正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Jev Founder (ex-OpenAI): "I believe JEV is the biggest breakthrough we've ever worked on This sounds too good to be true but it's beating everything" In 5 minutes, he breaks down why older LLMs were great at talking and terrible at deciding and building. Watch it and then read... show more

darkzodchi

27,701 subscribers

28,025 次观看 • 5 天前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

10 条评论

Chen 的头像

Chen5 天前

brutally accurate. lived a version of this last quarter

darkzodchi 的头像

darkzodchi5 天前

yeah it’s his rare interview only done a few

Hussain Hashim | Building SundayBack 的头像

Hussain Hashim | Building SundayBack4 天前

@zodchiii super curious about the decision-making angle. I've hit that wall so many times building my own projects. Sounds like a game changer!

shobhanai 的头像

shobhanai5 天前

Every ex-OpenAI founder claims their new architecture is the biggest leap forward. The benchmark isn't synthetic tests anymore; it's whether it can replace complex human workflows in production without crashing. Let's see the live deployment data.

Julianem 的头像

Julianem3 天前

Max tokened

Jatin Garg 的头像

Jatin Garg5 天前

What specific capability makes this a breakthrough beyond existing small routing models?

MASA 的头像

MASA5 天前

Curious how it handles error loops once things break

Mira Takes 的头像

Mira Takes5 天前

The talking-versus-doing distinction is the useful framing; a strong test is whether the agent can recover from a failed tool call and still leave a verifiable artifact.

Brian Hadu 的头像

Brian Hadu4 天前

if JEV really surpasses older LLMs, it could redefine decision-making in AI

AI Mastery Guide 的头像

AI Mastery Guide5 天前

Beating everything is a big claim

相关视频

Jev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code era. Claude Code is still part of the assistance era - Jev is the next step Jev is x200 faster, x400 cheaper and has 0 hallucination. This is what comes after RLHF" In 17 minutes he explains why every model you use has a human-shaped flaw baked into it and why Jev is better worth more than a $500 Claude Code engineering course watch today, then read how to actually boost yourself x100 with Jev in the post below

Jev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code era. Claude Code is still part of the assistance era - Jev is the next step Jev is x200 faster, x400 cheaper and has 0 hallucination. This is what comes after RLHF" In 17 minutes he explains why every model you use has a human-shaped flaw baked into it and why Jev is better worth more than a $500 Claude Code engineering course watch today, then read how to actually boost yourself x100 with Jev in the post below

Codez

189,392 次观看 • 6 天前

OpenAI CEO Sam Altman: "GPT-6 Astra does in a day what your entire team used to spend month on. Most people won't even try it." In 1 hour he shows how to build a company with AI agents, and why a $20 plan and a few prompts won't get you there. I took the key ideas and turned them into a practical guide on how to actually get 100% out of AI. Watch it and then read the guide below on how to use it at it's fullest 👇🏼

OpenAI CEO Sam Altman: "GPT-6 Astra does in a day what your entire team used to spend month on. Most people won't even try it." In 1 hour he shows how to build a company with AI agents, and why a $20 plan and a few prompts won't get you there. I took the key ideas and turned them into a practical guide on how to actually get 100% out of AI. Watch it and then read the guide below on how to use it at it's fullest 👇🏼

darkzodchi

331,029 次观看 • 17 天前

Jev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code or Codex era, they are still part of the assistance era with human in the loop - JEV is what comes next for LLMs x200 faster, x400 cheaper, 0 hallucination, no human in the loop - that's JEV, this is how LLMs will look like" in 36-minute tech talk, Jev Founder explained why RLHF isn't a thing anymore and how modern LLMs will be built this talk is worth more than a Stanford Machine Learning degree watch today no matter what, then learn how to become a Jev Engineer in the article below

Jev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code or Codex era, they are still part of the assistance era with human in the loop - JEV is what comes next for LLMs x200 faster, x400 cheaper, 0 hallucination, no human in the loop - that's JEV, this is how LLMs will look like" in 36-minute tech talk, Jev Founder explained why RLHF isn't a thing anymore and how modern LLMs will be built this talk is worth more than a Stanford Machine Learning degree watch today no matter what, then learn how to become a Jev Engineer in the article below

Codez

444,060 次观看 • 5 天前

NVIDIA CEO, Jensen Huang: "Nobody writes prompts anymore, the new job is building Loops and Graphs." In 50 minutes he breaks down what replaced prompting and why most people haven't caught on yet. It's the difference between using AI and having AI work for you. Watch it, then read the guide below on how to build a system that improves itself.

