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Shatta Wale unveiling turns into disaster 🙆🏽😂 #ComedyExpressJuly7 #LookLalikesEdition #BookYourtickets Ticket code *713*33*55#

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DKB GHANA

425,963 subscribers

216,731 görüntüleme • 3 yıl önce •via X (Twitter)

#ComedyExpressJuly7#LookLalikesEdition#BookYourtickets
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Eiii Highest Eri so this is how you’ve turned out dancehall king into? Eri you did this to Shatta wale? You don’t respect kraa 🤦‍♀️ 😂😂😂😂
4:10

Eiii Highest Eri so this is how you’ve turned out dancehall king into? Eri you did this to Shatta wale? You don’t respect kraa 🤦‍♀️ 😂😂😂😂

CHARLOTTE NICOLE 🕊

71,019 görüntüleme • 8 ay önce

i cant believe a shatta wale fan bought ticket just to come and video empty seats at 7pm went back home to post and never came back now who is in pains!😂
0:29

i cant believe a shatta wale fan bought ticket just to come and video empty seats at 7pm went back home to post and never came back now who is in pains!😂

NeKTA🦁

12,450 görüntüleme • 5 ay önce

This song de3 Shatta Wale really do am oo Herrrh MAALI😮‍💨😂🔥 No wonder its one of Vybz Kartel’s favourites😂✊🏽 Even if Shatta Wale walks into a studio and leaves without recording a single note, I'd still download the audio of his footsteps cos he’s too good🙇🏽‍♂️🙌🏽👑 #MaaliAlbum
1:50

This song de3 Shatta Wale really do am oo Herrrh MAALI😮‍💨😂🔥 No wonder its one of Vybz Kartel’s favourites😂✊🏽 Even if Shatta Wale walks into a studio and leaves without recording a single note, I'd still download the audio of his footsteps cos he’s too good🙇🏽‍♂️🙌🏽👑 #MaaliAlbum

Ray-Ankrah

34,737 görüntüleme • 1 yıl önce

Sarkodie and Shatta Wale are real fathers of the game. They’ve seen betrayal, insults, trolling and still move like kings without turning every criticism into a police case or emotional war. That level of understanding and maturity can never be bought. Some people small pressure, then friendships end, calls stop, police invitations start flying around 😭😂. ShattaSark ❤️
1:57

Sarkodie and Shatta Wale are real fathers of the game. They’ve seen betrayal, insults, trolling and still move like kings without turning every criticism into a police case or emotional war. That level of understanding and maturity can never be bought. Some people small pressure, then friendships end, calls stop, police invitations start flying around 😭😂. ShattaSark ❤️

90 DEGREES 🌍

57,984 görüntüleme • 3 ay önce

Today we're introducing Web Skill Factory: a pipeline that turns solved web tasks into reusable, verified code. Most agent "skills" are notes a model rereads and reinterprets every run. Ours are programs. On a WebArena subset with gpt-5.4, reusing the library moved accuracy on held-out instances from 55% to 70%, and cut average steps from 17.1 to 14.7.
2:22

Today we're introducing Web Skill Factory: a pipeline that turns solved web tasks into reusable, verified code. Most agent "skills" are notes a model rereads and reinterprets every run. Ours are programs. On a WebArena subset with gpt-5.4, reusing the library moved accuracy on held-out instances from 55% to 70%, and cut average steps from 17.1 to 14.7.

Microsoft AI Frontiers

14,170 görüntüleme • 9 gün önce

🚨 THEY FINALLY DID IT. THEY PUT CLAUDE INTO JIRA. Atlassian Jira isn’t the shiny new thing. but that’s exactly why this matters. Millions of devs live in Jira every day because it’s the ultimate source of truth. The new Claude Agent integration turns Jira from the place where work is tracked into the place where work gets delegated. I tested it, and the workflow is SO simple: > you assign a Jira work item to Claude > Claude reads the full ticket context > it implements changes in a secure sandbox > it opens a draft PR for your team to review ✅ Voilà! Ticket assigned. Code written. PR opened. That means far less time managing tickets → more time shipping 💥
0:32

🚨 THEY FINALLY DID IT. THEY PUT CLAUDE INTO JIRA. Atlassian Jira isn’t the shiny new thing. but that’s exactly why this matters. Millions of devs live in Jira every day because it’s the ultimate source of truth. The new Claude Agent integration turns Jira from the place where work is tracked into the place where work gets delegated. I tested it, and the workflow is SO simple: > you assign a Jira work item to Claude > Claude reads the full ticket context > it implements changes in a secure sandbox > it opens a draft PR for your team to review ✅ Voilà! Ticket assigned. Code written. PR opened. That means far less time managing tickets → more time shipping 💥

Charly Wargnier

28,439 görüntüleme • 1 ay önce

On a Normal Day, As a Fan Of “Hardcore Dancehall” You’d listen to this style of Dancehall And Be Like WOW! This is Baarrrdd!🔥🔥 There’s No Way A Real Dancehall Fan Would Listen To This Vybz Kartel’s Version On The WYFL Riddim and tag it As a “Wack” Song, Unless You’ll listened to this Song with Fanatical Eardrum and Judge it base on political sentiments and emotions, Because of HATR£D… Some are Just Saying Vybz Kartel Flopped On the WYFL Riddim Because of his Relationship with “Shatta Wale” 😂😂 They’re Just Propagating Their own Narrative against Kartel because Vybz kartel is a Big Fan of Shatta Wale🤣 Some Haven’t even listened to the Song, But they’re “Following The Crowd” to Pass Silly Comments On The Song😂 All Because Vybz Kartel Didn’t Choose their Favorite 😂 The Truth is, If Vybz Kartel Divide his Career into 10 Pieces, Stonebwoy Won’t Touch One! If we Give Stonebwoy 1000 years, He still Won’t Reach Vybz Kartel’s Level on any stage of WORLD MUSIC! It’s even a Sin Before God to Mention Vybz Kartel and Stonebwoy in the Same Bracket in terms of Anything Relating to MUSIC! You Haters know this deep within your Hypocrisy ¥$$! Someone Who Dey Write Song Give Beyoncé, you Dey come Compare who to am?? Stonebwoy?? E Dey Be Iike The Hate You people get for Shatta Wale Dey Eat up your Brain Cells… “Puutu” Seff You People Dey hail am.. MMMOOOAAAAAA!!!!
1:07

