
founder of @gyroscope_app
Austin, TX
Joined September 2007
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Anand Sharma retweeted
You have access to an algorithm that gives you the best physical, mental, and spiritual health of your life.
In exchange, you do what the algorithm says:
+ Go to bed when it says
+ Eat when it says
+ Exercise in the way it prescribes
Would you say yes or no?
Anand Sharma retweeted

@levelsio@levelsio13 Apr 2025
Europe
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Alcohol being uncool has escaped our bubble and is now mainstream though
Anand Sharma retweeted
At first, it sounds obvious: if we want to save the planet, we should do less. Fewer people, less consumption, smaller footprints. I believed this too—so much so that I once thought having kids was irresponsible.
But the more I looked into it, the less sense it made.
Physicist David Deutsch has a radical view: all failures are knowledge failures. Pollution isn't proof we've hit Earth's limits—it's proof we haven't figured out the right solutions yet. The laws of physics permit clean abundance; we just need to discover how.
Think of it like alchemy. For centuries, turning lead into gold seemed impossible—until we discovered nuclear physics. What looks like pollution today is just valuable matter in the wrong form, waiting for smarter minds to rearrange it. The only true limit is how many of those minds we have working on the problem.
For instance, there's no law of physics that says more people must mean more carbon emissions. In the United States, GDP has more than doubled since 1990, but per-capita CO2 emissions have actually decreased by 30% over the same period. Is this because we have offshored much of our manufacturing to China? Partly. But China's GDP grew 14x since 1990 while their CO2 emissions only increased 5 times. It is widely believed that China's carbon emissions will peak this year as they replace their coal power stations with nuclear.
In short: we have decoupled carbon emissions from growth. Carbon isn't the price of progress—it's just a sign we're using outdated tech. The stone age didn't end because we ran out of stones. It ended because we invented bronze.
How about resources, aren't we running out of those?
In 1980, Stanford biologist Paul Ehrlich made a famous wager with upstart economist Julian Simon. Ehrlich—author of The Population Bomb—was certain humanity was headed for collapse. More people meant more resource consumption, driving prices up as scarcity took hold. It seemed obvious. So they bet $1,000 on the future price of five industrial metals (chromium, copper, nickel, tin, and tungsten). If prices rose over the next decade, Ehrlich won. If they fell, Simon did.
Ten years later, every single metal was cheaper—despite a global population increase of 800 million.
Why? Because Ehrlich made a fatal error: he assumed resources were static. But humans don’t just consume—we innovate. When copper got expensive, we found ways to use less (fiber optics replaced phone wires). When tin prices spiked, companies switched to aluminum cans. Oil was worthless sludge until we invented refineries; sunlight was just weather until we built solar panels.
But how about land, surely we’re running out of that?
It seems intuitive that as a population grows we’d need more land to feed and house them, but the data shows that we're learning to do more with less. In 1960, feeding one person required 1.2 acres of farmland. Today? Just 0.5 acres, thanks to high-yield crops and precision agriculture. The Netherlands, a country smaller than West Virginia, is now the world’s second-largest food exporter—using vertical farms and AI-driven greenhouses that grow tomatoes with 90% less water. Meanwhile, global forest cover has expanded by an area larger than France since 1982, as improved productivity frees up marginal land. The constraint was never space; it was knowledge. And the more knowledge we have, the more land we can return to nature.
Cities are humanity's secret weapon. As Geoffrey West's research in Scale shows, when you double a city's population, you don't just get double the output—you get roughly 15% more innovation per person. More collisions between minds mean more breakthroughs. The printing press, the steam engine, the smartphone—none were inevitable. They emerged because enough people were packed together, thinking and trading ideas.
This explains why human progress doesn't just add—it compounds. More people don't just mean more labor; they mean more possible connections between ideas. One person's half-formed thought becomes another's world-changing invention.
The “have fewer kids” argument fails a simple test: children don’t just consume resources, they create solutions. Every additional human is a potential Marie Curie, Norman Borlaug, or the student who figures out fusion. The Industrial Revolution, the Green Revolution, the internet—all emerged during population booms.
More people don't just mean more mouths to feed. It means more minds to invent, more hands to build. Progress scales with people. Telling people to have fewer kids to "save the planet" is like throwing the crew off a sinking ship to make it lighter. Sure, it buys time—but who's left to fix the leak?
More people does mean more consumption—but we need to update our intuition that this is inherently bad. Demand isn’t just strain; it’s fuel for innovation. Take solar power: in 1975, a single watt of solar capacity cost between $70–$100 per watt. Today it’s 20 cents. That 500x drop didn’t happen because we used less energy—it happened because booming demand drove economies of scale, better manufacturing, and breakthroughs like perovskite cells.