NVIDIA CEO, Jensen Huang: "Nobody writes prompts anymore, the new job is building Loops and Graphs." In 50 minutes he breaks down what replaced prompting and why most people haven't caught on yet. It's the difference between using AI and having AI work for you. Watch it, then read the guide below on how to build a system that improves itself.

Anatoli Kopadze

470,808 次观看 • 1 个月前

NVIDIA CEO, Jensen Huang: "Nobody writes prompts anymore, the new job is building Loops and Graphs." In 50 minutes he breaks down what replaced prompting and why most people haven't caught on yet. It's the difference between using AI and having AI work for you. Watch it, then read the guide below on how to build a system that improves itself.

NVIDIA CEO, Jensen Huang: "Nobody writes prompts anymore, the new job is building Loops and Graphs." In 50 minutes he breaks down what replaced prompting and why most people haven't caught on yet. It's the difference between using AI and having AI work for you. Watch it, then read the guide below on how to build a system that improves itself.

Anatoli Kopadze

285,080 次观看 • 1 个月前

Anthropic AI Engineer: "The fastest way to make an agent better isn't a smarter model. It's the right Loop and Graph around it." In 17 minutes he breaks down what agentic engineering looks like at Anthropic, and why it's nothing like what most people imagine. Watch it, then save the full guide on loops and graphs below

Anthropic AI Engineer: "The fastest way to make an agent better isn't a smarter model. It's the right Loop and Graph around it." In 17 minutes he breaks down what agentic engineering looks like at Anthropic, and why it's nothing like what most people imagine. Watch it, then save the full guide on loops and graphs below

CyrilXBT

10,691 次观看 • 1 个月前

Sam Altman (CEO of Open AI): "You no longer need to write prompts, if you use GPT-6 Astra” In just 1 hour, he explains how to use GPT-6 Astra at a level that most people can't even imagine. After watching it, I realized I was only taking advantage of about 15% of what this tool can really do. Watch it and then read the guide l leave below on how to use it at it's fullest 👇🏼

Sam Altman (CEO of Open AI): "You no longer need to write prompts, if you use GPT-6 Astra” In just 1 hour, he explains how to use GPT-6 Astra at a level that most people can't even imagine. After watching it, I realized I was only taking advantage of about 15% of what this tool can really do. Watch it and then read the guide l leave below on how to use it at it's fullest 👇🏼

darkzodchi

803,949 次观看 • 18 天前

Google Brain founder, Andrew Ng: "Prompting will be dead in 6 months. Loops and Graphs are what's replacing it." In 1 hours at Stanford he shows what the best engineers build instead, and how you start building it today. Everything a $500 course sells you is in the first 10 minutes. Free. Watch it, then read the guide below on how to build a system that improves itself.

Google Brain founder, Andrew Ng: "Prompting will be dead in 6 months. Loops and Graphs are what's replacing it." In 1 hours at Stanford he shows what the best engineers build instead, and how you start building it today. Everything a $500 course sells you is in the first 10 minutes. Free. Watch it, then read the guide below on how to build a system that improves itself.

Codez

123,806 次观看 • 1 个月前

Sam Altman (CEO of OpenAI): "You no longer need to write prompts. GPT-6 Astra literally does everything better than you.” In just 26 minutes, he explains how to use LLMs at a level that most people can't even imagine. After watching it, I realized I was only taking advantage of about 15% of what this tool can really do. Watch it in full and then read the guide below on how to create a system that prompts itself 👇🏼

Sam Altman (CEO of OpenAI): "You no longer need to write prompts. GPT-6 Astra literally does everything better than you.” In just 26 minutes, he explains how to use LLMs at a level that most people can't even imagine. After watching it, I realized I was only taking advantage of about 15% of what this tool can really do. Watch it in full and then read the guide below on how to create a system that prompts itself 👇🏼

darkzodchi

247,388 次观看 • 20 天前

Andrej Karpathy: "Prompting is going away. Delete everything, keep Graph." In 1 hour he shows how to build Graphs, and why it's the only thing that will be left standing at the end. Anyone can build an agent, almost no one builds the Graph that runs them. Watch it, then read the full guide on Graphs below.

