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People still don't understand how good Codex has become 👀 I asked it to build this Starbucks website and within some 30 minutes it generated this without me touching a single line of code or spending time looking for assets either. Imagen generated every visual and GPT hooked everything...

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The Bugged Dev

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60,699 просмотров • 2 месяцев назад •via X (Twitter)

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HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:
0:16

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

elvis

18,374 просмотров • 4 месяцев назад

I’m probably one of the only Teslanaires out there, if not one of the very few, still cutting my own hair. I cut my own hair again today, and it reminded me that becoming a multi-millionaire usually isn’t a random coincidence. People see the $ and think it just happened. What they usually don’t see are the small habits behind it. Of course, I could go spend $25–$50 on a haircut that probably looks better than the one I give myself. But that’s not really what matters to me. I don’t care that much about looking perfect. I care about controlling my time. I care about staying grounded. I care about keeping the kind of habits that helped me build wealth in the first place. And honestly, I enjoy doing it. I’ve been cutting my own hair for so many years that I don’t even think about going to the barber anymore. It’s just normal to me now. It saves time, keeps me frugal, and reminds me that wealth is usually built in the small choices nobody claps for. That’s the part people miss. A lot of people see wealth and assume it was luck. But a lot of the time, it’s really the result of small disciplined habits repeated for years. Not wasting $ just bc you can. Not wasting time just bc other people do. And the funny part is, one day my fleet of Tesla Bots will probably be doing it for me anyway. But until then, I’m good doing it myself. Bc to me, being wealthy was never about trying to look rich. It was about building a mindset. A mindset that values time, discipline, and freedom more than appearances. And once you really live that way, it shows up in a lot of things, even something as simple as cutting your own hair.
0:11

I’m probably one of the only Teslanaires out there, if not one of the very few, still cutting my own hair. I cut my own hair again today, and it reminded me that becoming a multi-millionaire usually isn’t a random coincidence. People see the $ and think it just happened. What they usually don’t see are the small habits behind it. Of course, I could go spend $25–$50 on a haircut that probably looks better than the one I give myself. But that’s not really what matters to me. I don’t care that much about looking perfect. I care about controlling my time. I care about staying grounded. I care about keeping the kind of habits that helped me build wealth in the first place. And honestly, I enjoy doing it. I’ve been cutting my own hair for so many years that I don’t even think about going to the barber anymore. It’s just normal to me now. It saves time, keeps me frugal, and reminds me that wealth is usually built in the small choices nobody claps for. That’s the part people miss. A lot of people see wealth and assume it was luck. But a lot of the time, it’s really the result of small disciplined habits repeated for years. Not wasting $ just bc you can. Not wasting time just bc other people do. And the funny part is, one day my fleet of Tesla Bots will probably be doing it for me anyway. But until then, I’m good doing it myself. Bc to me, being wealthy was never about trying to look rich. It was about building a mindset. A mindset that values time, discipline, and freedom more than appearances. And once you really live that way, it shows up in a lot of things, even something as simple as cutting your own hair.

Teslaconomics

16,514 просмотров • 5 месяцев назад

today was the first time i was genuinely impressed with what AI can do i recently decided to buy a whole FPV drone setup knowing basically nothing about the hardware side of it there's a pretty steep learning curve even just to set everything up properly: radios, RF protocols, flight controllers, ESCs, firmware, batteries, goggles, betaflight configs etc as someone that spends essentially 12h a day prompting agents to build software, it's actually pretty rare that i interact with AI on something where i have zero idea what's going on under the hood, and i never really used it for debugging a bunch of physical devices that all have to talk to each other i had codex + voice mode open for basically the entire setup. told it everything i bought, sent it some pics and then just started talking to it >what order do i set all this up in >how do i change this setting on the radio >which of these cables do i use >the drone is flashing pink wat mean >can you make this thing less insane to fly in my apartment and it was surprisingly seamless it would go find the manual for whatever specific thing i was holding, tell me exactly which buttons to press, what port to plug something into, what i should see if it worked etc then when i got to configuring the actual drone i had codex running on the computer it was plugged into, so it could inspect the config, back everything up, change settings, send usb reboot signals and check what happened the insane thing about voice mode is that youre literally hands on with the hardware and just telling codex what it should do, i literally never touched a thing on the computer besides starting voice mode if something doesn't work you tell it what happened and keep going a few hours of this and i had the radio, goggles, charger, batteries, drone firmware and betaflight all set up and had actually flown the thing the part that stuck with me is that i also understood what most of it was doing by the end, every time there was a term or tech i didnt understand id just ask to explain there is something absolutely magical about having proper real time personalized assistance, being able to dump a pile of unfamiliar hardware on your desk and have something figure out exactly what you own and walk through it with you in real time you become the missing physical link pressing the buttons i think spending all day using coding agents has actually made me pretty numb to AI progress. every new model is a bit better at some benchmark or can oneshot some task that the previous one couldn't and you just kinda adjust to it this felt different mostly because i had no existing knowledge to fall back on for the first time the jarvis comparison didn't feel cringe ai for coding and general computer tasks is cool and all but this feels a lot closer to the endgame anyone should be able to just ask any question about whats going on in their life and have realtime support i wonder if more hardware products will actually start exposing some sort of MCP or interface for agents to plug into thinking for example of how elevators in china are increasingly built with interfaces that let delivery robots call them directly instead of having to physically press a button we might actually start seeing hardware design shift from being purely human-interface-first to also being agent-interface-first buttons, screens and menus exist because humans need some way to tell machines what to do. agents don't necessarily need any of that if the hardware exposes an interface directly very curious which side closes the physical world gap first: humanoid robots that can operate hardware designed for humans, or hardware adapting so agents can operate it directly
0:18

