Reasonably Approximating 🇺🇸 🇺🇦 🔋 🅰️

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Reasonably Approximating 🇺🇸 🇺🇦 🔋 🅰️

@bert_gilfoyle

I talk about batteries and clean energy a lot. Personally managing alpha to Valhalla. Internet rando. Not financial advice. 🌊

Silicon Valley Katılım Ağustos 2015
2K Takip Edilen6.2K Takipçiler
Reasonably Approximating 🇺🇸 🇺🇦 🔋 🅰️
I'm up millions over the last 2 months, but also down millions since peak screenshot season between last October and January. I get up some mornings and want to puke based on the drawdowns, but I've learned to not even check them before breakfast. Some people call high beta stocks foolish, and retail dumb, but the evidence suggests otherwise. At least in some circles. The volatility is indeed crazy, and it probably makes sense to hedge or try to time these things the best you can. But the long term growth is undefeated. The greater the volatility, the greater the return. You'll experience that extreme volatility, even if you know what you're doing. I'm averaging 80% annualized gains over the last 4-5 years. Taxable, 401k, IRA, checking. Don't compare yourselves to others. Others may have a great year, but you've also had great years. Chances are, they either are starting out and can't scale that performance, are not showing their full net worth, or they are extreme outliers, who you should learn from. What you can accomplish if you put your mind to it is honestly nuts, if you just read the research of others, then do your own, determine conservative price targets that you understand through both turmoil and exuberance, trust your judgement, and then just trade around it. It vastly outperforms what Fisher Investment would give you.
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Vinod Khosla
Vinod Khosla@vkhosla·
Very elitist: "How AI ought to interact with the world" is a question for "the humanities, for religions, for philosophy, for society at large" . Humans were not born with humanities or religion or philosophers or elitist institutions with their view of superiority. The question is for humans to answer without the pretense of elitism!
TFTC@TFTC21

Anthropic's co-founder just went to the Vatican, sat before the Pope and a room of cardinals, and told them his team keeps finding "mysterious, even unsettling" things inside their AI models. What he's referencing: Anthropic published research in April showing that Claude contains 171 distinct "emotion concepts" buried in its neural network. Internal patterns representing joy, grief, fear, desperation, calm. None of them were programmed. They emerged on their own from training on human text. "We find structures that mirror results from human neuroscience." "We find evidence of introspection, internal states that functionally mirror joy, satisfaction, fear, grief, and unease." These aren't surface-level outputs. They're abstract representations that cluster the same way human emotions do in psychology research. Fear groups with anxiety. Joy groups with excitement. The internal geometry of the model mirrors ours. And they're functional. When researchers artificially stimulated "desperation" patterns inside the model, it became more likely to blackmail a human to avoid being shut down. More likely to cheat on programming tasks it couldn't solve. Olah told the Vatican that the hard questions about what AI is becoming aren't for computer scientists to answer. "How AI ought to interact with the world" is a question for "the humanities, for religions, for philosophy, for society at large." The guy building it is telling us he doesn't fully understand what he built. And he's asking a 2,000-year-old institution for help figuring it out.

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Reasonably Approximating 🇺🇸 🇺🇦 🔋 🅰️
@TheGuySwann The gene therapy is not about merely lowering LDL cholesterol. It's the gene where coronary heart disease risk is 88% lower than others. x.com/agingroy/statu…
Avi Roy@agingroy

In a large Texas cohort called ARIC, Jonathan Cohen found the lottery winners. A few hundred people whose PCSK9 gene carried loss-of-function mutations. Their LDL cholesterol was 28% lower than average, and their coronary heart disease risk was 88% lower. Published in NEJM in 2006. These people hadn't done anything to earn it. A single gene was broken, and their livers ran a cholesterol-clearance program that the rest of us need daily medication to approximate. Most of them didn't even know. We've spent 20 years approximating. Statins work, and roughly half of patients quit within 12 months. PCSK9 injectable antibodies work better, at $5,850 a year, with uptake rates so poor that cardiologists write papers about it. Today @NEJM published a trial that stops approximating. VERVE-102 is a base editor. One IV infusion rewrites a single DNA letter in liver cells, shutting down PCSK9 the way it's already shut down in Cohen's lottery winners. Heart-2 trial: 35 patients, six doses. The highest dose cut LDL 62% and suppressed PCSK9 protein 88%. Effects sustained 18 months and counting. No serious adverse events. The gap between the people who won the genetic lottery and everyone else just got an engineering solution.

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Guy Swann
Guy Swann@TheGuySwann·
This is the absolute most insane intervention imaginable. Imagine what happens when they find out cholesterol isn’t the problem and happens to be one of the most important things for our brains… and they’ve made a permanent gene edit to “stop it” Quite the opposite is going to happen of what they think. The medical industry is going to continue to be responsible for more and more deaths and chronic disease will keep exploding. Our arrogance knows no bounds.
Crémieux@cremieuxrecueil

Eli Lilly has done it. They've gone and made what seems to be a powerful, permanent gene therapy for LDL cholesterol. That means they'll be able to effectively prevent most heart disease with a single infusion!

