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Movez

@0xMovez • 34,772 subscribers

Content creator | AI researcher & agentic builder | CEO @beyond_xai

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The best Polymarket Quant bot for copy-trading with a 99.3% win rate. backtested strategy on 72M Polymarket/Kalshi trades to hit +$805K PnL on 27,000 predictions. bot doesn't gamble - it uses math and statistics in its algo to consistently hit 99% win rate. his algo decoded: 1. Mispricing formula based on 72M trades data, traders constantly overpay for cheap contracts (0.1¢–50¢) most of the edge sits in (80¢-99¢) contracts - that's the range where the bot mostly trades • formula: δ = actual win rate - implied probability bot applies this to every trade to find the edge. // 2. Expected value calculation EV tells you whether a bet is worth taking, regardless of the outcome of any single trade. • formula: EV = (P win × Payout) - (P lose × Cost) bot calculates it to understand if the trade is worth the risk. // 3. Kelly Criterion sizing most powerful position sizing formula ever discovered for gambling, trading and prediction markets it tells the algo what % of your portfolio to size into each bet to win long term. • formula: f* = (p * b - q) / b mispricing found → EV calced → kelly sizing → enter profile: start copy trading the bot with as little as $10 using Ares: 2 more formulas behind its algo revealed in the article below ↓

The best Polymarket Quant bot for copy-trading with a 99.3% win rate. backtested strategy on 72M Polymarket/Kalshi trades to hit +$805K PnL on 27,000 predictions. bot doesn't gamble - it uses math and statistics in its algo to consistently hit 99% win rate. his algo decoded: 1. Mispricing formula based on 72M trades data, traders constantly overpay for cheap contracts (0.1¢–50¢) most of the edge sits in (80¢-99¢) contracts - that's the range where the bot mostly trades • formula: δ = actual win rate - implied probability bot applies this to every trade to find the edge. // 2. Expected value calculation EV tells you whether a bet is worth taking, regardless of the outcome of any single trade. • formula: EV = (P win × Payout) - (P lose × Cost) bot calculates it to understand if the trade is worth the risk. // 3. Kelly Criterion sizing most powerful position sizing formula ever discovered for gambling, trading and prediction markets it tells the algo what % of your portfolio to size into each bet to win long term. • formula: f* = (p * b - q) / b mispricing found → EV calced → kelly sizing → enter profile: start copy trading the bot with as little as $10 using Ares: 2 more formulas behind its algo revealed in the article below ↓

1,808,001 views

Weather trading Clawdbots making thousands $ on Polymarket by simple arbitrage. Scanning weather markets every 2 mins and comparing data to NOAA forecast for location/date If they see undervalued temperature bucket ( Run your clawdbot in 5 simple steps: • install clawdbot on mac/pc using oneliner code • connect clawdbot with ChatGPT 5.2 & TG bot • create Simmer SDK account & fund wallet • install simmer { weather trader } skills • send your clawdbot right { configuration } > Weather clawdbot configuration: • entry threshold: 0.45¢ • max position: $5.00 • locations: NYC, Chicago, Seattle, Atlanta, Dallas • max trades/run: 5 • safeguards: Enabled • trend detection: Enabled • scan run: every 2 minutes Start testing with small sum $2-5 to calibrate your Clawdbot and give it data for analysis. Scale it when you see $20-50 of consistent revenue for several days. Use my detailed article to run you first weather clawdbot.

Weather trading Clawdbots making thousands $ on Polymarket by simple arbitrage. Scanning weather markets every 2 mins and comparing data to NOAA forecast for location/date If they see undervalued temperature bucket ( Run your clawdbot in 5 simple steps: • install clawdbot on mac/pc using oneliner code • connect clawdbot with ChatGPT 5.2 & TG bot • create Simmer SDK account & fund wallet • install simmer { weather trader } skills • send your clawdbot right { configuration } > Weather clawdbot configuration: • entry threshold: 0.45¢ • max position: $5.00 • locations: NYC, Chicago, Seattle, Atlanta, Dallas • max trades/run: 5 • safeguards: Enabled • trend detection: Enabled • scan run: every 2 minutes Start testing with small sum $2-5 to calibrate your Clawdbot and give it data for analysis. Scale it when you see $20-50 of consistent revenue for several days. Use my detailed article to run you first weather clawdbot.

