I cancelled my $10/mo Calendly subscription and vibe coded my own with Fable for $12,000

Your favorite AI is now your best trading partner INTRODUCING ORUS Orus MCP connects to your Farao and brings market analysis, trading skills and portfolio optimization to your account. Simply connect to Claude or ChatGPT to get started. Now in Beta.

why do you suppose this is?

I usually think we overdramatize the shit out of everything in this space. Every other week something is "the end of crypto" and then life just goes on as usual. But I just had a very long conversation with the incredibly talented white hat hacker @MevenRekt about Anthropic's "Mythos" (its public version will likely be called Fable 5) model and honestly, this one hit different. When some of the most talented white hat hackers and security experts are genuinely concerned about DeFi and crypto security and hence are taking every possible precaution to protect themselves, how could we not be? Quick recap for everyone who missed it: Anthropic built an AI model so ridiculously powerful at finding software vulnerabilities that they kept it locked away, only accessible to 150 handpicked organizations like Google, Microsoft and JPMorgan through a program called Glasswing. That thing has already found over 10,000 critical vulnerabilities across the world's most important software. The public light version of it, not even the full Mythos, found a critical flaw in an established protocol like Zcash within 24 hours. A flaw that had survived four years of scrutiny by some of the best cryptographers on the planet. Now they're about to release Mythos / Fable 5, a first restricted public version with similar capabilities. Think about what that means. The cost and skill required to find exploitable flaws in smart contracts is about to drop to basically zero. For DeFi this should be a massive wake up call. Unaudited protocols will become sitting ducks. Known exploits will get replayed on forks around the clock. Even small projects will get targeted simply because trying costs next to nothing now. Look, I'm not trying to spread panic here and I might be overdramatizing it. But I'm also not going to pretend this isn't serious, so I'm simply trying to wake up as many of you as I can to mitigate the potential damage as much as possible. I spent the last few hours revoking token approvals, moving funds to clean hardware wallets and cutting exposure to protocols I don't fully trust. It is a shit ton of effort and incredibly annoying, but I'd rather feel stupid for being too cautious than lose funds because I was too lazy. It might not be as acute as some people will make it sound. But the direction is crystal clear. If you haven't locked down your security yet, do it today. Not tomorrow, not next week. Today. There is nothing to lose by taking the right precautions now, but a lot to lose in the future if you haven't. Every help in sharing this for max awareness would be appreciated. Don't be the low hanging fruit hackers think you are.