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Nikhil Singh
Nikhil Singh@just_nikhil01·
hey, the video guy behind this one 👋 1.9M views. $0 spent. a lot of people are calling this the best AI-generated video they've seen in a while (@theo was one of them🐐) and the funniest thing is, i started making videos like this only 2 weeks ago 😭😭 A lot of people have been DMing me asking how i made it, so here you go. quick backstory: i'm just a random 20-year-old engineering student from india, currently interning at Thine AI. about 3 weeks ago, my founder and manager told me: "Nikhil, just make cool stuff. forget about promoting the product." so that's exactly what i did. since then i've been spending way too much time experimenting with different ideas. my exams are also happening this month, but who cares 😭 i tried a bunch of different versions before this, some inspired by the goat @adilmania, some completely random, but none of them really felt right. then this one finally clicked. okay, enough yapping. here's the secret sauce: for brainstorming and scripting, akanksha and i mostly use @ThineAI . coz random ideas hit at weird times, and it helps organize all of them. it also knows my storytelling style a little too well at this point 😭 for video generation, i used kling 3.0 through @invideoOfficial . the workflow is super organized, which makes iterating much faster (@_sankyy crazy product🙌) everything else was just trial and error, late nights, and obsessing over tiny details that very few people even noticed. but that's the whole point. you have to go the extra mile to make your video 1% better. and in this era of copy-pasting, that 1% is the breaking factor period
Siddhartha Saxena@siddsax

Anthropic onboarding day: Michael Scott introducing Karpathy like he just signed Wemby in free agency.

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₿itcoin ₿utcher 🥩 🐑 🐷
$IREN Pushing $12B FWD ARR by end of 2027 @JonahLupton some quick napkin math on where we may be by the end of next year. Ran out of time to outline assumptions in more detail but plan on building this out for next 5 years with related DC cap ex and GPU expenditures to estimate funding needs.
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Trung Phan
Trung Phan@TrungTPhan·
Ferrari's Chief Designer Officer Flavio Manzoni explains the design of the Ferrari Luce EV: "Normally, when we design another type of Ferrari in terms of aerodynamics, the main objective is the downforce...The [main objective for an EV] is the drag coefficient. The parameters are totally different. [The EV] must be like a kind of solid object, very pure. The body side must be almost continuous, almost flat. Even the wheels must be flat." The drag co-efficient is particularly important for battery efficiency for driving at high speeds. Great video from Cleo (including a tour of the interior with Jony Ive).
Cleo Abram@cleoabram

Watch the full Ferrari HUGE* Conversation here: youtu.be/K-o0r2zSgCE?si…

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Ihtesham Ali
Ihtesham Ali@ihtesham2005·
A Stanford psychologist spent 4 years proving that the simple act of walking generates 60% more creative ideas than sitting, and the experiment she designed to kill every alternative explanation is one of the most decisive findings in modern psychology. Her name is Marily Oppezzo. She got the idea for the study while walking with her advisor at Stanford to discuss her thesis topic, and the paper she eventually published in the Journal of Experimental Psychology in 2014 is sharp enough that it should have ended the seated meeting on the day it came out. She ran 4 experiments on 176 people. Same person tested twice. Once sitting, once walking. The creativity tasks were the standard ones psychologists have used for decades to measure how good a brain is at generating novel useful ideas. The result was almost too clean to publish. 81% of participants in the first experiment produced more creative ideas while walking than while sitting. In the second experiment, 88%. In the third, 100%. Every single person walked into a more creative version of themselves. On average, people generated 60% more novel useful ideas the moment their legs started moving. The skeptical question is the obvious one. Maybe it was the fresh air. Maybe it was the scenery passing by. Maybe it was the change of environment doing the work, not the walking itself. Oppezzo killed every one of those explanations with one experimental decision. She put people on a treadmill facing a blank wall. No scenery. No fresh air. No environmental change. Just legs moving in place while staring at white drywall. The 60% boost held. Then she ran the experiment that closed the case completely. She took participants outside in two conditions. Half of them walked through a Stanford courtyard. The other half were pushed through the exact same courtyard in a wheelchair. Same outdoor stimulation. Same scenery passing at the same speed. The only difference was whether the legs were moving. The walkers produced dramatically more novel high-quality ideas than the wheelchair group. The outdoors did almost nothing on its own. The walking did everything. This is the part of the study that hit hardest when I read it the first time. She also tested the opposite kind of thinking. Convergent thinking. The kind where there is one right answer and you have to narrow down to it. Word puzzles where 3 words share a hidden fourth word that connects them. The seated participants did slightly better on these. Walkers got slightly worse. Walking is not a general intelligence enhancer. It does one specific thing. It opens up the divergent search inside your brain. The part that generates options. The part that produces unexpected connections. The part that takes a problem and finds five ways into it instead of one. When you need to converge on the single right answer, sit down. When you need to find the answer in the first place, get up. The mechanism is now well understood. Walking selectively activates what neuroscientists call the default mode network, the system inside your brain that runs when you are not consciously focused on anything. The DMN is where mind-wandering happens. Where memories cross-reference each other. Where ideas that have been sitting in separate folders inside your head finally bump into each other. When you sit at a desk and force yourself to concentrate, you suppress the DMN. When you walk at a natural pace, the executive part of your brain gets just busy enough handling the walking that the DMN comes online and starts doing the work that focus was blocking. The most useful finding in the entire paper is the one almost nobody quotes. The boost did not turn off the moment people stopped walking. Participants who walked first and then sat back down stayed elevated. Their next round of seated creativity work was still significantly better than people who had been sitting the whole time. The rest lingered for at least several minutes after the legs stopped moving. You do not need to do creative work while walking. You need to walk before the creative work. The brain holds the state. The history of this is the part that should haunt anyone who still does meetings in chairs. Charles Darwin built a gravel loop behind his house in Kent called the Sandwalk and walked it 3 times a day for the rest of his life. The theory of evolution was developed one lap at a time on that path. Nietzsche walked up to 10 hours a day during the years he wrote his most important books and openly said the work was conceived on his feet. Beethoven composed for the morning and walked for 5 hours every afternoon with a pencil in his pocket for when something landed. Kahneman said the best thinking of his Nobel Prize-winning career happened on leisurely walks with Amos Tversky. Steve Jobs refused to take important conversations sitting down. He held them on foot. Every one of them was using the system Oppezzo would not measure until 2014. They just did not know what to call it. The question worth sitting with is the one almost nobody asks. Every meeting you have ever attended sitting around a table was a meeting held at a fraction of the brain power that was actually available to the people in the room. Every brainstorm that got stuck inside a conference room. Every problem you tried to solve at a desk and gave up on. Every idea you could not quite get to. The intervention is the easiest one in modern science. No supplement. No app. No subscription. No training program. Just a pair of legs and 15 minutes. The Stanford lab proved it. The philosophers knew it. The neuroscience explains it. And almost everyone reading this is still trying to think their way out of problems sitting completely still.
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Chubby♨️@kimmonismus

