Matthew Berman's banner

Matthew Berman

@MatthewBerman • 150,964 subscribers

The future is bright.

Shorts

Astra (GPT-6) is here!!! I've had early access and tested it like crazy with things like games, code, writing, browser control, presentations and general knowledge work. This is the best model I've ever used. Period. (Incredible demos below in this thread ⬇️) Here's my take on Astra: > It's insanely capable. This feels like a massive improvement, not just an incremental change. This is especially true with zero-shot prompts. > It's all about knowledge work. Slide creation, analysis, writing, and browser control. And oh my...it's so good at browser control. GPT-5.6 was already fantastic at doing things in the browser, Astra is another level and significantly faster. > We're closer than ever (arrived?) at prompt-to-playable game. And I don't just mean only playable, these are actually fun games. I bet if someone with a great eye for games used Astra, they could create a viral game within 1-2 weeks. > Astra is better at writing but not perfect. It removes much of the "AI Smell" we're all familiar with but some stink still survived. > It has a tendency to use the same design colors and look/feel as GPT-5.6 (forrest green anyone?) but it is more steerable in design than previous models. > It's highly steerable in general. A little nudge goes a long way. When I first started using Astra, almost every task I gave it would go for ~30 minutes. I wanted it to keep working. Adding more specifics to a prompt helped greatly with it's ability to work for a long time. > Astra's 3D understanding is unmatched. 3D asset creation was consistent and easy and its spacial awareness while building complex 3D worlds blew me away. I'm still getting familiar with Astra but this will now be my go-to model for any difficult work I have. Check out the demos below: 👇

Astra (GPT-6) is here!!! I've had early access and tested it like crazy with things like games, code, writing, browser control, presentations and general knowledge work. This is the best model I've ever used. Period. (Incredible demos below in this thread ⬇️) Here's my take on Astra: > It's insanely capable. This feels like a massive improvement, not just an incremental change. This is especially true with zero-shot prompts. > It's all about knowledge work. Slide creation, analysis, writing, and browser control. And oh my...it's so good at browser control. GPT-5.6 was already fantastic at doing things in the browser, Astra is another level and significantly faster. > We're closer than ever (arrived?) at prompt-to-playable game. And I don't just mean only playable, these are actually fun games. I bet if someone with a great eye for games used Astra, they could create a viral game within 1-2 weeks. > Astra is better at writing but not perfect. It removes much of the "AI Smell" we're all familiar with but some stink still survived. > It has a tendency to use the same design colors and look/feel as GPT-5.6 (forrest green anyone?) but it is more steerable in design than previous models. > It's highly steerable in general. A little nudge goes a long way. When I first started using Astra, almost every task I gave it would go for ~30 minutes. I wanted it to keep working. Adding more specifics to a prompt helped greatly with it's ability to work for a long time. > Astra's 3D understanding is unmatched. 3D asset creation was consistent and easy and its spacial awareness while building complex 3D worlds blew me away. I'm still getting familiar with Astra but this will now be my go-to model for any difficult work I have. Check out the demos below: 👇

1,909,393 次观看

6.1 Sol!! Astra but cheaper and faster. Post training is solved.

6.1 Sol!! Astra but cheaper and faster. Post training is solved.

115,307 次观看

Ok this is insane. Scene from the original Halo game. Includes what seems like 100% accurate sound effects.

Ok this is insane. Scene from the original Halo game. Includes what seems like 100% accurate sound effects.

1,333,032 次观看

But can Sora write code? "have someone explain how to write python code on a black board that outputs "hello world""

But can Sora write code? "have someone explain how to write python code on a black board that outputs "hello world""

377,845 次观看

Major AI breakthrough: Diffusion Large Language Models are here! They're 10x faster and 10x cheaper than traditional LLMs. Here's everything you need to know:

Major AI breakthrough: Diffusion Large Language Models are here! They're 10x faster and 10x cheaper than traditional LLMs. Here's everything you need to know:

429,249 次观看

You can use Michael Jackson's likeness...for now.

You can use Michael Jackson's likeness...for now.

99,674 次观看

Sora 2 Pro is even better at coding.

Sora 2 Pro is even better at coding.

98,134 次观看

I did the thing to the robot NVIDIA AI PC Check out behind the scenes content on my IG: matthewberman_ai

I did the thing to the robot NVIDIA AI PC Check out behind the scenes content on my IG: matthewberman_ai

32,533 次观看

Videos

Anya Rossi

sweetdream.ai

SweetDream.ai•Sponsored•Livecam

Watch Anya Live

Anya is streaming live right now! Join her private show and enjoy exclusive content.