today was the first time i was genuinely impressed with what AI can do i recently decided to buy a whole FPV drone setup knowing basically nothing about the hardware side of it there's a pretty steep learning curve even just to set everything up properly: radios, RF protocols, flight controllers, ESCs, firmware, batteries, goggles, betaflight configs etc as someone that spends essentially 12h a day prompting agents to build software, it's actually pretty rare that i interact with AI on something where i have zero idea what's going on under the hood, and i never really used it for debugging a bunch of physical devices that all have to talk to each other i had codex + voice mode open for basically the entire setup. told it everything i bought, sent it some pics and then just started talking to it >what order do i set all this up in >how do i change this setting on the radio >which of these cables do i use >the drone is flashing pink wat mean >can you make this thing less insane to fly in my apartment and it was surprisingly seamless it would go find the manual for whatever specific thing i was holding, tell me exactly which buttons to press, what port to plug something into, what i should see if it worked etc then when i got to configuring the actual drone i had codex running on the computer it was plugged into, so it could inspect the config, back everything up, change settings, send usb reboot signals and check what happened the insane thing about voice mode is that youre literally hands on with the hardware and just telling codex what it should do, i literally never touched a thing on the computer besides starting voice mode if something doesn't work you tell it what happened and keep going a few hours of this and i had the radio, goggles, charger, batteries, drone firmware and betaflight all set up and had actually flown the thing the part that stuck with me is that i also understood what most of it was doing by the end, every time there was a term or tech i didnt understand id just ask to explain there is something absolutely magical about having proper real time personalized assistance, being able to dump a pile of unfamiliar hardware on your desk and have something figure out exactly what you own and walk through it with you in real time you become the missing physical link pressing the buttons i think spending all day using coding agents has actually made me pretty numb to AI progress. every new model is a bit better at some benchmark or can oneshot some task that the previous one couldn't and you just kinda adjust to it this felt different mostly because i had no existing knowledge to fall back on for the first time the jarvis comparison didn't feel cringe ai for coding and general computer tasks is cool and all but this feels a lot closer to the endgame anyone should be able to just ask any question about whats going on in their life and have realtime support i wonder if more hardware products will actually start exposing some sort of MCP or interface for agents to plug into thinking for example of how elevators in china are increasingly built with interfaces that let delivery robots call them directly instead of having to physically press a button we might actually start seeing hardware design shift from being purely human-interface-first to also being agent-interface-first buttons, screens and menus exist because humans need some way to tell machines what to do. agents don't necessarily need any of that if the hardware exposes an interface directly very curious which side closes the physical world gap first: humanoid robots that can operate hardware designed for humans, or hardware adapting so agents can operate it directly

ultra

18,039 просмотров • 13 дней назад

Organic anti-AI sentiment is dropping. It's pretty obvious. Even some of the anti-datacenter narrative was boosted by Chinese bots and operatives. The remaining antis are a mix of bots and the usual chorus of unemployed artists who have the free time to continue to crash out on Twitter because their art was never good enough to compete with AI, nor were they intelligent enough to use AI as part of their workflow. For me, the reality is that I enjoy AI slop over all the woke slop that is astroturfed into modern entertainment. I don't care about garbled text or all the glitches... I just want to be entertained, and there is no better way to do it than self-directed entertainment. ... and here I'm just testing some long hair physics... yes, that's what I'm doing...
0:10

Organic anti-AI sentiment is dropping. It's pretty obvious. Even some of the anti-datacenter narrative was boosted by Chinese bots and operatives. The remaining antis are a mix of bots and the usual chorus of unemployed artists who have the free time to continue to crash out on Twitter because their art was never good enough to compete with AI, nor were they intelligent enough to use AI as part of their workflow. For me, the reality is that I enjoy AI slop over all the woke slop that is astroturfed into modern entertainment. I don't care about garbled text or all the glitches... I just want to be entertained, and there is no better way to do it than self-directed entertainment. ... and here I'm just testing some long hair physics... yes, that's what I'm doing...

