debut This New 20 Axes Tech
This home robot is already being tested in real-world homes! It’s so smooth it looks like someone in a costume, but the hands give it away. Supposed to be available early in 2025 for under $20,000, I think:
Sunday, September 1, 2024
Saturday, August 31, 2024
Ex-Google CEO's BANNED Interview LEAKED: "You Have No Idea What's Coming"
Some interesting insights into what’s going on in the AI industry:
Friday, August 30, 2024
Thursday, August 29, 2024
Wednesday, August 28, 2024
Revolutionary Eco-Friendly Cooling Device Shatters Performance World Record
An important innovation for a heating planet:
Tuesday, August 27, 2024
Monday, August 26, 2024
Sunday, August 25, 2024
Saturday, August 24, 2024
Friday, August 23, 2024
Thursday, August 22, 2024
Tuesday, August 20, 2024
Fish oil supplements on heart and brain
An analysis of the studies on the risks and benefits of fish oil supplements:
Alzheimer’s: https://youtu.be/NScltXkIO44?si=BkDqBgO5q4j2a4VC
Heart health: https://youtu.be/T6HSAhG7p1M?si=V4QbVLVE86SsXbn3
The latter suggests 840 mg daily has no contraindications.
Reversing Alzheimer's: New Research Improves Cognition & Protects Brain Health | Dr.Heather Sandison
My woo meter is twitching, but this sounds encouraging:
Artificial Intelligence Predicts Earthquakes With Unprecedented Accuracy
This line woke me up:
“Developed by researchers at The University of Texas at Austin, the AI algorithm correctly predicted 70% of earthquakes a week before they happened”
https://scitechdaily.com/artificial-intelligence-predicts-earthquakes-with-unprecedented-accuracy/
Revolutionizing Lens Design: AI Cuts Months of Work Down to a Single Day
The topic isn’t interesting, but it’s an example of how AI is accelerating technological development:
https://scitechdaily.com/revolutionizing-lens-design-ai-cuts-months-of-work-down-to-a-single-day/
Monday, August 19, 2024
New Stanford Research Reveals Humans Age in Two Rapid Bursts: At 44 and 60
Very interesting. I think I skipped the mid-40s change but maybe not the 60s change:
https://scitechdaily.com/new-stanford-research-reveals-humans-age-in-two-rapid-bursts-at-44-and-60/
Korean company creates mind-blowing algorithm capable of reducing battery design time: 'A consistent level of design quality and speed'
This is what is meant by technological advancement passing the dogleg of the law of accelerating returns!
https://www.yahoo.com/tech/korean-company-creates-mind-blowing-120000344.html
Saturday, August 17, 2024
Friday, August 16, 2024
Thursday, August 15, 2024
Juicier, Glossier, Better: Superior Strawberries Unlocked Through Genetics
But it’s the FLAVOR that matters most, you numbskulls!
https://scitechdaily.com/juicier-glossier-better-superior-strawberries-unlocked-through-genetics/
Low Testosterone in Men Linked to Increased Risk for Death
“The data showed that only men with low total testosterone concentrations had higher risks for all-cause mortality. A key finding was that men with a testosterone concentration below 7.4 nmol/L (<213 ng/dL) had a higher risk for all-cause mortality, regardless of LH concentration. Men with a testosterone concentration below 5.3 nmol/L (<153 mg/dL) had an increased risk of cardiovascular death.”
https://scitechdaily.com/low-testosterone-in-men-linked-to-increased-risk-for-death/
Wednesday, August 14, 2024
Tuesday, August 13, 2024
Monday, August 12, 2024
Sunday, August 11, 2024
Friday, August 9, 2024
AI searches for new materials
Materials science isn’t particularly sexy but it is massively important. This article mentions self-driving labs can potentially reduce the 20 year process to bring a new material to fruition down to as little as five days:
https://www.axios.com/newsletters/axios-science-1b9c2920-545f-11ef-adf5-b9e20472157b.html
https://www.axios.com/newsletters/axios-science-1b9c2920-545f-11ef-adf5-b9e20472157b.html
Wednesday, August 7, 2024
Tuesday, August 6, 2024
Former Open AI Employee Reveals The Next 5 Years Of AI
Impressive and encouraging predictions, including nanobots. Haven’t heard much about nanobots lately!
Are New Alzheimer’s Drugs All They Promise To Be?
Yeah, the benefits were always slim:
https://scitechdaily.com/are-new-alzheimers-drugs-all-they-promise-to-be/
Cartilage Regeneration Breakthrough Ushers In a New Era of Joint Health
Piglit’s hips, FF’s nostril and my big toe!
https://scitechdaily.com/cartilage-regeneration-breakthrough-ushers-in-a-new-era-of-joint-health/
Monday, August 5, 2024
Friday, August 2, 2024
Is AI About to Run Out of Data? The History of Oil Says No
A rather startling statistic:
“An estimated 96% to 99.8% of all online data are inaccessible to search engines—for example, paywalled media, password-protected corporate databases, legal documents, and medical records, plus an exponentially growing volume of private cloud storage. In addition, the vast majority of printed material has still never been digitized—around 90% for high-value collections such as the Smithsonian and U.K. National Archives, and likely a much higher proportion across all archives worldwide.”
