EIR at redriverwest.com, Co-Host decipheredshow.com, Co-Founder @AppAnnie/@DataAI, @ISEP and @Wharton alum, đŸ‡«đŸ‡· born and raised. Tweets are my own

Joined February 2008
Photos and videos
Glad to see the complexity of OpenAI offering is going to disappear
12 Feb 2025
OPENAI ROADMAP UPDATE FOR GPT-4.5 and GPT-5: We want to do a better job of sharing our intended roadmap, and a much better job simplifying our product offerings. We want AI to “just work” for you; we realize how complicated our model and product offerings have gotten. We hate the model picker as much as you do and want to return to magic unified intelligence. We will next ship GPT-4.5, the model we called Orion internally, as our last non-chain-of-thought model. After that, a top goal for us is to unify o-series models and GPT-series models by creating systems that can use all our tools, know when to think for a long time or not, and generally be useful for a very wide range of tasks. In both ChatGPT and our API, we will release GPT-5 as a system that integrates a lot of our technology, including o3. We will no longer ship o3 as a standalone model. The free tier of ChatGPT will get unlimited chat access to GPT-5 at the standard intelligence setting (!!), subject to abuse thresholds. Plus subscribers will be able to run GPT-5 at a higher level of intelligence, and Pro subscribers will be able to run GPT-5 at an even higher level of intelligence. These models will incorporate voice, canvas, search, deep research, and more.
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Pretty good list!
I have invested in over 250 pre-seed startups, mostly in B2B software. The most successful ones have had some distribution tricks to quickly get their first happy customers. Here are the Best (and worst) distribution wedges I have seen for Pre-Seed software startups.
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Good to bring some realism to what it means to bring manufacturing back anywhere... these are some of the starting points to start to have a chance to compete against China in manufacturing. Anything less, and competing is delusional...
Bringing back American manufacturing is one of the most important challenges we face as a nation, and @garrytan is being delusional. That’s okay, btw; VCs have to be delusional—it’s part of their job. The source of his (and many VCs') delusion is that they think bringing back American manufacturing can be solved by robotics, software, and efficiency. Unfortunately, the problem is much deeper than that. Time for a quick history lesson...because it’s important to understanding how we fix this. LET'S HEAD OVER TO CHINA... Because fixing this problem involves figuring out what we are competing against. Let’s go back to 1979. Deng Xiaoping decides to open up China. He enacts a few policies that have MASSIVE impacts on the United States' ability to manufacture—specifically related to financial subsidies: Special Economic Zones: Geographic zones were created with lower taxes to establish CLUSTERS of manufacturing expertise. This was massive. The entire chain of manufacturing was strategically geolocated to minimize supply chain friction. Financial subsidy here? Lower taxes. Infrastructure Investment: They built out massive infrastructure projects, but I’m going to highlight two important ones: highways and industrial parks. The government ACTIVELY BUILT COMMERCIAL REAL ESTATE that they gifted to the chosen few. This is insane. Imagine us doing this at SCALE. Financial subsidy here? Literally free infrastructure. Direct Manufacturing Subsidies: Where do we even start here? -They gave free land to factories. -They provided below-market loans to entrepreneurs. -They SUBSIDIZED ELECTRICITY, WATER, AND RAW MATERIALS. They gave REBATES FOR EXPORTS (!!!). Don’t believe me? Let’s look at a few examples. Steel Industry: Baosteel (now part of China Baowu Steel Group) received massive state support, including:Below-market loans worth billions from state banks Government-funded infrastructure for new plants Subsidized iron ore through state trading companies Hebei Iron & Steel (HBIS) benefited from:Provincial government land grants Electricity subsidies Debt-to-equity swaps when struggling Aluminum Processing: China Hongqiao Group became the world’s largest aluminum producer through:Subsidized coal power from the local government Discounted loans from state banks Tax rebates on exports Chalco (Aluminum Corporation of China) received:Direct cash grants for technology upgrades Preferential access to bauxite resources Government-backed bonds for expansion Notice how I haven’t even MENTIONED the low-cost labor. Maybe that’s for a different thread. Let’s look at some fun numbers from the Kiel Institute: According to conservative estimates, China’s industrial subsidies amounted to €221 billion or 1.73% of GDP in 2019. This is 3–4 times higher than subsidy levels in large EU countries and up to 9 times higher in more comprehensive studies. Over 99% of listed firms in China received direct government subsidies in 2022. If you aren’t sensing a theme here yet, let me make it explicit: China used the power of government subsidies to dominate the entire manufacturing world in 25 years. They may be smart. They may be hardworking. But the main reason they won was INSANE government subsidies that would give your favorite libertarian cold sweats. Trump and JD Vance claim to want to bring back American manufacturing. Some of their advisors also claim to want small government. Unfortunately, this problem (imo) is ONLY solved by an extreme partnership between the government and private industry. IMO, you can have one of two options: No government involvement, and we continue losing manufacturing to China. Lots of government involvement, and we maybe win. All of you e/acc / reindustrialization fans need to start writing letters to Congress, lmao.