The same pattern—demand driving economies of scale—holds for batteries (costs down 90% since 2010), LED lighting (100x cheaper than 2000), and lab-grown meat (projected to undercut beef by 2030). Consumption isn’t the enemy—it’s the signal that tells innovators: "Solve this, and you’ll get rich." The more people who want something, the faster we make it cheaper, cleaner, and abundant.
The future won't be saved by guilt or retreat, but by doubling down on humanity's greatest resource: people. Cities humming with ideas. Labs running on young curiosity. The next Norman Borlaug figuring out carbon-neutral protein, or the next Grace Hopper coding up climate models.
We're not passengers on this planet—we're the engineers. Pollution isn't the end—it's an invitation to invent. And the more of us there are working on it, the faster we'll crack these problems: cleaning oceans, rewilding forests, turning emissions into resources, and diverting the next extinction-level asteroid. Sustainability isn't about making ourselves smaller. It's about making our potential limitless.
Because in the long run, the only thing that's truly unsustainable is giving up.
Anand Sharma retweeted
#つぶやきGLSL float i,e,R,s;vec3 q,p,d=vec3(FC.xy/r-vec2(.5,-.6),.4);for(q.yz--;i++<119.;){o.rgb+=hsv(.6-e,.3,min(e*s,.4-e)/25.);s=2.;p=q+=d*e*R*.3;p=vec3(log(R=length(p))-t*.5,exp(-p.z/R+.5),atan(p.x,p.y));for(e=--p.y;s<2e3;s+=s)e+=-abs(dot(cos(p.zxy*s),.2-sin(p*s)))/s*.4;}
Anand Sharma retweeted
Congrats to all who arrived at the holidays having spent 2024 striving to be healthier of mind & body. 2025 is the year to lock in the key actions & make it reflexive. I started Huberman Lab podcast to make it clear & 0 cost how to do that & will continue to. Y’all are a joy to interact with here on @X (the haters too; I pray for you/r health daily).
Anand Sharma retweeted
Sincerity is not the love language of X. That said….
You motherfuckers need to get your shit together in 2025. You need to stop being stupid and prioritize sleep. You need to move your lazy ass and exercise daily. You need to overcome your fast food addiction and eat healthy.
Your mental health problems stem from the lack of basic self care. Show yourself some respect and stop doing stupid shit that makes you age faster and feel miserable.
We have a very serious situation on our hands as a species. It is not clear that we will survive the coming years and decades. Many things threaten our existence and we’re fucking around with shit that doesn’t matter.
We are primitive and shortsighted. We need to grow the fuck up and be equal to this moment.
Start by getting your own mind and body in order. Lift weights and get jacked. Sleep well and stabilize your mood. Eat well and feel energized.
We have work to do.
Happy Holidays 🎄
Anand Sharma retweeted
Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks.
It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task in compute ) and 87.5% in high-compute mode (thousands of $ per task). It's very expensive, but it's not just brute -- these capabilities are new territory and they demand serious scientific attention.
Anand Sharma retweeted
o3, our latest reasoning model, is a breakthrough, with a step function improvement on our hardest benchmarks. we are starting safety testing & red teaming now.
Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks.
It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task in compute ) and 87.5% in high-compute mode (thousands of $ per task). It's very expensive, but it's not just brute -- these capabilities are new territory and they demand serious scientific attention.
Anand Sharma retweeted
People think that achieving similar health results to mine is out of reach, but most of the benefits are actually achievable through simple habits and life systems.
Anand Sharma retweeted
Yup - game changer bc I mostly eat out and I need as little friction as possible to do it consistently . Cc @aprilzero
Anand Sharma retweeted
Awesome to see these being discussed:
1) Treating obesity at scale (Rx meds that work & exercise & better nutrition all relevant; depends on the person/motivation)
2) Cleaner food & water
3) PTSD treatments (that work), for veterans first, then the rest
Change is coming…
Anand Sharma retweeted

Elon Musk@elonmusk2 Dec 2024
United States!
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Wow
The Moore's Law Update
NOTE: this is a semi-log graph, so a straight line is an exponential; each y-axis tick is 100x. This graph covers a 1,000,000,000,000,000,000,000x improvement in computation/$. Pause to let that sink in.
Humanity’s capacity to compute has compounded for as long as we can measure it, exogenous to the economy, and starting long before Intel co-founder Gordon Moore noticed a refraction of the longer-term trend in the belly of the fledgling semiconductor industry in 1965.