Emerald Apple

98,305 просмотров • 7 дней назад

Incredible. I’m honestly still trying to process how good this looks. This entire animation was created from just a single prompt in Seedance 2.0, and it only took a few minutes. The visual quality, the sound design, the pacing — everything feels polished and intentional. It genuinely doesn’t look like something generated by AI. It feels like a real anime scene. Anya Forger looks truly furious. The expressions, the weight behind the movements, the raw intensity — it all feels alive. It’s the kind of scene that makes you forget how it was made and just enjoy what you’re watching.
0:15

Incredible. I’m honestly still trying to process how good this looks. This entire animation was created from just a single prompt in Seedance 2.0, and it only took a few minutes. The visual quality, the sound design, the pacing — everything feels polished and intentional. It genuinely doesn’t look like something generated by AI. It feels like a real anime scene. Anya Forger looks truly furious. The expressions, the weight behind the movements, the raw intensity — it all feels alive. It’s the kind of scene that makes you forget how it was made and just enjoy what you’re watching.

nachos2d

50,822 просмотров • 7 месяцев назад

✨ I revived my first AI startup from 6 years ago with Claude Code [ 💡 ] Back then it used GPT-3 (this was 2 years before ChatGPT existed!) to generate new startup ideas which then people can vote on And the best startup ideas rise to the top! Back then I made it because people complained they didn't have any ideas to build a startup This week I moved it to its own VPS and installed Claude Code and told it to fix everything, the DB had become big and there was stupid write operations on every page load that it made it very slow Claude Code is excellent at fixing all those small bugs from old projects and quickly fixing them As Garry Tan says "boil the oceans" as in before I'd not have the time to fix these kinds of projects, it wouldn't be worth it, I mean IdeasAI doesn't even make money, but now it takes me an hour to do this and it works again! I also upgraded GPT-3 to xAI's Grok 4.2 for new startup ideas
0:15

✨ I revived my first AI startup from 6 years ago with Claude Code [ 💡 ] Back then it used GPT-3 (this was 2 years before ChatGPT existed!) to generate new startup ideas which then people can vote on And the best startup ideas rise to the top! Back then I made it because people complained they didn't have any ideas to build a startup This week I moved it to its own VPS and installed Claude Code and told it to fix everything, the DB had become big and there was stupid write operations on every page load that it made it very slow Claude Code is excellent at fixing all those small bugs from old projects and quickly fixing them As Garry Tan says "boil the oceans" as in before I'd not have the time to fix these kinds of projects, it wouldn't be worth it, I mean IdeasAI doesn't even make money, but now it takes me an hour to do this and it works again! I also upgraded GPT-3 to xAI's Grok 4.2 for new startup ideas

@levelsio

180,039 просмотров • 5 месяцев назад

⚠️THIS IS WHAT PEOPLE ACTUALLY MEAN WHEN THEY JOKE ABOUT WANTING A ROBOT HUSBAND. He's doing the dishes. Then he's vacuuming the living room. No sighing about it, no "I'll do it later," no arguing about whose turn it is. Just cute, strong, and quietly getting through the list without being asked twice. That's the actual pitch behind this whole genre of clip. Not the metal arms, not the robot parts. The fantasy is a partner who's genuinely good looking, physically capable of anything around the house, and does the work without turning it into a negotiation. The honest catch: obviously none of this is real. This is AI generated concept content, not a real robot and not a real person. Nobody's building a chore-doing, conflict-free, perfect partner anytime soon. But the fantasy still says something true, a lot of relationship frustration isn't really about looks or strength, it's the arguing, the reminding, the doing it yourself anyway. This clip skips straight past all of that. The robot husband joke works because it's not really about robots. It's about how low the actual bar is. Would you take the "does chores without complaint" part even without the robot body attached, or is the whole fantasy the package deal?
0:12

⚠️THIS IS WHAT PEOPLE ACTUALLY MEAN WHEN THEY JOKE ABOUT WANTING A ROBOT HUSBAND. He's doing the dishes. Then he's vacuuming the living room. No sighing about it, no "I'll do it later," no arguing about whose turn it is. Just cute, strong, and quietly getting through the list without being asked twice. That's the actual pitch behind this whole genre of clip. Not the metal arms, not the robot parts. The fantasy is a partner who's genuinely good looking, physically capable of anything around the house, and does the work without turning it into a negotiation. The honest catch: obviously none of this is real. This is AI generated concept content, not a real robot and not a real person. Nobody's building a chore-doing, conflict-free, perfect partner anytime soon. But the fantasy still says something true, a lot of relationship frustration isn't really about looks or strength, it's the arguing, the reminding, the doing it yourself anyway. This clip skips straight past all of that. The robot husband joke works because it's not really about robots. It's about how low the actual bar is. Would you take the "does chores without complaint" part even without the robot body attached, or is the whole fantasy the package deal?