On a Normal Day, As a Fan Of “Hardcore Dancehall” You’d listen to this style of Dancehall And Be Like WOW! This is Baarrrdd!🔥🔥 There’s No Way A Real Dancehall Fan Would Listen To This Vybz Kartel’s Version On The WYFL Riddim and tag it As a “Wack” Song, Unless You’ll listened to this Song with Fanatical Eardrum and Judge it base on political sentiments and emotions, Because of HATR£D… Some are Just Saying Vybz Kartel Flopped On the WYFL Riddim Because of his Relationship with “Shatta Wale” 😂😂 They’re Just Propagating Their own Narrative against Kartel because Vybz kartel is a Big Fan of Shatta Wale🤣 Some Haven’t even listened to the Song, But they’re “Following The Crowd” to Pass Silly Comments On The Song😂 All Because Vybz Kartel Didn’t Choose their Favorite 😂 The Truth is, If Vybz Kartel Divide his Career into 10 Pieces, Stonebwoy Won’t Touch One! If we Give Stonebwoy 1000 years, He still Won’t Reach Vybz Kartel’s Level on any stage of WORLD MUSIC! It’s even a Sin Before God to Mention Vybz Kartel and Stonebwoy in the Same Bracket in terms of Anything Relating to MUSIC! You Haters know this deep within your Hypocrisy ¥$$! Someone Who Dey Write Song Give Beyoncé, you Dey come Compare who to am?? Stonebwoy?? E Dey Be Iike The Hate You people get for Shatta Wale Dey Eat up your Brain Cells… “Puutu” Seff You People Dey hail am.. MMMOOOAAAAAA!!!!

Shadrack Amonoo Crabe 👁‍🗨

13,376 görüntüleme • 6 ay önce

💥NEW AI CODING TUTORIAL: 12 Months of Claude Code Lessons in 46 Minutes Claude Code just turned 1. So here's 52 lessons on how to get the most out of Claude Code, organized into 3 levels: Beginner, Intermediate, and Master. TIMESTAMPS 00:00 12 Months of building with Claude Code 02:01 LEVEL 1: Beginner 02:09 Installation and Setup 04:55 Models and Modes 09:04 CLAUDE.md (and what to put in) 10:30 Context Management 11:31 Debugging with Claude 12:22 Version control 14:12 Prompting, Just ask Claude 16:01 LEVEL 2: Intermediate 16:24 Customizations (Skills, Plugins, MCPs) 24:42 Workflows: Plan, Build, Test 29:52 Verifying and Documenting with Claude 33:10 LEVEL 3: Master 34:17 Multi-Agent Development (multi-clauding with git worktrees) 37:07 Self-improving Systems 38:45 Ralph Wiggum Agent Loops 40:11 Async Task Delegation 42:00 Agent Teams, Pre-configure permissions, Hooks 44:42 Continue your learning
45:47

💥NEW AI CODING TUTORIAL: 12 Months of Claude Code Lessons in 46 Minutes Claude Code just turned 1. So here's 52 lessons on how to get the most out of Claude Code, organized into 3 levels: Beginner, Intermediate, and Master. TIMESTAMPS 00:00 12 Months of building with Claude Code 02:01 LEVEL 1: Beginner 02:09 Installation and Setup 04:55 Models and Modes 09:04 CLAUDE.md (and what to put in) 10:30 Context Management 11:31 Debugging with Claude 12:22 Version control 14:12 Prompting, Just ask Claude 16:01 LEVEL 2: Intermediate 16:24 Customizations (Skills, Plugins, MCPs) 24:42 Workflows: Plan, Build, Test 29:52 Verifying and Documenting with Claude 33:10 LEVEL 3: Master 34:17 Multi-Agent Development (multi-clauding with git worktrees) 37:07 Self-improving Systems 38:45 Ralph Wiggum Agent Loops 40:11 Async Task Delegation 42:00 Agent Teams, Pre-configure permissions, Hooks 44:42 Continue your learning

Avthar

62,263 görüntüleme • 5 ay önce

A DEVELOPER WHO HELPS MAINTAIN GIT ITSELF PROVED THAT USING GIT AND CONTRIBUTING WITH GIT ARE TWO DIFFERENT SKILLS AND ALMOST NO ONE LEARNS THE SECOND 55 minutes from Johannes Schindelin, one of git's most prolific contributors, on the workflow that gets your code accepted into a project you don't own. -> The moment it lands, committing to your own repo turns out to be the easy 10%. Landing a change in someone else's codebase is the part nobody taught you. Most people can save their own work. Far fewer can revise a patch five times, keep the history clean, and merge it into a project moving under them. Saving your code was never the skill -> getting it merged into someone else's is. And when an AI agent fires off a pull request nobody asked for, the person who knows how to really contribute is the one who gets it accepted instead of closed. Anyone can commit to their own repo. The person who can land a change in a project they don't own is the one who actually ships. Bookmark & Watch it today ↓
55:43

A DEVELOPER WHO HELPS MAINTAIN GIT ITSELF PROVED THAT USING GIT AND CONTRIBUTING WITH GIT ARE TWO DIFFERENT SKILLS AND ALMOST NO ONE LEARNS THE SECOND 55 minutes from Johannes Schindelin, one of git's most prolific contributors, on the workflow that gets your code accepted into a project you don't own. -> The moment it lands, committing to your own repo turns out to be the easy 10%. Landing a change in someone else's codebase is the part nobody taught you. Most people can save their own work. Far fewer can revise a patch five times, keep the history clean, and merge it into a project moving under them. Saving your code was never the skill -> getting it merged into someone else's is. And when an AI agent fires off a pull request nobody asked for, the person who knows how to really contribute is the one who gets it accepted instead of closed. Anyone can commit to their own repo. The person who can land a change in a project they don't own is the one who actually ships. Bookmark & Watch it today ↓

