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342 skilled construction workers retire every day in the US. Use interior wall finishing as an example, you can't just hand someone a trowel and get a Level 5 wall finish. It takes years to develop that skill. This is Okibo's fully autonomous interior finishing robot that does drywall...

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Nick Durham

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324,642 views • 4 months ago •via X (Twitter)

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Arteta: “To be fair, it's a bit different when you finish second and when you win it with your phone, and that's a sport and it's a big lesson in life as well because the margins are so small and it can go either way. “When you just accomplish it, you realise, yeah, how immense it is, how big it is for so many people. I mean, just to witness the happiness and the enjoyment, all the things that I've seen from all of our supporters, families in different countries, it's just so good.”
0:45

Arteta: “To be fair, it's a bit different when you finish second and when you win it with your phone, and that's a sport and it's a big lesson in life as well because the margins are so small and it can go either way. “When you just accomplish it, you realise, yeah, how immense it is, how big it is for so many people. I mean, just to witness the happiness and the enjoyment, all the things that I've seen from all of our supporters, families in different countries, it's just so good.”

Connor Humm

39,215 views • 3 months ago

I missed this when it was released a few weeks ago... probs the most unhinged crab robot out there. Love to see it. What it is: A heavy-duty construction robot that can swap tools and arms automatically during operation. Think modular platform rather than a single-purpose machine. Key specs: - 100kg payload, 4m reach, Fits in a Euro-pallet for easy transport - Autonomous tool switching via standardised interfaces - Handles placement, fastening, finishing, and inspection What makes it different: Designed from first principles for construction work, not human mimicry. The modular architecture means one robot tackles multiple tasks across different build phases without redesign.
0:21

I missed this when it was released a few weeks ago... probs the most unhinged crab robot out there. Love to see it. What it is: A heavy-duty construction robot that can swap tools and arms automatically during operation. Think modular platform rather than a single-purpose machine. Key specs: - 100kg payload, 4m reach, Fits in a Euro-pallet for easy transport - Autonomous tool switching via standardised interfaces - Handles placement, fastening, finishing, and inspection What makes it different: Designed from first principles for construction work, not human mimicry. The modular architecture means one robot tackles multiple tasks across different build phases without redesign.

Jack 🤖

29,454 views • 1 year ago

ANTHROPIC MAPPED OUT 8 LEVELS OF AI AGENTS - AND ANYONE CAN REACH LEVEL 8 WHERE THE SYSTEM EARNS $70K WITHOUT YOU anyone can reach level 8 - one solo developer with the right architecture gets there in a few weeks level 1 - the agent can do one action - and 80% of developers call this a product level 3 - 50 tools in context at once - the model gets confused - most teams get stuck here and lose $30K/month level 4 - Opus 5 grades its own output and rejects before you see it - the first level where quality stops depending on luck level 5 - Opus 5 plans, Fable 5 executes in parallel - one brain, many hands level 7 - while you slept the agent did $3,000 worth of work and sent the report before you woke up level 8 - the fleet finds its own mistakes, patches the graph and tomorrow it is smarter than today bookmark and read below - 8 steps from level 1 to $70K/month without you
0:40

ANTHROPIC MAPPED OUT 8 LEVELS OF AI AGENTS - AND ANYONE CAN REACH LEVEL 8 WHERE THE SYSTEM EARNS $70K WITHOUT YOU anyone can reach level 8 - one solo developer with the right architecture gets there in a few weeks level 1 - the agent can do one action - and 80% of developers call this a product level 3 - 50 tools in context at once - the model gets confused - most teams get stuck here and lose $30K/month level 4 - Opus 5 grades its own output and rejects before you see it - the first level where quality stops depending on luck level 5 - Opus 5 plans, Fable 5 executes in parallel - one brain, many hands level 7 - while you slept the agent did $3,000 worth of work and sent the report before you woke up level 8 - the fleet finds its own mistakes, patches the graph and tomorrow it is smarter than today bookmark and read below - 8 steps from level 1 to $70K/month without you

Noisy

12,083 views • 1 month ago

The LX 600 just got the full Phantom package. A full detail to perfect every surface, premium tint for comfort and privacy and 3M PPF to lock in that finish for the long run. It's all about setting the car up right from day one and keeping it looking brand new for years. This is how you protect and preserve the luxury. DM us to get the Quote.
1:07

The LX 600 just got the full Phantom package. A full detail to perfect every surface, premium tint for comfort and privacy and 3M PPF to lock in that finish for the long run. It's all about setting the car up right from day one and keeping it looking brand new for years. This is how you protect and preserve the luxury. DM us to get the Quote.

