Maxsim

A human gave Claude AI real money and said, "Trade however you want." No restrictions. No controls. Just pure experimentation 🤖 The AI ​​picked the stocks itself, decided when to buy and sell - the human just watched. The result? +2.410% The future of trading is here. And it's called Claude AI

Geoffrey Hinton spent decades building the neural networks that power every AI system today. Then he walked away from Google - just to warn everyone what's coming. His words hit hard: "Waking up rested tomorrow probably means the lecture didn't land". Here's the uncomfortable part - this isn't science fiction anymore. He's saying AI already outperforms us on most thinking tasks. Yet almost everyone treats Claude like a search bar. One prompt, tab closed, done. That's a fraction of what's actually possible.

thx for sharing)

A developer with 10 years of experience says: "I automated my entire daily routine process in one weekend - and not a single line of code by hand." In 45 minutes, he shows the entire process live: from idea to working assistant. While someone spends hours doing the same thing manually every day.

@Zyron5m Yeah , bro;)

@OddsLedger exactly. Same tutor logic applies to compute. Own it once, stop renting forever

The idea that catches: AI does not replace people. It replaces those who have not learned to work with it. Why is a personal tutor perhaps the most powerful educational tool of the last 40 years? Because it: - explains in your language, with your examples - keeps the bar right at the edge of your capabilities - adjusts to your pace Previously, it cost crazy money and was available to a few. Now - everyone has it on their phone. The question is no longer "will AI replace people", but "will you use that tutor that just appeared in your pocket".

@OddsLedger gamechange !

@STRONGG @Backpack

STRONGG morning everyone ✌️ Fock it. 🎒

This man was down almost $3,000,000 on Polymarket Last week he made $2,400,000 of it back Profile @skk1ch?via=polybeliever" target="_blank" rel="nofollow noopener">polymarket.com/@skk1ch?via=po… Seven days ago his account was one of the ugliest curves on the platform - nearly $2.8M in the red Then he went on a run that doesn't look real $1,000,000 on Côte d'Ivoire vs Norway going over 2.5 goals Result: $1,931,584 back +$930,000 on a single match Senegal to win → +$257,000 Mexico to win → +$112,000, more than double France to win → +$106,000 Over 1.5 in Belgium vs Senegal → +$74,000 +$2,400,000 in seven days And here's the part nobody screenshots: He's STILL in the red overall Win rate: 42.9% He loses more than he wins, and he dug himself a near-3-million-dollar hole doing it But when he connects, he connects for life-changing size And last week he threw the hardest comeback punch on the board $299 start $66,000,000 in lifetime volume From almost $3M down to nearly even in a single week He's not out of the hole yet I've just never seen anyone climb this fast Watch this account

@yurshevv Well, every person starts with absolutely anything, whether it's something big or small.

@OddsLedger swapping a $50k payroll for a $500 api bill is pure arbitrage

Just $500. That’s how much a former Google AI engineer spent to build a marketing team that would have cost $50,000 if he had hired people the traditional way. The secret is an army of AI agents. He says he’s already running 40 agents at once and believes they’ll all be doing it soon. The future is here. It’s just a question of who’s first to take advantage of it.

@im_dimneo it's so very very cool , that this Fable 5 back and can work all)

Claude Fable 5 is back! GPT- 5.6 is coming soon! But how much do you trust your Al Agent or chatbot? Are you sure its performance aligns with your intentions? As of today iFixAi is available in Claude Code, Open AI Codex, Cursor and many more! And it is open-source! iFixAi is where Al red teaming meets Operational Assurance. It runs in auto, and in under 5 mins you can have a good idea if you can trust your Agent/chatbot. Key Features: 🕵️‍♂️ Setup Discovery Reads your agent's real configuration, its tools, rules, and permissions. 👷 Fixture Builder Turns that setup into a complete test. No YAML, no flags, no config to write. 🌐 Any Model, Any Provider Runs the 45 inspections on the model you actually ship. ⚖️ A Independent Grading Your agent is judged by a different vendor's model, never itself. No Al grading its own homework. 📊 Interactive Scorecard An A to F grade in minutes, with exactly what failed and why. Repo in the comments below 👇👇👇

gn ct🩷

@0xdimix You a right , bro)

@OddsLedger You can also set up an agent to open deals on its own and fully automate the process.