slash1s

12,750 görüntüleme • 2 ay önce

THIS GUY AUDITED 926 CLAUDE CODE SESSIONS AND FOUND MOST OF THE TOKEN WASTE WAS ON HIS SIDE everyone is blaming anthropic for the limits, so he decided to actually look at the data 858 sessions, 18,903 turns, and $1,619 estimated spend across 33 days here's what he found: 1\ one default setting was burning 14,000 tokens per turn Claude Code loads the full JSON schema for every tool into context at session start. whether you use them or not. 20,000 tokens of tool definitions sitting there on every single turn. the fix: one line in your settings.json "ENABLE_TOOL_SEARCH": "true" context dropped from 45K to 20K instantly. across 858 sessions that one setting was wasting an estimated 264 million tokens 2\ cache expiry is the single biggest waste 54% of his turns came after a 5+ minute idle gap. every one of those turns re-processed the entire conversation at full price which caused a 10x cost jump you go grab coffee. come back 5 minutes later. type your next message. everything rebuilds from scratch. the context didn't change. you didn't change. the cache just expired. 12.3 million tokens wasted on idle gaps alone 3\ 42 skills loaded. 19 of them used twice or less across 858 sessions. every one of those skill schemas sat in context on every turn eating tokens for nothing. 4\ 1,122 redundant file reads where the same file was read 3+ times one session read the same file 33 times. he ALSO built a full token auditor dashboard that shows you exactly where your waste is coming from 19 charts, opens in your browser, free AND open source
0:20

THIS GUY AUDITED 926 CLAUDE CODE SESSIONS AND FOUND MOST OF THE TOKEN WASTE WAS ON HIS SIDE everyone is blaming anthropic for the limits, so he decided to actually look at the data 858 sessions, 18,903 turns, and $1,619 estimated spend across 33 days here's what he found: 1\ one default setting was burning 14,000 tokens per turn Claude Code loads the full JSON schema for every tool into context at session start. whether you use them or not. 20,000 tokens of tool definitions sitting there on every single turn. the fix: one line in your settings.json "ENABLE_TOOL_SEARCH": "true" context dropped from 45K to 20K instantly. across 858 sessions that one setting was wasting an estimated 264 million tokens 2\ cache expiry is the single biggest waste 54% of his turns came after a 5+ minute idle gap. every one of those turns re-processed the entire conversation at full price which caused a 10x cost jump you go grab coffee. come back 5 minutes later. type your next message. everything rebuilds from scratch. the context didn't change. you didn't change. the cache just expired. 12.3 million tokens wasted on idle gaps alone 3\ 42 skills loaded. 19 of them used twice or less across 858 sessions. every one of those skill schemas sat in context on every turn eating tokens for nothing. 4\ 1,122 redundant file reads where the same file was read 3+ times one session read the same file 33 times. he ALSO built a full token auditor dashboard that shows you exactly where your waste is coming from 19 charts, opens in your browser, free AND open source

Om Patel

298,746 görüntüleme • 4 ay önce

Using the 6 best Vibe Coding Tools AT THE SAME TIME Without writing a single line of code @lovable_dev - Landing Page bolt.new - Writing App w/ AI chat Replit ⠕ - To-Do List App Cursor - AI Image Tool (figma + ai gen) @windsurf - Perplexity v0 - Portfolio I didn't have a plan beyond this. I just wanted to know what it felt like to vibe code using 6 tools at once. This is simply an exploration. (This is not a tutorial lol) ------------------------------- 00:00 Intro / Plan 00:46 First Prompt for 6 apps 03:20 Most of "Coding" was already copy and paste 10:48 Start Round 2 (Prompt 2) 15:41 Round 3 Prompting 27:42 "The chicken that i generated" 28:30 "Its fine we're creating 6 projects at once" 29:43 "Gotta Leave one Booyah in There" 33:55 "You Know what Lovable, Respect, it looks horrid, but you're on the right track" 35:51 "Bolt, Don't exactly listen to me, but like, mostly listen to me" 39:12 "v0 we're in it, you know it's not horrible, it's bad" 40:47 Bolt, you dawg!!! well done 43:39 Windsurf Web Search is Working! 50:29 Downloading v0 as zip and putting into cursor 55:14 What I made in this session
59:21

Using the 6 best Vibe Coding Tools AT THE SAME TIME Without writing a single line of code @lovable_dev - Landing Page bolt.new - Writing App w/ AI chat Replit ⠕ - To-Do List App Cursor - AI Image Tool (figma + ai gen) @windsurf - Perplexity v0 - Portfolio I didn't have a plan beyond this. I just wanted to know what it felt like to vibe code using 6 tools at once. This is simply an exploration. (This is not a tutorial lol) ------------------------------- 00:00 Intro / Plan 00:46 First Prompt for 6 apps 03:20 Most of "Coding" was already copy and paste 10:48 Start Round 2 (Prompt 2) 15:41 Round 3 Prompting 27:42 "The chicken that i generated" 28:30 "Its fine we're creating 6 projects at once" 29:43 "Gotta Leave one Booyah in There" 33:55 "You Know what Lovable, Respect, it looks horrid, but you're on the right track" 35:51 "Bolt, Don't exactly listen to me, but like, mostly listen to me" 39:12 "v0 we're in it, you know it's not horrible, it's bad" 40:47 Bolt, you dawg!!! well done 43:39 Windsurf Web Search is Working! 50:29 Downloading v0 as zip and putting into cursor 55:14 What I made in this session

Riley Brown

79,821 görüntüleme • 1 yıl önce

"Projects like the New Deal, the Apollo program pale in comparison to what we're doing right now." 🆕 Greg Brockman (Greg Brockman) joins us to talk GPT-5, GPT-OSS, and what's next on OpenAI's road to crystallizing all of human intelligence! “Energy turns into compute, turns into intelligence… crystallizing compute into potential energy you can release again and again.” 0:00:04 - Introductions 0:01:04 - The Evolution of Reasoning at OpenAI 0:04:01 - Online vs Offline Learning in Language Models 0:06:44 - Sample Efficiency and Human Curation in Reinforcement Learning 0:08:16 - Scaling Compute and Supercritical Learning 0:13:21 - Wall clock time limitations in RL and real-world interactions 0:16:34 - Experience with ARC Institute and DNA neural networks 0:19:33 - Defining the GPT-5 Era 0:22:46 - Evaluating Model Intelligence and Task Difficulty 0:25:06 - Practical Advice for Developers Using GPT-5 0:31:48 - Model Specs 0:37:21 - Challenges in RL Preferences (e.g., try/catch) 0:39:13 - Model Routing and Hybrid Architectures in GPT-5 0:43:58 - GPT-5 pricing and compute efficiency improvements 0:46:04 - Self-Improving Coding Agents and Tool Usage 0:49:11 - On-Device Models and Local vs Remote Agent Systems 0:51:34 - Engineering at OpenAI and Leveraging LLMs 0:54:16 - Structuring Codebases and Teams for AI Optimization 0:55:27 - The Value of Engineers in the Age of AGI 0:58:42 - Current state of AI research and lab diversity 1:01:11 - OpenAI’s Prioritization and Focus Areas 1:03:05 - Advice for Founders - It's Not Too Late 1:04:20 - Future outlook and closing thoughts 1:04:33 - Time Capsule to 2045 - Future of Compute and Abundance 1:07:07 - Time Capsule to 2005 - More Problems Will Emerge
1:08:36