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Bertrand Schmitt retweeted
There are banking regulations and then there are banking "regulations". We live under the latter. An unconstitutional conjoining of state and private power. And, I believe, prosecutable. Conspiracy to deny rights with no due process.
Folks. Banking regulations DO NOT require banks to kick out Politically Exposed Persons (@pmarca ). They just have to go through enhanced due diligence and monitoring. The practical effect may indeed be to cause management to blanket disallow them, because the fines are huge.
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Great read as usual from Benedict Evans
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Sad truth about the state of Europe, and where it might end up if it keeps doing more of the same... the need for reform is dire
I'm German. 16 years ago, the EU and US economies were neck and neck. Today, the US economy is 50% larger than the entire EU combined. Here's the devastating truth behind Europe's ongoing economic suicide đŸ§”:
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Bertrand Schmitt retweeted
What Polymarket got Right that the Experts Got Wrong As the dust settles on the election, there’s a story that the WSJ and NYT didn’t tell you. While the mainstream news was busy with their TV pageantry and hedging on calling key swing states, Polymarket, the world’s biggest prediction market, had already delivered its verdict by midnight EST, declaring Trump was 97% likely to win. This was before the media called even a single swing state. All throughout this election, Polymarket was always one step ahead. I want to explain why this is, because judging from the Twitter responses I was getting last night, most people deeply misunderstand this. There are two fundamental things that Polymarket did better than the media. 1. Polymarket was more accurate on the forecast going into the election. Let’s take the pollsters and analysts. Election poll-based models claimed the race was a dead-even 50/50. Polymarket meanwhile was priced Trump with a distinct edge—going into the election, he was priced around 62% to win. If you remember, the mainstream media derided Polymarket for this difference. Polymarket should be the same as the modelers, they said! Obviously it means you can’t trust Polymarket. It’s priced differently because it’s a bunch of Trump-loving crypto bros. It’s invested by Peter Thiel. Only foreigners trade on it. It's unregulated, so it must be being manipulated. There's a whale pushing up the price of Trump. And on and on. Implicit in this dismissal is a deep distrust of markets. As though markets cannot be trusted unless affirmatively proven otherwise. And of course, if you actually trusted the markets, you might not trust the media anymore. And their whole business model is predicated on you distrusting anyone but them—why else would you continue to click on their never-ending stream of clickbait? But anyone with experience with markets knows: it doesn’t fucking matter if a market is composed of Republicans, or Democrats, or foreigners, or whatever. In reality, we know that JP Morgan was using Polymarket, as were some of the largest hedge funds in the world (most have non-US subsidiaries). It was integrated into Bloomberg Terminal, it was being quoted on CNN. And yet the media spoke of Polymarket as though it was 4chan. Understand, Polymarket traded $3.6 BILLION dollars on the presidential election. This was the largest election betting market by volume IN HISTORY and AN ORDER OF MAGNITUDE more than any other election market ever. There was more riding on this than any single modelers’ career prospects. Understand—markets work because of how much is riding on getting the answer right. These supposed biases—being Trump-aligned crypto-pilled non-Americans—didn’t skew the market’s accuracy. (It seems obvious in retrospect that being non-American might improve your ability to dispassionately predict an election.) But the identities of the bettors didn't matter. Prediction markets distill input from many diverse actors to produce prices that transcend biases. Markets don't care about ideology, they only care about being right. And as it turns out, Polymarket was more right than any pollster or modeler. Now, I want to be clear what I’m not saying: the difference between 60/40 and 50/50 sounds big, but it’s not. Elections are noisy. High school statistics will tell you that if you want to tell if a coin is rigged to be 60/40 rather than 50/50, you would need over 100 coin flips to have 90% certainty. The outcome of “Trump won this election” does not tell you whether the coin was 60/40 or 50/50. My point is not that Polymarket was right and the models were wrong. They actually didn't disagree with each other by much. I'm making a more subtle point: the market was consistently pricing Trump’s odds higher than the polls. Remember, the market knows what the polls and analysts are saying. Markets incorporate all existing information—but Polymarket disagreed with with the pollsters. The only explanation that analysts could come up with for this was: Polymarket is biased. They didn’t have the humility to imagine, maybe, just maybe, Polymarket knew something that was not being captured by the polls. Polling sucks. This is all well established now. In the pre-Internet era, polling was much more accurate. Landline poll response rates were often above 60%. Today, poll