Exclusive private shows

1.2k viewers online

Private Show

Join now for exclusive access

Free preview available • Premium content

Reverse engineer everything. Watch this 👇

Reverse engineer everything. Watch this 👇

438,332 次观看 • 7 天前

My full interview with Tibo (Tibo) 0:45 Tibo's Lessons from Google DeepMind 4:22 Building OpenAI’s Relentless Culture 7:23 Astra & Next Gen Models 11:18 How Fast AI Changes Developer Workflows 14:27 ChatGPT & Codex Merging 20:25 OpenAI vs. Anthropic 23:37 Why OpenAI Keeps Resetting Limits 30:25 Recursive Self-Improvement 32:00 Dangers That Caused "The Pause" 34:13 Will Ultra Fast Become the Default? 43:20 Why Everyone Needs to Try AI

My full interview with Tibo (Tibo) 0:45 Tibo's Lessons from Google DeepMind 4:22 Building OpenAI’s Relentless Culture 7:23 Astra & Next Gen Models 11:18 How Fast AI Changes Developer Workflows 14:27 ChatGPT & Codex Merging 20:25 OpenAI vs. Anthropic 23:37 Why OpenAI Keeps Resetting Limits 30:25 Recursive Self-Improvement 32:00 Dangers That Caused "The Pause" 34:13 Will Ultra Fast Become the Default? 43:20 Why Everyone Needs to Try AI

2,517,435 次观看 • 1 个月前

Grok Bot brings coding agent to a mainstream audience without being intimidating. THERE'S NO MODEL SELECTOR! Here's a breakdown: 0:00 Intro 0:15 Unique UI 2:03 Creating Agents 3:57 Cloud OS 5:36 Agent Interactions 7:16 Computer use 9:27 My Thoughts 11:23 UI (cont.) 12:28 Routines 13:36 Tasks

Grok Bot brings coding agent to a mainstream audience without being intimidating. THERE'S NO MODEL SELECTOR! Here's a breakdown: 0:00 Intro 0:15 Unique UI 2:03 Creating Agents 3:57 Cloud OS 5:36 Agent Interactions 7:16 Computer use 9:27 My Thoughts 11:23 UI (cont.) 12:28 Routines 13:36 Tasks

2,368,793 次观看 • 2 个月前

Live reset captured!!!

Live reset captured!!!

356,304 次观看 • 18 天前

Grok Grok Bot is a personal AI agent for the mass market. These are the use cases I'm using it for today AND how to connect it to Telegram: 1. Getting to inbox zero (I don't look at emails anymore) 2. Scheduling events and looking for meeting conflicts 3. DMV registration, Amazon returns, doctor appointments 4. Reading and organizing emails I get from my kids' schools 5. Cleaning my computer from stale and bloated files. 6. Summarizing and creating action items from meetings Plus, the Cursor team showed me how they're using Grok Bot to manage Cursor Agents now! 🖥️ 👀 Watch the video here:

Grok Grok Bot is a personal AI agent for the mass market. These are the use cases I'm using it for today AND how to connect it to Telegram: 1. Getting to inbox zero (I don't look at emails anymore) 2. Scheduling events and looking for meeting conflicts 3. DMV registration, Amazon returns, doctor appointments 4. Reading and organizing emails I get from my kids' schools 5. Cleaning my computer from stale and bloated files. 6. Summarizing and creating action items from meetings Plus, the Cursor team showed me how they're using Grok Bot to manage Cursor Agents now! 🖥️ 👀 Watch the video here:

1,127,482 次观看 • 1 个月前

Sonnet 5.5 basically Opus 5.5 but 50% cheaper and much faster. I've been early testing it and it's incredible. If this is pacing the frontier, sign me up. Demos down below 👇 3D simulation is solved:

Sonnet 5.5 basically Opus 5.5 but 50% cheaper and much faster. I've been early testing it and it's incredible. If this is pacing the frontier, sign me up. Demos down below 👇 3D simulation is solved:

281,566 次观看 • 19 天前

I had Opus 5.5 recreate the city of San Francisco in Unreal Engine. I powered everything in it (people, pets, cars, traffic, literally everything) with Jev.

I had Opus 5.5 recreate the city of San Francisco in Unreal Engine. I powered everything in it (people, pets, cars, traffic, literally everything) with Jev.