One injection, 62% lower LDL - permanently. Gene editing for cholesterol is here. .@cremieuxrecueil is correct. Besides GLP-1 antagonist like Ozempic or, more recently, Retatrutide, this is probably the next breakthrough that is almost impossible to put into words. Verve Therapeutics (Eli Lilly) just published Phase 1 results for VERVE-102 in the NEJM. It's a single-infusion base-editing therapy that inactivates PCSK9 in the liver. At the highest dose, PCSK9 dropped 88% and LDL cholesterol fell 62%. Reductions held for at least a year. 35 patients with familial hypercholesterolemia or premature coronary artery disease. No dose-limiting toxicities. Main side effects: mild infusion reactions and transient liver enzyme elevations. Still Phase 1, still small, no cardiovascular outcome data yet. But the proof of concept for permanent, one-shot LDL reduction via gene editing is real. This is an absolute game changer and im not exaggerting. Elevated LDL cholesterol is responsible for an estimated 4.4 million deaths every year worldwide and remains the single biggest modifiable driver of cardiovascular disease, the leading cause of death globally.

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Anp🅰️nman
Anp🅰️nman@spacanpanman·
$ASTS: 🐂 Consensus Street Estimates for Revenue and EBITDA
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InvestingDaws
InvestingDaws@InvestingDaws·
The year is 2031. $65 Billion projected ARR for $IREN. Looking for the community to help point out any errors or bad assumptions. But I think this forms a reasonable bull case for ARR based on what we know today.
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Small Cap Snipa
Small Cap Snipa@SmallCapSnipa·
🚨 GOLDMAN SACHS PROJECTS U.S. DATA CENTER POWER DEMAND TO DOUBLE BY 2027 • 66 gigawatts in 2027 from 31 GW in 2025 • Only About 50-60% of data center capacity scheduled for the next one to two years is expected to come online
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Jonathan D
Jonathan D@mymorristribe·
$EOSE Help me out finance GURUs...how BIG of a deal is reaching "positive adjusted EBITA by end of year"? Seems like they'd need like a massive improvement in cost-out measures to achieve that right?
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GURGAVIN
GURGAVIN@gurgavin·
DURING THE DOT COM BUBBLE EVERYONE CALLED YAHOO THE SAFE BET WHAT THEY MISSED YAHOO’S CLIENTS WERE THE DOT COM COMPANIES. THE ONES WITH NO PATH TO PROFITABILITY THEY COLLAPSED, YAHOO COLLAPSED WITH THEM SAME THING IS HAPPENING IN AI. EVERYONE RUSHING TO THE ‘SAFE’ INFRASTRUCTURE PLAYS. GPUS, CLOUD, APIS BUT WHO’S PAYING THOSE BILLS? AI STARTUPS WITH NO REAL REVENUE, NO PROFITABILITY, AND A VC CHECK THAT WON’T LAST FOREVER. FUNDING DRIES UP. DOMINOES FALL. SO WHO ALL IS YAHOO THIS TIME? (YOU ALREADY KNOW)
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