Andrej Karpathy: "Prompting is going away. Delete everything, keep Graph." In 1 hour he shows how to build Graphs, and why it's the only thing that will be left standing at the end. Anyone can build an agent, almost no one builds the Graph that runs them. Watch it, then read the full guide on Graphs below.

Mahax

257,975 次观看 • 14 天前

Instagram co-founder, now at Anthropic: "Most usage at Anthropic isn't Claude Code anymore, it's agents wired with the right loops and graphs working as teammates." In 25 minutes he explains how the people building frontier models actually work now. Worth more than any $700 course on AI you can find. Watch it, then read the step-by-step guide below on building an agent system that improves itself.

Instagram co-founder, now at Anthropic: "Most usage at Anthropic isn't Claude Code anymore, it's agents wired with the right loops and graphs working as teammates." In 25 minutes he explains how the people building frontier models actually work now. Worth more than any $700 course on AI you can find. Watch it, then read the step-by-step guide below on building an agent system that improves itself.

Anatoli Kopadze

64,102 次观看 • 26 天前

ANTHROPIC CEO, Dario Amodei: "In the next 2 to 5 years, AI will hit the job market faster and broader than anything we've ever seen." This isn't a forecast, it's already happening and you can't adapt while ignoring it. 38 minutes on how to win through these changes, from the CEO of a $965B company. Watch it, then read the guide on everything Claude can do below and you'll already know more than 99% of people.

ANTHROPIC CEO, Dario Amodei: "In the next 2 to 5 years, AI will hit the job market faster and broader than anything we've ever seen." This isn't a forecast, it's already happening and you can't adapt while ignoring it. 38 minutes on how to win through these changes, from the CEO of a $965B company. Watch it, then read the guide on everything Claude can do below and you'll already know more than 99% of people.

Anatoli Kopadze

234,017 次观看 • 2 个月前

Jev has been exploding in popularity recently. If you already have access to the Jev API but aren’t sure how to start experimenting with it, just copy this checklist: 1. agent-desktop Desktop automation. Read the system's accessibility tree, judge which button, menu, or input field to click next. 2. typesafe-mario Have Jev play Super Mario. No screenshots—just read the structured state in the emulator's RAM, then decide to run, jump, or dodge. 3. jev-drone Use Jev to control a drone. The underlying flight control still handles stability and safety; Jev just does higher-level judgments like climbing, braking, and navigating obstacles. 4. OneVOneJev 1v1 FPS in the browser. Every decision tick, judge movement, view angle, aiming, firing, and jumping. 5. jev-trader High-frequency market making on Monad testnet. Jev judges the next buy or sell based on spreads and trade direction, with model latency around 81ms. 6. Prism Doesn't directly have Jev place orders. It judges states like toxic flow, market pressure, mean reversion, etc., then hands off to the original strategy. 7. neo4jev Stuff Jev into a knowledge graph. At each node, judge the most worthwhile edge to take next, then follow it all the way. 8. jev-curate Use Jev to screen training data. For JSONL / Parquet, first judge quality, relevance, and risk, then decide which ones go into the next training round. 9. Canny Prevents Coding Agents from stubbornly claiming they're done. Look at tool outputs, code diffs, and test results, then judge if the completion claim is reliable. 10. killmyidea Input a startup idea, and Jev scores it from multiple angles, finally giving you KILL, FIX, or SHIP. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

Jev has been exploding in popularity recently. If you already have access to the Jev API but aren’t sure how to start experimenting with it, just copy this checklist: 1. agent-desktop Desktop automation. Read the system's accessibility tree, judge which button, menu, or input field to click next. 2. typesafe-mario Have Jev play Super Mario. No screenshots—just read the structured state in the emulator's RAM, then decide to run, jump, or dodge. 3. jev-drone Use Jev to control a drone. The underlying flight control still handles stability and safety; Jev just does higher-level judgments like climbing, braking, and navigating obstacles. 4. OneVOneJev 1v1 FPS in the browser. Every decision tick, judge movement, view angle, aiming, firing, and jumping. 5. jev-trader High-frequency market making on Monad testnet. Jev judges the next buy or sell based on spreads and trade direction, with model latency around 81ms. 6. Prism Doesn't directly have Jev place orders. It judges states like toxic flow, market pressure, mean reversion, etc., then hands off to the original strategy. 7. neo4jev Stuff Jev into a knowledge graph. At each node, judge the most worthwhile edge to take next, then follow it all the way. 8. jev-curate Use Jev to screen training data. For JSONL / Parquet, first judge quality, relevance, and risk, then decide which ones go into the next training round. 9. Canny Prevents Coding Agents from stubbornly claiming they're done. Look at tool outputs, code diffs, and test results, then judge if the completion claim is reliable. 10. killmyidea Input a startup idea, and Jev scores it from multiple angles, finally giving you KILL, FIX, or SHIP. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

