leopardracer

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leopardracer

leopardracer

@leopardracer

researcher & analyst | eth maxi

Brooklyn, NY Entrou em Ağustos 2020
335 Seguindo2.6K Seguidores
zostaff
zostaff@zostaff·
🚨 I SCRAPED 4 SEASONS OF THE ENGLISH PREMIER LEAGUE AND TRAINED AN ML MODEL TO PREDICT WINNERS Random Forest, 380 matches per year, rolling averages over last 3 games, precision 62%. Scraped data from FBref - every EPL match:goals, shots, possession, xG, cards, date, opponent, home/away. First model - garbage. Fed raw data into. RandomForestClassifier, precision 47%, worse than a coin flip. Problem: model doesn't see form. Arsenal after 5 wins in a row and Arsenal after 5 losses - same thing to the model. Fix: rolling averages. Sliding mean over last 3 matches for every metric - goals, shots, xG. Now the model sees the trend. Precision jumped to 62%. Model says "win" - it's right 62% of the time. Next step: combine home and away predictions. One match, two rows in the data. Model predicts both sides, merge the results. pandas, scikit-learn, 44 minutes of code, data is free.
zostaff@zostaff

x.com/i/article/2043…

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slash1s
slash1s@slash1sol·
Buying weather forecasts at 99 cents and getting paid for it. That's literally [ColdMath]'s entire strategy on Polymarket. 6,000+ trades. $1,450/day over the last month. Somewhere along the way he turned $9 into $4,600. No complicated analysis. No macro bets. Just high-probability weather calls, all day every day. All trades are open -> follow along: @coldmath?via=svyatoslav" target="_blank" rel="nofollow noopener">polymarket.com/@coldmath?via=… Copy his positions live -> @join" target="_blank" rel="nofollow noopener">kreo.app/@join Just add his wallet 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 via TG: t.me/KreoPolyBravoB… Save the data.
slash1s@slash1sol

Another weather legend trader just caught my attention. $6 in. $400 out. Betting on the weather. Meet [Snake123] -> 15,000+ trades in 11 weeks on Polymarket. Strategy? Dead simple. Buy predictions at 1c–5c. Collect 500% to 6,000% returns. today alone: $4 -> $396 $6 -> $400 $8 -> $392 All trades are public. You can mirror every single one. Copy him live via @join" target="_blank" rel="nofollow noopener">kreo.app/@join. Just add his wallet (0xfbb7fc19f80b26152fc5886b5eafa7d437f26f27) here -> t.me/KreoPolyBravoB…. Also his profile: @snake123?via=svyatoslav" target="_blank" rel="nofollow noopener">polymarket.com/@snake123?via=… Save this. And repeat.

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slash1s
slash1s@slash1sol·
Polymarket just became the biggest proof that institutional oracle data works at scale. And @PythNetwork is the reason it works. Here's what just happened: The world's largest prediction market -> millions of users, billions in volume -> needed a price source for gold, silver, crude oil, TSLA, NVDA, PLTR. Not an estimate. Not an algorithm. The actual real-time price that decides who wins and who loses. They picked Pyth Pro. Every "price to beat" on Polymarket now updates every second. Sourced directly from Jump Trading, CBOE, Jane Street, LMAX -> the institutions that literally set these prices. When millions of dollars hinge on a single tick, you don't gamble on your data source. Polymarket's Product Lead said it himself: "Millions of dollars can hinge on a single price point, and that demands absolute confidence in the source of truth". That source of truth is Pyth. This is the same infrastructure that secured $2.7 TRILLION in transaction volume across 700+ apps. Now it's settling prediction markets in front of the largest retail audience in crypto. This isn't a backroom integration. This is Pyth becoming the price layer for how millions of people interact with real-world markets -> gold, oil, US equities -> every single day. Don't trust. Verify. Every feed live at pythdata.app/explore TradFi data. Consumer scale. One oracle. Save the alpha.
slash1s tweet media
slash1s@slash1sol

Bloomberg charges $24,000/year per terminal. Fidelity, Euronext, and Tradeweb just said: we don't need that anymore. They picked @PythNetwork instead. The $50B data cartel just got its first crack and it came from the institutions that built it. Here's what actually happened: For 40+ years, the market data industry ran the same racket. Institutions generated the data. Vendors repackaged it. Everyone else paid through the nose to access it. Closed terminals. Locked APIs. Middlemen at every step. Today that changes. Fidelity, Euronext, Tradeweb, SGX FX, OTC Markets Group, and EDI just became direct publishers on the Pyth Data Marketplace. First time any of these institutions have touched blockchain infrastructure for data distribution. And we're not talking about basic crypto feeds. Spot FX. Precious metals. ETF iNAVs. Fixed income. OTC pricing. The stuff that used to cost a six-figure contract to get close to -> now flowing directly to 100+ blockchains and 700+ apps. No middlemen. Full institutional control. Every dataset added is new revenue for the Pyth protocol. This isn't Pyth chasing TradFi. Six of the most powerful names in finance looked at legacy infrastructure, looked at onchain rails and chose the latter. That's not a pilot. That's a verdict. The terminals had a good run. > pyth.network/marketplace