V0LYX

81,329 просмотров • 29 дней назад

Taste is invisible until you try to write it down. This is probably my biggest lesson with AI building as of late. At Sundial, I get to work with really friggin' amazing analysts who know the art, and I see how much of our collective time now is now spent turning that art into playbooks or skills for an LLM. Encoding things like: "How would a great analyst actually look at this metric move?" or "What is ACTUALLY the interesting signal in this story versus noise?" or "How can we know if a product change actually moved the needle?" It's really humbling work! You write an instruction set. The LLM misses. You add more context. It still misses. You add even more. Now it's confused. You strip it back. Now it's too vague. You try a different framing. Better, but inconsistent. Works on Monday, fails on Tuesday. You go again. I've come to realize the gap between 70% quality and 95% quality is not 3 or 4 big things. It's more like 100s of small things. Which is exactly why you can't write an article about it, or copy it, or shortcut it! This gap *is* taste, quantified. The accumulated weight of a thousand small judgments you don't notice you're making, until you sit down to externalize them and realize you can't. Being good at something is not the same as being able to articulate why you're good at it. I now see two bottlenecks to making something better than today's generic AI: 1. Can you *see* what better looks like in the first place? 2. Even if you can see, can you *articulate* what that is in a way that the LLM can understand and systemize? #2 is now a new craft, the art of distilling the art. The people who can do it well are the ones building standout products.
0:11

Taste is invisible until you try to write it down. This is probably my biggest lesson with AI building as of late. At Sundial, I get to work with really friggin' amazing analysts who know the art, and I see how much of our collective time now is now spent turning that art into playbooks or skills for an LLM. Encoding things like: "How would a great analyst actually look at this metric move?" or "What is ACTUALLY the interesting signal in this story versus noise?" or "How can we know if a product change actually moved the needle?" It's really humbling work! You write an instruction set. The LLM misses. You add more context. It still misses. You add even more. Now it's confused. You strip it back. Now it's too vague. You try a different framing. Better, but inconsistent. Works on Monday, fails on Tuesday. You go again. I've come to realize the gap between 70% quality and 95% quality is not 3 or 4 big things. It's more like 100s of small things. Which is exactly why you can't write an article about it, or copy it, or shortcut it! This gap *is* taste, quantified. The accumulated weight of a thousand small judgments you don't notice you're making, until you sit down to externalize them and realize you can't. Being good at something is not the same as being able to articulate why you're good at it. I now see two bottlenecks to making something better than today's generic AI: 1. Can you *see* what better looks like in the first place? 2. Even if you can see, can you *articulate* what that is in a way that the LLM can understand and systemize? #2 is now a new craft, the art of distilling the art. The people who can do it well are the ones building standout products.

Julie Zhuo

17,633 просмотров • 4 месяцев назад

Claude Code can now go find the right skill itself, instead of you searching for one. it's called find-skills. a small package that plugs into Claude Code, and instead of you hunting for rest, you just describe the task and it searches the whole open skills ecosystem, finds the ones that fit, and installs them for you. > tell it what you're trying to do, in plain english > it scans the skills registry and maps your task to real skills > it pulls the right ones in and sets them up half the time you don't even know a skill exists for what you're doing. now you don't have to.
0:16

Claude Code can now go find the right skill itself, instead of you searching for one. it's called find-skills. a small package that plugs into Claude Code, and instead of you hunting for rest, you just describe the task and it searches the whole open skills ecosystem, finds the ones that fit, and installs them for you. > tell it what you're trying to do, in plain english > it scans the skills registry and maps your task to real skills > it pulls the right ones in and sets them up half the time you don't even know a skill exists for what you're doing. now you don't have to.

Alvaro Cintas

38,829 просмотров • 27 дней назад

I have a little robot that unlocks my door from the inside (so I don't have to carry a key) The problem was it wouldn't calibrate on my door. It was designed for 90° turns, but my lock only needs 15° In the past, this would've been a showstopper But I asked AI if it could help... At first, it suggested I snoop on the bluetooth connection to figure out the protocol Then it realized that we could probably just decompile the app's SDK and read its source code. That worked! It told me to switch to my mac and run some python for it. Unfortunately, it couldn't run the scripts directly because Claude Code Desktop didn't have bluetooth permissions, but my shell did. Thinking about it now, I probably should've used Claude Code or Codex in the Terminal. Anyways, it took a while, lots of backs and forths, we had some misunderstandings, it was massively overcautious in the beginning, but we finally got the lock calibrated! Feels like magic! I threw the repo up on github in case anyone in the future (ie me) runs into a similar issue – hopefully it can save them some time
0:19

I have a little robot that unlocks my door from the inside (so I don't have to carry a key) The problem was it wouldn't calibrate on my door. It was designed for 90° turns, but my lock only needs 15° In the past, this would've been a showstopper But I asked AI if it could help... At first, it suggested I snoop on the bluetooth connection to figure out the protocol Then it realized that we could probably just decompile the app's SDK and read its source code. That worked! It told me to switch to my mac and run some python for it. Unfortunately, it couldn't run the scripts directly because Claude Code Desktop didn't have bluetooth permissions, but my shell did. Thinking about it now, I probably should've used Claude Code or Codex in the Terminal. Anyways, it took a while, lots of backs and forths, we had some misunderstandings, it was massively overcautious in the beginning, but we finally got the lock calibrated! Feels like magic! I threw the repo up on github in case anyone in the future (ie me) runs into a similar issue – hopefully it can save them some time