A teenager in the United States started publishing software at 14 in 1998, built the entire online infrastructure for the Occupy Wall Street movement in 2011, joined Google as a software engineer, quit in 2018, and then spent five years writing a C library that does something the entire industry said was impossible. Then she combined it with llama.cpp and shipped the easiest way on the planet to run a large language model on any computer. Her name is Justine Tunney. Here is the story, because almost nobody outside the low level systems world knows what one engineer has built. Justine was born in 1984. She started writing and publishing software at 14, back when distribution meant uploading binaries to BBS systems and chat networks. She picked up the handle jart, which she still uses on GitHub today. She did the work most teenagers her age were not doing. She read the systems programming literature. She studied compilers. She fell in love with C. In July 2011 she registered the @occupywallst Twitter handle and the occupywallst dot org domain. Within weeks the protest movement that began in Zuccotti Park in New York had become a global phenomenon, and her infrastructure was the digital backbone of the entire thing. She handled the social media, the website, the donations, the coordination. She built the platform that pushed the movement to reach millions. After Occupy she joined Google as a software engineer. She worked on TensorBoard, the visualization tool for TensorFlow, and on site reliability for Google infrastructure. She stayed for years. Then in 2018 she left Google Brain to work on a personal project. The project was called Cosmopolitan Libc. Cosmopolitan does something most C programmers would tell you is mathematically impossible. It lets you compile a C program once and have the resulting binary run natively on Linux, Windows, macOS, FreeBSD, OpenBSD, and NetBSD with no modification. One file. Six operating systems. No virtual machines. No interpreters. No recompilation. The technique she invented is called Actually Portable Executable. The implications are wild. Cosmopolitan binaries violate every assumption about how operating systems load programs. They are at once a Windows PE file, a Linux ELF binary, a macOS Mach-O binary, and a shell script. The same bytes run on every platform. For five years she worked on it mostly alone. She funded the development partly through Mozilla's MIECO program, which sponsored her work on Cosmopolitan 3.0, released on October 31, 2023. A month later she shipped llamafile. llamafile is what happens when you combine Cosmopolitan with llama.cpp. You take any LLM weights file in the standard GGUF format, you wrap it in Justine's binary, and you get a single file that runs on six operating systems without installation. No Python. No CUDA setup. No dependency hell. Just one file that you double click and it works. Mozilla launched it as an official project of their innovation group on November 29, 2023. It went viral immediately. The repository, hosted at github .com/mozilla-ai/llamafile, now has 24,600 stars. The license is Apache 2.0. Justine kept shipping. She added GPU support to Cosmopolitan, a task systems engineers thought would require rewriting the whole thing. She added dlopen support, another thing nobody else had figured out. She wrote whisperfile, a single file version of OpenAI's Whisper speech-to-text model based on the same architecture. Her GitHub profile lists projects most engineers would consider impossible. sectorlisp, a Lisp interpreter that fits in a boot sector. blink, the tiniest x86-64-linux emulator on Earth. bestline, a teletypewriter command session library. redbean, a complete web server inside a single zip file. A teenager who shipped software in 1998 grew up to write the C library that the entire local AI movement now runs on top of. She did most of it alone, and most people scrolling AI Twitter cannot name her.

Claude Fable tip: You can automatically stay up-to-date by using "~anthropic/claude-fable-latest" as your model slug

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

It's not FAANG anymore. It's MANGO.

Yes, we see your flame and we light ours from it and then we relight yours if it grows dim. We are a witness and we are enrolling in your belief about the future. Second believer energy is a thing.

One caveat on looping Looping is great for scale, optimization, self improvement, and for systems that are working But when you’re building something new, I think the founder needs to stay in the loop. Before PMF the challenge is figuring out what to build, who it’s for, and whether anyone actually wants it. I technically went through dozens of loops building my MVP, but I was directing the loop the entire time. My thesis is that pre PMF, a lot of the value comes from founder judgment. The small insights, customer feedback, and raw signals are often what shape the product. Keeping a human in the loop helps you spot those raw gems and be more opinionated about the problem and solution After PMF / escape velocity, looping becomes much more valuable because things are working and looking to scale fast.

Both AGI and singularity are appallingly and absurdly poorly defined and if you read kurtzweil you'd realize that it's even more nonsensical than you thought.

This is brilliant but being a witness of what did happen can be true detraumatization whereas shared conviction is closer to the "second believer" that @cyantist talks about at @LongJourneyVC

Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention. anthropic.com/institute/recu…

I'm convinced that 5'7 is peak performance male

While most blockchains are built to shuffle assets around, Rialo is doing something far more powerful: moving information. Real-world businesses run on endless streams of events—payments clearing, APIs firing, AI making calls, sensors reporting every second. The hard part isn’t capturing the data. It’s turning those live signals into trusted, automatic onchain actions. Rialo turns external reality into a programmable execution layer. No more brittle integrations or manual handoffs. Just verified events flowing straight into smart contracts through one clean workflow. The result? Applications that actually react to the real world in real time. Automation that finally leaves the blockchain sandbox and powers actual business operations. This is how blockchain stops being a speculative side-show and starts becoming infrastructure for the real economy. Rialo is building exactly that bridge. @RialoHQ @ericargent31113

230 days until enforcement. If you're creating stablecoins, lets connect on provable and verifiable compliance.

The two skills that survive the AI change will be curiosity and courage, in that order. Those will both be needed and not replaceable.