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@planert41

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

Austin Katılım Mart 2011
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PPE
PPE@planert41·
Just officially signed up with @unusual_whales as an affiliate. What that really means is that I get a small cut if you sign up for UW using the code below, which is an upgrade from the previous 5% discount. I use UW everyday to research unusual flow. All the screenshots you see are from UW. So if you've found my content helpful and are thinking about signing up with UW, please consider using the code below 🙏
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Jake Kozloski 🇺🇸
Jake Kozloski 🇺🇸@jakozloski·
Of unhappily married people who stayed together, two-thirds called the same marriage happy five years later. Of the very unhappy who stayed, nearly 8 in 10. Divorced individuals were no happier. Most rough patches are just patches. The rational move is usually to push through. Study: healthymarriageinfo.org/wp-content/upl…
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Sean Cranston
Sean Cranston@themoviedadsc·
If you can obtain: > Marriage to a person you love (with frequent sex) > Couple kids > Couple close friends > Job to cover living + some savings > In shape with a consistent workout routine > 1-2 hobbies you engage in weekly Then you've pretty much hit peak human existence.
Cernovich@Cernovich

Frequent sex is a monogamous relationship would boost "happiness" (fake term) way more than 50K. It's pretty much priceless. A billionaire in a sexless marriage is living a terrible life. Having a great wife would more than 10x his "happiness."

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Daniel Friedman
Daniel Friedman@DanFriedman81·
People are going to vilify this guy, but he was in a position where rapid technological change was transforming his workplace and he was at risk of losing his job. He had to quickly develop a new set of skills to make himself indispensable in the business his company was transforming into, and he did it successfully. He preserved his career and the lifestyle his family is accustomed to. And his wife will hold it against him forever.
Alec MacGillis@AlecMacGillis

This is pretty bleak.

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PPE
PPE@planert41·
Feels like there’s an underutilized marketing opportunity between Chick Fila and the CFA institute 😂
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Colossus
Colossus@colossusmag·
In 2018, Sarah Guo became the youngest general partner in Greylock's 60-year history. She was 28. Four years later, she quit to launch Conviction, a firm staked entirely on AI. Before ChatGPT shipped, she seeded Baseten and Harvey; each is now worth over $11 billion. In Conviction's first year, she wrote early checks into Sierra, Cognition, and Mistral; those three companies are now worth, together, $54 billion. Andrej Karpathy worked out of Conviction's office until Anthropic hired him in May. Guo has been close to Jensen Huang for over a decade. Her first two calls after starting the firm were to Sam Altman and Nat Friedman. And yet the investor closest to the AI frontier is betting against its biggest companies. The two big frontier labs, worth close to a trillion dollars apiece, no longer just want to build the models. They also want to build every product and company on top of them, leaving nothing for anyone else. The market is paying as though they might succeed. Of the $300 billion in venture capital deployed in the first quarter of 2026, the biggest quarter in the history of the trade, 65% went to only four companies: Anthropic, OpenAI, xAI, and Waymo. Guo is betting the labs can't build everything, and she spends her days making sure of it. She won Harvey its first client. She flew across the country to take a single Baseten candidate to a four-hour lunch. On one wedding anniversary, she spent the whole weekend on back-to-back calls, keeping two founders on the line so they couldn't speak to rival firms. Twice a year, she flies the world's brightest young founders to San Francisco and inducts them into the fight. In the months @domcooke spent reporting this piece, @saranormous had her fourth child, walked the Met Gala in 45 pounds of chainmail, and still answered her founders' texts within minutes. Guo's parents arrived from China in 1987 with $50, built a company, and took it public at $1.2 billion. Then it went bankrupt. Guo grew up inside that startup. She built its first website, did her homework in a cubicle, and slept over for bug bashes. She loved it. If two labs build everything, no one gets to do that again. Welcome to Sarah's Wager. Read it below.
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Alec MacGillis
Alec MacGillis@AlecMacGillis·
This is pretty bleak.
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orph
orph@orphcorp·
this framing of some ADHD presentations as energetic dysregulation tracks with several things we are anecdotally or correlatively seeing re: mitochondrial, metabolic, and inflammatory function in adhd individuals the proposed cycle is ~ energetic strain -> compensatory stimulation or effort -> temporary stability -> greater cumulative cost -> performance collapse "Within EDHD, executive processes are metabolically contingent and state-dependent, particularly vulnerable within prefrontal networks, while hyperactivity, impulsiveness, and attentional variability are conceptualized as transient, probabilistic compensatory responses to energetic strain rather than primary pathology"
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PPE@planert41·
Woah this is actually super sick. Respect
Vaibhav Sisinty@VaibhavSisinty