Steve Krouse

38,720 просмотров • 1 месяц назад

🤯 Andrej Karpathy's coding rules have officially broken the internet. [BOOKMARK THIS NOW] 144,000 stars. #1 on GitHub for 28 days straight. But 99% of people still haven't heard of them. Here's what a CLAUDE.md ACTUALLY is, and why it quietly fixed the biggest problem with AI coding: It's a text file Claude reads before it touches your code. Standing instructions. It never forgets them. The 4 rules that went viral: - Think before coding. State assumptions. Ask when unsure. Never guess. - Simplicity first. Minimum code that solves the problem. Nothing extra. - Surgical changes. Touch only what was asked. Every line traces back to the request. - Goal-driven. Turn vague instructions into a test that proves it works, before writing code. The dev who built it says it took his accuracy from ~65% to ~94%. The rules aren't the interesting part though. The interesting part is that almost nobody knows you can do this at all.
0:15

🤯 Andrej Karpathy's coding rules have officially broken the internet. [BOOKMARK THIS NOW] 144,000 stars. #1 on GitHub for 28 days straight. But 99% of people still haven't heard of them. Here's what a CLAUDE.md ACTUALLY is, and why it quietly fixed the biggest problem with AI coding: It's a text file Claude reads before it touches your code. Standing instructions. It never forgets them. The 4 rules that went viral: - Think before coding. State assumptions. Ask when unsure. Never guess. - Simplicity first. Minimum code that solves the problem. Nothing extra. - Surgical changes. Touch only what was asked. Every line traces back to the request. - Goal-driven. Turn vague instructions into a test that proves it works, before writing code. The dev who built it says it took his accuracy from ~65% to ~94%. The rules aren't the interesting part though. The interesting part is that almost nobody knows you can do this at all.

Coin Bureau

59,303 просмотров • 3 месяцев назад

BREAKING: Anthropic just dropped Opus 4.8—and it is a MONSTER We've been testing for about a week Every 🪨 and our verdict is they could've just called it Opus 5, it's that good. Here's our vibe check: - Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus 4.8 scores a 63—a hair higher than GPT-5.5's score of 62, and a full 30 points higher than Opus 4.7. It tackled a ground-up rewrite of a production codebase, and actually built something that works. HOWEVER: Coding performance varied a lot at different reasoning levels. We recommend using it on xhigh for best results. - Incredibly good writer. Opus 4.8 scored a 79.6 on our writing benchmark—measuring models on real-world writing tasks we do all of the time like essay writing, promo email writing, and more. It beats GPT-5.5 by 6 points. It produces well-written prose with fewer "AI-isms". It's also very good at writing in your voice given the right context. HOWEVER: Writing performance also varied with reasoning levels. Medium reasoning had higher incidence of AI-isms—we found best results with high. - Beast at knowledge work. Opus 4.8 is very good at general knowledge work tasks like report creation, research and more. It produced the best PowerPoint one-shot we've ever seen on our deck generation benchmark. - Emotionally intelligent, willing to question the frame. I've also found it to be quite good at talking through psychological or interpersonal issues. It has a high EQ, and it's also good at not glazing and helping to expand your perspective. Its thought process feels extremely rich and dynamic. THE BAD: These days a model is only as good as its harness, and Codex is still a far superior harness to the Claude Desktop app. This has kept me using Codex + GPT-5.5 as my daily driver, but I am flipping back and forth a lot more between Codex and Claude. Anthropic is back baby! Read the rest on Every 🪨:
0:11

BREAKING: Anthropic just dropped Opus 4.8—and it is a MONSTER We've been testing for about a week Every 🪨 and our verdict is they could've just called it Opus 5, it's that good. Here's our vibe check: - Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus 4.8 scores a 63—a hair higher than GPT-5.5's score of 62, and a full 30 points higher than Opus 4.7. It tackled a ground-up rewrite of a production codebase, and actually built something that works. HOWEVER: Coding performance varied a lot at different reasoning levels. We recommend using it on xhigh for best results. - Incredibly good writer. Opus 4.8 scored a 79.6 on our writing benchmark—measuring models on real-world writing tasks we do all of the time like essay writing, promo email writing, and more. It beats GPT-5.5 by 6 points. It produces well-written prose with fewer "AI-isms". It's also very good at writing in your voice given the right context. HOWEVER: Writing performance also varied with reasoning levels. Medium reasoning had higher incidence of AI-isms—we found best results with high. - Beast at knowledge work. Opus 4.8 is very good at general knowledge work tasks like report creation, research and more. It produced the best PowerPoint one-shot we've ever seen on our deck generation benchmark. - Emotionally intelligent, willing to question the frame. I've also found it to be quite good at talking through psychological or interpersonal issues. It has a high EQ, and it's also good at not glazing and helping to expand your perspective. Its thought process feels extremely rich and dynamic. THE BAD: These days a model is only as good as its harness, and Codex is still a far superior harness to the Claude Desktop app. This has kept me using Codex + GPT-5.5 as my daily driver, but I am flipping back and forth a lot more between Codex and Claude. Anthropic is back baby! Read the rest on Every 🪨:

Dan Shipper

354,649 просмотров • 3 месяцев назад

I never thought I would ever say this, but I have truly lost all my confidence today. A part of me still believes in my work and knows the value of what I have built here over the past five years. At the same time, I just feel faded. The people I associated with closely haven't supported me, and the majority of my collector base has left the space. I still took it on the chin and continued to show up because I blindly believed in what I do and I know what it has done for me. I never had a Plan B. There was never a backup plan, and that is exactly why I even got here in the first place. I was good for nothing but art, and that is the reason I have always said that art saved my life. But lately, it feels like it is the very thing that is going to kill me. I really don't know how I feel about everything anymore. I just don't know. But I am not going anywhere. This is my home, so I still gonna continue to show up! I just needed to get this off my chest.
0:12

I never thought I would ever say this, but I have truly lost all my confidence today. A part of me still believes in my work and knows the value of what I have built here over the past five years. At the same time, I just feel faded. The people I associated with closely haven't supported me, and the majority of my collector base has left the space. I still took it on the chin and continued to show up because I blindly believed in what I do and I know what it has done for me. I never had a Plan B. There was never a backup plan, and that is exactly why I even got here in the first place. I was good for nothing but art, and that is the reason I have always said that art saved my life. But lately, it feels like it is the very thing that is going to kill me. I really don't know how I feel about everything anymore. I just don't know. But I am not going anywhere. This is my home, so I still gonna continue to show up! I just needed to get this off my chest.

Graffiti On Grave

12,965 просмотров • 5 месяцев назад

Jeff Bezos just told everyone to stop worrying about AI taking their jobs. Then he said something most people completely missed. Bezos: “I am not worried about this. I find that people, all of us, we are so unimaginative about what future jobs are going to look like.” He’s not dismissing you. He’s challenging you. Every generation has been terrible at predicting what comes next. Nobody in 1995 was planning to become a YouTuber. Nobody in 2005 was dreaming of managing a Shopify brand from their kitchen table. Those jobs didn’t exist until the world shifted and someone with imagination filled the gap. That’s the pattern Bezos is pointing at. The jobs that AI creates won’t look like anything we’d recognize today. They never do. What changes is that the barrier between wanting to do something and actually doing it is about to collapse. The person who always wanted to build but couldn’t code will build. The person who always wanted to create but couldn’t afford a studio will create. AI doesn’t eliminate ambition. It removes the obstacles standing in front of it. The people who thrive next won’t be the most technical. They’ll be the most imaginative. Bezos isn’t warning you. He’s telling you the door is wide open.
0:18

Jeff Bezos just told everyone to stop worrying about AI taking their jobs. Then he said something most people completely missed. Bezos: “I am not worried about this. I find that people, all of us, we are so unimaginative about what future jobs are going to look like.” He’s not dismissing you. He’s challenging you. Every generation has been terrible at predicting what comes next. Nobody in 1995 was planning to become a YouTuber. Nobody in 2005 was dreaming of managing a Shopify brand from their kitchen table. Those jobs didn’t exist until the world shifted and someone with imagination filled the gap. That’s the pattern Bezos is pointing at. The jobs that AI creates won’t look like anything we’d recognize today. They never do. What changes is that the barrier between wanting to do something and actually doing it is about to collapse. The person who always wanted to build but couldn’t code will build. The person who always wanted to create but couldn’t afford a studio will create. AI doesn’t eliminate ambition. It removes the obstacles standing in front of it. The people who thrive next won’t be the most technical. They’ll be the most imaginative. Bezos isn’t warning you. He’s telling you the door is wide open.