PhantomWrap

517,916 views • 7 months ago

Imagine an AI application that can type anywhere you can and use the full context of what's on your screen. ​ This is the application we all deserve (at least if you have macOS.) ​ Check out Omnipilot. It's an app that works with every other macOS application and uses Claude Sonet 3.5 in the background—it also supports Gemini and GPT-4o. ​ ​ Here is the idea: ​ You can use the tool to ask questions about anything on your screen. Or you can use it to autocomplete the text you are typing. You don't need to copy and paste anymore or waste your time providing context to a model. ​ It sees what you see. It works right where you are. ​ That's pretty cool. ​ Here are a couple of cool examples: ​ • Use it to reply to an email • Use it in the terminal to autocomplete a command • Use it to finish a document • Use to send a message on Slack ​ AI at the system level is bonkers. You can read a ton more on their Product Hunt launch page: ​ ​ Thanks to the Omnipilot team for collaborating with me on this post!
0:29

Imagine an AI application that can type anywhere you can and use the full context of what's on your screen. ​ This is the application we all deserve (at least if you have macOS.) ​ Check out Omnipilot. It's an app that works with every other macOS application and uses Claude Sonet 3.5 in the background—it also supports Gemini and GPT-4o. ​ ​ Here is the idea: ​ You can use the tool to ask questions about anything on your screen. Or you can use it to autocomplete the text you are typing. You don't need to copy and paste anymore or waste your time providing context to a model. ​ It sees what you see. It works right where you are. ​ That's pretty cool. ​ Here are a couple of cool examples: ​ • Use it to reply to an email • Use it in the terminal to autocomplete a command • Use it to finish a document • Use to send a message on Slack ​ AI at the system level is bonkers. You can read a ton more on their Product Hunt launch page: ​ ​ Thanks to the Omnipilot team for collaborating with me on this post!

Santiago

72,306 views • 2 years ago

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.
7:37

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

Santiago

20,943 views • 1 month ago

Wow. This is the coolest AI tool I've ever used It's an AI that can take ANY post you've ever put out and turn it into hundreds of different pieces of content instantly You'll never run out of content again Put in a single post and you can turn it into: • Video scripts • Long form posts • Blog posts • Articles • Short form posts It's actually mind blowing. On top of that you can use the AI to repurpose the content as different people on X Choose an ANY account on X then hit repurpose, the AI will write the post AS THAT person I've been writing some posts as Trump lately and they're fire You can find inspiration accounts and start creating content just like them So sick O forgot to mention: I built the tool myself It's called Creator Buddy and it's the single greatest AI content creation tool of all time This is one of 8 different AI content tools built in that will help you: • Increase your following • Explode your engagement • Get paid more on X It launches THURSDAY JANUARY 23rd! Hit the link in the bio to get more details and get notified when it releases Right now over 100 people are beta testing it and the feedback and growth has been insane The best part is, it's not just a super tool, it's also an exclusive community. I'll be meeting with members every single week! Can't wait for you to use it!
2:20

Wow. This is the coolest AI tool I've ever used It's an AI that can take ANY post you've ever put out and turn it into hundreds of different pieces of content instantly You'll never run out of content again Put in a single post and you can turn it into: • Video scripts • Long form posts • Blog posts • Articles • Short form posts It's actually mind blowing. On top of that you can use the AI to repurpose the content as different people on X Choose an ANY account on X then hit repurpose, the AI will write the post AS THAT person I've been writing some posts as Trump lately and they're fire You can find inspiration accounts and start creating content just like them So sick O forgot to mention: I built the tool myself It's called Creator Buddy and it's the single greatest AI content creation tool of all time This is one of 8 different AI content tools built in that will help you: • Increase your following • Explode your engagement • Get paid more on X It launches THURSDAY JANUARY 23rd! Hit the link in the bio to get more details and get notified when it releases Right now over 100 people are beta testing it and the feedback and growth has been insane The best part is, it's not just a super tool, it's also an exclusive community. I'll be meeting with members every single week! Can't wait for you to use it!