"Projects like the New Deal, the Apollo program pale in comparison to what we're doing right now." 🆕 Greg Brockman (Greg Brockman) joins us to talk GPT-5, GPT-OSS, and what's next on OpenAI's road to crystallizing all of human intelligence! “Energy turns into compute, turns into intelligence… crystallizing compute into potential energy you can release again and again.” 0:00:04 - Introductions 0:01:04 - The Evolution of Reasoning at OpenAI 0:04:01 - Online vs Offline Learning in Language Models 0:06:44 - Sample Efficiency and Human Curation in Reinforcement Learning 0:08:16 - Scaling Compute and Supercritical Learning 0:13:21 - Wall clock time limitations in RL and real-world interactions 0:16:34 - Experience with ARC Institute and DNA neural networks 0:19:33 - Defining the GPT-5 Era 0:22:46 - Evaluating Model Intelligence and Task Difficulty 0:25:06 - Practical Advice for Developers Using GPT-5 0:31:48 - Model Specs 0:37:21 - Challenges in RL Preferences (e.g., try/catch) 0:39:13 - Model Routing and Hybrid Architectures in GPT-5 0:43:58 - GPT-5 pricing and compute efficiency improvements 0:46:04 - Self-Improving Coding Agents and Tool Usage 0:49:11 - On-Device Models and Local vs Remote Agent Systems 0:51:34 - Engineering at OpenAI and Leveraging LLMs 0:54:16 - Structuring Codebases and Teams for AI Optimization 0:55:27 - The Value of Engineers in the Age of AGI 0:58:42 - Current state of AI research and lab diversity 1:01:11 - OpenAI’s Prioritization and Focus Areas 1:03:05 - Advice for Founders - It's Not Too Late 1:04:20 - Future outlook and closing thoughts 1:04:33 - Time Capsule to 2045 - Future of Compute and Abundance 1:07:07 - Time Capsule to 2005 - More Problems Will Emerge

Latent.Space

305,090 görüntüleme • 1 yıl önce

The most capable individuals are learning and shipping 1000x faster using AI. I sat down with Gabriel Petersson () - a high school dropout who self-taught Math & ML with AI and is now an AI Researcher at OpenAI. We deep dive into the most important traits to thrive in the age of infinite leverage: – How to learn hard skills insanely fast with AI – Dropping out in Sweden → America on the O-1 Extraordinary visa - How to get hired by the best when you are a nobody – How to turn prompting into a daily habit – Why America is still the launchpad for ambitious builders - Breaking down Gabriel's most iconic tweets Curiosity + Agency + AI will take you further than any legacy credential Timestamps: 01:12 - Swedish high-school dropout → OpenAI research scientist 03:04 - First startup & sales hacks: door-knocking, instant A/B tests 05:28 - Couch-life grind & learning to code under pressure 08:16 - Learning by doing: top-down vs bottom-up; what schools miss about AI 12:10 - Recursive learning with ChatGPT: ELI5, intuition, gap-filling 16:20 - Prompting habits, make AI your always-on tutor 22:16 - Research workflow: papers, code inserts; “shortcuts to foundations” 27:13 - Feedback obsession, elite code reviews, AI as reviewer 33:12 - Path to the US🇺🇸 Midjourney, getting the O-1 Extraordinary visa, shipping demos that signal skill 39:29 - bypass recruiters via proof of work, risk-free trials & academia hot takes 55:06 - why San Francisco; visas & how to move; final pep talk
1:14:58

The most capable individuals are learning and shipping 1000x faster using AI. I sat down with Gabriel Petersson () - a high school dropout who self-taught Math & ML with AI and is now an AI Researcher at OpenAI. We deep dive into the most important traits to thrive in the age of infinite leverage: – How to learn hard skills insanely fast with AI – Dropping out in Sweden → America on the O-1 Extraordinary visa - How to get hired by the best when you are a nobody – How to turn prompting into a daily habit – Why America is still the launchpad for ambitious builders - Breaking down Gabriel's most iconic tweets Curiosity + Agency + AI will take you further than any legacy credential Timestamps: 01:12 - Swedish high-school dropout → OpenAI research scientist 03:04 - First startup & sales hacks: door-knocking, instant A/B tests 05:28 - Couch-life grind & learning to code under pressure 08:16 - Learning by doing: top-down vs bottom-up; what schools miss about AI 12:10 - Recursive learning with ChatGPT: ELI5, intuition, gap-filling 16:20 - Prompting habits, make AI your always-on tutor 22:16 - Research workflow: papers, code inserts; “shortcuts to foundations” 27:13 - Feedback obsession, elite code reviews, AI as reviewer 33:12 - Path to the US🇺🇸 Midjourney, getting the O-1 Extraordinary visa, shipping demos that signal skill 39:29 - bypass recruiters via proof of work, risk-free trials & academia hot takes 55:06 - why San Francisco; visas & how to move; final pep talk

