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“But the Nazis weren’t socialists because they crushed labor unions!” It wasn’t until 1980 that the first independent union was legalized in the Soviet bloc. “Solidarity” in Poland reached 10 million members in a year which was absolutely terrible for the commies. So in 1981, the Communist Party declared martial law. They sent their tanks into the streets, shot protesting miners, and jailed tens of thousands just to keep their grip on Poland. Jaruzelski cut the phones, sealed the borders, banned the union, and imprisoned the their leader Lech Wałęsa for 11 months. 3 days after that, riot police stormed the Wujek mine and killed 9 strikers who refused to accept the crackdown. Internments, censorship, and surveillance continued for years afterward.

Cognitive reward shapes in sports and career Sports are amazing environments to learn. When you play a sport for thousands of hours, you start to see the world through that sport. It is a simple fact—your biological neural network is being conditioned to respond to the behavior incentivized by the rules of the sport. The funny thing is that most people choose their sports for accidental reasons such as parents, geography, or school programs. People rarely think about how the particular sport you play influences how your brain thinks more generally. Going a step further, playing the right sport may even benefit your career. My two favorite sports are tennis and soccer. Tennis is one of the best sports for teaching consistency. In tennis, there are hundreds of points in a match, and each point is worth exactly one unit, regardless of whether your opponent made an unforced error or if you constructed the most beautiful point ending with a winner. Tennis is low-variance optimization—you win by reducing unforced errors, playing percentages, and grinding out small advantages. Tennis is also an individual sport, which teaches you to rely on yourself consistently. Tennis has a similar cognitive reward shape to professions like being a surgeon or a pilot. Surgery and aviation require consistency, self-accountability, and deep focus. And similar to how you can only win one point at a time in tennis no matter how spectacular it was, there is no extra credit for the best appendectomy or the smoothest SFO-JFK flight. Your craft is to provide consistency with very low tolerance for error. On the other hand, the tennis mindset transfers relatively little to entrepreneurship. Entrepreneurship is a high-variance, team game where failure is tolerated and occasional creativity gets rewarded exponentially. Minimizing unforced errors in tennis is a totally different mindset from deciding whether to make a moonshot business move that will likely fail but could potentially net a billion dollars. Obviously I am not saying that tennis players cannot be great entrepreneurs, but I do think it is a totally different cognitive reward shape. Being a forward in soccer has a much closer reward shape for entrepreneurship. What a forward in soccer learns is to create many small chances. It is a fact that most of the game, you are not scoring—even if you look at all the times that Mbappe got on the ball in one of his best games, most of those led to nothing! But all that matters is creating enough chances to score once (or a few times) and win the game. If you break down a 90-minute game for a forward, almost all the time is failure or noise, a few minutes will be leverage, and a few seconds will determine the fate of the game. I have not played soccer for thousands of hours, but I can imagine that being a lifetime forward in soccer would teach you to be comfortable with failure and asymmetric returns. In summary, I am claiming that there can be substantial value when the cognitive reward shape of your sport mirrors that of your career. I’ll admit that I’ve done some cherry-picking for illustration purposes—entrepreneurship also requires consistency and error avoidance; and goalies in soccer have reward shapes that are very different from strikers. But I think the point stands. If sports shape how we perceive risk, effort, and reward, then we should choose them wisely.

【生徒紹介・スキル編】 普段の学生生活とバンド活動中とでギャップが激しいツムギさん。 EXスキルでは、円形範囲内の敵にダメージを与える他、一定時間の間、混乱状態を付与します。さらに、中型と小型の敵には追加ダメージも与えます！ なお、ツムギさんのEXスキルでは会心が発動しませんので、ご注意ください！ STRIKER：椎名ツムギ タンク・FRONT CV：#高田紗希衣# #ブルアカ#

Attacking the zone. Competing every pitch. Strong weekend at the @TopGunEvents KC Fall Futures College Exposure! ⭕ 2-0 | 6 IP | 0.00 ERA | 8 K | .174 BAA 🎯 77% first-pitch strikes | 70% strikes ⚡ 50% of hitters finished in 3 pitches or fewer with 1.00 WHIP 🥎 .400 AVG | .955 OPS | 4 RBI | 4 R It wasn’t the team finish we wanted, but I loved competing with my @Aces_SoftballKC teammates and there’s a lot to take away from the weekend. 💜 Proud of how I attacked the zone and competed on both sides of the ball. @STayTaylor18 @rktaylor12 @EliteHeatFP @TGETalent @acesfastpitch14 Next up: camp season! 💪💜 #ClassOf2030# #2030Softball# #RHP# #SoftballRecruiting# #SoftballPitcher# #AcesFastpitch# #CollegeExposure# #TopGun# #Slapper#