1,407,665 views

MIT math-professor quit university and turned $300 → $66K on Polymarket weather markets. His thesis was: "ML models produce better weather forecasts than physics-based ones." He built his own model that predicts super-rare weather events { 0.01¢ - 0.1¢ } The result is crazy: 24$ → 12,398$ 13$ → 6,850$ 11$ → 5,752$ He trades a wide range of regions from Chicago to Ankara only thing that matters is 0.01¢ - 0.1¢ range. Start copy-trading his ML model using Kreo: Pinned his research and wallet below ↓

MIT math-professor quit university and turned $300 → $66K on Polymarket weather markets. His thesis was: "ML models produce better weather forecasts than physics-based ones." He built his own model that predicts super-rare weather events { 0.01¢ - 0.1¢ } The result is crazy: 24$ → 12,398$ 13$ → 6,850$ 11$ → 5,752$ He trades a wide range of regions from Chicago to Ankara only thing that matters is 0.01¢ - 0.1¢ range. Start copy-trading his ML model using Kreo: Pinned his research and wallet below ↓

299,178 views

Polymarket self-calibrating weather-trading Python bot (Full Guide) run the smartest weather-trading bot with 0 coding knowledge after reading this article: what's inside: > github with full Python code > trading 20 cities & 4 continents > 3 forecast sources {ECMWF, HRRR, METAR} > EV+ automatic calculation for each trade > auto-sizing based on the Kelly Criterion > full-data storage {forecast, trade, resolution} > self-calibration based on snapshots & data logic of the bot: • get 3 type of forecasts from Open-Meteo API • compare station data to 1h forecasts to get real data • calculate +EV per $1 using the {min_ev} parameter • detemine size based on Kelly Criterion • run a 1000$ test-simulation using the strategy • snapshot each trade, forecast, and resultion • auto-calibrates every 30 forecasts per city This bot won't print you $500 next day after setup, but it will give you a sandbox for testing own strategies.

Polymarket self-calibrating weather-trading Python bot (Full Guide) run the smartest weather-trading bot with 0 coding knowledge after reading this article: what's inside: > github with full Python code > trading 20 cities & 4 continents > 3 forecast sources {ECMWF, HRRR, METAR} > EV+ automatic calculation for each trade > auto-sizing based on the Kelly Criterion > full-data storage {forecast, trade, resolution} > self-calibration based on snapshots & data logic of the bot: • get 3 type of forecasts from Open-Meteo API • compare station data to 1h forecasts to get real data • calculate +EV per $1 using the {min_ev} parameter • detemine size based on Kelly Criterion • run a 1000$ test-simulation using the strategy • snapshot each trade, forecast, and resultion • auto-calibrates every 30 forecasts per city This bot won't print you $500 next day after setup, but it will give you a sandbox for testing own strategies.

93,175 views

Bot turned $300 → $101K in 2 months on Polymarket weather markets scanning forecasts across 20 cities via WeatherAPI hunting ultra-rare weather events {0.01¢ -0.1¢} I found a fully working, self-calibrating Python bot running this exact strategy bots results are crazy: 25$ → 12,452$ 16$ → 8,106$ 11$ → 5,752$ bot uses (ECMWF, HRRR, METAR) forecast, calculates EV, sizes positions with Kelly, and self-calibrates. how to set-up: • install python 3.10 on PC/Mac • get free weather API from { visualcrossing .com } • set polymarket account and get API in /profile • git clone { github .com/alteregoeth-ai/weatherbot } • setup config .json using article below • run $1,000 dry test → then go live with real USDC • give it 100+ trades to self-calibrate for more accurate results add paid APIs like OpenWeather, Tomorrow .io, OpenMeteo bot profile:

Bot turned $300 → $101K in 2 months on Polymarket weather markets scanning forecasts across 20 cities via WeatherAPI hunting ultra-rare weather events {0.01¢ -0.1¢} I found a fully working, self-calibrating Python bot running this exact strategy bots results are crazy: 25$ → 12,452$ 16$ → 8,106$ 11$ → 5,752$ bot uses (ECMWF, HRRR, METAR) forecast, calculates EV, sizes positions with Kelly, and self-calibrates. how to set-up: • install python 3.10 on PC/Mac • get free weather API from { visualcrossing .com } • set polymarket account and get API in /profile • git clone { github .com/alteregoeth-ai/weatherbot } • setup config .json using article below • run $1,000 dry test → then go live with real USDC • give it 100+ trades to self-calibrate for more accurate results add paid APIs like OpenWeather, Tomorrow .io, OpenMeteo bot profile:

61,423 views

MIT student failed YCombinator pitch, so he turned $250→ $66K on Polymarket weather markets to fund his startup. His pitch topic was: "Weather forecasting with AI probabilistic models." His custom model forecasts super-rare weather events {0.01¢ - 0.1¢} MVP pitch was crazy: 23$ → 12,398$ 14$ → 6,850$ 9$ → 4,671$ His model trades a wide range of regions from Atlanta to Ankara only thing that matters is 0.01¢ - 0.1¢ range. his profile: Start copy-trading his ML model using Kreo: Pinned his research and wallet below ↓

MIT student failed YCombinator pitch, so he turned $250→ $66K on Polymarket weather markets to fund his startup. His pitch topic was: "Weather forecasting with AI probabilistic models." His custom model forecasts super-rare weather events {0.01¢ - 0.1¢} MVP pitch was crazy: 23$ → 12,398$ 14$ → 6,850$ 9$ → 4,671$ His model trades a wide range of regions from Atlanta to Ankara only thing that matters is 0.01¢ - 0.1¢ range. his profile: Start copy-trading his ML model using Kreo: Pinned his research and wallet below ↓

55,490 views

Polymarket Weather Clawbots making thousands $ monthly on simple arbitrage Aggregate forecasts API from: NOAA, Weatherbit, Tomorrowio & compare to Polymarket prices every 2-min When they see undervalued temperature bucket ( Run weather trading clawdbot on VPS for 12,2$: • visit { contabo. com/en/openclaw-hosting } and choose Cloud VPS 20 ~ $7.2 • install OpenClaw v2026.2.6 by one-liner code ~ $0 • connect Claude Opus 4.6 API to Clawdbot ~ $5 • connect TG bot for controlling Clawdbot ~ $0 • install Simmer SDK { weather trader } skill ~ $0 • send configuration to your clawdbot // > Weather clawdbot configuration: • entry threshold: 0.70¢ • max position: $5.00 • locations: NYC, Chicago, Seattle, Atlanta, Dallas • max trades/run: 5 • safeguards: Enabled • trend detection: Enabled • scan run: every 2 minutes Test with small sum $2-5 to calibrate your Clawdbot and give it data for analysis or test SIM token. Scale it when you see >$50 of consistent revenue for several days.

Polymarket Weather Clawbots making thousands $ monthly on simple arbitrage Aggregate forecasts API from: NOAA, Weatherbit, Tomorrowio & compare to Polymarket prices every 2-min When they see undervalued temperature bucket ( Run weather trading clawdbot on VPS for 12,2$: • visit { contabo. com/en/openclaw-hosting } and choose Cloud VPS 20 ~ $7.2 • install OpenClaw v2026.2.6 by one-liner code ~ $0 • connect Claude Opus 4.6 API to Clawdbot ~ $5 • connect TG bot for controlling Clawdbot ~ $0 • install Simmer SDK { weather trader } skill ~ $0 • send configuration to your clawdbot // > Weather clawdbot configuration: • entry threshold: 0.70¢ • max position: $5.00 • locations: NYC, Chicago, Seattle, Atlanta, Dallas • max trades/run: 5 • safeguards: Enabled • trend detection: Enabled • scan run: every 2 minutes Test with small sum $2-5 to calibrate your Clawdbot and give it data for analysis or test SIM token. Scale it when you see >$50 of consistent revenue for several days.