Alex Finn

15,357 views • 1 year ago

Lebron on what it takes to play for as long as he has at a high level that the average fan may not understand: "It starts way before you get on the floor. They see us once the game is going the popcorn's been popped and the lights are brighter. It takes so much more like sacrifice and discipline and things over the course if you want to be really great at this and if you want to do it for a long period of time. It's so many hours that you got to commit to it. There's so many things that you maybe want to do that you can't if you want to be great but everybody's journey is different. I'm just speaking from my journey but I do think that the game gives back to the ones who put the time in and commit to the game. That's just the game God's rewarding and we don't cheat the process"
0:54

Lebron on what it takes to play for as long as he has at a high level that the average fan may not understand: "It starts way before you get on the floor. They see us once the game is going the popcorn's been popped and the lights are brighter. It takes so much more like sacrifice and discipline and things over the course if you want to be really great at this and if you want to do it for a long period of time. It's so many hours that you got to commit to it. There's so many things that you maybe want to do that you can't if you want to be great but everybody's journey is different. I'm just speaking from my journey but I do think that the game gives back to the ones who put the time in and commit to the game. That's just the game God's rewarding and we don't cheat the process"

Oh No He Didn't

36,779 views • 4 months ago

.travis kalanick on the counterintuitive reality of physical automation: "Sometimes the things that sound the coolest are the easiest, and the things you'd never think of are the hardest. The hardest thing we do on food is actually put a bowl in a paper bag." "Paper bags are not as standardized as you think. To have a mechanical apparatus open a paper bag every time and never rip it, 100% shot on goal, when there's so much variance in how it crinkles and moves, and it has to be inexpensive, it's hard. And don't even get me started about the sauce cups." "On a mine, you go to the operator, and it's not just put some software on a machine and magically it's autonomous. This is a physical workflow you have to master in an autonomous way. In a tech product they'd call it the happy path. They say, does this ever happen? Dude, it never happens. And then it happens a lot." "If it happens a hundredth of a percent of the time, that's a lot, especially with a $20 million piece of equipment that falls off a cliff if you do it wrong. It's the long tail of those never-happen things when you're automating an industrial workflow that is the texture and fun of the problem."
3:23

.travis kalanick on the counterintuitive reality of physical automation: "Sometimes the things that sound the coolest are the easiest, and the things you'd never think of are the hardest. The hardest thing we do on food is actually put a bowl in a paper bag." "Paper bags are not as standardized as you think. To have a mechanical apparatus open a paper bag every time and never rip it, 100% shot on goal, when there's so much variance in how it crinkles and moves, and it has to be inexpensive, it's hard. And don't even get me started about the sauce cups." "On a mine, you go to the operator, and it's not just put some software on a machine and magically it's autonomous. This is a physical workflow you have to master in an autonomous way. In a tech product they'd call it the happy path. They say, does this ever happen? Dude, it never happens. And then it happens a lot." "If it happens a hundredth of a percent of the time, that's a lot, especially with a $20 million piece of equipment that falls off a cliff if you do it wrong. It's the long tail of those never-happen things when you're automating an industrial workflow that is the texture and fun of the problem."