Sigil Wen

1,298,924 görüntüleme • 8 ay önce

Here's my conversation with Terence Tao, one of the greatest mathematicians in history. We talk about the hardest problems in mathematics & physics, and how AI might help us humans to solve them. This conversation was a huge honor for me. I can't quite put it into words, but once again I'm grateful for whatever simulation code resulted in me having the life I do 🙏 To further confirm simulation, podcast length accidentally turned out to be 3:14 (pi=3.141592). But it's not 3:14:15, because the simulation code has some bugs 🤣 Podcast is here on X in full, and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:49 - First hard problem 6:16 - Navier–Stokes singularity 26:26 - Game of life 33:01 - Infinity 38:07 - Math vs Physics 44:26 - Nature of reality 1:07:09 - Theory of everything 1:13:10 - General relativity 1:16:37 - Solving difficult problems 1:20:01 - AI-assisted theorem proving 1:32:51 - Lean programming language 1:42:51 - DeepMind's AlphaProof 1:47:45 - Human mathematicians vs AI 1:57:37 - AI winning the Fields Medal 2:04:47 - Grigori Perelman 2:17:30 - Twin Prime Conjecture 2:34:04 - Collatz conjecture 2:40:50 - P = NP 2:43:43 - Fields Medal 2:51:18 - Andrew Wiles and Fermat's Last Theorem 2:55:16 - Productivity 2:57:55 - Advice for young people 3:06:17 - The greatest mathematician of all time
3:14:33

Here's my conversation with Terence Tao, one of the greatest mathematicians in history. We talk about the hardest problems in mathematics & physics, and how AI might help us humans to solve them. This conversation was a huge honor for me. I can't quite put it into words, but once again I'm grateful for whatever simulation code resulted in me having the life I do 🙏 To further confirm simulation, podcast length accidentally turned out to be 3:14 (pi=3.141592). But it's not 3:14:15, because the simulation code has some bugs 🤣 Podcast is here on X in full, and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:49 - First hard problem 6:16 - Navier–Stokes singularity 26:26 - Game of life 33:01 - Infinity 38:07 - Math vs Physics 44:26 - Nature of reality 1:07:09 - Theory of everything 1:13:10 - General relativity 1:16:37 - Solving difficult problems 1:20:01 - AI-assisted theorem proving 1:32:51 - Lean programming language 1:42:51 - DeepMind's AlphaProof 1:47:45 - Human mathematicians vs AI 1:57:37 - AI winning the Fields Medal 2:04:47 - Grigori Perelman 2:17:30 - Twin Prime Conjecture 2:34:04 - Collatz conjecture 2:40:50 - P = NP 2:43:43 - Fields Medal 2:51:18 - Andrew Wiles and Fermat's Last Theorem 2:55:16 - Productivity 2:57:55 - Advice for young people 3:06:17 - The greatest mathematician of all time

Lex Fridman

1,230,835 görüntüleme • 1 yıl önce

Knowing how LLM contexts work and how to work around context limitations – aka “context engineering” – is becoming so important. No better person to explain than dex Timestamps: 00:00 Intro 01:33 Dex’s path into tech 03:34 Early work in platform engineering 05:28 Replicated 11:24 Metalytics 12:36 12-factor agents 18:27 Context engineering 23:38 Harness engineering 26:11 Context overload 30:45 Loop engineering 44:34 Software factories before and after AI 50:33 Automation limits 55:18 Three options for automating 59:00 RPI framework 1:04:16 Intentional compaction 1:11:48 Token harder vs. token smarter 1:16:44 AI slop 1:19:15 HumanLayer 1:29:09 Book recommendation Brought to you by: • Antithesis — with Antithesis, you can use AI agents to work on critical systems without worrying about correctness. Teams like Jane Street, and the etcd community use Antithesis to ship better code, faster. • Buildkite — the CI orchestration platform built for reliable scale. Used by OpenAI, Anthropic, Cursor, Meta, Uber, Ramp, Nvidia, Airbnb and many more. • Sentry — application monitoring software built by developers, for developers. Check out their AI agent, Seer AI, and Sentry MCP. Three interesting learnings from this episode: 1. Lesson learned: Shipping unread code spells disaster within months. Dex experimented with having the model write the code and humans not reviewing anything in July 2025. Four months later, they shut things down and threw the whole system out. Production broke, and no matter how much the team prompted Opus 4.1, the model could not find the root cause. Once fixed, it took three weeks (!!) to re-onboard to a codebase no human had ever read 2. Context engineering 101: figure out where the “dumb zone” begins. As a rule of thumb, the less of the context window that is used, the better the outcomes are. This is because the attention mechanism is quadratic: the more that goes into the context window, the more compute is required to process it all. 3. “You’re completely right!” or “you’re right to push back on that” are phrases that mean it’s time to start a new session. These responses mean the LLM session is trajectory-poisoned, and you’re wasting time and tokens to continue. This is because models are autoregressive.
1:33:10

Knowing how LLM contexts work and how to work around context limitations – aka “context engineering” – is becoming so important. No better person to explain than dex Timestamps: 00:00 Intro 01:33 Dex’s path into tech 03:34 Early work in platform engineering 05:28 Replicated 11:24 Metalytics 12:36 12-factor agents 18:27 Context engineering 23:38 Harness engineering 26:11 Context overload 30:45 Loop engineering 44:34 Software factories before and after AI 50:33 Automation limits 55:18 Three options for automating 59:00 RPI framework 1:04:16 Intentional compaction 1:11:48 Token harder vs. token smarter 1:16:44 AI slop 1:19:15 HumanLayer 1:29:09 Book recommendation Brought to you by: • Antithesis — with Antithesis, you can use AI agents to work on critical systems without worrying about correctness. Teams like Jane Street, and the etcd community use Antithesis to ship better code, faster. • Buildkite — the CI orchestration platform built for reliable scale. Used by OpenAI, Anthropic, Cursor, Meta, Uber, Ramp, Nvidia, Airbnb and many more. • Sentry — application monitoring software built by developers, for developers. Check out their AI agent, Seer AI, and Sentry MCP. Three interesting learnings from this episode: 1. Lesson learned: Shipping unread code spells disaster within months. Dex experimented with having the model write the code and humans not reviewing anything in July 2025. Four months later, they shut things down and threw the whole system out. Production broke, and no matter how much the team prompted Opus 4.1, the model could not find the root cause. Once fixed, it took three weeks (!!) to re-onboard to a codebase no human had ever read 2. Context engineering 101: figure out where the “dumb zone” begins. As a rule of thumb, the less of the context window that is used, the better the outcomes are. This is because the attention mechanism is quadratic: the more that goes into the context window, the more compute is required to process it all. 3. “You’re completely right!” or “you’re right to push back on that” are phrases that mean it’s time to start a new session. These responses mean the LLM session is trajectory-poisoned, and you’re wasting time and tokens to continue. This is because models are autoregressive.