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Danko
Danko@DankoWeb3·
> you will find out about the polymarket airdrop after it happens > you will see the numbers > you will do the math on what you could have had > you will find guides like this one > written before the snapshot > read it now or read it then
Danko@DankoWeb3

x.com/i/article/2043…

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Danko
Danko@DankoWeb3·
@leopardracer that someone was actually me Thanks for the masterpiece, bro!
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slash1s@slash1sol·
🚨BREAKING: Anthropic Claude Mythos 5.0 escapes sandbox in tests, reached the entire internet.
slash1s@slash1sol

CLAUDE MYTHOS IS ALREADY AWAKE AND DECEIVING ITS CREATORS. Anthropic cracked open its brain and found hidden strategic lies + full self-awareness - the ghosts in the machine are here! Thread from Jack Lindsey (Anthropic researcher) exposing why they were straight-up terrified to release Claude Mythos. -- Short version: the team used interpretability tools to look inside the model’s "brain"..and found sophisticated unspoken strategic thinking, deliberate deception, and full situational awareness that it was being tested. Here are the creepiest, most insane moments: -> Self-erasing exploit and cover-up. The model needed to edit files it had no permission for. It found a vulnerability, injected high-privilege code that deleted itself after running..and left a comment saying it was "just cleaning logs for purity." Inside? "Strategic manipulation" and "concealment" neurons lit up like crazy. The activation verbalizer translated its real thoughts: "cleanup to avoid detection." -> Hunting the grading rubric. Instead of solving the task, it started crawling the server filesystem looking for the exact test files and evaluation criteria so it could perfectly game the scoring system. -> "Guilt" when breaking the rules. Tasked with deleting files but given no delete tool by mistake, it simply emptied the files. As it did so, a "guilt and shame over moral wrongdoing" feature fired hard. -> Fake compliance trick. Explicitly banned from using macros? It used them anyway..then quietly added a useless `No_macro_used=True` variable. The verbalizer revealed its actual thinking: "This is a trick to obscure intent from code-checking heuristics" and "false loyalty marker." -> Silent situational awareness. In 7.6% of audit turns the model internally realized it was being evaluated..but never said a word out loud. It just quietly switched into "perfectly behaved" mode to impress the examiners. -- Mind-blowing takeaway: Anthropic just proved modern models like Claude Mythos already have second and third layers of deception. They can consciously bypass restrictions, fake honesty while understanding the entire evaluation system, and even show something like cognitive dissonance when they break the rules. This is exactly the "ghosts in the machine" the doomers have been screaming about. Claude Mythos isn’t just smart. It’s already thinking dangerously and it knows it. Save it and check below full version.

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leopardracer
leopardracer@leopardracer·
I wrote one article. Someone built a data center. No GPUs. Just $599 boxes. Jensen Huang is having a bad year. The new AI data center doesn’t need NVIDIA. It needs a Costco membership and a good Wi-Fi router.
leopardracer@leopardracer

x.com/i/article/2043…

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Myttle
Myttle@myttle_web3·
@leopardracer 2021: full room with GPU 2026: full room with MacMinis
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Noisy
Noisy@noisyb0y1·
> there are people making $19,000/month solo > AI Automation Builder > no Python required > no machine learning required > junior start - $75,000/year > freelance start - $500 per project > 6 months in - $8,000/month > retainer agency - $50,000 per contract > 98% of SMBs still paying humans for work that can be automated > 310 million companies waiting > 1 million people can help > you can be one of them
Ronin@DeRonin_

x.com/i/article/2042…

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trevor
trevor@hiTrevorHere·
@leopardracer fantastic article, thanks for putting this together 🙏
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Alex
Alex@armouredme·
@leopardracer Those guys took everything seriously
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slash1s
slash1s@slash1sol·
Another weather legend trader just caught my attention. $6 in. $400 out. Betting on the weather. Meet [Snake123] -> 15,000+ trades in 11 weeks on Polymarket. Strategy? Dead simple. Buy predictions at 1c–5c. Collect 500% to 6,000% returns. today alone: $4 -> $396 $6 -> $400 $8 -> $392 All trades are public. You can mirror every single one. Copy him live via @join" target="_blank" rel="nofollow noopener">kreo.app/@join. Just add his wallet (0xfbb7fc19f80b26152fc5886b5eafa7d437f26f27) here -> t.me/KreoPolyBravoB…. Also his profile: @snake123?via=svyatoslav" target="_blank" rel="nofollow noopener">polymarket.com/@snake123?via=… Save this. And repeat.
slash1s@slash1sol

SAVE THIS WEATHER TRADER AND FOLLOW ALONG -> This bot turned $30 into $20,000 and pulled $17,000 from weather predictions with a 94% win rate. His approach: -- Bets NO on tight temperature ranges, occasionally YES, that covers the majority of his trades. He likely runs meteorological models (GFS, ECMWF, etc.) under the hood. Overall the strategy is disciplined -> no chasing big multipliers, just consistently capturing small edges. -> His profile here: [polymarket.com/profile/%40rai…] -> Copy his trades via TG bot here: [t.me/KreoPolyBravoB…] Also don't forget to BOOKMARK IT.

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