Using Twitter as unusual flow journal. Also personal acct Politics, Psychology, Economics, Markets Event Driven Short Squeeze Trader RT are likely bookmarks

Austin
Joined March 2011
PPE retweeted
We’ve been doing this with my wife. Having people over ad hoc. Hanging at the dinner table drinking some tea or some take out. Next is to call up people and ask them if they’re around because we want to come over. This one is a bit tough, but we grew up like this with our parents and want to see if we can emulate the same thing in this day and age. I am disliking going to a restaurant and facing off and spending $$ for zero reason.
Can we PLEASE normalize just hanging out at each other’s houses again? Why does every friendship meetup need to be a whole production, a restaurant reservation, and a $150 bill? I just want to sit on your couch, drink something, and talk for hours.
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🚨 Someone built an AI that reads candlestick charts the way GPT reads English. Trained on 12 billion records from 45 exchanges. Outperforms every model by 93%. Live BTC demo. Free. It's called Kronos. The first open source foundation model built for financial markets. Not a general AI repurposed for finance. An AI that speaks the native language of candlestick patterns. Every other model treats financial data like weather data. Kronos treats financial data like financial data. Here's what it does: → Price forecasting. Feed it candlesticks. It predicts where price goes next. → Volatility prediction. Forecasts how volatile an asset will be before it happens. → Zero-shot. No fine-tuning. Works on any asset, any market, any timeframe. → 45 exchanges. Binance, NYSE, NASDAQ, LSE, and 41 more. → 4 model sizes. 4M params runs on a laptop. 499M for max accuracy. → Live demo running right now. BTC/USDT. 24-hour forecast. Updated hourly. Here's the wildest part: → 93% more accurate than the leading time series model → 87% more accurate than the best non-pretrained baseline → All zero-shot. No fine-tuning. Out of the box. Hedge funds spend millions on proprietary models. Bloomberg Terminal costs $24,000/year. This runs on your laptop. Few lines of Python. Free. Built at Tsinghua University. Accepted at AAAI 2026. Models on Hugging Face. 11.6K GitHub stars. 2.4K forks. MIT License. 100% Open Source. Get it here on GitHub: github.com/shiyu-coder/Krono… 🚨Want to learn Algorithmic Trading Strategies (that actually work)? On October 22nd, we are hosting a free workshop to help you get started with algorithmic trading with Python. Register here (630+ registered): learn.quantscience.io/join
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PPE retweeted
holy sh*t. Karpathy's second brain pattern runs on Grok Bot now: stop explaining your life to AI from zero every chat, keep a wiki that writes itself three bots in one group chat, each with its own memory: the reader takes every link, PDF and voice note you drop and never edits it the librarian rewrites every wiki page that source touches, usually 10 to 15 of them the checker wakes up on a nightly routine and hunts contradictions, stale claims and pages nothing links to → you ask a question: the answer gets filed back as a page, so the brain grows from use, not only from reading → a new source contradicts an old page: the checker tags you instead of quietly overwriting it → a page goes 30 days without a fresh source: it gets marked unconfirmed a second brain can sound sure while remembering the wrong thing Reader collects. Librarian writes. Checker doubts. every page has to show: > the claim > the source it came from > the date it was last confirmed paste this into Grok Bot: "Build me a second brain with three bots in one group chat. Keep my sources untouched in raw/, maintain wiki/ yourself, file good answers back as pages and run a nightly check for contradictions. Show me the structure first. Do not create anything until I confirm" start with one topic you actually work on, not your whole life full setup below
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Is Ben Affleck a fully vertically Integrated entertainment entity? 🤣
Ben Affleck says he orchestrated a ruthless corporate coup behind closed doors, seizing total control of Disney after a massive studio meltdown handed him millions. "And I got lucky because Miramax had been pried away from the Weinstein brothers at the time." "I guess they went on to do the Weinstein Company, but Disney had gotten rid of them." "They didn't have anybody kind of at Disney and unfortunately, I had pretty good relationships like because I always been a pretty good team player and agreeable and that sort of thing." "This guy named Dick Cook who was running Disney at the time and we had a good relationship from from Pearl Harbor, is another movie that people sort of cheered, its was supposed to be a bomb, it was actually a very successful movie." " Dick was willing to give me a chance with the because they just didn't have any Miramax movies, at the time they didn't even have any executives." "And they gave me, a low budget to make a movie and and let me do it."