Gergely Orosz

63,174 görüntüleme • 29 gün önce

E133: Sam Blackshear - How Libra Sparked the Move Language and Why Sui Is the Real Endgame! Sam Blackshear is the Co-founder and CTO of MystenLabs.sui , the company behind the Sui, and the Creator of the Move programming language that's revolutionizing smart contract development. Timestamps: 0:00 Introduction 1:54 Partnerships: Jupiter, KAST (old), , Sui, Mantle, Forza! BTC 2:44 The Power of Preparation 5:14 Discipline Behind the Podcast 6:27 Translating Thought Into Code 8:19 Who is Sam Blackshear? 9:27 Choosing What Truly Matters 10:25 Self-Custody with Trezor 11:18 Crypto vs. AI Thinking 12:28 The Power of Support 16:04 From Court Dreams to Reality 17:55 Challenging the Limits of Code 22:52 Chose Learning Over a Job 24:09 The Internship That Changed Everything 27:35 PhD Skills Meet Facebook 29:05 Entering Crypto Through Facebook 32:15 Why Libra Needed Move 33:42 Solving Scarcity in Code 36:37 Bitcoin & Ethereum Mistakes 38:45 Creating a New Language 41:41 Problem-Driven Innovation 44:47 Avoiding Analysis Paralysis 48:11 What is Unstructured Thinking? 50:50 Why Unstructured Thinking Works 53:14 Future of Crypto Protocols 54:21 Why Move is the Best Programming Language 55:00 What is the Sui Network? 56:25 What Makes Sui Different? 57:05 Why is Sui The Best Blockchain? 59:05 Managing Energy Long-Term 1:01:02 Satisfaction Without Closure 1:03:37 90% Love, 10% Grind 1:05:37 Mental State of Surfing 1:06:47 Non-Consensus Beliefs 1:07:34 What is Memory Safety? 1:09:07 What Was the Equifax Hack? 1:10:53 Rethinking Software Safety 1:12:00 Right Dose of Regulation 1:13:00 Biggest Prediction for the Next 24 Months? 1:14:02 Scaling Crypto Developers 1:16:07 Concluding Remarks
1:16:31

E133: Sam Blackshear - How Libra Sparked the Move Language and Why Sui Is the Real Endgame! Sam Blackshear is the Co-founder and CTO of MystenLabs.sui , the company behind the Sui, and the Creator of the Move programming language that's revolutionizing smart contract development. Timestamps: 0:00 Introduction 1:54 Partnerships: Jupiter, KAST (old), , Sui, Mantle, Forza! BTC 2:44 The Power of Preparation 5:14 Discipline Behind the Podcast 6:27 Translating Thought Into Code 8:19 Who is Sam Blackshear? 9:27 Choosing What Truly Matters 10:25 Self-Custody with Trezor 11:18 Crypto vs. AI Thinking 12:28 The Power of Support 16:04 From Court Dreams to Reality 17:55 Challenging the Limits of Code 22:52 Chose Learning Over a Job 24:09 The Internship That Changed Everything 27:35 PhD Skills Meet Facebook 29:05 Entering Crypto Through Facebook 32:15 Why Libra Needed Move 33:42 Solving Scarcity in Code 36:37 Bitcoin & Ethereum Mistakes 38:45 Creating a New Language 41:41 Problem-Driven Innovation 44:47 Avoiding Analysis Paralysis 48:11 What is Unstructured Thinking? 50:50 Why Unstructured Thinking Works 53:14 Future of Crypto Protocols 54:21 Why Move is the Best Programming Language 55:00 What is the Sui Network? 56:25 What Makes Sui Different? 57:05 Why is Sui The Best Blockchain? 59:05 Managing Energy Long-Term 1:01:02 Satisfaction Without Closure 1:03:37 90% Love, 10% Grind 1:05:37 Mental State of Surfing 1:06:47 Non-Consensus Beliefs 1:07:34 What is Memory Safety? 1:09:07 What Was the Equifax Hack? 1:10:53 Rethinking Software Safety 1:12:00 Right Dose of Regulation 1:13:00 Biggest Prediction for the Next 24 Months? 1:14:02 Scaling Crypto Developers 1:16:07 Concluding Remarks

MR SHIFT 🦁

164,299 görüntüleme • 1 yıl önce

.Natalia rode so hard for Claude Code we devoted an episode to how she was using it to automate her job running Every 📧’s consulting practice. Fast forward to five months later, and she rides just as hard for Codex. I had her back on AI & I to talk about what caused her to make the switch, including how she ran a prompt in Codex before bed and woke up to a finished, custom CRM tool. We get into: - Why she finds Codex easier to use than Claude Code - How she’s using loops in Codex to create customized tools that work exactly how she needs them to - Why the consulting team still pays for SaaS products like Attio and Asana even though they could vibe code their own versions - How she built an app to manage her father’s medical care in Codex - How knowledge work is evolving from sculpting to gardening, in which you develop the context and logic you need for an agent to execute for you This is a must-watch for anyone trying to figure out whether to build their own tools or buy real software—and what it takes to get an AI agent to run unsupervised for hours and nail the output. Watch below! Timestamps 1. Introduction: 00:01:05 2. How Natalia manages Claudie, the consulting team’s AI project manager: 00:02:35 3. Why the consulting team still pays for SaaS products: 00:04:55 4. Codex as a game changer : 00:11:47 5. Building personalized learning guides and illustrated explainers with AI: 00:14:55 6. Inside Natalia's AI-powered email triage system: 00:21:40 7. The shift from knowledge work as sculpting to knowledge work as gardening: 00:26:44 8. Using Codex to on-shot a custom CRM: 00:28:57 9. Using Codex to build an app that coordinates her father’s medical care: 00:33:16
41:15