response rates are around 5%. This means pollsters are getting massive sampling biases, and there is no possible way to correct these biases without baking in clumsy statistical corrections. (Plus pollsters—who are ultimately selling a product and have reputations to keep up—frequently herd their estimates together to avoid being an outlier, which fucks up poll aggregation.) Plus, Trump is special. He is uniquely divisive in American politics. So for three elections in a row, we have seen massive polling errors that underestimated his support—the so called “Shy Trump Voter” effect. Polymarket presumably believed that the polls were missing this. The pollsters said, no: we’ve updated our models and corrected for it. Polymarket said: I don't buy it. Polymarket was right. Now, again! Polymarket did not say the election was 90% for Trump to win. 62% is not a sure thing, and elections are genuinely uncertain. But what irks me is that there was not even a tinge of curiosity from the media about the delta. Maybe Polymarket knows something we don’t? Maybe there’s information we’re missing that’s not being captured in the polls? Remember, Trump massively outperformed his polls all across the country, in both red states and blue ones. He sweeped every single swing state, and even won the popular vote—something most people thought impossible. Are you really so confident that there was no way to detect this—the sentiment of tens of millions of Americans—that didn’t involve the same old pollsters running the same old Internet surveys? This is what being a student of the markets teaches you. Markets are smart. But they don’t explain themselves—they just show you the outcome. That brings us to the second way that Polymarket outperformed the media. 2. Polymarket called the election in real-time, way before the media did. The inscrutability of markets came in full force on election night. Polymarket moved quickly and violently before a single swing state was ever called. According to Polymarket, the election was over by midnight, while the mainstream media was milking the drama until the election was officially called at 6AM the next morning. Why was this? First, Polymarket saw an important correlation that the mainstream media was not willing to explain to their viewers. You see, polling errors are seldom random; they are usually correlated across states. So when traders saw that Trump was massively outperforming his polls in states that were not themselves competitive—picking up huge vote share in NYC (cleanly blue) or Florida (cleanly red), this meant that there must be a massive polling miss across the country. Polymarket immediately picked up on this and realized that the swing states could not possibly be competitive anymore. Polymarket priced Trump to win Pennsylvania at 90% by 11:30PM, when only a small portion of the Pennsylvania vote had been counted. Prediction markets don’t wait for pageantry or pundits. It doesn’t care if it invalidates the sacred ritual of waiting for the votes to be counted. Remember in 2020 when Fox News called Arizona early (which turned out to be correct), viewers were outraged. Trump vowed to boycott the network over it. This reinforced the lesson—the networks must sit there and dutifully count up the votes. Don’t be too clever. But markets don’t care about drama. They only care about outcomes. Obviously, it would be incredibly difficult to explain to a CNN viewer that the election is over, the polling error in non-competitive states is too big, Kamala is doomed and you should go to sleep and not bother to wait for swing states. It goes against the narrative that the media has been reinforcing for months. The public wants simple, explainable stories, and everyone knows how the narrative is supposed to go—you wait for the swing states and until one of the little colored bars crosses the 270 line. At 12:51AM, the NYT was still showing this dramatic chart and headline. By then Polymarket already had Trump priced at 98% to win. So election watchers dutifully stayed up through the night so the media could complete its empty ritual of filling up the bars. Polymarket’s traders have no loyalty to narrative and no incentive to play up the drama for ratings—they just call it straight. @shayne_coplan, Polymarket’s founder, said that Trump’s campaign team was reading Polymarket to try to understand how to actually interpret the odds. The media even had the gall to complain that Trump was declaring victory when his electoral count was at 267—at that point, the Polymarket odds were so low that they registered as 100%. The beauty of markets is they respond instantly to new information. The fastest trader who incorporates the information gets a prize—profit. This is something traditional media fundamentally is not set up to do. They have to filter events through layers of interpretation, narrative making, and internal politics (recall Murdoch’s intercession into the 2020 Arizona call). The decentralized nature of Polymarket bypasses all this bullshit. It lets information flow without any interference. There is a lot to reflect on from last night. This election was a resounding reprimand of the Democratic party, a rejection of the expert class, and an immune response against an arrogant media. But for Polymarket, it was a night of pure vindication. For me, the lesson is this: the next time something important is going on in the world, skip the op eds and check the Polymarket odds.