I have color coded it to show the transition among the integrated circuit architectures. You can see how the mantle of Moore's Law has transitioned most recently from the GPU (green dots) to the ASIC (yellow and orange dots), and the NVIDIA Hopper architecture itself is a transitionary species — from GPU to ASIC, with 8-bit performance optimized for AI models, the majority of new compute cycles.
There are thousands of invisible dots below the line, the frontier of humanity's capacity to compute (e.g., everything from Intel in the past 15 years). The computational frontier has shifted across many technology substrates over the past 128 years. Intel ceded leadership to NVIDIA 15 years ago, and further handoffs are inevitable.
Why the transition within the integrated circuit era? Intel lost to NVIDIA for neural networks because the fine-grained parallel compute architecture of a GPU maps better to the needs of deep learning. There is a poetic beauty to the computational similarity of a processor optimized for graphics processing and the computational needs of a sensory cortex, as commonly seen in the neural networks of 2014. A custom ASIC chip optimized for neural networks extends that trend to its inevitable future in the digital domain. Further advances are possible with analog in-memory compute, an even closer biomimicry of the human cortex. The best business planning assumption is that Moore’s Law, as depicted here, will continue for the next 20 years as it has for the past 128. (Note: the top right dot for Mythic is a prediction for 2026 showing the effect of a simple process shrink from an ancient 40nm process node)
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For those unfamiliar with this chart, here is a more detailed description:
Moore's Law is both a prediction and an abstraction. It is commonly reported as a doubling of transistor density every 18 months. But this is not something the co-founder of Intel, Gordon Moore, has ever said. It is a nice blending of his two predictions; in 1965, he predicted an annual doubling of transistor counts in the most cost effective chip and revised it in 1975 to every 24 months. With a little hand waving, most reports attribute 18 months to Moore’s Law, but there is quite a bit of variability. The popular perception of Moore’s Law is that computer chips are compounding in their complexity at near constant per unit cost. This is one of the many abstractions of Moore’s Law, and it relates to the compounding of transistor density in two dimensions. Others relate to speed (the signals have less distance to travel) and computational power (speed x density).
Unless you work for a chip company and focus on fab-yield optimization, you do not care about transistor counts. Integrated circuit customers do not buy transistors. Consumers of technology purchase computational speed and data storage density. When recast in these terms, Moore’s Law is no longer a transistor-centric metric, and this abstraction allows for longer-term analysis.
What Moore observed in the belly of the early IC industry was a derivative metric, a refracted signal, from a longer-term trend, a trend that begs various philosophical questions and predicts mind-bending AI futures.
In the modern era of accelerating change in the tech industry, it is hard to find even five-year trends with any predictive value, let alone trends that span the centuries.
I would go further and assert that this is the most important graph ever conceived. A large and growing set of industries depends on continued exponential cost declines in computational power and storage density. Moore’s Law drives electronics, communications and computers and has become a primary driver in drug discovery, biotech and bioinformatics, medical imaging and diagnostics. As Moore’s Law crosses critical thresholds, a formerly lab science of trial and error experimentation becomes a simulation science, and the pace of progress accelerates dramatically, creating opportunities for new entrants in new industries. Consider the autonomous software stack for Tesla and SpaceX and the impact that is having on the automotive and aerospace sectors.
Every industry on our planet is going to become an information business. Consider agriculture. If you ask a farmer in 20 years’ time about how they compete, it will depend on how they use information — from satellite imagery driving robotic field optimization to the code in their seeds. It will have nothing to do with workmanship or labor. That will eventually percolate through every industry as IT innervates the economy.
Non-linear shifts in the marketplace are also essential for entrepreneurship and meaningful change. Technology’s exponential pace of progress has been the primary juggernaut of perpetual market disruption, spawning wave after wave of opportunities for new companies. Without disruption, entrepreneurs would not exist.
Moore’s Law is not just exogenous to the economy; it is why we have economic growth and an accelerating pace of progress. At Future Ventures, we see that in the growing diversity and global impact of the entrepreneurial ideas that we see each year — from automobiles and aerospace to energy and chemicals.
We live in interesting times, at the cusp of the frontiers of the unknown and breathtaking advances. But, it should always feel that way, engendering a perpetual sense of future shock.
Anand Sharma retweeted
has working on your health ever been as cool / high status as it is now? Basically every rich person I know is microdosing bryan johnson, cleaning up diet, getting a good exercise routine, hiring doc to advise them, few drink alcohol, etc
Anand Sharma retweeted
Amazing graphical representation of a neural net, never seen anything like it.
Anand Sharma retweeted

Dan Go@CoachDanGo1 Oct 2024
Canada
CanadaConnected via Canada App StoreAccount-level information, not a live location or per-post device.
The first home you should renovate is your body.



