MTS

114,432 views • 1 month ago

If you think you're AI Native, here's a good test: When you're heading to bed tonight, are you asking yourself "what agents can I be running overnight to get a head start on my day tomorrow?" I posted that last week and hundreds commented on it. The most common pushback was some version of "congrats, you've automated slop." Here's my take: if your overnight runs produce slop, that's a process failure, not an agent failure. The model did exactly what you prepared it to do. You just didn't prepare it. And that's actually good news, because process is something you can level up. At tenex we run agents this way every day, on real client systems, using an internal framework we call MetaHarness. Before any long run starts, the plan is written down, the work is broken into small tasks, every task carries pass/fail success criteria, and guardrails define what the agent can touch and when it has to stop and wait for a human. With that in place, the agent isn't wandering your codebase all night. It's working inside rails you laid, and the only things waiting for you in the morning are the decisions that needed a human. Most people are still prompting and praying. This is your chance to build the framework that takes your agents to the next level. I recorded the whole process in a new video for you all ↓
19:36

If you think you're AI Native, here's a good test: When you're heading to bed tonight, are you asking yourself "what agents can I be running overnight to get a head start on my day tomorrow?" I posted that last week and hundreds commented on it. The most common pushback was some version of "congrats, you've automated slop." Here's my take: if your overnight runs produce slop, that's a process failure, not an agent failure. The model did exactly what you prepared it to do. You just didn't prepare it. And that's actually good news, because process is something you can level up. At tenex we run agents this way every day, on real client systems, using an internal framework we call MetaHarness. Before any long run starts, the plan is written down, the work is broken into small tasks, every task carries pass/fail success criteria, and guardrails define what the agent can touch and when it has to stop and wait for a human. With that in place, the agent isn't wandering your codebase all night. It's working inside rails you laid, and the only things waiting for you in the morning are the decisions that needed a human. Most people are still prompting and praying. This is your chance to build the framework that takes your agents to the next level. I recorded the whole process in a new video for you all ↓

JJ Englert

64,280 views • 23 days ago

We asked rahul about the global reach of @ChatGPTApp and the emphasis on personality in AI models. "When you want to get to the one to like the remaining 90% of the users, do you want a model that thinks for longer? You want more personality?" "They definitely leaned in on personality, which I think is interesting." "It's kind of different than a (social media) feed in some ways because you have this person you talk to. It's like a relationship and then it just switches up on how it talks to you."
0:50

We asked rahul about the global reach of @ChatGPTApp and the emphasis on personality in AI models. "When you want to get to the one to like the remaining 90% of the users, do you want a model that thinks for longer? You want more personality?" "They definitely leaned in on personality, which I think is interesting." "It's kind of different than a (social media) feed in some ways because you have this person you talk to. It's like a relationship and then it just switches up on how it talks to you."

TBPN

92,172 views • 1 year ago

Yann LeCun -- Meta's chief AI scientist and a Turing Award winner -- explains why scaling up LLMs will never reach human-level AI, and names the four things today's systems still can't do: "If you think that we're going to get to human-level AI by just training on more data and scaling up LLMs, you're making a mistake." "If you're an investor and you invest in a company that told you we're going to get to human-level AI and PhD level by just training on more data and with a few tricks... that was probably not a good idea." "There are ideas about how to go forward and have systems that are capable of doing what every intelligent animal and human are capable of doing, and that current AI systems are not capable of doing." "Understanding the physical world, having persistent memory, and being able to reason and plan. Those are the four characteristics that need to be there." "That requires systems that can acquire common sense, that can learn from natural sensors like video, as opposed to just text." The entire market is priced on a straight line from bigger models to AGI. One of the people who invented deep learning is telling you the line doesn't reach -- and that the real bottleneck isn't compute, it's world models. If he's right, the winner isn't whoever stacks the most GPUs. It's whoever teaches a machine to learn from video the way a child does.
0:58

Yann LeCun -- Meta's chief AI scientist and a Turing Award winner -- explains why scaling up LLMs will never reach human-level AI, and names the four things today's systems still can't do: "If you think that we're going to get to human-level AI by just training on more data and scaling up LLMs, you're making a mistake." "If you're an investor and you invest in a company that told you we're going to get to human-level AI and PhD level by just training on more data and with a few tricks... that was probably not a good idea." "There are ideas about how to go forward and have systems that are capable of doing what every intelligent animal and human are capable of doing, and that current AI systems are not capable of doing." "Understanding the physical world, having persistent memory, and being able to reason and plan. Those are the four characteristics that need to be there." "That requires systems that can acquire common sense, that can learn from natural sensors like video, as opposed to just text." The entire market is priced on a straight line from bigger models to AGI. One of the people who invented deep learning is telling you the line doesn't reach -- and that the real bottleneck isn't compute, it's world models. If he's right, the winner isn't whoever stacks the most GPUs. It's whoever teaches a machine to learn from video the way a child does.