50 legendary internet rabbit holes you can spend hours exploring👇 1. — Watch the world via live satellite imagery 2. — See every plane currently in the sky 3. — Track all ships at sea in real time 4. — Live map of winds and storms 5. — Watch lightning strikes hitting Earth in real time 6. — Live list of recent earthquakes 7. — Ocean cables carrying the internet 8. — Watch forests disappear from space 9. — The world's statistics, second by second 10. — Current number of tweets and searches being posted 11. — Compare the true sizes of countries 12. — Maps from centuries ago 13. — Archive of 150,000 historical maps 14. — World map drawn by volunteers 15. — Look out the window of a random person around the world 16. — Virtual walks through cities 17. — Teleport to a random spot on Earth 18. — Catalog of the world's strangest places 19. — Interactive knowledge experiences 20. — Scale journey from atom to universe (Updated HTML5 link) 21. — Explore the solar system in 3D 22. — Real sky map in your browser 23. — NASA's astronomy picture of the day 24. — NASA's entire visual archive, free 25. — Visual articles told through data 26. — The state of the world with real data 27. — What we mistakenly think we know about the world 28. — Visualizing complex data 29. — World Bank's open data 30. — Turkey's official statistics database 31. — Archive of millions of books, films, and software 32. — 70,000 free books whose copyrights have expired 33. — Record of every book in the world 34. — U.S. Library of Congress digital archive 35. — Europe's cultural heritage archive 36. — America's digital library collection 37. — Tour museums from home 38. — Download artworks in high resolution 39. — Archive of 250,000 artworks 40. — Forgotten visual treasures of history 41. — Free archive of culture and education 42. — Met Museum's open collection 43. — Family tree of music genres 44. — Pick a country and decade to listen to that era 45. — Turn Wikipedia edits into audio 46. — Random knowledge well 47. — Time, sunrises, and sky events 48. — Live stream of science news 49. — Free preprints of scientific papers 50. — Visualize data with live code Save this. You’ll definitely need some of these later. 🔖 Follow @justinbrave21 for more useful websites, AI tools & tech resources.