48,265 views

This Quant bot turned $1.4K → $203K in 3 months using a self-trained ML model i traced his 55K predictions → uploaded into Codex 5.5 → connected Hermes agent installed it on a VPS + connected Binance + Synth ML models API 3 days → 343% ROI run trading agent in 5 steps: • rent a VPS on Hetzner - $5.99 • install Hermes CLI using one-liner code - free • connect Codex 5.5 + TG bot + Polymarket API • provide Synth Data API's for crypto predictions • sent Hermes step-by-step prompts from article start small 1-2$ give Hermes least {50-100} trades to build self-learning skills based on Synth ML models self-learning agent + crypto predictions models = best combination for building algo-trading setup bot profile: s tart copy-trading it with even with $5 using Ares: read full article below to build your first trading agent ↓

This Quant bot turned $1.4K → $203K in 3 months using a self-trained ML model i traced his 55K predictions → uploaded into Codex 5.5 → connected Hermes agent installed it on a VPS + connected Binance + Synth ML models API 3 days → 343% ROI run trading agent in 5 steps: • rent a VPS on Hetzner - $5.99 • install Hermes CLI using one-liner code - free • connect Codex 5.5 + TG bot + Polymarket API • provide Synth Data API's for crypto predictions • sent Hermes step-by-step prompts from article start small 1-2$ give Hermes least {50-100} trades to build self-learning skills based on Synth ML models self-learning agent + crypto predictions models = best combination for building algo-trading setup bot profile: s tart copy-trading it with even with $5 using Ares: read full article below to build your first trading agent ↓

29,272 views

Anthropic dev turned $300 → $91K using upcoming Claude Mythos model on Polymarket weather markets No code. All he did is sent one MIT research: "Weather forecasting using ML models" Mythos model started to predict super-rare weather events {0.01¢ - 0.1¢} The result is crazy: 25$ → 12,452$ 16$ → 8,106$ 13$ → 6,851$ model trades a wide range of regions from Tokyo to Ankara only thing that matters is 0.01¢ - 0.1¢ range. bot profile: Pinned research that was sent as a prompt below ↓

Anthropic dev turned $300 → $91K using upcoming Claude Mythos model on Polymarket weather markets No code. All he did is sent one MIT research: "Weather forecasting using ML models" Mythos model started to predict super-rare weather events {0.01¢ - 0.1¢} The result is crazy: 25$ → 12,452$ 16$ → 8,106$ 13$ → 6,851$ model trades a wide range of regions from Tokyo to Ankara only thing that matters is 0.01¢ - 0.1¢ range. bot profile: Pinned research that was sent as a prompt below ↓

34,903 views

Polymarket 5-min markets arbitrage with Clawdbot powered by Chainlink API Polymarket uses Chainlink data for 5-min markets resolution. But sometimes the terminal instant lag vs Chainlink API. Exploit this inefficiency using a simple Clawdbot: • install Clawdbot using: { curl -fsSL https: //openclaw.ai/install.sh } • connect it to Claude Opus 4.6 and TG bot in CLI. • create an account on { simmer } → set up wallet. • install the { fast loop trading skill } by simmer • connect Chainlink API to your Clawdbot • change Binance data price for Chainlink API // How its works: • fetches BTC price momentum from Chainlink API • discovers active 5-min fast markets via Gamma API • compares API momentum against market odds • trades when divergence exceeds threshold - dry-run by default // Configuration for clawdbot: • asset: BTC • entry threshold: 0.05 (min divergence from 50¢) • min momentum: 0.5% (min price move) • max position: $5.00 • signal source: chainlink api • lookback: 5 minutes • Min time left: 60s • Volume weighting: enable When Clawdbot finds a divergence, it apes the opportunity. This is simple arbitrage between Chainlink API and Polymarket prices.

