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system for loop challenges is mostly finished, this is how it will look, there will be predefined circuits that have sets/sequences of loops and loop sections around them, on the video - set of 1 loop and 1 section for quick example

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Andrei Mishanin

93,107 subscribers

27,438 görüntüleme • 1 yıl önce •via X (Twitter)

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Rekrios profil fotoğrafı
Rekrios1 yıl önce

I think the initially fork might be confusing at first since there's very little indication for the split with the tiny arrow. Also, I know the UI is still in the making but the numbers on the side might be distracting with how bright and near the center they are.

Master of Disaster, PhD. profil fotoğrafı
Master of Disaster, PhD.1 yıl önce

The music tho

Ishan Purkait profil fotoğrafı
Ishan Purkait1 yıl önce

Looks so snappy and fun!!

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This video will make you an expert loop engineer in 21 minutes. Prompting is dead. You need to be running loops. 0:51 Understanding LLMs 3:41 wtf is a loop? 6:17 Two kinds of loops 8:54 /goal versus /loop 10:44 Website audit demo 13:27 Real loop workflow ideas 19:11 Scheduling loops
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This video will make you an expert loop engineer in 21 minutes. Prompting is dead. You need to be running loops. 0:51 Understanding LLMs 3:41 wtf is a loop? 6:17 Two kinds of loops 8:54 /goal versus /loop 10:44 Website audit demo 13:27 Real loop workflow ideas 19:11 Scheduling loops

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Lot's of noise recently about Gauntlet Loop after Matt Shumer game example - but truth is most agent loops without standardised frameworks around game libraries, 3D models, textures, terrain, lighting and multiplayer turn out to be super unpredictable, messy, overly expensive, as @levelsio pointed out Today we're introducing LOOP - our take on agent loops to build AI games. The Tesana LOOP inside our AI game engine solves assets → game libraries → multiplayer → and a full user-facing experience. Set a budget for your LOOP, and come back to a properly finished game ready to launch, without reinventing and wasting tokens on your build every session.
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Lot's of noise recently about Gauntlet Loop after Matt Shumer game example - but truth is most agent loops without standardised frameworks around game libraries, 3D models, textures, terrain, lighting and multiplayer turn out to be super unpredictable, messy, overly expensive, as @levelsio pointed out Today we're introducing LOOP - our take on agent loops to build AI games. The Tesana LOOP inside our AI game engine solves assets → game libraries → multiplayer → and a full user-facing experience. Set a budget for your LOOP, and come back to a properly finished game ready to launch, without reinventing and wasting tokens on your build every session.

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The future of vibecoding is looping. ( my recent app cnvs has done $5.7k in 5 days and was made primarily with design looping ) you can easily break free from ai slop and create designs that feel artisan and worth paying for. im begging you to bookmark this 10 min beginner guide and start setting up loops, it will change everything for you. Timestamps : 0:27 – The ultra-simple looping diagram explained 1:18 – The best loop to start with: the design loop 1:38 – Using Codex + GPT Image Gen for the mockup 3:57 – Handing the mockup to Claude Code 4:45 – Loop starts (screenshot → compare → iterate) 7:31 – Loop finished : reviewing the result

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The Genesis Mission is going to bring together industry, U.S. Department of Energy's National Labs, and data sets all tied together in a closed loop system to rapidly advance the pace of scientific and engineering progress. It will be transformative.
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The Genesis Mission is going to bring together industry, U.S. Department of Energy's National Labs, and data sets all tied together in a closed loop system to rapidly advance the pace of scientific and engineering progress. It will be transformative.

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Anthropic just dropped 1-hour workshop on loop engineering: 1 spec → the loop → 200 features from 0% to 100%: • 10% → 5:31 - Building memory for agentic loops • 30% → 8:22 - Four files for each Loop: features.json, standards.md, progress.md, • 55% → 11:02 - The Loop: check environment → run tests → pick feature → build → test → commit • 80% → 13:06 - one feature per loop. try everything at once and context dies mid-build • 100% → 33:03 - MVP in 1 hour, every next loop under 30 minutes most people build an agent that finishes a task -Anthropic ships agentic loops that can run for days without you. watch it today - then read the full loop engineering playbook below ↓

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Added highly-scalable loop closure and bundle adjustment to my ultra-efficient VIO. See me running around my apartment for a few loops and return to starting point. Uses model on NPU instead of the classic bag-of-words; which is not very scalable. This is now VIO + Loop Closure running realtime on my $15 camera board. 😁
0:53

Added highly-scalable loop closure and bundle adjustment to my ultra-efficient VIO. See me running around my apartment for a few loops and return to starting point. Uses model on NPU instead of the classic bag-of-words; which is not very scalable. This is now VIO + Loop Closure running realtime on my $15 camera board. 😁