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Bertrand Schmitt retweeted
Sundar Pichai said on the earnings call today that more than 25% of all new code at Google is now generated by AI.
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Great news that #AI is not going to get over-regulated, and captured by special interests. If approved, it would have had a dramatically negative impact on California, and US leadership at large.
Newsom Vetoes SB 1047 in Victory for AI Sector Sunday afternoon, Gavin Newsom vetoed SB 1047, the high-profile AI bill whose early versions would establish a new government agency to enforce a compliance scheme on developers of “covered models” — those that used 10^26 or 10^25 floating point operations (FLOPs) for training or fine tuning, respectively — under threat of perjury. Critics of the bill, which included Silicon Valley venture capitalists, California startup founders, AI policy wonks, academics, and a bi-partisan set of lawmakers, argued it would stifle AI innovation and throttle California’s economy. “[T]he bill as currently written would be ineffective, punishing of individual entrepreneurs and small businesses, and hurt California’s spirit of innovation,” Ro Khanna, the Democratic lawmaker who represents California’s 17th district, said last month in a statement condemning the bill. Days later, top Democrat Nancy Pelosi published a statement opposing the bill, saying, “While we want California to lead in AI in a way that protects consumers, data, intellectual property and more, SB 1047 is more harmful than helpful in that pursuit.” Before his veto, Newsom echoed these concerns, saying the bill could have a “chilling effect” on the AI sector. Lawmakers began publicly opposing 1047 after persistent criticism and behind-the-scenes work from Silicon Valley executives and AI policy researchers. In early August, a16z's Chief Legal Officer Jaikumar Ramaswamy sent a 14-page letter to Sen. Scott Wiener, who introduced the bill, arguing that 1047 would favor closed-source over open source models and was too vague to be actionable, but nevertheless would impose criminal penalties on developers for noncompliance. And in June, a16z and Y Combinator co-published a letter in opposition to the bill signed by 140 AI startup founders. Advocacy groups opposed to 1047 such as Context Fund, an open-source community, pursued direct efforts in Sacramento as well. “Back in late March, we were talking to Senator Wiener's office. We spent about a month with them, expressing concerns and trying to get amendments into the bill, but that didn’t happen,” founder Chris Lengerich told Pirate Wires in July. “From the scientific community, the builders, the investors, and broadly — across the board — there's been a universal rejection of the ambiguous regulatory regime that SB 1047 imposes,” he said. “From the scientific community, the builders, the investors, and broadly — across the board — there’s been a universal rejection of the ambiguous regulatory regime that SB 1047 imposes,” he said. The bill was also criticized because it was all but authored by the Center for AI Safety (CAIS), an advocacy firm highly aligned with — and funded by — Effective Altruists, a group that believes AI will eradicate humanity unless the state regulates it. In addition to pushback from Silicon Valley and policy groups, a broad set of high-profile figures and academics in AI made statements opposing 1047. Meta's Chief AI Scientist Yann LeCun called the bill “extremely regressive,” and UC faculty and students circulated an open letter in opposition to Wiener's bill. Stanford Institute for Human-Centered Artificial Intelligence (HAI) co-director Dr. Fei Fei Li, HAI deputy director Russell Wald, and Bren Professor of Computing at CalTech and former senior director of machine learning research at Nvidia Anima Anandkumar all came out against the bill as well. Since introducing the bill in February, Wiener has steadfastly deflected criticism of the bill by characterizing its opponents as “the loudest voices,” “[insisting] that SB 1047 is ‘light-touch’ regulation supported by the vast majority of Californians and opposed only by a vocal minority of billionaire accelerationists.” Dan Hendrycks, one of two executives at CAIS, has argued that 1047 would establish “commonsense safeguards to mitigate against critical AI risk.” Several high-profile figures in the tech community made statements supporting the bill, including Elon Musk, Turing Award winning computer scientist and professor Yoshua Bengio, and Anthropic CEO Dario Amodei. “This is a tough call and will make some people upset, but, all things considered, I think California should probably pass the SB 1047 AI safety bill [...],” Musk posted on X in August. “For over 20 years, I have been an advocate for AI regulation, just as we regulate any product/technology that is a potential risk to the public.” In the run-up to the bill landing on Newsom’s desk, Vox, LA Times, Fortune, and other mainstream outlets published editorials supporting 1047. “California’s governor has the chance to make AI history,” Vox’s headline read. Its subhead: “Gavin Newsom could decide the future of AI safety. But will he cave to billionaire pressure?” In July, Pirate Wires reported that CAIS is closely connected to Effective Altruism — having received around $10m in funding from EA’s philanthropic arm Open Philanthropy. In the piece, we pointed out the apparent conflict of interest represented by the fact that while Hendrycks was significantly involved in drafting 1047 through his leadership role at CAIS, he launched an AI safety compliance company called Gray Swan that seems poised to capture demand for third-party compliance firms the bill would create. In so doing, Hendrycks would essentially serve as a primary enforcer of AI safety compliance and thus wield outsized influence over the sector. A week after our reporting on the conflict of interest, Hendrycks said he would divest his equity stake in Gray Swan. Last month in Pirate Wires, Mercatus Center Research Fellow Dean W. Ball further detailed CAIS’ involvement in the bill, and Weiner’s long-term relationship to Effective Altruists: "[To help draft the bill,] Wiener — one of California’s most powerful and ambitious politicians— turned to Hendrycks and CAIS
[who] even set up a distinct lobbying group, the Center for AI Safety Action Fund, after "getting lots of inquiries from policymakers, including Senator Wiener... to have a vehicle that could do more direct policy work," per Nathan Calvin, CAIS senior policy counsel. Then, as a co-sponsor of 1047, CAIS and Hendrycks drafted the bill in all but name [...] When Wiener sent out the bill of intent for 1047, lines of communication had already been open between Wiener and EA for years. The Senator has been a champion of YIMBY initiatives since at least 2018, and Open Philanthropy was the "first institutional funder of the movement," per its Wikipedia page. As of late last year, it's donated around $5 million to YIMBY efforts, $500,000 of which had gone to the nonprofit California YIMBY by the time it sponsored Wiener's SB 10, a housing bill that passed and was ultimately signed into law by Gavin Newsom in 2021." "I'm heartened that reasonable and informed voices prevailed. But SB 1047 is just the beginning, not the end, in terms of making sure AI regulation advances beneficial technologies, including supporting open source and startups," policy researcher and investor Lauren Wagner, who recently debated Hendrycks on the bill for the Carnegie Endowment, told Pirate Wires. "I want to see transparency requirements and increased state capacity for AI expertise, so that policymakers are making decisions based on evidence and a plethora of expert voices," she added. Newsom’s veto marks a notch in the discourse on the role of regulation in nascent technology sectors. Earlier this month, Newsom signed a string of AI related bills into law concerning AI generated deepfakes, AI-generated election-related memes, and using AI to clone actors and actresses. — @brandongorrell ━━━━━━━━━━ References for this post are in the article on our site. Go to Pirate Wires to read it.
