Chris
@ChrisGPT • 64,613 subscribers
Agi 2029 - AI Insider / Reporter as featured in Axios • The Information • NYT • Techcrunch
Shorts
Videos
Fable 5.1 - FPS - Remake a call of duty demo from a screenshot One shot, 30 hours.
Chris426,524 views • 1 day ago
The moment the robot passed the human worker, because the human had to take a bathroom break
Chris17,906,805 views • 3 months ago
GPT-6 Astra “uses Unity to assemble a city scene from existing assets, allowing users to easily create an immersive 3D environment to explore that matches their vision.” “Alongside Astra, we are also updating the Codex harness to significantly improve the speed of computer use. Combined with Astra's efficiency, this translates to a 1.9x faster task completion compared to the current GPT-5.6 Sol experience, on the Mind2Web benchmark. “ “The model's improvements on speed mean it can take on many time consuming life tasks for you, faster than you can.*” I’ll admit, others and I have created far more impressive demos, but keep in mind this was done in Unity, which is a much more difficult environment for models to work with. If they weren’t using computer use which would’ve been extremely slow they were likely manipulating the project programmatically through C# and/or Unity’s YAML-serialized scene files which again models are pretty bad at. So this is a solid upgrade from 5.6 - from what I’ve seen unity!
Chris21,513 views • 1 day ago
Sam Altman: Within the next 6 months, a descendant of ChatGPT could: could “continuously watch your screen,” meetings and calls while maintaining the full context of your life and work. “I think we’re only one model generation away from this actually being incredibly useful.” The interviewer asked for his best estimate on timing: “Sometime in the next six months.” He never calls it GPT-6, or part of the Astra family of models. Perhaps the one after given the 6 month timeline. but this is the one of the clearest indicators heading toward AGI, - a persistent multimodal agent that understands all of your work context, what you’re doing, catches mistakes and proactively offers to work for you.
Chris333,696 views • 20 days ago
I absolutely love how Alex pressed Sam on whether OpenAI thinks they’ve already hit AGI internally, and what he actually considers the difference between AGI and ASI. Sam’s answer was basically that declaring AGI doesn’t really mean anything anymore, because every lab and every person uses a different definition. He makes the good point that if you went back to 2020 and showed people a system that could code, help start a company, discover new science and give you a 20 minute win across basically every part of your life, most people probably would’ve called that AGI. I personally still don’t think we’ve hit it, but I agree with his broader point that treating AGI like some single finish line is becoming increasingly meaningless. The way he describes ASI is exactly how I would want him to, AGI is basically a milestone somewhere on the curve, while superintelligence is this continuous ramp of increasing capability that may never really have a final “we won” moment. And importantly, Sam says he sees no sign that this exponential capability curve is slowing down. A few quotes I liked as well: “We’re building AI, but it’s a thing you’re always building. It’s not an end state anymore.” “I don’t want to say we’ve declared victory on the AGI point and moved on.” “The important part of any of this is not any milestone, any term. It’s that we are on this exponential of increasing capabilities and potential.”
Chris37,560 views • 3 days ago
Kimi K3 was already in internal evaluation by April/May, before Fable 5 had been available long enough to be a plausibly distilled. I’ll wait for the evidence from the USG if they’ll publish it. However Kimi already outperformed Fable on BrowserComp, so if K3.1 beats Fable 5 on coding benchmarks, are people going to claim it distilled Fable 6? Obviously it’s not only distillation here. Saying “mythos” would have made a lot more sense but fable ?
Chris560,992 views • 1 month ago
Claude 5 fable (extra high) “Make a Pokémon clone” 1 hour of reasoning, 8k lines - 1 shot This is incredible! All 151 Gen-1 Pokémon real sprites (front/back), party icons, and actual cries Real base stats, types, level-up movesets, evolutions, catch rates, and growth curves! Part 1
Chris1,181,184 views • 2 months ago
Sam Altman on GPT 5: "This morning I was testing our new model and I got a question. I got emailed a question that I didn't quite understand. And I put it in the model, this is GPT-5, and it answered it perfectly. And I really kind of sat back in my chair and I was just like, oh man, here it is moment... I felt like useless relative to the AI in this thing that I felt like I should have been able to do and I couldn't. It was really hard. But the AI just did it like that. It was a weird feeling."