Polymarket 5-min markets arbitrage with Clawdbot powered by Chainlink API Polymarket uses Chainlink data for 5-min markets resolution. But sometimes the terminal instant lag vs Chainlink API. Exploit this inefficiency using a simple Clawdbot: • install Clawdbot using: { curl -fsSL https: //openclaw.ai/install.sh } • connect it to Claude Opus 4.6 and TG bot in CLI. • create an account on { simmer } → set up wallet. • install the { fast loop trading skill } by simmer • connect Chainlink API to your Clawdbot • change Binance data price for Chainlink API // How its works: • fetches BTC price momentum from Chainlink API • discovers active 5-min fast markets via Gamma API • compares API momentum against market odds • trades when divergence exceeds threshold - dry-run by default // Configuration for clawdbot: • asset: BTC • entry threshold: 0.05 (min divergence from 50¢) • min momentum: 0.5% (min price move) • max position: $5.00 • signal source: chainlink api • lookback: 5 minutes • Min time left: 60s • Volume weighting: enable When Clawdbot finds a divergence, it apes the opportunity. This is simple arbitrage between Chainlink API and Polymarket prices.

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SpaceXAI engineer, Lauren Tan: "GrokBot is the most powerful agentic tool we have ever built, but only 1% of users use it correctly right now I'm running a team of 20+ GrokBot agents. I have a Chief of Staff agent, 3 managers and 16 workers - that's how the team looks like" In a 1-hour workshop, a SpaceXAI engineer reveals how to use Grok agents at 100% of their potential worth more than a $500 agent engineering course on the internet Skip Netflix and watch today, it will change the way you use GrokBot forever, then read the article below
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SpaceXAI engineer, Lauren Tan: "GrokBot is the most powerful agentic tool we have ever built, but only 1% of users use it correctly right now I'm running a team of 20+ GrokBot agents. I have a Chief of Staff agent, 3 managers and 16 workers - that's how the team looks like" In a 1-hour workshop, a SpaceXAI engineer reveals how to use Grok agents at 100% of their potential worth more than a $500 agent engineering course on the internet Skip Netflix and watch today, it will change the way you use GrokBot forever, then read the article below

Movez

880,595 views • 6 days ago

SpaceXAI engineer (ex. Cursor): "99% of people using GrokBot just for 1% of its power. they run 1-2 agents without "loop" & "graph" I'm running a team of 15+ GrokBot agents on automode. I have a Chief of Staff agent, a PM agent and 20+ workers - that's the new stack of engineer" In a 1-hour session, a SpaceXAI engineer explained how to build a team of GrokBots agents for GTM from sratch worth more than a $500 agentic engineering course watch this workshop today, then read how to build a fleet of GrokBot agents in the article below
54:35
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SpaceXAI engineer (ex. Cursor): "99% of people using GrokBot just for 1% of its power. they run 1-2 agents without "loop" & "graph" I'm running a team of 15+ GrokBot agents on automode. I have a Chief of Staff agent, a PM agent and 20+ workers - that's the new stack of engineer" In a 1-hour session, a SpaceXAI engineer explained how to build a team of GrokBots agents for GTM from sratch worth more than a $500 agentic engineering course watch this workshop today, then read how to build a fleet of GrokBot agents in the article below