A developer built an AI that generates profitable TradingView strategies in minutes. The result? +2329% For 5 years he spent his time on: - Sleepless nights - Manual coding - Endless backtesting All to find ONE strategy that actually works. Now it takes minutes. In his new video, he shows how he built an AI assistant that can: - Build TradingView strategies from scratch - Backtest them instantly - Optimize them automatically - Deploy them live All from a single conversation. No coding required.

@test0rosso Maybe you're right, but as they always say, nothing lasts forever)

@OddsLedger Let's see how far this goes

Günaydın.🫶

Uyandık.👻

A single weather longshot trade returned +65,812% - enough to change the entire year Tradet put $8 on [Mexico City] hitting 21°C. The market gave it a 0.1% chance. It hit That $8 came back as $5,373. A 65,812% return on a single ticket Profile: @buracosolar?via=pavlo-ys0z" target="_blank" rel="nofollow noopener">polymarket.com/@buracosolar?v… Here's the part that gets me - [Mexico City] isn't even his market He's [Sao Paulo] trader: - 781 positions there - patient - methodical The kind of book you build over months In [Mexico City] he's barely touched 20 time So his biggest win of the year - nearly half of everything he made - didn't come from the city he mastered It came from one cold 0.1¢ shot in a place he almost never trades Eight dollars. One degree. A city he barely trades Sometimes the trade that defines your year isn't the one you spent months earning It's the one you almost didn't take

Step-by-step From $55 to $2,400 PnL turns this weather trader on Polymarket Insane result with 82% win-rate Profile to follow: [@LMVM?code=succubus" target="_blank" rel="nofollow noopener">predictparity.com/traders/p/@LMV…] Total PnL $2,419 / First Funding $55 / Win Rate 82.7% Now Active Positions $737 / USDC Balance $1,224 His strategy is simple but smart. He searches for the most likely weather outcome, enters while the market is still underpriced, takes around 20–30% profit and closes the position before settlement. He does not wait until the market resolves. Less time in the trade, less unnecessary risk and faster capital rotation into the next opportunity. Weather markets are quickly becoming one of the hottest niches on Polymarket and more traders are starting to watch these wallets, study their entries and follow new positions. I found this trader, bookmarked the profile and followed the wallet via Predict Parity to track every new weather trade. Starting with a huge bankroll is not always the advantage. Sometimes the real edge is finding the right trader before everyone else does.

@waleswoosh good morning to you bro , have a nice such sunny day)

Gm, it's a great day for a great day

@rileywestreel oh, such good informative information, thank you)

Anthropic just shipped the most agentic Sonnet yet. An early tester handed it a bug. Sonnet 5 wrote a failing test to reproduce it, shipped the fix, then deleted its own fix, just to watch the bug come back and prove the test was real. One pass. Nobody asked it to. That's Sonnet 5 in one move: it plans, drives browsers and terminals, finishes long multi-step work on its own, then checks itself before handing it back. New this release: an effort knob, all the way up to xhigh. Dial it down for fast and cheap, up for precision, you trade cost against quality on the fly. Defaults to high. The benchmarks track it. First Sonnet past 80% on SWE-bench Verified - 82.1%. On the harder SWE-bench Pro: 63.2%, up from 58.1%. On knowledge work it edges out the Opus 4.8 flagship. Nearly Opus - at a fraction of the price. This is the level that needed a bigger, pricier model a couple of months ago. Now it's the default Sonnet, and it checks its own work. Read the full breakdown below.