Karl Mehta

34,818 views • 2 months ago

Introducing Sai-Fi: an open source app that lets you talk to AI agent Sai through a pair of Meta Ray-Ban glasses. Sai is an autonomous computer-use agent. It can see the screen, move the mouse, type, and keep working even when you are away. We used Meta Ray-Bans for the first prototype but the glasses aren't really the point. Underneath is the Sai API and a voice concierge designed to work across different devices. The interface could live in an earpiece, a car, a small box on a workbench, or something nobody has built yet. Give it a microphone, a speaker, and a connection, and Sai has another way in. The bigger idea is an autonomous computer you can reach from anywhere. Bring Sai to your own Meta Ray-Ban glasses today!
1:01

Introducing Sai-Fi: an open source app that lets you talk to AI agent Sai through a pair of Meta Ray-Ban glasses. Sai is an autonomous computer-use agent. It can see the screen, move the mouse, type, and keep working even when you are away. We used Meta Ray-Bans for the first prototype but the glasses aren't really the point. Underneath is the Sai API and a voice concierge designed to work across different devices. The interface could live in an earpiece, a car, a small box on a workbench, or something nobody has built yet. Give it a microphone, a speaker, and a connection, and Sai has another way in. The bigger idea is an autonomous computer you can reach from anywhere. Bring Sai to your own Meta Ray-Ban glasses today!

Simular

235,378 views • 13 days ago

"People think that [pharma using AI] is going to a prompt and saying, 'Cure cancer.' It's not." — John Coogan "It's like: you have a 10,000-page document that you need to send to the FDA, and if there's a misplaced comma, they can just send it back to you. Now you're at the back of the queue." "I was working on FDA filings 4-5 years ago, and there were so many Word documents. It was the same application for multiple variations of the product that the FDA was going to review. So we actually wrote Python scripts to programmatically interact with the Word documents to basically do a very advanced version of find and replace." "That's perfect for AI. It just speeds things up a little bit. You submit a week earlier, you can submit more things, more variations. You can give more information, compile more information, investigate other literature, do deep research reports — 'What else is out there? Let's review all the IP faster' — summarize things, find different threads to pull on." "Little things like that just squeak out an extra 5 minutes here, an extra day there, and it all adds up to 'acceleration and progress.' It's not like, overnight, all of a sudden everything's changed."
2:59

"People think that [pharma using AI] is going to a prompt and saying, 'Cure cancer.' It's not." — John Coogan "It's like: you have a 10,000-page document that you need to send to the FDA, and if there's a misplaced comma, they can just send it back to you. Now you're at the back of the queue." "I was working on FDA filings 4-5 years ago, and there were so many Word documents. It was the same application for multiple variations of the product that the FDA was going to review. So we actually wrote Python scripts to programmatically interact with the Word documents to basically do a very advanced version of find and replace." "That's perfect for AI. It just speeds things up a little bit. You submit a week earlier, you can submit more things, more variations. You can give more information, compile more information, investigate other literature, do deep research reports — 'What else is out there? Let's review all the IP faster' — summarize things, find different threads to pull on." "Little things like that just squeak out an extra 5 minutes here, an extra day there, and it all adds up to 'acceleration and progress.' It's not like, overnight, all of a sudden everything's changed."

TBPN

52,922 views • 5 months ago

ANTHROPIC'S HEAD OF ENGINEERING SAYS THEY JUST SHIPPED THE MOST CAPABLE MODELS THEY HAVE EVER BUILT Mythos 5 and Fable 5. Fable 5 can run for days on a single goal and get it right on the first pass, on work that used to need an entire team. Most people use AI to summarize things. The real leverage is the long autonomous task you keep putting off.
6:47

ANTHROPIC'S HEAD OF ENGINEERING SAYS THEY JUST SHIPPED THE MOST CAPABLE MODELS THEY HAVE EVER BUILT Mythos 5 and Fable 5. Fable 5 can run for days on a single goal and get it right on the first pass, on work that used to need an entire team. Most people use AI to summarize things. The real leverage is the long autonomous task you keep putting off.