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This is f*cking gold.. Chinese researchers just dropped a paper called "The End of Harness Engineering" and it reads like an obituary for LangChain. The claim: the file that organizes the model should be written by the loop that runs it, not by the person who built it. A hand-built harness is a guess with a commit message. A self-revising harness is a file that grades itself every round. The mechanics are almost boring. Execution report in, 8 edits out, score them on held-out questions, keep the winner, repeat. Frozen solver the whole time. Across 41 rounds the held-out score went from 0.31 to 0.64 and the harness never saw an editor. The human writes exactly one thing: the scoring set. Never shown to the proposer, never optimized against, used to grade every candidate. So you stop arranging calls and tools. You start deciding what counts as correct and reading the score. Harness engineering turns disposable. The scoring set turns into the job. That is exactly the loop I run and documented below: one harness.py, 300 Kimi K3 workers, 37 rewrites in 41 rounds, zero edits by hand. The whole paper in one line: grade the file, don't write it ↓
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Poppi's founders just learned the most expensive lesson in M&A! When they sold to PepsiCo, the deal was for $1.9B plus a $300M earnout (a future contingent payment based on the performance of the brand for some period after closing). And PepsiCo just announced that it is valuing that $300M at a “paltry” $12M. That stings! I've negotiated a lot of earnouts in my career. Here's what most sellers don't understand until it's too late: 1. An earnout is a future bet on a business you no longer control. After closing, the buyer sets budget, pricing, hiring, marketing, etc. Every lever behind whether or not you get your earnout belongs to someone else. 2. The incentives can flip the day you close if you’re not careful. As a seller, you want to do everything to hit the targets. But as the buyer, you pay less if they're missed. Ideally, the earnout is structured so that both parties win or lose together. If performance tanks, the buyer earns less overall so it pays less to the seller. If performance improves, the buyer earns more so it pays more to the seller. Incentives are aligned. What you absolutely cannot allow to happen is an earnout structured so that performance can improve allowing the buyer to earn more, but still pay less to the seller. How on earth could that happen? I'm so glad you asked... 3. The accounting decides the outcome. How you define "revenue", "EBITDA" or any other measurement metric used to determine the earnout is what ultimately drives the payout. So things like how corporate overhead gets allocated or what happens when the Seller’s product is folded into a larger brand with competing products becomes unbelievably important. Again, remember the incentives. With a poorly structured earnout, a company like PepsiCo could be incentivized to buy a brand like Poppi and purposely underinvest in the brand in order to eliminate a key competitor to its other products. So PepsiCo could earn more by driving more revenue to products other than Poppi, while simultaneously reducing the earnout payable to Poppi because Poppi's direct performance declines. PepsiCo wins -> Poppi loses. Sellers have to be very careful about how the accounting for the earnout is defined and whether it causes misaligned incentives. 4. The reasons above are why earnouts are among the most litigated terms in M&A. Sellers often sue buyers claiming the buyer sandbagged performance. And Buyers defend by saying “The contract gave us full discretion." Courts will generally enforce whatever terms the parties agreed to in writing, so an argument that Buyer acted in “bad faith" rarely saves a seller who didn't negotiate adequate protections. 5. If you agree to an earnout, protect it at all costs! > Tie it to metrics like revenue, which are subject to less manipulation than metrics like Adjusted EBITDA. > Include strict operating covenants around things like required budget, sales support, and no diverting customers to other products or business lines. > Push for audit rights and a dispute mechanism. > Demand acceleration of the earnout if the buyer or product line is sold, merged, shut down, or deprioritized. > Keep the measurement period short! The longer the period, the more opportunity it gives a Buyer to game the system. To be transparent, I don’t have any background into what happened here. I have no idea if the earnout was poorly structured or if PepsiCo acted in a way to purposely reduce the earnout. That's not the point of this post. What I do know is that a $300M earnout that is written down to $12M is a tale as old as time and almost certainly to end up in litigation. And even if not the case in this particular instance, in most cases where this happens, there's often things that could have been done in the transaction documents to avoid it. My advice to every seller I represent who is considering agreeing to an earnout is simple: Value the deal based on cash at close and treat the earnout as a bonus. If you get it, great. But don’t count on it!