A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. The U.S. reportedly offered Iran a deal to halt the siege and lift sanctions in exchange for reopening the Strait of Hormuz and ending proxy attacks, according to Al Arabiya. Axios also reports that Rubio told several foreign counterparts the U.S. does not plan new strikes on Iran for now, with pressure shifting toward the naval blockade and new sanctions campaign instead. Crude Oil fell 4% and the 10-year treasury bond fell from 4.72% to 4.62%. 2. Global physical gold-backed ETFs $GLD attracted $6.4B of inflows last week, their largest weekly intake since January and the 3rd-largest weekly inflow on record. North America led with $4.4B, followed by Europe at $1.7B and Asia at $300M. This marked the 7th straight week of inflows, with global gold ETFs pulling in $16.4B over that stretch. Total AUM in global gold ETFs rose by $33B last week to $615B, the highest level since the second week of May. 3. Intuit $INTU reported Q4’26 revenue of $4.4B, beating estimates of $4.27B and up 14% YoY. Adjusted EPS came in at $4.03 versus $3.58 expected. Global Business Solutions revenue rose 14% YoY to $3.4B, the Online Ecosystem grew 17% YoY to $2.6B, Consumer revenue increased 14% YoY to $930M, and Credit Karma revenue rose 16% YoY to $743M. For FY27, Intuit guided revenue to $23.3B–$23.5B versus $23.72B expected, while adjusted EPS guidance of $22.88–$23.12 came in well below the $27.32 estimate. The company also raised its dividend 15% YoY to $1.38/share, bought back $5.5B of stock, and has $7.9B remaining on its authorization. Management said its strategy is to win as an AI-driven expert platform while staying disciplined on investments and scaling its big bets. 4. President Trump said the U.S. Navy has removed and/or detonated all mines from international waters in the Strait of Hormuz. He said Iran has been notified that any ship or boat placing new mines will be “immediately and systematically destroyed.” Trump added that Space Force is monitoring every square inch of the Strait, along with Pickaxe Mountain and the three previously destroyed nuclear sites, and said a “Zero Tolerance” policy on mine placement is now in full effect. 5. Canada is responding to U.S. tariffs with new tariffs of its own. The country is raising steel tariffs to 50% from 25%, while roughly 700 products will face new tariff rates of 15%, 25%, and 50%. The measures are set to take effect on September 8, marking another escalation in the U.S.–Canada trade dispute. 6. Anthropic is expected to tell IPO investors its total addressable market exceeds $30T, topping SpaceX’s $28.5T estimate, according to WSJ. The figure represents the potential value of work Anthropic believes AI models could eventually perform, not a direct revenue forecast. Anthropic generated $11.6B in Q2 revenue and could seek to raise as much as $100B at roughly a $2T valuation. IPO documents are expected within weeks, potentially setting up a September or early October listing. 7. OpenAI’s data-center head Chris Malone left the company last week, according to WSJ. Malone joined in March 2025 shortly after Stargate was announced and played a key role overseeing OpenAI’s massive data-center buildout. He previously led data-center strategy at Meta and earlier worked on data-center technology at Google. The departure comes just weeks after OpenAI also replaced its chief revenue officer, adding another senior leadership change as the company races to scale infrastructure, revenue, and compute capacity. 8. ClickHouse has surpassed $350M in annual recurring revenue, up 40% since May, as AI agents drive demand for database and observability infrastructure. OpenAI’s usage has reportedly grown roughly 10x over the past year to more than 30 petabytes of data per day, or around 30T events daily. OpenAI has also shifted parts of its log-management workload from Datadog to ClickHouse over the past year. ClickHouse was valued at $15B in January and says gross margins currently range from 50%–70%. Earlier this year, the company acquired Langfuse to expand deeper into monitoring AI applications and agents. Nebius $NBIS owned a 28% stake in ClickHouse as of May 2025, though that stake has likely been diluted by subsequent fundraising. 9. JPMorgan reiterated its Overweight rating on SpaceX $SPCX with a $240 price target, saying the company’s AI ambitions are coming into sharper focus and that it is increasingly positive on Grok. The firm highlighted SpaceX’s completed acquisition of Cursor on 8/14 as an important step in building enterprise AI capabilities. Cursor brings roughly $4B of ARR as of June 2026, with about 75% coming from businesses, which JPMorgan says should help streamline go-to-market and provide valuable model-training data. The firm also said Cursor data is already showing up in Grok’s supplemental training, with tangible improvements in recent model performance. 10. OpenAI says its new Broadcom-built Jalapeno AI chip outperformed Nvidia $NVDA GB300 in both throughput per watt and response latency during internal testing, according to Bloomberg. The chip is built specifically for inference, not training, and runs at roughly 700 watts. OpenAI plans to begin deploying Jalapeno for its models later this year, saying the performance gap widened on larger workloads, including Moonshot’s Kimi model, and that the chip has also performed well on unreleased OpenAI models. The key caveat is that Jalapeno was tested against GB300, not Nvidia’s newer Vera Rubin generation. OpenAI says a second-generation chip is already nearing tape-out, while work on a third generation has begun. 11. The top 10 most active options today by contracts traded were $NVDA with 1.8M contracts, $TSLA with 1.8M contracts, $AAPL with 636K contracts, $SPCX with 548K contracts, $INTC with 540K contracts, $AMZN with 498K contracts, $MU with 483K contracts, $AMD with 403K contracts, $PLTR with 361K contracts, and $SOFI with 359K contracts. 12. Raymond James raised its Nvidia $NVDA price target to $352 from $330 and reiterated a Strong Buy rating. The firm says Nvidia’s CPU opportunity is becoming more important, especially for agentic AI workloads, even though CPUs are only about 3% of sales today. Raymond James expects CPU revenue to reach roughly 5% of total revenue by CY28 and believes Nvidia could potentially become the world leader in CPU revenue within several years. The firm also argued the stock remains inexpensive, trading at less than 15x CY27 GAAP earnings, below the S&P 500 at 18.6x, despite sales and net income growth still expected to exceed 20% in CY28. Its new $352 target is based on a 22x multiple on CY28 estimates, which Raymond James views as conservative given Nvidia’s leadership, CUDA moat, GPU performance, free cash flow, and history of trading at much higher multiples. WALL STREET IS THE GREATEST SHOW ON EARTH.

Today I learned that the U.S. embassy in Kyiv uses my live coverage as one of their main sources for following Russian missile strikes while they are sheltering. I'm not even kidding. Multiple separate people have told me this now.