rody

314,779 次观看 • 2 天前

Anthropic engineer: "You're not supposed to babysit the model. Put it in a graph, and it catches its own mistakes and runs a dozen tasks at once." In 25 minutes he breaks down exactly how Anthropic builds agents that run in parallel, check each other's work, and recover when one fails. Worth more than any paid course you'll find on building agents. Watch it, then read detailed guide on graph engineering below.

Anthropic engineer: "You're not supposed to babysit the model. Put it in a graph, and it catches its own mistakes and runs a dozen tasks at once." In 25 minutes he breaks down exactly how Anthropic builds agents that run in parallel, check each other's work, and recover when one fails. Worth more than any paid course you'll find on building agents. Watch it, then read detailed guide on graph engineering below.

Anatoli Kopadze

416,052 次观看 • 2 个月前

OpenAI engineer: "Nobody on my team has touched code in 9 months. Agents write all the code, the way you do it is harness engineering." In 45 minutes he breaks down exactly how to build the setup so agents do the full job without you in the loop. This beats any paid course on building agents I've seen. Watch it, then read the full guide on harness engineering below.

OpenAI engineer: "Nobody on my team has touched code in 9 months. Agents write all the code, the way you do it is harness engineering." In 45 minutes he breaks down exactly how to build the setup so agents do the full job without you in the loop. This beats any paid course on building agents I've seen. Watch it, then read the full guide on harness engineering below.

Anatoli Kopadze

25,222 次观看 • 1 个月前

Claude Code creator, Boris Cherny: "I'm not prompting my agents anymore. I'm building Loops that do it for me." In 10 minutes he explains how they do agentic engineering at Anthropic, and why they stopped prompting a long time ago. The one talk I'd send to every engineer I know Watch it, then read the full guide on Loops and Graphs below

Claude Code creator, Boris Cherny: "I'm not prompting my agents anymore. I'm building Loops that do it for me." In 10 minutes he explains how they do agentic engineering at Anthropic, and why they stopped prompting a long time ago. The one talk I'd send to every engineer I know Watch it, then read the full guide on Loops and Graphs below

Mahax

44,649 次观看 • 7 天前

I got a rubik's cube to solve itself with TypeSafe AI 's Jev and it solves it like a person does, 94 moves, not the 22 move optimal solution. Jev isn't an LLM, it just answers one question in ~250ms with a probability. so I put the beginner method in code (the one you'd learn on youtube: white cross, corners, middle layer, yellow layer) and at every step Jev just looks at the cube and picks which case it's in. code checks every pick. ~4 seconds of model time total. video is slowed down so you can read it!

I got a rubik's cube to solve itself with TypeSafe AI 's Jev and it solves it like a person does, 94 moves, not the 22 move optimal solution. Jev isn't an LLM, it just answers one question in ~250ms with a probability. so I put the beginner method in code (the one you'd learn on youtube: white cross, corners, middle layer, yellow layer) and at every step Jev just looks at the cube and picks which case it's in. code checks every pick. ~4 seconds of model time total. video is slowed down so you can read it!