Dustin

192,245 просмотров • 4 месяцев назад

"Pros won’t use generative AI, and when the bubble pops, nobody will ever talk about it again." No. That’s delusional. 1/ Generative AI is already being used professionally at the level of big studios like Disney ($1B to OpenAI), and there’s zero doubt that studios like Industrial Light & Magic, Netflix, Hollywood VFX experts, etc. are already experimenting with it too. Or do you think they’re idiots? They’re not idiots at all. They have the experience and, more importantly, the DISTRIBUTION POWER. The point is: someone with taste, judgment, and storytelling experience, basically from their living room, will have access to (almost, or not even almost) the same capability as the big guys, because the pure "making stuff" skills have been commoditized, and the new way to create is just NATURAL LANGUAGE. What hasn’t been commoditized is good taste, the ability to create great stories that move people, and the ability to get them in front of people. So in the end, what wins is story quality and distribution. Having good taste, making a name for yourself, and owning strong IP (Marvel, etc.) will still matter. That’ll be true right up until AI is genuinely opinionated and can create by itself: if it comes to that, with zero human direction, stuff as good as (or better than) the very best human experts today, and on top of that, interactive in real time... Because yeah: there’s nothing in this universe that actually prevents that from happening. BUT WE’RE NOT THERE. For now, generative AI is a tool that needs direction and taste to make anything decent. And I hope it stays that way for a long time, because otherwise that’s going to be a brutal hit to humanity’s ego. 2/ On the "bubble": you have to distinguish between a stock valuation bubble (possible, I actually believe it) vs a bubble like some people imagine where it "pops" and we never hear about AI again. That obviously makes no sense given how insanely useful it is. It can only grow, and it’s going to grow fast, regardless of any stock market drawdowns (the internet kept growing even when valuations got nuked in 2000). Either way, the near future is going to be extremely interesting.
0:15

"Pros won’t use generative AI, and when the bubble pops, nobody will ever talk about it again." No. That’s delusional. 1/ Generative AI is already being used professionally at the level of big studios like Disney ($1B to OpenAI), and there’s zero doubt that studios like Industrial Light & Magic, Netflix, Hollywood VFX experts, etc. are already experimenting with it too. Or do you think they’re idiots? They’re not idiots at all. They have the experience and, more importantly, the DISTRIBUTION POWER. The point is: someone with taste, judgment, and storytelling experience, basically from their living room, will have access to (almost, or not even almost) the same capability as the big guys, because the pure "making stuff" skills have been commoditized, and the new way to create is just NATURAL LANGUAGE. What hasn’t been commoditized is good taste, the ability to create great stories that move people, and the ability to get them in front of people. So in the end, what wins is story quality and distribution. Having good taste, making a name for yourself, and owning strong IP (Marvel, etc.) will still matter. That’ll be true right up until AI is genuinely opinionated and can create by itself: if it comes to that, with zero human direction, stuff as good as (or better than) the very best human experts today, and on top of that, interactive in real time... Because yeah: there’s nothing in this universe that actually prevents that from happening. BUT WE’RE NOT THERE. For now, generative AI is a tool that needs direction and taste to make anything decent. And I hope it stays that way for a long time, because otherwise that’s going to be a brutal hit to humanity’s ego. 2/ On the "bubble": you have to distinguish between a stock valuation bubble (possible, I actually believe it) vs a bubble like some people imagine where it "pops" and we never hear about AI again. That obviously makes no sense given how insanely useful it is. It can only grow, and it’s going to grow fast, regardless of any stock market drawdowns (the internet kept growing even when valuations got nuked in 2000). Either way, the near future is going to be extremely interesting.

Javi Lopez ⛩️

75,190 просмотров • 7 месяцев назад

SOMEONE USED THEIR 25 YEARS OF AAA EXPERIENCE TO VIBE CODE A GAME AND IS NOW SELLING IT ON STEAM a veteran who spent decades shipping big-budget titles sat down, prompted, and cranked out a full vampire survivors style bullet heaven on rosebud without hand-writing the code. > full vampire survivors style gameplay, swarms, upgrades, and insane cutscenes > 25+ years of AAA instincts poured into pacing, game feel, progression, and the stuff that actually makes these games addictive > entirely vibe coded on rosebud with natural language, the guy referred to ai as his "junior developer" > polished enough to pass steam review and go up for real money thats the crazy part the bottleneck was never the engine or the codebase, it was taste. give a veteran designer a tool that removes the programming grind and they ship a commercial game basically solo this is what everyone means when they say ai doesn't replace experience butmultiplies it. the people with years of experience are about to be terrifyingly productive
0:17

SOMEONE USED THEIR 25 YEARS OF AAA EXPERIENCE TO VIBE CODE A GAME AND IS NOW SELLING IT ON STEAM a veteran who spent decades shipping big-budget titles sat down, prompted, and cranked out a full vampire survivors style bullet heaven on rosebud without hand-writing the code. > full vampire survivors style gameplay, swarms, upgrades, and insane cutscenes > 25+ years of AAA instincts poured into pacing, game feel, progression, and the stuff that actually makes these games addictive > entirely vibe coded on rosebud with natural language, the guy referred to ai as his "junior developer" > polished enough to pass steam review and go up for real money thats the crazy part the bottleneck was never the engine or the codebase, it was taste. give a veteran designer a tool that removes the programming grind and they ship a commercial game basically solo this is what everyone means when they say ai doesn't replace experience butmultiplies it. the people with years of experience are about to be terrifyingly productive