Pepsi paid $2bn for Poppi and now says it won't pay the $300m earnout. Everyone's acting surprised. What happens when a giant buys a challenger brand, with the receipts: - Honest Tea, Odwalla, Zico: all bought by Coke, all discontinued. Zico's founder bought it back. - Bai: Dr Pepper paid $1.7bn, wrote most of it down. - Bodyarmor: Coke paid $5.6bn, took a $760m impairment three years later. - Rockstar: Pepsi paid $3.85bn, has lost share every year since. - Freshly: Nestlé paid $1.5bn, shut it within three years. - Dollar Shave Club: Unilever paid $1bn, sold it for a fraction seven years later. - Bonobos: Walmart paid $310m, sold for $75m. - Mirror: Lululemon paid $500m, wrote it off and shut it. - Ballast Point: Constellation paid $1bn, sold for pocket change four years on. - Reebok: Adidas paid $3.8bn, sold for $2.5bn fifteen years later. - Snapple: Quaker paid $1.7bn in 1994, sold for $300m in 1997. The original. The pattern isn't bad luck. The brand was bought to protect the original and core portfolio, not to grow. Once it's off the market, the job is done. If you ever sell to one of these: the cash on day one is the price. Everything else is a promise from someone who is incentivized is not to keep it.
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I Implemented @karpathy's LLM knowledge base for stock research back in April. Six months later, I still use it every day. Here is how I have implemented it for stocks, and why it's a great fit: treasure-hunting.co/p/how-i-…
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The only reason we still have a functioning modern society is because when the barbarians show up at the gates we have brave people willing to stand up to them and say “Hey this is making me feel very uncomfortable. Can you please not do that. Or else I’ll have to report you to HR” 🤣
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To succeed in the game of power, you have to master your emotions. But even if you succeed in gaining such self-control, you can never control the temperamental dispositions of those around you. And this presents a great danger.
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Perhaps that is the fundamental issue here. He just swatted her hand away from his body and is being seen as "laying hands" on her like he punched her in the face
No Jason, she’s doing her job. I appreciate his concern but he needs to stay the hell out of the way and NEVER, EVER lay his hands on a medical staff member! ESPECIALLY a female!
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Wait.... so she shoved him away first. He then knocked her arm away, and now its considered assault? What was he supposed to do? Just get shoved around and not react just because he's a guy and she's a girl? Like if he shoved her back, fine. But he literally just knocked her arm away coz she (literally) had hands on him Feel like this is an overreaction from everyone
Duke HC Manny Diaz has announced that junior defensive back Kimari Robinson has been suspended from the team indefinitely for assaulting a team medical staffer. Via @PeteNokos
Readers added context they thought people might want to know
Duke and coach Manny Diaz have made no announcement suspending Kimari Robinson. The post cites known parody accounts and refers to a viral clip of an on-field swat at a trainer during the Duke-UNC game; no discipline has been confirmed. marca.com/en/ncaa/2026/1… usatoday.com/story/sports/n… profootballnetwork.com/cfb/duke-kimar…
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Mutual respect seems to be a male only concept, so let me explain it to you. It is founded on a simple principle: the boundaries we expect others to respect are the same boundaries we are obligated to respect ourselves. Men generally understand this intuitively. You do not casually shove another man aside or presume that your personal importance entitles you to disregard his dignity. It is generally understood that a violation of this principal is a provocation to violence, precisely because it violates the principle of mutual respect. Here, a woman shoves a man aside like his his personal boundaries are beneath her consideration. When he responds by shoving her back, the people lose their fucking minds. But what, exactly, is the problem? That he violated her boundaries? She had already violated his! That he failed to show her respect? She did the same thing! Women do not respect this simple principle of mutual respect, which in a truly egalitarian world should clearly be binding to everyone. Instead whenever a women is involved we are suddenly expected to apply a different standard. What do you want? Do you want equality between men and women? Because what it seems you really want is the relationship between a medieval aristocrat and a peasant.