.Natalia rode so hard for Claude Code we devoted an episode to how she was using it to automate her job running Every 📧’s consulting practice. Fast forward to five months later, and she rides just as hard for Codex. I had her back on AI & I to talk about what caused her to make the switch, including how she ran a prompt in Codex before bed and woke up to a finished, custom CRM tool. We get into: - Why she finds Codex easier to use than Claude Code - How she’s using loops in Codex to create customized tools that work exactly how she needs them to - Why the consulting team still pays for SaaS products like Attio and Asana even though they could vibe code their own versions - How she built an app to manage her father’s medical care in Codex - How knowledge work is evolving from sculpting to gardening, in which you develop the context and logic you need for an agent to execute for you This is a must-watch for anyone trying to figure out whether to build their own tools or buy real software—and what it takes to get an AI agent to run unsupervised for hours and nail the output. Watch below! Timestamps 1. Introduction: 00:01:05 2. How Natalia manages Claudie, the consulting team’s AI project manager: 00:02:35 3. Why the consulting team still pays for SaaS products: 00:04:55 4. Codex as a game changer : 00:11:47 5. Building personalized learning guides and illustrated explainers with AI: 00:14:55 6. Inside Natalia's AI-powered email triage system: 00:21:40 7. The shift from knowledge work as sculpting to knowledge work as gardening: 00:26:44 8. Using Codex to on-shot a custom CRM: 00:28:57 9. Using Codex to build an app that coordinates her father’s medical care: 00:33:16

Dan Shipper 📧

25,701 görüntüleme • 1 ay önce

DON'T GET A PART-TIME JOB. RAID GOOGLE MAPS AND SELL THE SITE FOR $1000. 30 seconds of vibe coding that actually closes no website icon on maps = free qualified lead lovable turns reviews into a live storefront ▹ the exact loop from the clip open google maps · pick a niche + city scroll listings with reviews but no website logo copy all their reviews + business name + services drop into lovable with a master prompt paste reviews so social proof is already baked in lovable ships a full site in a couple of minutes publish preview url · then call / dm the owner close around $1,000 on the draft not on a pitch deck ▹ why the close works you're not selling ai · you're selling their storefront mobile-first · services · gallery from real reviews whatsapp / call cta above the fold they see their name live before they pay preview tonight · domain + polish after invoice outcome > hours · bookings > resume flex ▹ who pays dentist · medspa · barber · salon · hvac · plumber cafe · restaurant · yoga · lawyer · notary high ltv or booking-driven · skip dead coffee blogs ticket band $500–$1.5k fast local + $100/mo retainer lead machine $1k–$2.5k if you add n8n → telegram ▹ stack to level it up claude / opus 5 writes the master brief + sitemap lovable / bolt / v0 for first ship gpt image 2 hero · nano banana gallery fills cursor + claude code when auth / stripe lands supabase under · vercel preview urls for the dm beauty is a pipeline not a beauty contest ▹ the flip most chase 100x apps and saas wrappers this is maps arbitrage + ai site factory zero code ship · vibe coding · local outbound 20 dms with a live link beats another landing page bookmark · steal the loop · go raid maps tonight
0:29

DON'T GET A PART-TIME JOB. RAID GOOGLE MAPS AND SELL THE SITE FOR $1000. 30 seconds of vibe coding that actually closes no website icon on maps = free qualified lead lovable turns reviews into a live storefront ▹ the exact loop from the clip open google maps · pick a niche + city scroll listings with reviews but no website logo copy all their reviews + business name + services drop into lovable with a master prompt paste reviews so social proof is already baked in lovable ships a full site in a couple of minutes publish preview url · then call / dm the owner close around $1,000 on the draft not on a pitch deck ▹ why the close works you're not selling ai · you're selling their storefront mobile-first · services · gallery from real reviews whatsapp / call cta above the fold they see their name live before they pay preview tonight · domain + polish after invoice outcome > hours · bookings > resume flex ▹ who pays dentist · medspa · barber · salon · hvac · plumber cafe · restaurant · yoga · lawyer · notary high ltv or booking-driven · skip dead coffee blogs ticket band $500–$1.5k fast local + $100/mo retainer lead machine $1k–$2.5k if you add n8n → telegram ▹ stack to level it up claude / opus 5 writes the master brief + sitemap lovable / bolt / v0 for first ship gpt image 2 hero · nano banana gallery fills cursor + claude code when auth / stripe lands supabase under · vercel preview urls for the dm beauty is a pipeline not a beauty contest ▹ the flip most chase 100x apps and saas wrappers this is maps arbitrage + ai site factory zero code ship · vibe coding · local outbound 20 dms with a live link beats another landing page bookmark · steal the loop · go raid maps tonight

Ridark

20,459 görüntüleme • 10 gün önce

I built a Claude skill that turns Claude Code into your personal coding tutor. The core insight: Claude Opus 4.5 is already the best tutor in the world. Anthropic cooked with this model! It has incredible emotional intelligence and deep coding knowledge. What this skill does is just provide a harness—a way for Claude to agentically build the right context about YOU so it can personalize the tutoring experience in exactly the right way. Here's what makes it work: Learner profile from day one. The first time you use it, Claude interviews you. It asks about your programming background, your goal (where do you want this to take you?), and who you are as a person. This gets saved and informs every single tutorial it ever writes for you. From the very first interaction, everything is 100% personalized. Tutorials that use YOUR code. When you ask to learn something, Claude doesn't give you generic examples from some blog post. It finds examples in the actual codebase you're working in. This makes concepts stick in a way abstract examples never do. Quiz mode with spaced repetition. You can run "/quiz-me" and Claude will test you on concepts you've learned. It tracks your understanding score for each tutorial. Then it uses spaced repetition to prioritize the next quiz—concepts you're shaky on come back in 2 days, concepts you've mastered fade to 55+ day intervals. It literally builds retention into the learning process. One central knowledge base across all your projects. Whether you're joining a new company and want to understand their codebase, learning from an open source project, or leveling up on your own vibe-coded project—all your tutorials live in one place (~/coding-tutor-tutorials/). So your personal coding-tutor accompanies you across all your coding adventures. The whole thing is a feedback loop: learn → quiz → retain → learn more → quiz → retain. Your tutorials evolve, your knowledge compounds, and Claude gets better at teaching YOU specifically over time. To install it in Claude Code: • Run /plugin to open the plugin manager • Add marketplace nityeshaga/claude-code-essentials • Enable coding-tutor plugin Here's the Github: And here's 20-mins of me walking you through how to use this plugin and how it works 👇🏽 Let me know if you use it to teach yourself something cool!
21:41