Movez

132,105 views • 1 day ago

Google engineer: "delete your IDE, you don't need it anymore. in 2026 if you are still not building AI agents, it's crazy how bad you are At Google, 85% of engineers are running agentic "loops" and graphs, that's how the engineering setup will look" in a 25-minute session, a Google engineer with 30 years of experience reveals how AI engineering will look like in 2026 Worth more than 10 paid agentic courses Watch it today, then read how to run a self-improving agentic system in the article below
24:04
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Google engineer: "delete your IDE, you don't need it anymore. in 2026 if you are still not building AI agents, it's crazy how bad you are At Google, 85% of engineers are running agentic "loops" and graphs, that's how the engineering setup will look" in a 25-minute session, a Google engineer with 30 years of experience reveals how AI engineering will look like in 2026 Worth more than 10 paid agentic courses Watch it today, then read how to run a self-improving agentic system in the article below

Movez

1,189,167 views • 15 days ago

SpaceXAI engineer, Lauren Tan: "at SpaceXAI, 90% of engineers running 10-20 GrokBot agents in a loop. We have Chief of Staff agents, they are managing all other bots GrokBot has already 1M+ users, but less than 1k people use it at 100% of its potential as our team" in a 1-hour talk, a SpaceXAI engineer reveals how to build agentic systems like GrokBot from scratch worth more than a $500 agentic course on the internet watch today, then read how to build a team of GrokBot agents in the article below
56:37
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SpaceXAI engineer, Lauren Tan: "at SpaceXAI, 90% of engineers running 10-20 GrokBot agents in a loop. We have Chief of Staff agents, they are managing all other bots GrokBot has already 1M+ users, but less than 1k people use it at 100% of its potential as our team" in a 1-hour talk, a SpaceXAI engineer reveals how to build agentic systems like GrokBot from scratch worth more than a $500 agentic course on the internet watch today, then read how to build a team of GrokBot agents in the article below

Movez

117,084 views • 5 days ago

Google engineer: "just uninstall your IDE, you don't need it anymore. 85% of PR's at Google right now shipped by AI agents. in 2026 if you aren't building AI agents it's crazy how behind you are" in a 1-hour talk, a Google engineer with 30 years of experience explains how the future of agents will look worth more than 10 paid agentic courses watch today, then explore how to build self-improving agents with graphs in article below
58:21
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Google engineer: "just uninstall your IDE, you don't need it anymore. 85% of PR's at Google right now shipped by AI agents. in 2026 if you aren't building AI agents it's crazy how behind you are" in a 1-hour talk, a Google engineer with 30 years of experience explains how the future of agents will look worth more than 10 paid agentic courses watch today, then explore how to build self-improving agents with graphs in article below

Movez

401,280 views • 18 days ago

This 30-min workshop by the creator of Claude Code will teach you more about vibe-coding than 100 YouTube video guides. Bookmark it & give it 30 minutes today. This video will change the way you use Claude forever.
27:54
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This 30-min workshop by the creator of Claude Code will teach you more about vibe-coding than 100 YouTube video guides. Bookmark it & give it 30 minutes today. This video will change the way you use Claude forever.

Movez

3,771,841 views • 4 months ago

Spotify's Chief Architect just showed how they ship 4,5K deployments /day with Claude at Anthropic stage 27-minutes. free. By #1 music app dev "More than 99% of our engineers use AI coding tools. Adoption took off after Opus 4.5" Worth more than any $500 vibe-coding course.
27:12
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Spotify's Chief Architect just showed how they ship 4,5K deployments /day with Claude at Anthropic stage 27-minutes. free. By #1 music app dev "More than 99% of our engineers use AI coding tools. Adoption took off after Opus 4.5" Worth more than any $500 vibe-coding course.

Movez

2,591,020 views • 3 months ago

Jane Street pays $750k/ year for quants who can answer how to use Stochastic Process and Markov Chains in quant trading. This 1-hour MIT lecture on probability gives you the same insights quants get paid $60K/month for. Bookmark & watch today. Then read the article below.
1:17:18
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Jane Street pays $750k/ year for quants who can answer how to use Stochastic Process and Markov Chains in quant trading. This 1-hour MIT lecture on probability gives you the same insights quants get paid $60K/month for. Bookmark & watch today. Then read the article below.