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Claude Code creator Boris Cherny: "Verification is the single most important part of closed-loop development" "Companies underinvest in it, and that is the biggest mistake" In a 26-minute talk, Boris breaks down real AI coding loops with Spotify's Chief Engineer: 00:00 - Closed-loop development 08:33 - Why one-shot code generation fails 10:02 - Agentic verifier and PR success rate 12:00 - Verification loops without humans in the loop 14:00 - Tests, skills, CLAUDE.md, and MCP as the loop infrastructure 20:11 - Why consistent codebases make agents work better This one video is worth more than 100 Claude coding setup tutorials Bookmark and watch it today Then read the full guide on loop engineering below

rari

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Creator of agent loops: "Anthropic also using my agent systems formula and still the biggest mistake in agents: is skipping Graphs" his 3 rules for every agent: rule 1 → loop it, don't run once - think, act, observe, repeat - cut the context and it forgets why it started rule 2 → an agent is memory + tools + reasoning - drop one and it breaks rule 3 → stop fine-tuning the model - the real alpha is the infrastructure around it the formula behind every AI agent - explained by the one who wrote it one agent → a loop → a graph of loops → a system that never forgets watch & bookmark - then read how to wire it into a graph ↓

codila

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Loop Puncher Gets Some Medicine Someone caught the “loop puncher” downtown and gave him a taste of his own medicine. last night. Shoutout bmoneybmoney_ for chasing him off 🫡 The “Loop Puncher” is believed to be a man accused of randomly punching pedestrians, often women, in downtown Chicago (particularly around the Loop).  •Multiple alleged victims have described how they were walking, minding their own business, and then struck unexpectedly.  🎥: jodygtv via Instagram bmoneybmoney_ via Instagram #ChicagoScanner
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Loop Puncher Gets Some Medicine Someone caught the “loop puncher” downtown and gave him a taste of his own medicine. last night. Shoutout bmoneybmoney_ for chasing him off 🫡 The “Loop Puncher” is believed to be a man accused of randomly punching pedestrians, often women, in downtown Chicago (particularly around the Loop).  •Multiple alleged victims have described how they were walking, minding their own business, and then struck unexpectedly.  🎥: jodygtv via Instagram bmoneybmoney_ via Instagram #ChicagoScanner

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There is a subtle architecture shift happening in voice AI. The voice stack is becoming part of the agent's execution loop. Cartesia is combining the listening and speaking paths around that loop. Sonic-3.6 turns text into speech (90ms latency) and Ink-2 turns speech into text (100ms transcript latency), faster than anything else streaming. now holds the #1 spot for both speaking and listening models. Becasue, voice agents are one of those systems where 100ms in the wrong place is very noticeable. Cartesia is attacking both sides of that loop at once. super interesting work by Karan Goel and team.
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There is a subtle architecture shift happening in voice AI. The voice stack is becoming part of the agent's execution loop. Cartesia is combining the listening and speaking paths around that loop. Sonic-3.6 turns text into speech (90ms latency) and Ink-2 turns speech into text (100ms transcript latency), faster than anything else streaming. now holds the #1 spot for both speaking and listening models. Becasue, voice agents are one of those systems where 100ms in the wrong place is very noticeable. Cartesia is attacking both sides of that loop at once. super interesting work by Karan Goel and team.

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Kangaroo joey Froot Loop is cereal-sly cute! 🦘🤩 Froot Loop was born in December and recently started exploring outside of mother Roomer's pouch. Froot Loop enjoys a roo-tine of bouncing around the kangaroo habitat, munching on grass and climbing in and out of the pouch.

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HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7 A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself. That's the bigger idea. A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal. Build. Verify. Repeat. Stop when the condition is met. Here's what it looks like in practice: 1/SEO loop You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero. 2/Ads loop You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black. 3/Eval loop Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%. 4/LLM visibility loop People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not? The whole thing hinges on one thing: a metric that comes back black and white. Where do I rank? Did it hit profitability? Did the evals pass? Give an agent that scoreboard and it runs for months. Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one. You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down. Full episode on The Startup Ideas Podcast (SIP) 🧃 watch
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HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7 A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself. That's the bigger idea. A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal. Build. Verify. Repeat. Stop when the condition is met. Here's what it looks like in practice: 1/SEO loop You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero. 2/Ads loop You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black. 3/Eval loop Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%. 4/LLM visibility loop People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not? The whole thing hinges on one thing: a metric that comes back black and white. Where do I rank? Did it hit profitability? Did the evals pass? Give an agent that scoreboard and it runs for months. Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one. You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down. Full episode on The Startup Ideas Podcast (SIP) 🧃 watch

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STOP what you're doing right now and go get mark pincus's new book. It will change your life. Join us for Office Hours on Loop. The Good News LOOP
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STOP what you're doing right now and go get mark pincus's new book. It will change your life. Join us for Office Hours on Loop. The Good News LOOP

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