Netflix just paid $587 million in cash for Ben Affleck's AI startup. 16 people. Built in stealth since 2022. Here's what it actually does. It's called InterPositive. And it's not what most people think when they hear "AI in Hollywood." → It doesn't generate new footage from text prompts. It trains a custom AI model on a specific film's own raw footage the lighting, lenses, camera angles, color, style. Then it helps fix and enhance that footage in post-production. → Relighting shots. Fixing continuity errors. Removing wires. Replacing backgrounds. Color grading. All while matching the exact visual language of the film it was trained on. → Each project gets its own model. No training on internet data. No training on other studios' footage. No copyright issues. No deepfake risks. → Affleck built it because existing AI tools didn't understand how real films are made. They didn't respect lenses, light behavior, or editorial consistency. InterPositive does. → Netflix says it's already been used across roughly 300 titles this year. One documentary was produced twice as fast at half the cost. → $587 million for 16 people and a patent that teaches AI to understand focal length, camera movement, depth of field, and parallax. A filmmaker built an AI tool for filmmakers. And the biggest streaming company on earth just bet half a billion dollars in cash that this is how Hollywood adopts AI not by replacing creators, but by giving them better tools.

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Suraj Sharma
Suraj Sharma@suraj_sharma14·
If you can build these 12 Agentic AI projects. You're hired. Project 1: Structured Output Agent Enforce Pydantic JSON schemas, validate tool responses, retry on parse errors, log validation failures. → Shows: You can make LLMs reliable not random Project 2: RAG Agent with Citation Grounding Retrieve context, generate answers with sources, flag low-confidence responses, fallback to search. → Shows: You can prevent hallucinations at scale Project 3: ReAct Planning Agent Observe → think → act → reflect loop, max iteration limits, self-critique, graceful degradation. → Shows: You can build agents that don't infinite loop Project 4: Multi-Tool Orchestrator Agent Dynamic tool registry, capability-based routing, permission scoping, parallel execution, conflict resolution. → Shows: You can coordinate complex workflows Project 5: Memory-Enabled Conversational Agent Short-term buffer + long-term vector recall, context compression, relevance scoring, cross-session sync. → Shows: You can build agents that remember users Project 6: Human-in-the-Loop Approval Agent Uncertainty detection → pause → request human input → resume with validated context, full audit trail. → Shows: You can build safe, compliant systems Project 7: Cost-Aware Agent Router Token budgeting per task, model routing by complexity/cost, early exit on confidence, cost-per-decision analytics. → Shows: You can reduce infra costs by 40-60% Project 8: Event-Triggered Automation Agent Listen to webhooks/queues, execute workflows on triggers, idempotent execution, dead-letter handling, retry logic. → Shows: You can build production automation not demos Project 9: Multi-Agent Debate System Multiple agents propose solutions, critic evaluates, voting/consensus logic, aggregator synthesizes with confidence. → Shows: You can orchestrate swarms not single agents Project 10: Self-Reflective Agent with Auto-Eval Execute → evaluate via LLM-as-judge → critique reasoning → regenerate with constraints, log improvement metrics. → Shows: You can build systems that improve over time Project 11: Production Agent with Observability Deploy with LangSmith/Arize tracing, latency/cost dashboards, alerting on loops/failures, canary testing, rollback. → Shows: You can ship to production not just localhost Project 12: Open Source Agent Framework Contribution Extend LangGraph/CrewAI/AutoGen with new pattern, write docs + demo, publish benchmarks, submit PR + tutorial. → Shows: You're a community builder not just a consumer (Bookmark this) happy building...
Suraj Sharma@suraj_sharma14

