Chris
@ChrisGPT • 53,202 subscribers
Agi 2029 - AI Insider / Reporter as featured in The Information • NYT • Techcrunch
Shorts
Videos
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
Chris1,177,035 次观看 • 1 个月前
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
Chris1,386,862 次观看 • 2 个月前
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!
Chris488,385 次观看 • 1 个月前
Fable 5 (max) “build a clash of clans clone” Fable absolutely destroys Sonnet 5, and I’ll show that in an upcoming comparison video. I did give it one follow-up while it was working, basically telling it I only needed a demo and didn’t need it to overthink the whole thing, so it ended up being only around 2,500 lines. The funny part is it still grabbed the Clash of Clans assets with no trouble, which genuinely surprised me. I missed this model so much.
Chris263,798 次观看 • 19 天前
Kimi K3 vs GPT 5.6 Sol (extra high) Voxel Death Star trench run I do want to point out that this was supposed to be a static world, but when I gave this prompt to Kimi K3, it said: “Since I can't output raster images, I've done something better: a real-time, fully animated voxel rendering of the assault in a single HTML file. —” So this ended up being an animated competition The way I would subjectively score it is that GPT 5.6 had a better lighting/effects but K3s was much smoother. You can definitely tell open source is getting really good.
Chris50,121 次观看 • 5 天前
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.
Chris1,700,441 次观看 • 5 个月前
GPT-5.6 vs GPT-5.5 on my custom spaceship prompt. I gave both models the exact same custom prompt. This is also the same prompt I previously gave to Fable 5. For context, GPT-5.6 Pro worked for 87 minutes, while GPT-5.5 Extra High worked for 34 minutes and 42 seconds. As I’ve said before, based on great authority GPT-5.6 will be an incremental/soldi improvement over GPT-5.5, not a “Fable killer.” My rough expectation has been that it would trade blows with Fable 5 on some benchmarks, maybe win around half depending on the category, but not clearly surpass it overall. And again fable five will have bigger model smell, but this was expected. After testing this coding output, that view feels pretty accurate. GPT-5.6 is clearly better than GPT-5.5 in several visual areas. The lighting, shading, chairs, object details, and exterior of the spaceship looked noticeably stronger. The scene was also easier to test. I do want to give GPT-5.5 credit though. It built out the rooms much much better and the planets looked better than GPT-5.6’s. It was also interesting that both GPT-5.5 and GPT-5.6 produced better-looking planets than Fable 5 in this specific test. The downside with GPT-5.5 was stability. The game was much glitchier and harder to test compared to GPT-5.6. But when it comes to the core of the demo, which is the spaceship itself, Fable 5 still beat both models pretty comfortably. GPT-5.6 is impressive, but from this test, it looks exactly like what I expected which was a meaningful incremental improvement over GPT-5.5, at least for indie game demos, but not something that replaces Fable 5. In collaboration with Chetaslua
Chris249,713 次观看 • 1 个月前
Coca Cola AI generated ad 2024 vs 2025 Immediately you notice not only the quality and characters are more consistent but the 2025 version is much longer. The company says they used even fewer people to make it (keep in mind it’s better quality and longer) “We need to keep moving forward and pushing the envelope The genie is out of the bottle, and you’re not going to put it back in” I fully agree with Coca Cola, them embracing it early sends a good message to get politicians talking
Chris988,849 次观看 • 8 个月前
🚨 Anthropic CEO Dario Amodei just dropped a massive timeline update at Davos 2026: “I have engineers within Anthropic who say ‘I don’t write any code anymore. I just let the model write the code, I edit it’... - the creator of Claude code recently also said “100% of his contributions to Claude code were written by Claude code” for the month of December Dario then goes onto say: “We might be 6 to 12 months away from when the model is doing most, maybe all of what SWEs do end-to-end.” If the recursive self-improvement loop closes this year, the curve is about to go vertical.
Chris680,496 次观看 • 6 个月前
I don't see enough people talking about this. This is a Tesla on FSD Beta autonomously navigating a McDonald's drive-thru, but that's not the mind-blowing part. The car understands the entire social sequence: It KNOWS to stop at the ordering station. It KNOWS when the order is complete and autonomously pulls forward. At the final window, it leaves the exact moment his card is returned-not when the food is handed over. It's not just following a path; it's recognizing that the transaction is finished. Seriously, тесла, how does this work? Is it parsing audio cues? Recognizing specific hand-offs with vision?
Chris801,420 次观看 • 9 个月前
Claude 5 Fable (Ultracode), third pass on my spaceship demo it added openable cabinets and lockers with stuff actually inside them, sittable chairs, a holographic star map at the desk, tintable windows rounded out furniture, and more! Not to mention full 3D exterior of the ship you can orbit around! This is genuinely mind blowing and people have already adjusted to what AI can do so fast, but this was literally impossible to do 3 months ago.
Chris98,751 次观看 • 1 个月前
🚨 Sam Altman: there's a very important thing happening. I did not expect 3 or 6 months ago to be at this point we're at now” We now have a confirmed reason why OpenAI pulled out of Sora and it was as most of us expected - because they needed to concentrate all of their compute and product capacity into their next generation of models and automated agents. Sam says: "We have a few times in our history realized something really important is working or about to work so well that we have to stop a bunch of other projects. In fact, this was the original thing happened with GPT-3. We had a whole portfolio of bets at the time... we shut down many projects that were working well like robotics... so that we could concentrate our compute, our researchers, our effort into this thing that we said, okay, there's a very important thing happening." "I did not expect 3 or 6 months ago to be at this point we're at now, where something very big and important is about to happen again with this next generation of models and the agents they can power." "We need to concentrate our compute and our product capacity into these next generation of automated researchers and companies... the note under the note is it's about compute. It's always about compute."
Chris243,234 次观看 • 3 个月前
Demis Hassabis on the final frontier for AI in science 🧬 : it’s not just about solving the math, it’s about having the creativity to ask the question in the first place. While coding and math are verifiable and easier to automate, natural science requires a "missing ingredient" that we haven't fully cracked yet. "Coming up with the question in the first place or coming up with the theory or the hypothesis. I think that's much, much harder and I think that's the highest level of scientific creativity.”
Chris12,890 次观看 • 5 个月前
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