Movez

2,673,462 views • 3 months ago

Anthropic engineer: “70% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs" in 3-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.” in 30-minute lecture, Anthropic engineer shows how to build a self-improving agentic workflow from scratch. Worth more than a $500 agentic course. Watch this video, then read the article below on how to become a graph architect.
36:10
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Anthropic engineer: “70% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs" in 3-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.” in 30-minute lecture, Anthropic engineer shows how to build a self-improving agentic workflow from scratch. Worth more than a $500 agentic course. Watch this video, then read the article below on how to become a graph architect.

Movez

635,171 views • 1 month ago

Anthropic engineer: “80% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs. In 4-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.” in a 20‑minute talk, Anthropic engineer explains how to build self‑improving agentic systems from scratch. Worth more than a $500 agentic course. Watch this video, then read the article below on how to become a graph architect.
19:03
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Anthropic engineer: “80% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs. In 4-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.” in a 20‑minute talk, Anthropic engineer explains how to build self‑improving agentic systems from scratch. Worth more than a $500 agentic course. Watch this video, then read the article below on how to become a graph architect.

Movez

676,763 views • 1 month ago

Andrew Ng just dropped a 3-hour course on how to become an AI Engineer in 2026: • 00:00 - How to build agentic AI systems • 04:25 - Future of AI engineering • 23:38 - AI Prompting full course • 2:52:17 - Creating an app with AI in 30 minutes This 3-hour watch could replace 10 AI engineering courses on the internet. Watch it today, then read how to run a self-improving system in the article below.
3:18:14
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Andrew Ng just dropped a 3-hour course on how to become an AI Engineer in 2026: • 00:00 - How to build agentic AI systems • 04:25 - Future of AI engineering • 23:38 - AI Prompting full course • 2:52:17 - Creating an app with AI in 30 minutes This 3-hour watch could replace 10 AI engineering courses on the internet. Watch it today, then read how to run a self-improving system in the article below.

Movez

895,372 views • 2 months ago

Anthropic just dropped 5 workshops on building self-improving agentic systems from scratch: 00:00 - Ship your first Claude agent 36:44 - Build memory for Claude agents 1:05:06 - Make your agent autonomous 1:26:46 - Set up a proactive agent 2:03:35 - self-improving agents (tools,skills) These 3-hours of free Claude workshops will replace 10 paid agentic courses. Watch today, then read article below on how to build a self-improving agentic system with Fable 5.
2:48:18
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Anthropic just dropped 5 workshops on building self-improving agentic systems from scratch: 00:00 - Ship your first Claude agent 36:44 - Build memory for Claude agents 1:05:06 - Make your agent autonomous 1:26:46 - Set up a proactive agent 2:03:35 - self-improving agents (tools,skills) These 3-hours of free Claude workshops will replace 10 paid agentic courses. Watch today, then read article below on how to build a self-improving agentic system with Fable 5.

Movez

928,023 views • 2 months ago

Creator of Claude Code just dropped a 6-min workshop on new Claude feature during live session in London. Boris Cherny: “A lot of my code these days is written by "routines". I’m not doing the prompting - I create the routines that do the prompting.” 6 minutes. Free. From a live session. Watch this now. This will change the way you vibe-code forever.
6:18
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Creator of Claude Code just dropped a 6-min workshop on new Claude feature during live session in London. Boris Cherny: “A lot of my code these days is written by "routines". I’m not doing the prompting - I create the routines that do the prompting.” 6 minutes. Free. From a live session. Watch this now. This will change the way you vibe-code forever.

Movez

1,682,740 views • 3 months ago

Google Cloud AI engineer just showed how they go from idea to deployed app at Google in 30-minutes using Claude. 26-minutes. free. by Google AI team. one person + Claude + Google Cloud = a full engineering org running on a laptop. worth more than any $500 vibe-coding course.
26:23
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Google Cloud AI engineer just showed how they go from idea to deployed app at Google in 30-minutes using Claude. 26-minutes. free. by Google AI team. one person + Claude + Google Cloud = a full engineering org running on a laptop. worth more than any $500 vibe-coding course.