If I had 6 months to become an Agentic AI Engineer. I'd do this. Stage 1: Python + Async Foundations asyncio, FastAPI, event-driven architecture, error handling, API integration patterns. Stage 2: LLM Fundamentals for Agents Context management, model routing, token economics, latency tradeoffs, failure modes. Stage 3: Tool Calling + Structured Outputs Pydantic validation, function calling schemas, error recovery, dynamic tool discovery. Stage 4: Memory + State Management Short-term buffers, long-term vector recall, context compression, cross-session sync. Stage 5: Single Agent Workflows ReAct loops, plan-and-execute, self-reflection, iteration limits, graceful degradation. Stage 6: Multi-Agent Orchestration LangGraph/CrewAI, supervisor patterns, message passing, conflict resolution, handoffs. Stage 7: Human-in-the-Loop Systems Uncertainty detection, approval gates, audit trails, resume logic, intervention points. Stage 8: Evaluation + Quality Assurance Automated eval harnesses, LLM-as-a-judge, regression testing, hallucination metrics. Stage 9: Observability + Tracing Distributed tracing (LangSmith/Arize), cost dashboards, latency monitoring, alerting. Stage 10: Security + Guardrails Prompt injection defense, output filtering, PII redaction, sandboxed execution, compliance. Stage 11: Production Deployment vLLM/SGLang, Kubernetes scaling, CI/CD for agents, canary releases, rollback strategies. Stage 12: Open Source + Portfolio Ship autonomous agents publicly, write architecture docs, record demos, contribute to libs. Most people stay stuck watching tutorials. Builders get hired. (Bookmark it)

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Tanner Guzy
Tanner Guzy@tannerguzy·
There’s a lady on TikTok whose whole account is showing you how little time it takes to clean up that mess, send that email, or close those little open loops and it’s the most wholesome and effective psyop I’ve ever been exposed to.
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John Ʌ Konrad V
John Ʌ Konrad V@johnkonrad·
One story that sums up growing up with exceptionally high IQ parents who had no money was the notebook in the car. Every time we drove, my mom wrote down gas prices at every station we passed and, at each fill-up, she logged the mileage. My dad went home and did the math. He figured out that one station’s cheaper gas wasn’t actually cheaper if you had to drive an extra mile uphill to reach it. It saved money in my mom’s lightweight VW Rabbit, but cost more in the family’s heavy station wagon. It became an issue at one point because mom would refuse to bring a jerry can to bring him back gas and got angry when he siphoned hers. For years we never had enough cash for a full fill up. If Mom would wanted to drive somewhere out of town, dad would pick up the calculator and tell her how far she could get on the $5 she had in her wallet. That’s what growing up poor with high-IQ parents with no money looked like: every penny of gas had to survive the spreadsheet. Later when they had a little more money mom got a diesel and they would switch cars based on the price arbitrage that week.
John Ʌ Konrad V@johnkonrad