We're not talking enough about THIS moment from the #Duke football game immediately after he struck her She is AFRAID of him after the first hit and is now watching his face and keeping her arm up to attempt to protect herself from another blow from Kimari Robinson
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I went on @BBCNewsnight and enraged all the usual radical-left loons stating these simple facts: ~1.85m foreign nationals claim £23 billion in welfare each year in Britain ~ 1.3m foreign nationals claim £11.9billion of Universal Credit Britain must put the British people first **Britains tax burden is the highest it’s been since the War (1948 to be exact)** If you want to lift people up, you have to create wealth. You have to incentivise work. Which means tax them less. Anyone who runs a business knows this. Since then, far-left X has launched a series of ad-hominem attacks. Some even saying these ideas are “extreme far-right” None of them have addressed the substance of my arguments. Instead they are trying to shame me for being in one of the most successful bands of last 20 years, whilst ignoring that I have one of the biggest independent politics podcasts in Britain. And ignoring that I’ve generated 10s of £millions in wealth and taxes for the economy, created 1000s of jobs, and built several successful companies. Likewise they think that I might be anything but immensely proud to be associated with my own dad, one of the most successful businessmen and generous individuals this country has produced since the War, and his association with GB News, officially the most viewed and trusted news channel in the country. He’s a hero. Thanks to Newsnight for having me!
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Where immigrants go (1860-2026) Would not surprise me if we see a repeat of 1880-1920 soon.
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The current cultural gender wars actually remind me most of “animal farm”. Which is kinda interesting
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I wrote a story about how basically every man I know in my station of life — millennial, in a long term relationship, in possession of a fake email job — does all the cooking in their relationship, which is something I have a lot of theories about.
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People around you, constantly under the pull of their emotions, change their ideas by the day or by the hour, depending on their mood. You must never assume that what people say or do in a particular moment is a statement of their permanent desires.
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This might be the funniest commercial I've seen in a very long time. Its for the jewelry section of JC Penny's and it is priceless. They really sunk some money into it. I guess they do good sales there. I know that im buying my very special lady's ring at a better known jewelry store than JC's 🤣🤣🤣💍
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Give your agent a way to verify its work. This can dramatically improve the quality of output. With this process in place, Claude Code was able to write 90%+ of its code itself. When generating software at a faster rate than you can review it, the bottleneck shifts to proving that it works. @bcherny and team invested enough in verification, we've been able to move fast while maintaining stability. Code reviews aren't going away, but you need to think of it differently. One human reading through line-by-line is no longer going to work as a gate, it needs to evolve into a multi-layered verification system, built with fast deterministic feedback loops for your agents. This is where e2e tests, feature maps (as @poteto has been advocating), property tests and multi-agent adversarial reviews come in. These all provide opportunities to catch errors early and fix them before things get out of hand. You don't have enough eyeballs for the amount of code being written so your focus needs to be on product intent, risk assessment and evaluating evidence rather than reviewing code. Delegate the code checking work to your automated tests, scale your approvals based on risk, and turn your test failures into living evaluations. This approach helps maintain speed without losing reliability. Let the agents do what they do best and let you focus on what makes you irreplaceable: judgement, direction, and ownership. We tried to capture how we handle code review and verification in this writeup. Hopefully it's helpful.
Claude writes about 90% of Claude Code's code. From June to September, merged PRs more than doubled while the share reverted fell by more than 40%. We wrote about how we changed code review to get there, and how to adopt it: claude.dev/blog/solving-code…
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