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Insanely bad venture capital metrics in China... the future of startups and innovation in China is probably very dark, unless a dramatic turnaround in policy happens
12 Sep 2024
Many in Washington are preoccupied with China. If this article is accurate, the #1 thing we could do to improve US competitiveness, would be to open the door much more broadly & quickly to skilled immigration. Give these amazing entrepreneurs a home on US soil. @committeeonccp
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Very good recommendations to improve business conditions in EU from @levelsio
9 Sep 2024
đŸ‡ȘđŸ‡ș eu/acc A few weeks ago Mario Draghi asked my recommendations for his report that came out today about European competitiveness I had a call with him and summarized my problems with doing business in the EU I wrote this which is included in the report presented to the European Union today: 1. Minimum revenue cut offs for current and new regulation Exempt small businesses with annual revenues below €10 million from complex regulations like VATMOSS, GDPR, the EU AI Act, and certain labor laws. This approach encourages innovation and growth by allowing startups to focus on product development and market validation without the heavy burden of regulatory compliance. Once these businesses surpass €10 million, they will have the resources to comply with regulations, ensuring that growth is not stifled. 2. Simplify starting a pan-EU business with an EU-wide Incorporation (Inc.) business form Currently, starting and operating a business across the EU is complex due to 27 member states, each with its own company registration requirements. To streamline this process and make it easier for entrepreneurs to operate across Europe, there should be a single, standardized business entity that applies uniformly across all EU countries. I call this the European Inc. 3. Start an EU business fully online, no physical offices, notaries, lawyers etc To continue, right now starting a business in most EU member states it’s complicated, very time and resource intensive, and often involves lawyers and notaries. Instead, it should be as simple as going online to a centralized EU website, where entrepreneurs can register their business and details in just a few clicks. The entire process should be streamlined and efficient, allowing businesses to start operating immediately. The EU government taxes and bookkeeping of this business should also be fully online in an EU portal/dashboard. 4. 0% corporate tax for first 3 years of any new business Countries like Singapore have successfully attracted new businesses from around the world by giving them a massive tax discount during the first 3 years of business. Because they know that’s the most difficult time of a business: figuring out what product it makes and if there’s a market for it. That takes pressure off startups and business founders that they can focus on creating a great product and innovating. 5. Change tax on stock options: don't tax when a stock option is exercised, but tax it when the stock is sold The current tax policy in the EU taxes stock options at the time they are exercised, creating a significant financial burden on employees who have not yet realized any tangible financial gain. This approach stifles innovation, discourages entrepreneurship, and places the EU at a competitive disadvantage compared to other regions like the United States. I propose a simple change: Tax stock options when the stock is sold, not when the option is exercised. 6. Don’t see tech or AI as an enemy, but as a burgeoning and essential industry The most popular companies in tech are focused on AI right now for a reason. It’s the next frontier of computing. The European Union seems to consider AI the enemy. Any technology can be used for good or bad. By regulating it even before Europe has made much contributions (Europe has almost no tech companies leading in AI), it has stifled any potential innovation in AI from the start. Apart from the regulation itself, the optics of it make the EU look bad on a global scale. Why would tech founders move to Europe to start a business if the EU is actively positioning itself as Anti-AI? AI has gigantic potential to be used for good: think of the medical field for diagnosis of diseases, generally in programming (it helps programmers to create software faster/better), etc. This goes further than AI. The same applies to tech in general. It seems the EU is on a crusade against technology while not being able to compete in it itself. It feels a case of sour grapes: if we can’t build great technology in EU, nobody is allowed to do so! 7. Teach tech/coding/AI topics in all schools and unis It would help a lot if the EU has a focus on teaching AI and tech in schools and universities. Making the new generation competitive in this field instead. To secure the future prosperity of the European Union, we must prioritize education in technology, coding, and AI across all levels of schooling, from primary education to universities. This strategic focus is not just an educational reform—it’s a critical investment in the future competitiveness, innovation, and economic resilience of the EU.
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Bertrand Schmitt retweeted
Read my new article in @palladiummag Since the dawn of industrial civilization, men have believed that humanity is on the brink of running out of food and resources, causing mass death and the collapse of society. For centuries, they have been wrong. 1/ palladiummag.com/2024/08/16/

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Amazing design... go #nuclear!