I grew up poor, raised by a man with an Ivy League degree. 3 luxuries matter: Home-cooked meals. A car that starts every time you turn the key. Two weeks of vacation each year. Everything else is BE. And yes, I said luxuries. We ate at one reasonably priced restaurant maybe six times a year. I didn’t even taste sushi until I was in college. Even those luxuries were limited. Every meal was made with store-brand groceries. The cars were reliable used cars. Ask AI for “the most reliable used car with the lowest resale value.” Vacations = free museums, state parks, beaches, battlefields, and camping. No Disney. Hershey or Six Flags maybe once a year. The essentials? Clothes: Salvation Army. Honestly, this one sucked, but today Walmart & Target make it easier. Fixer-upper: I’m talking serious problems. You need a solid foundation, walls & a roof. Everything else can be fixed with Harbor Freight tools, YouTube, and sweat equity. We literally bought an abandoned house in a good neighborhood. I live in rural Massachusetts. My neighborhood has $1 million homes. I bought an abandoned house and restored it, but just outside my neighborhood there are still homes for $300,000. Medical: Before settling down, one of you should get a government job with benefits or join the military before having kids. Time: This is the hardest part. My dad was a firefighter, so he’d work double shifts, then spend his days off repairing the house. Activities: Boy Scouts, Civil Air Patrol, church choir, church camp, etc. Sign your kids up for free or cheap activities. Education: Teach your kids everything you know. Read to them for an hour every night. DAD INTEL: This is the big one. Build a network. Know where to get discounted building materials, who has tools, who’ll loan you a trailer or skid steer. Firefighters, cops, National Guard members, tradesmen & church communities have always been great for this, but those networks are disappearing. Family: Live within three hours of relatives if you can. Someday you’ll need emergency babysitting or another guy to help lift something heavy. What to avoid like the plague: NO COSTCO: Unless you’re extremely disciplined, you’ll buy more than you need. NO HOME DEPOT: Lumber isn’t always the best value, tools are overpriced, and those marble countertops start looking “necessary.” Formica from a local building supply works just fine. NO FLIGHTS. We won a trip to London when I was five. It nearly bankrupted us. No flights anywhere. Fast food. This was my dad’s biggest weakness because it was cheap and easy. Again: NO RESTAURANTS. They add up fast, and you’re paying for convenience more than nutrition. No drinking or drugs. Bad decisions usually start with small compromises. No expensive hobbies. Your hobby is fixing the house, improving the yard, and coaching your kid’s Little League team. Fish from shore if you want a hobby. Dig for worms. You don’t need $15 lures. No subscriptions. You don’t need Netflix. I have plenty of money now and didn’t even own a TV until recently. You don’t need home security cameras if you own an inexpensive firearm. You don’t need Uber or constant Amazon deliveries. Now the big one: You’ll feel like shit. You’ll think you’ve failed as a dad. You’ll envy the families with nicer houses, newer cars, and bigger vacations. Don’t. This is not a competition. Your job is to be a great father, love your wife, raise capable kids, and become a productive member of society. The antidote is gratitude. Go to church. Every Sunday, thank God for what you have. Gratitude is critical. It also helps if your work serves the public: firefighter, police officer, teacher, construction worker, sanitation worker, military. Mental health problems? Start with the basics. Stay physically active, journal for 30 minutes a day & pray a full rosary. “But John, that’s extreme.” Maybe. But you’ll still be better off than 80% of Europoors.

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Ben Pouladian
Ben Pouladian@benitoz·
Wall Street: Cheap Chinese models kill NVIDIA. Kimi 48 hours later: Subscriptions paused. GPUs maxed. Adding capacity as fast as possible. That’s Jevons Paradox with a CUDA bill. Cheaper intelligence doesn’t reduce compute demand. It detonates it.
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Prompter
Prompter@PromptLLM·
This is how Fable 5 would cure ADHD
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PPE@planert41·
@LostitNft Oh def. Still tipped. Almost feel bad but it was kinda a pricey meal. Or else prob would have just let it go
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I like who I am on Tw1tter.
@planert41 Still tip him, Uber Eats fares are atrocious, he's doing his best to max his earnings and make ends meet. Mistakes happen. A small $1 tip does make a huge psychological difference. He'll know he messed up when he goes to deliver the other order. BUT he'll remember you tipped.
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PPE@planert41·
Fk the one time I’m not at the door grabbing my uber eats delivery the guy drops off someone else’s order ☠️
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Wanja
Wanja@Johanne49113367·
@planert41 wtf so everything is open on sunday in usa?
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Heart
Heart@heart_·
“mass tourism” is simply a result of female intrasexual competition girls go in groups or drag boyfriends to instagram locations to take pictures so they can post and compete with other females for having the best uterus or attract the best males men would be happy on any random beach in turkey with their bros and they post one picture a year on their socials
3Cat@som3cat

🎬A Grècia, les illes del mar Egeu estan a punt del col·lapse. El turisme de masses està provocant greus conseqüències a nivell ambiental, econòmic i social #GrèciaAlLímit3Cat #30minuts3Cat ◾️"Grècia, illes al límit", disponible a la plataforma 3Cat ▶️3cat.cat/3cat/grecia-il…

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