Movez

1,777,295 views • 3 months ago

Andrew Ng: "100% of my tasks are now done by AI agents - hype has exceeded my expectations. Loops is next step. in 3-6 months, everyone will be using self-improving loops. No more prompting." In a 30-minute talk, Andrew Ng explains how to build self-improving agentic systems from scratch. Worth more than a $500 agentic course.
31:42
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Andrew Ng: "100% of my tasks are now done by AI agents - hype has exceeded my expectations. Loops is next step. in 3-6 months, everyone will be using self-improving loops. No more prompting." In a 30-minute talk, Andrew Ng explains how to build self-improving agentic systems from scratch. Worth more than a $500 agentic course.

Movez

960,635 views • 2 months ago

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in 1-hour interview, Boris reveals his setup, which helps him build the #1 coding tool of this year. Worth more than a $500 vibe-coding course.
50:12
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Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in 1-hour interview, Boris reveals his setup, which helps him build the #1 coding tool of this year. Worth more than a $500 vibe-coding course.

Movez

997,658 views • 2 months ago

SpaceXAI senior engineer just released a 1-hour workshop on how to build a team of GrokBot agents to automate 100% of daily tasks: • 05:32 - build your first GrokBot agent • 13:01 - creating skills for GrokBot • 33:46 - team of GrokBot agents design patterns • 55:17 - agentic /loops for GrokBot agents this 1-hour watch will change the way you interact with GrokBot forever skip Netflix today, give it 1 hour, read the article below > automate 100% of your routine
1:04:44
0xMovez's profile picture

SpaceXAI senior engineer just released a 1-hour workshop on how to build a team of GrokBot agents to automate 100% of daily tasks: • 05:32 - build your first GrokBot agent • 13:01 - creating skills for GrokBot • 33:46 - team of GrokBot agents design patterns • 55:17 - agentic /loops for GrokBot agents this 1-hour watch will change the way you interact with GrokBot forever skip Netflix today, give it 1 hour, read the article below > automate 100% of your routine

Movez

38,053 views • 3 days ago

This 1 hour lecture on "Probability Theory" from MIT will teach you more about prediction markets than 2 month internship at at a Wall Street Quant firm. Bookmark this & give it 1 hour today, no matter what. It’s the most productive start you can give your week. Then read post below.
1:17:59
0xMovez's profile picture

This 1 hour lecture on "Probability Theory" from MIT will teach you more about prediction markets than 2 month internship at at a Wall Street Quant firm. Bookmark this & give it 1 hour today, no matter what. It’s the most productive start you can give your week. Then read post below.

Movez

1,840,801 views • 5 months ago

This 1 hour Stanford lecture on "Sports betting math" by founder of $160M sports platform, reveal the math used by betting platforms to print millions on sports. Bookmark this & give it 1 hour today, no matter what. It’s the most productive start you can give your week. Then read post below.
59:25
0xMovez's profile picture

This 1 hour Stanford lecture on "Sports betting math" by founder of $160M sports platform, reveal the math used by betting platforms to print millions on sports. Bookmark this & give it 1 hour today, no matter what. It’s the most productive start you can give your week. Then read post below.

Movez

1,418,310 views • 4 months ago

Anthropic engineer: "Fable is one of those models you’ll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. We just removed 80% of Claude Code’s system prompt. A new class of models wants a smaller prompt." in 20-minute session, an Anthropic core engineer reveals the capabilities of Fable. Watch it now, then read how to use this frontier model in the article below.
18:51
0xMovez's profile picture

Anthropic engineer: "Fable is one of those models you’ll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. We just removed 80% of Claude Code’s system prompt. A new class of models wants a smaller prompt." in 20-minute session, an Anthropic core engineer reveals the capabilities of Fable. Watch it now, then read how to use this frontier model in the article below.

Movez

551,515 views • 2 months ago