23 Jul 2024
If anyone wants a lay explanation of how a reactor could possibly be meltdown-proof, here it is: Nuclear reactors generate energy by giving off heat in a controlled way. The reactor core fissions and emit heat, and the cooling systems carry away that heat to do useful work. Older designs required the cooling to remove excess heat. This cooling apparatus was typically a pump, powered by the plant’s own output, with backup diesel generators in case the plant failed. If the power went out AND the backup generators failed, the cooling system would stop, heat built up in the reactor core, and things exploded. This is what happened at Fukushima: the backup diesel generators got flooded by the tsunami and didn’t come online. (The above is a simplification, obv) In the pebble bed reactor, the fuel and its configuration are constructed so that as temperatures rise, it becomes less efficient and gives off LESS heat. Thus, if unexpected external events cause a disruption in the cooling system (e.g. the generators break), the reactor’s own overheating causes it to slow down, which passively reduces the reactor’s output to a lower equilibrium until things can be fixed. This is actually a bit like how human bodies work: if you exercise (e.g. run) really hard, you give off heat. When you overheat, you don’t explode, your muscles just stop working and you are forced to stop until you cool off. If you have better cooling, e.g. running upright dissipates heat, but also cold drinks or even ice packs, you can keep on running for as long as you have fuel. So the cooling elements of “meltdown-proof” reactors are designed to carry away the heat for useful work, but if the cooling elements stop, the reactor fuel gets too warm to fission efficiently and slows down its own heat generation.
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Congrats to team #USA, proud of them!
Here is the team USA that just won the 2024 Math Olympics.
Community note
The attached image is NOT the United States' 2024 International Mathematics Olympiad Team. A picture of the team can be found here: maa.org/news/usa-first

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Nuts to have hosted an event making life so miserable for the locals, local businesses, and most of France, while having to pay more taxes for the "joy" of hosting them.
19 Jul 2024
I think non-French and non-French-speaking readers should be told about how utterly insane things are now in and around Paris because of the Olympics are. The opening ceremony is one week away and they've already barred any access to the Seine! đŸ§”â€”ïž ‱1/19
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The bigger question is: what is the strategy to change @Windows security model? It is obvious it is antiquated and not working securely, so what is going to be done about it in the coming months, so it can never happen again? @satyanadella
Yesterday, CrowdStrike released an update that began impacting IT systems globally. We are aware of this issue and are working closely with CrowdStrike and across the industry to provide customers technical guidance and support to safely bring their systems back online.
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Bertrand Schmitt retweeted
18 Jul 2024
Critically important post from @AbigailShrier on California’s “safety act” (see what they did with the framing). If you’re a parent I recommend getting educated on this topic: ïżŒ Child predators follow a common playbook: target the victim, gain their trust, fill a need, and, crucially, isolate the child from her parents. For several years, this has also been standard California state protocol with regard to schoolchildren questioning their gender identities. On Monday, this scheme became law. The “SAFETY Act,” AB 1955, signed by California Democratic governor Gavin Newsom, legally forbids schools from adopting any policy that would force them to disclose “any information related to a pupil’s sexual orientation, gender identity, or gender expression to any other person without the pupil’s consent.” Schools may not, as a matter of policy, inform parents of a child’s new gender identity unless the child volunteers her approval. The law also prohibits schools from punishing any school employee found to have “supported a pupil” hurtling down a path toward risky and irreversible hormones and surgeries. The law effectively shuts down the local parents’ rights movement in California by eliminating its most important tool: the ability to organize at the community level to stop schools from deceiving them. No longer can families hope to convince their school boards to require schools to notify parents that their daughter, Sophie, has been going by “Sebastian” in class; that her teacher, school counselor, and principal have all been celebrating Sebastian’s transgender identity; that they’ve been letting her use the boys’ bathroom and reifying the sense that she is “really a boy.”
18 Jul 2024
California’s New Law Lets Schools Keep Secrets from Parents. Critically important piece by @AbigailShrier in @thefp: thefp.com/p/abigail-shrier-c

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Bertrand Schmitt retweeted
17 Jul 2024
How much nuclear waste has the US ever created? You may have heard it would fit on a football field... But stacked how high? And stored how? @whatisnuclear wrote a great post on this... đŸ§”(1/8)
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