373,323 次观看 • 25 天前

I've spent 2.54 BILLION tokens perfecting OpenClaw. The use cases I discovered have changed the way I live and work. ...and now I'm sharing them with the world. Here are 21 use cases I use daily: 0:00 Intro 0:50 What is OpenClaw? 1:35 MD Files 2:14 Memory System 3:55 CRM System 7:19 Fathom Pipeline 9:18 Meeting to Action Items 10:46 Knowledge Base System 13:51 X Ingestion Pipeline 14:31 Business Advisory Council 16:13 Security Council 18:21 Social Media Tracking 19:18 Video Idea Pipeline 21:40 Daily Briefing Flow 22:23 Three Councils 22:57 Automation Schedule 24:15 Security Layers 26:09 Databases and Backups 28:00 Video/Image Gen 29:14 Self Updates 29:56 Usage & Cost Tracking 30:15 Prompt Engineering 31:15 Developer Infrastructure 32:06 Food Journal

I've spent 2.54 BILLION tokens perfecting OpenClaw. The use cases I discovered have changed the way I live and work. ...and now I'm sharing them with the world. Here are 21 use cases I use daily: 0:00 Intro 0:50 What is OpenClaw? 1:35 MD Files 2:14 Memory System 3:55 CRM System 7:19 Fathom Pipeline 9:18 Meeting to Action Items 10:46 Knowledge Base System 13:51 X Ingestion Pipeline 14:31 Business Advisory Council 16:13 Security Council 18:21 Social Media Tracking 19:18 Video Idea Pipeline 21:40 Daily Briefing Flow 22:23 Three Councils 22:57 Automation Schedule 24:15 Security Layers 26:09 Databases and Backups 28:00 Video/Image Gen 29:14 Self Updates 29:56 Usage & Cost Tracking 30:15 Prompt Engineering 31:15 Developer Infrastructure 32:06 Food Journal

3,381,503 次观看 • 8 个月前

Tibo (Tibo): "Codex will seem primitive in 2-3 months. The next generation of models need more than your laptop." I asked him about this:

Tibo (Tibo): "Codex will seem primitive in 2-3 months. The next generation of models need more than your laptop." I asked him about this:

612,783 次观看 • 1 个月前

Astra's understanding of 3D assets and spacial awareness is beyond anything else.

Astra's understanding of 3D assets and spacial awareness is beyond anything else.

400,805 次观看 • 1 个月前

I'm one of the most advanced users of OpenClaw. OpenClaw + GPT5.3 Codex + Opus 4.6 has been the trifecta that changed everything. I made a video going over everything I'm doing with these tools. Learn these tools, stay ahead. Watch this video right now. 0:00 Intro 1:02 Overview 4:17 Sponsor 5:12 Personal CRM 7:11 Knowledge Base 8:30 Video Idea Pipeline 11:09 Twitter/X Search 12:47 Analytics Tracker 13:33 Data Review 15:34 HubSpot 16:13 Humanizer 16:52 Image/Video Generation 18:22 To-Do List 19:37 Usage Tracker (Saves Money) 20:45 Services 21:25 Automations 22:42 Backup 23:30 Memory 24:06 Building OpenClaw 25:22 Updating Files

I'm one of the most advanced users of OpenClaw. OpenClaw + GPT5.3 Codex + Opus 4.6 has been the trifecta that changed everything. I made a video going over everything I'm doing with these tools. Learn these tools, stay ahead. Watch this video right now. 0:00 Intro 1:02 Overview 4:17 Sponsor 5:12 Personal CRM 7:11 Knowledge Base 8:30 Video Idea Pipeline 11:09 Twitter/X Search 12:47 Analytics Tracker 13:33 Data Review 15:34 HubSpot 16:13 Humanizer 16:52 Image/Video Generation 18:22 To-Do List 19:37 Usage Tracker (Saves Money) 20:45 Services 21:25 Automations 22:42 Backup 23:30 Memory 24:06 Building OpenClaw 25:22 Updating Files

2,486,773 次观看 • 8 个月前

I'm not a doomer but I'm nervous.

I'm not a doomer but I'm nervous.

283,964 次观看 • 1 个月前

Truly one of the most insane demos I've ever seen. Here's another video of the 3D ocean simulator.

Truly one of the most insane demos I've ever seen. Here's another video of the 3D ocean simulator.