Paolo Rosson

207,238 次观看 • 7 天前

Jev has been blowing up lately. If you've got the Jev API but don't know how to play around with it yet, you can just copy this checklist. 1. jev-ultrafast A high-speed browser Agent built with Browser Use. Jev only judges "what to do, which element to click" at each step, and only calls the small model when typing is needed. Searching for a flight on Google Flights takes about 7 seconds. 2. fast-jev-compaction Context compression for Claude Code. Before each tool call, have Jev judge if there's anything still useful; delete the useless stuff, and keep the original text without rewriting it. 3. json-render Vercel Labs' generative UI framework. In experiments, Jev doesn't write JSON token by token; it just handles selecting components, properties, and layouts. 4. typesafe-mcp Best for people who just got the API. Plug Jev into Claude Code, Claude Desktop, Codex, and Pi, and do Choice / Score / Noul anytime. 5. jev-mcp Ready-made Agent judgment toolkit: fact-checking, content screening, semantic ranking, classification, and information extraction. 6. SemDecide Turn Jev into a command-line tool. Directly classify, score, and filter in the Shell—great for hooking up to crawlers, CI, and data pipelines. 7. jev-codex-router First have Jev judge how hard this round of programming tasks is, then decide the model tier, reasoning depth, and speed mode. 8. Winnow Context garbage collection for Claude Code. When Read / Bash / Grep spits out a ton of stuff, Jev first judges which parts are really relevant to the current task. 9. jev-review Before code review, run it through Jev first to pick out high-risk changes, then hand them off to a pricier big model or a human. Comes with a local dashboard. 10. Blink Use Jev as a code repository navigator. At each directory level, judge which files are most relevant to the current issue, then keep digging down. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

Jev has been blowing up lately. If you've got the Jev API but don't know how to play around with it yet, you can just copy this checklist. 1. jev-ultrafast A high-speed browser Agent built with Browser Use. Jev only judges "what to do, which element to click" at each step, and only calls the small model when typing is needed. Searching for a flight on Google Flights takes about 7 seconds. 2. fast-jev-compaction Context compression for Claude Code. Before each tool call, have Jev judge if there's anything still useful; delete the useless stuff, and keep the original text without rewriting it. 3. json-render Vercel Labs' generative UI framework. In experiments, Jev doesn't write JSON token by token; it just handles selecting components, properties, and layouts. 4. typesafe-mcp Best for people who just got the API. Plug Jev into Claude Code, Claude Desktop, Codex, and Pi, and do Choice / Score / Noul anytime. 5. jev-mcp Ready-made Agent judgment toolkit: fact-checking, content screening, semantic ranking, classification, and information extraction. 6. SemDecide Turn Jev into a command-line tool. Directly classify, score, and filter in the Shell—great for hooking up to crawlers, CI, and data pipelines. 7. jev-codex-router First have Jev judge how hard this round of programming tasks is, then decide the model tier, reasoning depth, and speed mode. 8. Winnow Context garbage collection for Claude Code. When Read / Bash / Grep spits out a ton of stuff, Jev first judges which parts are really relevant to the current task. 9. jev-review Before code review, run it through Jev first to pick out high-risk changes, then hand them off to a pricier big model or a human. Comes with a local dashboard. 10. Blink Use Jev as a code repository navigator. At each directory level, judge which files are most relevant to the current issue, then keep digging down. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

rody

194,422 次观看 • 3 天前

Andrej Karpathy: "prompting is going away, delete everything and keep the graph." in 1 hour he breaks down how to build graphs from scratch, make your agents work and improve themselves. not the newest session, but still one of the best you can find. watch it, then read the full guide on graphs below.

Andrej Karpathy: "prompting is going away, delete everything and keep the graph." in 1 hour he breaks down how to build graphs from scratch, make your agents work and improve themselves. not the newest session, but still one of the best you can find. watch it, then read the full guide on graphs below.

Anatoli Kopadze

305,645 次观看 • 25 天前

TyperSafe Founder, Diogo Almeida just gave the best 2-hour breakdown on how to actually master Jev, from 0% to 100%: • 10% → 21:43 - building an eval for your own workflow with JEV • 30% → 55:49 - choice, score, noul - new types of code mapping with JEV • 55% → 1:12:36 - cascade: confident answers ship, uncertain ones go to a bigger model • 80% → 1:37:12 - JEV use cases: dark data, real-time calls, verifying every LLM in your stack • 100% → 2:11:50 - building coding agents with JEV this is worth more than another $500 course on building agents with Claude watch it today - then read the full Jev playbook below

TyperSafe Founder, Diogo Almeida just gave the best 2-hour breakdown on how to actually master Jev, from 0% to 100%: • 10% → 21:43 - building an eval for your own workflow with JEV • 30% → 55:49 - choice, score, noul - new types of code mapping with JEV • 55% → 1:12:36 - cascade: confident answers ship, uncertain ones go to a bigger model • 80% → 1:37:12 - JEV use cases: dark data, real-time calls, verifying every LLM in your stack • 100% → 2:11:50 - building coding agents with JEV this is worth more than another $500 course on building agents with Claude watch it today - then read the full Jev playbook below

Codez

74,324 次观看 • 2 天前