Chris5,664,840 views • 1 year ago
I literally just watched GPT-5.5 via codex beat an Amazon customer associate in real time. 💀 I asked it to get me a refund, and I watched it navigate the settings, cancel the subscription, then it went step further into the help page. I thought it was going to request a phone call (which would prompt me to take over) Instead, it opened: “Chat with an associate now.” That’s when I sat up on my couch because I knew it was going to get real The agent said: “Your subscription is active.” And GPT-5.5 immediately explained that it only shows as active because cancellation leaves access through the billing period, but that I wanted it stopped now and refunded. And my jaw just hung open, it was the first time I watched sand handle a customer service agent for me in real time Once the agent confirmed the refund, it just ended the chat no mercy no thank you LMAO First time I’ve watched a human customer service agent get outmaneuvered by AI in real time. And it made me 15$! almost paid for itself in 5 minutes
Chris1,388,694 views • 4 months ago
The learning curve on this has to be 5x higher than Duolingo 💀 OpenAI should do a study on this
Chris559,873 views • 1 month ago
Sam Altman: “The first one is that we are close to creating a "genie" that can grant any wish” Sam Altmanwas recently asked what the single most important thing to explain to the world about artificial intelligence is. The first one is that we are close to creating a "genie" that can grant any wish (AGI) The second point is to make sure that these wishes are broadly beneficial to humanity. The third point is that the range of wishes is large and diverse. And finally, the fourth point is when we start making wishes, and the computer grants them and we didn’t expect that it would be able to do that.
Chris380,456 views • 1 month ago
Apparently this video has all of X in a frenzy. If it had come out before the AI era, people would be fawning over it as great art, but now they are so clicker trained that any mention of AI sends them into a verbiage frenzy and they anoint anything AI related as slop.
Chris2,750,540 views • 9 months ago
Anthropic had 16 AI agents build a C compiler from scratch. 100k lines, compiles the Linux kernel, $20k, 2 weeks. To put that in perspective GCC took thousands of engineers over 37 years to build. (Granted from 1987 - however) One researcher and 16 AI agents just built a compiler that passes 99% of GCC's own torture test suite, compiles FFmpeg, Redis, PostgreSQL, QEMU and runs Doom. They say they "(mostly) walked away." But that "mostly" is doing heavy lifting. No human wrote code but the researcher constantly redesigned tests, built CI pipelines when agents broke each other's work, and created workarounds when all 16 agents got stuck on the same bug. The human role didn't disappear. It shifted from writing code to engineering the environment that lets AI write code. I don’t know how you could make the point AI is hitting a wall.
Chris1,701,167 views • 7 months ago
Mid journey unveils the future of medical scanning: "Less than a dozen of these machines operating together at full speed can do more full body scans than every MRI machine together on Earth. Our goal is to build a fleet of 50,000 of these scanners, capable together of doing a billion scans a month—enough to bring full body imaging to everyone on Earth." Using thousands of specialized transducers, this prototype system shoots ultra-precise sound waves through the body at over 1,400 meters per second. As these sonic vibrations echo back, they are captured in data streams of 17 gigabytes per second, measuring changes finer than the width of an atom. A massive 2-petaflop compute ring then merges these thousands of sub-images to map out a highly detailed, 3D internal anatomy of organs and tissues in just 60 seconds. "This is a new kind of infrastructure. It’s Full Body Ultrasonic Computational Tomography. No such device has ever been built until now, and yeah, we’re calling it the Midjourney Scanner." My favorite quote from David, was that they want this to be a feel like a genuinely “nice” experience, not a “going to the doctor experience” they’re going to put these inside mid journey spas!
Chris490,079 views • 2 months ago
Claude 5 Fable (Ultracode) I asked it to build a demo of my dream game in Three.js and I'm genuinely shocked 💀 One shot, a full explorable starship with a working cockpit, crew quarters, a planet drifting past real windows, dynamic lighting, sleep/eat interactions, it screenshotted its own work and fixed itself until it hit 60fps on browser Obviously not steam ready but man this is so so far from what we had one year ago…
Chris481,137 views • 2 months ago