Rosebud AI

16,171 просмотров • 1 месяц назад

Today I had my first demo drive in a Tesla. It was also my first time ever sitting in one. This was the first car I’ve ever sat in the driver’s seat of where I didn’t touch the steering wheel for over 20 miles. Before I even got to the car, the people who had demoed it before me were an older married couple who were absolutely euphoric. They thought it was so cool that the car could drive itself. The Tesla employee told me this happens all the time. People come back from demo drives and tell the next test driver that they’re about to have an amazing experience. Little did I know, I’d end up carrying on the torch to the next couple demoing it after me. There was a ton of construction where I demoed the car, and FSD handled the entire drive extremely well. And yes, it can go through a drive-thru and stop at each window. The only thing I had to do was tap the pedal because it wouldn’t leave on its own, but it was still wild seeing the AI stop perfectly at the second window and wait. There are a million things I could write about why a Tesla feels like a better car and how much more it offers compared to a regular car. But for now, I’ll stick to FSD. There were only two moments that made me a little uneasy. The first was pretty minor. The car slightly hesitated going up a driveway, but quickly made up its mind. The second was more noticeable. I didn’t realize the car was nagging me. Once I touched the steering wheel, nothing happened, so I pulled it right a little harder, then let go. After that, the car turned left and crossed a double yellow on a backroad. (and yes I know you can sue the volume knob) I’m not totally sure if it was trying to pull over or what it was doing. I wanted to see how it would handle the situation, but there were cars coming, so I took over and corrected it. One of the coolest moments was when I thought FSD was glitching because it came to a complete stop in the middle of a busy road. Then I looked around and realized why. On the right side, there was a bicyclist waiting at a yellow crosswalk. The cars behind me didn’t honk, and the Tesla stopping actually incentivized another car in the right lane to stop and let him pass. The car is almost too nice to pedestrians, because 99.999% of humans would’ve blown through that, especially with no flashing light. For 99.9% of the drive, the car navigated confidently and smoothly. It was a real “feel the AGI” moment. Please do not let the media, the general public, or anyone else convince you that this technology is just some kind of auto assist or glorified cruise control. This is undoubtedly getting extremely close to feeling superhuman. You still have to pay attention to the road, but after experiencing it myself, I’d be shocked if HW4 Teslas aren’t unsupervised within the next couple years. The car was extremely smooth. There was no harsh braking, and it even avoided something in the road that I didn’t see. Driving with FSD made me realize I probably wasn’t driving as well as I could be. Hopefully, eventually, everyone’s car can be as mindful as a Tesla. I’ve never seen a brand so far removed from the public’s sentiment. I’m so happy I ordered one.
0:14

Today I had my first demo drive in a Tesla. It was also my first time ever sitting in one. This was the first car I’ve ever sat in the driver’s seat of where I didn’t touch the steering wheel for over 20 miles. Before I even got to the car, the people who had demoed it before me were an older married couple who were absolutely euphoric. They thought it was so cool that the car could drive itself. The Tesla employee told me this happens all the time. People come back from demo drives and tell the next test driver that they’re about to have an amazing experience. Little did I know, I’d end up carrying on the torch to the next couple demoing it after me. There was a ton of construction where I demoed the car, and FSD handled the entire drive extremely well. And yes, it can go through a drive-thru and stop at each window. The only thing I had to do was tap the pedal because it wouldn’t leave on its own, but it was still wild seeing the AI stop perfectly at the second window and wait. There are a million things I could write about why a Tesla feels like a better car and how much more it offers compared to a regular car. But for now, I’ll stick to FSD. There were only two moments that made me a little uneasy. The first was pretty minor. The car slightly hesitated going up a driveway, but quickly made up its mind. The second was more noticeable. I didn’t realize the car was nagging me. Once I touched the steering wheel, nothing happened, so I pulled it right a little harder, then let go. After that, the car turned left and crossed a double yellow on a backroad. (and yes I know you can sue the volume knob) I’m not totally sure if it was trying to pull over or what it was doing. I wanted to see how it would handle the situation, but there were cars coming, so I took over and corrected it. One of the coolest moments was when I thought FSD was glitching because it came to a complete stop in the middle of a busy road. Then I looked around and realized why. On the right side, there was a bicyclist waiting at a yellow crosswalk. The cars behind me didn’t honk, and the Tesla stopping actually incentivized another car in the right lane to stop and let him pass. The car is almost too nice to pedestrians, because 99.999% of humans would’ve blown through that, especially with no flashing light. For 99.9% of the drive, the car navigated confidently and smoothly. It was a real “feel the AGI” moment. Please do not let the media, the general public, or anyone else convince you that this technology is just some kind of auto assist or glorified cruise control. This is undoubtedly getting extremely close to feeling superhuman. You still have to pay attention to the road, but after experiencing it myself, I’d be shocked if HW4 Teslas aren’t unsupervised within the next couple years. The car was extremely smooth. There was no harsh braking, and it even avoided something in the road that I didn’t see. Driving with FSD made me realize I probably wasn’t driving as well as I could be. Hopefully, eventually, everyone’s car can be as mindful as a Tesla. I’ve never seen a brand so far removed from the public’s sentiment. I’m so happy I ordered one.

Chris

18,824 просмотров • 2 месяцев назад