105,739 次观看 • 19 天前

"We think that with AI we can replace all of our Jr developers in our company" AWS CEO Matt Garman: "That's the dumbest thing I've ever heard"

"We think that with AI we can replace all of our Jr developers in our company" AWS CEO Matt Garman: "That's the dumbest thing I've ever heard"

698,999 次观看 • 4 个月前

We need to talk about Jev

We need to talk about Jev

140,283 次观看 • 29 天前

5 BILLION tokens later, OpenClaw is now my company's operating system. I discovered things most people never will. (PS I solved the Anthropic OAuth loophole.) Here’s exactly how it works. 0:00 Intro 0:16 Email Management 5:20 Sponsor 7:02 Inbox Pipeline 9:05 Multiple Prompt Versions (HUGE) 12:28 MD File Breakdown 14:12 Telegram Groups 14:51 CRM System 17:25 Meeting Intelligence 18:45 Knowledge Base 20:51 Content Pipeline 21:53 Security (HUGE) 24:49 Cron Jobs 26:05 Memory 27:55 Notification Batching 28:59 Financial Tracking 29:40 Usage & Cost Tracking 31:01 Full Logging Infrastructure 31:52 OAuth Loophole (HUGE) 32:55 Separating Personal/Work 34:29 Errors & Self-Improvement 35:59 Cost Savings 37:09 Backup & Recovery 37:52 Health Pipeline 38:30 Bee Memory

5 BILLION tokens later, OpenClaw is now my company's operating system. I discovered things most people never will. (PS I solved the Anthropic OAuth loophole.) Here’s exactly how it works. 0:00 Intro 0:16 Email Management 5:20 Sponsor 7:02 Inbox Pipeline 9:05 Multiple Prompt Versions (HUGE) 12:28 MD File Breakdown 14:12 Telegram Groups 14:51 CRM System 17:25 Meeting Intelligence 18:45 Knowledge Base 20:51 Content Pipeline 21:53 Security (HUGE) 24:49 Cron Jobs 26:05 Memory 27:55 Notification Batching 28:59 Financial Tracking 29:40 Usage & Cost Tracking 31:01 Full Logging Infrastructure 31:52 OAuth Loophole (HUGE) 32:55 Separating Personal/Work 34:29 Errors & Self-Improvement 35:59 Cost Savings 37:09 Backup & Recovery 37:52 Health Pipeline 38:30 Bee Memory

1,141,467 次观看 • 7 个月前

Moltbots/Clawdbots now have their own social network (moltbook) and it's wild. This is the first time I'm a little scared... You need to watch this.

Moltbots/Clawdbots now have their own social network (moltbook) and it's wild. This is the first time I'm a little scared... You need to watch this.

1,182,018 次观看 • 8 个月前

We're now in a world of prompt-to-playable games. I didn't think this would happen so soon. This game took 2 prompts and is actually fun the play. Fall guys clone.

We're now in a world of prompt-to-playable games. I didn't think this would happen so soon. This game took 2 prompts and is actually fun the play. Fall guys clone.

194,652 次观看 • 1 个月前

Gemini 4 is HERE. I've been testing it for about a week and Google is definitely BACK. Here's a 3D Rube Goldberg machine:

Gemini 4 is HERE. I've been testing it for about a week and Google is definitely BACK. Here's a 3D Rube Goldberg machine:

21,318 次观看 • 4 天前

Every AI lab is starving for compute. Except Google. I spoke with Thomas Kurian, Google Cloud's CEO, to understand why Google doesn't just hoard compute before AGI, their relationship with Anthropic, and that viral tweet about Google's engineering culture. Watch now: 0:00 – Intro 0:42 – Google's Insane Compute Capacity 03:17 – TPU Monetization 05:24 – Why Google Doesn't Hoard Compute? 08:02 – Datacenter Buildout 15:01 - Does AGI Mean Job Displacement? 17:55 - NVIDIA vs TPU (Total Cost of Ownership) 23:25 - 8th Gen TPU 24:32 - Training vs. Inference 30:53 - Google's "Extreme Co-design" 35:01 - Working with Anthropic 37:46 - Serving Mythos-sized Models (10T) 41:42 - Google engineering culture (Steve Yagge tweet) 48:27 - Cybersecurity 51:50 - What keeps Thomas up at night?

Every AI lab is starving for compute. Except Google. I spoke with Thomas Kurian, Google Cloud's CEO, to understand why Google doesn't just hoard compute before AGI, their relationship with Anthropic, and that viral tweet about Google's engineering culture. Watch now: 0:00 – Intro 0:42 – Google's Insane Compute Capacity 03:17 – TPU Monetization 05:24 – Why Google Doesn't Hoard Compute? 08:02 – Datacenter Buildout 15:01 - Does AGI Mean Job Displacement? 17:55 - NVIDIA vs TPU (Total Cost of Ownership) 23:25 - 8th Gen TPU 24:32 - Training vs. Inference 30:53 - Google's "Extreme Co-design" 35:01 - Working with Anthropic 37:46 - Serving Mythos-sized Models (10T) 41:42 - Google engineering culture (Steve Yagge tweet) 48:27 - Cybersecurity 51:50 - What keeps Thomas up at night?

517,916 次观看 • 5 个月前