I built a Claude skill that turns Claude Code into your personal coding tutor. The core insight: Claude Opus 4.5 is already the best tutor in the world. Anthropic cooked with this model! It has incredible emotional intelligence and deep coding knowledge. What this skill does is just provide a harness—a way for Claude to agentically build the right context about YOU so it can personalize the tutoring experience in exactly the right way. Here's what makes it work: Learner profile from day one. The first time you use it, Claude interviews you. It asks about your programming background, your goal (where do you want this to take you?), and who you are as a person. This gets saved and informs every single tutorial it ever writes for you. From the very first interaction, everything is 100% personalized. Tutorials that use YOUR code. When you ask to learn something, Claude doesn't give you generic examples from some blog post. It finds examples in the actual codebase you're working in. This makes concepts stick in a way abstract examples never do. Quiz mode with spaced repetition. You can run "/quiz-me" and Claude will test you on concepts you've learned. It tracks your understanding score for each tutorial. Then it uses spaced repetition to prioritize the next quiz—concepts you're shaky on come back in 2 days, concepts you've mastered fade to 55+ day intervals. It literally builds retention into the learning process. One central knowledge base across all your projects. Whether you're joining a new company and want to understand their codebase, learning from an open source project, or leveling up on your own vibe-coded project—all your tutorials live in one place (~/coding-tutor-tutorials/). So your personal coding-tutor accompanies you across all your coding adventures. The whole thing is a feedback loop: learn → quiz → retain → learn more → quiz → retain. Your tutorials evolve, your knowledge compounds, and Claude gets better at teaching YOU specifically over time. To install it in Claude Code: • Run /plugin to open the plugin manager • Add marketplace nityeshaga/claude-code-essentials • Enable coding-tutor plugin Here's the Github: And here's 20-mins of me walking you through how to use this plugin and how it works 👇🏽 Let me know if you use it to teach yourself something cool!

Nityesh

64,563 görüntüleme • 7 ay önce

Just six months ago, DHH (creator of Ruby on Rails and Omarchy) said how he doesn’t really use AI tools to write code, because they are not good enough. Things have changed, a lot. Timestamps: 00:00 Intro 02:11 Omarchy and Ruby on Rails 08:25 37signals overview 10:12 Launching HEY 18:38 Building HEY 22:47 Designers at 37signals 28:08 The craft of design 31:52 Why DHH now embraces AI workflows 39:45 The AI inflection point 44:23 DHH’s agent-first workflow 55:09 AI’s impact on junior developers 1:03:08 Developer experience with AI 1:16:43 What does AI mean for developers? 1:23:33 37signals teams and hiring 1:38:20 Work-life balance with AI 1:41:41 Why DHH keeps building 1:45:24 Closing Brought to you by: • Statsig – ⁠ The unified platform for flags, analytics, experiments, and more. Stop switching between different tools, and have them all in one place. • WorkOS – Everything you need to make your app enterprise ready. WorkOS gives you APIs to ship enterprise features in days. Check out • Sonar – The makers of SonarQube, the industry standard for automated code review. See how SonarQube Advanced Security is empowering the Agent Centric Development Cycle (AC/DC) with new capabilities. Three interesting observations from this conversation: #1 DHH's philosophy on AI has not changed, but the available tools very much have. Autocomplete-style coding assistants were genuinely annoying for experienced developers six months ago. Things changed with the shift from tab-completion to agent harnesses, plus the emergence of powerful models like Opus 4.5 – when agents started producing code which DHH does want to merge with little to no alteration. #2 Beautiful code and products aren’t matters of vanity; they’re signals of correctness. Dipping into philosophy, DHH says: “When something is beautiful, it’s likely to be correct.” He argues that Steve Jobs wanted the inside of a computer to be beautiful because people who care about circuit board layout are also those who sweat on the details of the UI. #3 DHH’s development workflow, today: He runs tmux to have two models running, and neovim in the center. Specifics: - One fast LLM running (typically Gemini 2.5) in one split terminal - A slow but more powerful model in another terminal (usually Opus) - NeoVim for reviewing diffs via Lazygit
1:47:20

Just six months ago, DHH (creator of Ruby on Rails and Omarchy) said how he doesn’t really use AI tools to write code, because they are not good enough. Things have changed, a lot. Timestamps: 00:00 Intro 02:11 Omarchy and Ruby on Rails 08:25 37signals overview 10:12 Launching HEY 18:38 Building HEY 22:47 Designers at 37signals 28:08 The craft of design 31:52 Why DHH now embraces AI workflows 39:45 The AI inflection point 44:23 DHH’s agent-first workflow 55:09 AI’s impact on junior developers 1:03:08 Developer experience with AI 1:16:43 What does AI mean for developers? 1:23:33 37signals teams and hiring 1:38:20 Work-life balance with AI 1:41:41 Why DHH keeps building 1:45:24 Closing Brought to you by: • Statsig – ⁠ The unified platform for flags, analytics, experiments, and more. Stop switching between different tools, and have them all in one place. • WorkOS – Everything you need to make your app enterprise ready. WorkOS gives you APIs to ship enterprise features in days. Check out • Sonar – The makers of SonarQube, the industry standard for automated code review. See how SonarQube Advanced Security is empowering the Agent Centric Development Cycle (AC/DC) with new capabilities. Three interesting observations from this conversation: #1 DHH's philosophy on AI has not changed, but the available tools very much have. Autocomplete-style coding assistants were genuinely annoying for experienced developers six months ago. Things changed with the shift from tab-completion to agent harnesses, plus the emergence of powerful models like Opus 4.5 – when agents started producing code which DHH does want to merge with little to no alteration. #2 Beautiful code and products aren’t matters of vanity; they’re signals of correctness. Dipping into philosophy, DHH says: “When something is beautiful, it’s likely to be correct.” He argues that Steve Jobs wanted the inside of a computer to be beautiful because people who care about circuit board layout are also those who sweat on the details of the UI. #3 DHH’s development workflow, today: He runs tmux to have two models running, and neovim in the center. Specifics: - One fast LLM running (typically Gemini 2.5) in one split terminal - A slow but more powerful model in another terminal (usually Opus) - NeoVim for reviewing diffs via Lazygit

Gergely Orosz

329,135 görüntüleme • 4 ay önce