0xMarioNawfal

57,127 views • 2 months ago

Walking makes you more creative Daniel Pink says: "The research on walking is unbelievable. There's a famous study where they put people in a chair and they put people on a treadmill, and they do the "alternative uses for an object test." Basically, you give somebody something mundane like a brick and ask: How many different uses can you have for the brick? You can use it as a door stop. You can use it as a step ladder to reach something you can't reach. You can use it as a paper weight. The people who were walking on a treadmill generated like three times as many ideas as the people sitting in a chair. Wow. It's unbelievable. They were just in a treadmill in a laboratory." Daniel Pink
0:35

Walking makes you more creative Daniel Pink says: "The research on walking is unbelievable. There's a famous study where they put people in a chair and they put people on a treadmill, and they do the "alternative uses for an object test." Basically, you give somebody something mundane like a brick and ask: How many different uses can you have for the brick? You can use it as a door stop. You can use it as a step ladder to reach something you can't reach. You can use it as a paper weight. The people who were walking on a treadmill generated like three times as many ideas as the people sitting in a chair. Wow. It's unbelievable. They were just in a treadmill in a laboratory." Daniel Pink

David Perell Clips

231,225 views • 6 months ago

Rick Rubin’s fishing metaphor: This is the sign of a true professional. He doesn't sit around waiting for inspiration to come— he goes to the studio rigidly, every day, ready to work, knowing that it will be there for him when he calls on it. “It's like fishing. You can go out and spend the whole day fishing and not catch any fish. You can work for a day or for a week and nothing good can happen. That happens. It's out of our control.” You have to trust the process. You have to keep showing up.
1:01

Rick Rubin’s fishing metaphor: This is the sign of a true professional. He doesn't sit around waiting for inspiration to come— he goes to the studio rigidly, every day, ready to work, knowing that it will be there for him when he calls on it. “It's like fishing. You can go out and spend the whole day fishing and not catch any fish. You can work for a day or for a week and nothing good can happen. That happens. It's out of our control.” You have to trust the process. You have to keep showing up.

David Senra

75,963 views • 3 months ago

Q: Engine changes that you can make with ADUO, is the title still possible for you & the team? "It's unlikely from from an update perspective it's not like now we can just bring an update next week it takes months and months and months to develop and change components on the engine to prove it to make sure it still holds reliability and it's it's a long long development process so whether or not the engine will catch up this year it's highly unlikely I would say that the engine is going to catch up this year with the time we have left it's more the opportunity close the gap for next year, power wise." Q: But do you think... "But in terms of the title I'm still... I think if we we can still outdo people in terms of how we develop the car a car is very good the the downforce package that we have is really good we're gonna have to double up make sure that we're always one step ahead of everyone in terms of advancing that so we can go through the corners quicker and catch up the deficit we may lose down the straights improve efficiency so we maybe can improve a bit on drag for example to try and close that gap in speed but you know and there's lots of different things happening in all these different tracks so you know never say never and I just keep pushing give it absolutely everything." F1 2026 || Barcelona
1:21

Q: Engine changes that you can make with ADUO, is the title still possible for you & the team? "It's unlikely from from an update perspective it's not like now we can just bring an update next week it takes months and months and months to develop and change components on the engine to prove it to make sure it still holds reliability and it's it's a long long development process so whether or not the engine will catch up this year it's highly unlikely I would say that the engine is going to catch up this year with the time we have left it's more the opportunity close the gap for next year, power wise." Q: But do you think... "But in terms of the title I'm still... I think if we we can still outdo people in terms of how we develop the car a car is very good the the downforce package that we have is really good we're gonna have to double up make sure that we're always one step ahead of everyone in terms of advancing that so we can go through the corners quicker and catch up the deficit we may lose down the straights improve efficiency so we maybe can improve a bit on drag for example to try and close that gap in speed but you know and there's lots of different things happening in all these different tracks so you know never say never and I just keep pushing give it absolutely everything." F1 2026 || Barcelona