The AI boyfriend business is booming
I predicted this would happen, since an AI programmed to be your perfect mate will inevitably have an advantage. But I didn’t think it would happen so quickly for women. In hindsight, I should have, because AI doesn’t have a realistic human body yet (which is a bigger appeal for men), and communication and empathy are more important for women:
Thursday, August 1, 2024
Artificial Investment?
It’s no secret: Investors and companies are pouring billions into AI.
Venture capitalists have plowed $12 billion into generative AI startups so far this year. Elon Musk claims his company xAI will train new models on a staggering 100,000 of Nvidia’s latest H100 GPUs; Meta is reportedly buying some 350,000 more. (In perspective, the world’s fastest supercomputer, Frontier, boasts a mere 38,000 GPUs.) Alphabet, Microsoft, and Amazon are also building out enormous AI server farms. And this spending shows no signs of slowing.
Goldman Sachs says outlays on AI infrastructure could total $1 trillion over the next few years—a number on par with annual US military spending or the GDP of the Netherlands. But there are strings attached: Big investment is tied to expectations of big revenue and profits. Eighteen months into the boom, investors are beginning to review the latter.
Some companies are clearly knocking it out of the park. Nvidia, which commands 80 percent of the AI chip market, is enjoying a historic run. The chipmaker has consistently posted revenue and profits beyond the market’s expectations, and in late June, it was (briefly) the most valuable company in the world, beating out Microsoft and Apple. (The stock has fallen off since then, but it’s still up some 140 percent year-to-date.)
But not everyone is raking it in like Nvidia. If Nvidia is selling “picks and shovels” for an AI gold rush, those using Nvidia’s equipment are still digging for gold. Exactly when they’ll strike it rich and how much they’ll unearth is a matter of speculation.
Though OpenAI is reportedly on pace to make $3.4 billion annually, an impressive number compared to last year, its costs are even greater. The Information recently reported the company is set to lose $5 billion this year and may need to seek new investment within the next 12 months. The publication also wrote that Anthropic will burn $2.7 billion in 2024.
The biggest players, like Alphabet and Microsoft, have deeper pockets. But driven by AI, their capital expenditures are growing fast. Alphabet’s capex spending is on pace to hit $49 billion this year, an increase of 84 percent compared to its average over the last half decade. Investors are increasingly scrutinizing the impact of these investments too. The companies’ cloud offerings—the huge server farms they rent to those building and running AI models and products—are the most obvious revenue-makers. But the sustainability of those revenues is dependent on the success of AI products.
And revenue from those products is lagging investment. This gap, which is widening, is what Sequoia Capital’s David Cahn calls the “$600 billion question.” That’s the difference between infrastructure investment and revenue in the industry. Barclays analysts put it like this: The industry is building enough infrastructure to support 12,000 ChatGPTs. While the technology is impressive, customer demand is unlikely to support that kind of supply anytime soon.
But the spending is also a bet on future performance improvements. This line of thinking suggests that if today’s capabilities aren’t enough to hook the world on AI, tomorrow’s will be. And to get to the next level—which will only be realized by bigger models trained on more (and better) data—companies need more computing power.
Anthropic CEO and cofounder, Dario Amodei, has said models being trained today already cost upwards of $1 billion. By next year, that number could be $10 billion, and in the years following, it could reach $100 billion—in line with the amount Microsoft is said to be spending on its 2028 AI supercomputer, Stargate. It's an eye-watering price tag. But Amodei thinks that if algorithms and chips continue to improve as they have in recent years, then there’s a chance those future AI models could be “better than most humans at most things.”
FOMO is another big driver. The CEOs of Alphabet and Microsoft have made that much clear. In a recent earnings call, Sundar Pichai said, “the risk of underinvesting is dramatically greater than the risk of overinvesting for us here.” And in a New York Times profile, Satya Nadella is described as being motivated by the desire to avoid missing the boat, as the company did with the internet in the early 2000s and smartphones several years later.
It seems clear the technology will have an impact—whether it’s through productivity boosting AI assistants or scientific discovery—and the impact’s size will scale with the capabilities of the models driving it. But exactly how big a splash it will make, how soon, and how this will compare to current investment isn’t clear, even to those at the helm.
“Of course, it’s possible…that all of this will be a bust. The models don’t turn out to be that powerful,” Amodei said recently. “That’s not my bet. That’s not what I think is gonna happen. What I think is gonna happen is that these models will produce a great deal of revenue. …That’s the bullish scenario that I’m betting on by leading this company.”
“But I’m not sure. It could go the other way. I don’t think anyone knows.”
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