sim 🇧🇷🇲🇽🇸🇳🇫🇷🇭🇹

87,280 views • 2 months ago

Are men drawn to video games because they offer a space where merit is recognized and rewarded? Maybe. But recognized by who? The game itself? Other players? I’m not totally convinced. It sounds a little too tidy. Still, there’s something real here about how these games hijack the drive for ambition and accomplishment. A lot of them are designed so that the difficulty is just above your current skill level. You usually fail the first couple of times, but you almost succeed. And then you try again. The game subtly adjusts itself to stay just out of reach—close enough to feel attainable, far enough to keep you chasing it. It’s addictive. And when you finally beat the level or complete the quest, it triggers a real sense of satisfaction—like you earned it. I’ve talked to some younger guys who got hooked on gaming and then had this realization: “I should be doing this in real life.” Instead of trying to level up in a game, they started trying to level up in the gym. Same principle. You lift today, stick with it, lift a little more next month, and so on. Eventually your body changes. Two years go by, and you look like a different person. Take that mindset, the drive to improve, to reach the next level, and apply it outside the screen. There are levels to real-life too.
1:58

Are men drawn to video games because they offer a space where merit is recognized and rewarded? Maybe. But recognized by who? The game itself? Other players? I’m not totally convinced. It sounds a little too tidy. Still, there’s something real here about how these games hijack the drive for ambition and accomplishment. A lot of them are designed so that the difficulty is just above your current skill level. You usually fail the first couple of times, but you almost succeed. And then you try again. The game subtly adjusts itself to stay just out of reach—close enough to feel attainable, far enough to keep you chasing it. It’s addictive. And when you finally beat the level or complete the quest, it triggers a real sense of satisfaction—like you earned it. I’ve talked to some younger guys who got hooked on gaming and then had this realization: “I should be doing this in real life.” Instead of trying to level up in a game, they started trying to level up in the gym. Same principle. You lift today, stick with it, lift a little more next month, and so on. Eventually your body changes. Two years go by, and you look like a different person. Take that mindset, the drive to improve, to reach the next level, and apply it outside the screen. There are levels to real-life too.

Rob Henderson

20,660 views • 1 year ago

Sunday Robotics' Tony Zhao runs a fully autonomous robot demo live and unscripted, and it corrects itself every time you mess with it: brexton: "I want to confirm for the audience right now that this is fully autonomous. There's no teleoperation, no one behind the curtain, and this is real time. And we did not prepare this demo before. Why do you think seeing real-time demos is so rare for robotics? What the audience is seeing right now is not that common." Tony Zhao: "In order for a live demo to work, it's really stressing all parts of the system. From the bottom is the reliability of the hardware, then the software system, then the model. Because we're a full-stack company, we're able to do excellent work across all of them. We have these robots running pretty much every day, and it just keeps getting better as they practice." brexton: "So kids can bump into Memo, people can drop clothes, and it will correct itself just on the fly." Tony Zhao: "Act Two is the first robotic policy that can handle the diversity of homes in a way that is this reliable. You can see as I'm twisting it, if I twist it in again, it will keep doing it. So Memo has infinite patience." Sunday
5:32

Sunday Robotics' Tony Zhao runs a fully autonomous robot demo live and unscripted, and it corrects itself every time you mess with it: brexton: "I want to confirm for the audience right now that this is fully autonomous. There's no teleoperation, no one behind the curtain, and this is real time. And we did not prepare this demo before. Why do you think seeing real-time demos is so rare for robotics? What the audience is seeing right now is not that common." Tony Zhao: "In order for a live demo to work, it's really stressing all parts of the system. From the bottom is the reliability of the hardware, then the software system, then the model. Because we're a full-stack company, we're able to do excellent work across all of them. We have these robots running pretty much every day, and it just keeps getting better as they practice." brexton: "So kids can bump into Memo, people can drop clothes, and it will correct itself just on the fly." Tony Zhao: "Act Two is the first robotic policy that can handle the diversity of homes in a way that is this reliable. You can see as I'm twisting it, if I twist it in again, it will keep doing it. So Memo has infinite patience." Sunday

MTS

133,801 views • 1 month ago