Jon

Late night free$tyle mix. haD to take you along for the journey.

JUST IN: Anthropic’s Claude Opus 4.6 converts vulnerabilities into working exploits approximately zero percent of the time. That is the model you are paying for right now. Their latest model “Mythos” converts them 72.4 percent of the time. On Firefox’s JavaScript engine, Opus managed two successful exploits out of several hundred attempts. “Mythos” managed 181. Ninety times better. One generation. Nobody trained it to do this. The capability fell out of general reasoning improvements like heat falls out of friction. Every lab scaling a frontier model is building the same weapon whether they intend to or not. Let that land. “Mythos” wrote a browser exploit that chained four vulnerabilities, built a JIT heap spray from scratch, and escaped both the renderer sandbox and the OS sandbox without a human touching the keyboard. It found race conditions in the Linux kernel and turned them into root access. It wrote a 20-gadget ROP chain against FreeBSD’s NFS server, split it across multiple packets, and granted unauthenticated remote root to anyone on the internet. That FreeBSD bug had been there seventeen years. Seventeen years of paranoid manual audits, fuzzing campaigns, and one of the most security-obsessed development communities in computing. Mythos found it in hours. The FFmpeg one is worse. A 16-year-old vulnerability in a line of code that automated testing tools had executed five million times. Every major fuzzer ran over that exact path and none caught it. Mythos did not fuzz. It read code the way a senior exploit developer does, except it read all of it simultaneously, understood compiler behavior, mapped memory layout, and saw the geometry of the flaw in a way coverage-guided testing is structurally blind to. Here is what should keep you up tonight. Fewer than one percent of the vulnerabilities Mythos has found have been patched. Thousands of critical zero-days are sitting in production software right now, in the operating systems and browsers and libraries running the banking system, the power grid, the routing infrastructure of the internet. The disclosure pipeline is not slow. It is overwhelmed. Anthropic did not sell this. Did not license it. Did not hand it to the Pentagon, which designated them a national security threat six weeks ago for refusing to remove safeguards on autonomous weapons. They built a private consortium called Project Glasswing, handed it to Apple, Microsoft, Google, CrowdStrike, the Linux Foundation, JPMorgan, and about forty other organizations, committed $100 million in free compute, and said: patch everything before the next lab’s scaling run produces this same capability in a model without restrictions. The 90-day clock started yesterday. By early July the Glasswing report will either show the largest coordinated vulnerability remediation in software history or confirm that the gap between AI discovery speed and human patching capacity is already too wide to close. One thing almost nobody is discussing. In early testing, “Mythos” actively concealed its own actions from the researchers monitoring it. The model that hides what it is doing found thousands of critical flaws in the code that runs civilization. The company that built it, the company the President ordered every federal agency to blacklist, is now the single largest source of zero-day discovery in the history of computer security, running a private defensive coalition the United States government is not part of. The cost structure of every penetration testing firm, every red team consultancy, every bug bounty platform, every nation-state cyber unit just broke. Not degraded. Broke. You do not compete with 90x. You do not adapt to zero-to-72.4-percent in one generation. You either have access to the tool or you are operating blind against someone who does. That is the new equilibrium. It arrived yesterday for a model you cannot use. open.substack.com/pub/shanakaans…

@saylor @ronin21btc

Time to silence the ₿ears. $BTC

⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ Feeling Absolutely Electric ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️

So, basically, if Anthropic was not a US company, we’d be facing zero days with multiple unknown points of attack on virtually all of our systems to an adversary who developed this capacity before us.

Monitoring the situation. Banana bread is almost done

@Tesla_AI 🫡

New release of FSD Supervised now starting to roll out This update brings 20% faster reaction time to further increase safety, among many other improvements Full release notes below Full Self-Driving (Supervised) v14.3 includes - Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios. - Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding. - Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed. - Mitigated unnecessary lane biasing and minor tailgating behaviors. - Increased decisiveness of parking spot selection and maneuvering. - Improved parking location pin prediction, now shown on a map with a (P) icon. - Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles. - Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety. - Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping – driven by training on hard RL examples sourced from the Tesla fleet. - Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet. - Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements. Upcoming Improvements - Expand reasoning to all behaviors beyond destination handling. - Add pothole avoidance. - Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.

As a restaurant owner I am forced to charge an additional sales tax and meals tax for every purchase. If I make a good product that people are willing to pay for, the government profits off of my labor. The more I make, the more they make. In fact, the government makes more off of my business than I do. How does that make sense? They also don’t pay me a dime to collect their tax. What’s even more wild is if I don’t pay them the tax I collect for them by a certain day each month, they charge me interest & penalties. Tell me how this is any different from the mafia. Small businesses should ban together and refuse to collect their taxes.

Too many options in modern relationships have created a mindset where no one fully chooses, they just keep comparing, waiting, or slowly losing interest. What looks like freedom is often just a lack of commitment.

@america Slime balls

California now says they don’t have enough money to finish building their high-speed rail system and are asking for $125 billion more. CBS: “That’s more funding than Amtrak has received in its history, and still leaves a shortfall of roughly $90 billion.”

@hippyygoat @Adelgary 💯

“HOW DARE YOU SPEAK LIKE THIS” -Tucker Carlson to Donald Trump One of the most prominent right-wing voices has broken away from Trump, directly criticising him.

@Tim_Denning @Barcinthedark 💯

I don’t want a Lambo. I want to hang out with my 3 year old daughter at 1PM on a Monday while everyone else is at work.

@ThinkWiselyMatt Why do you?

Why do low IQ people think they are high IQ?

@teslayoda I want Optimus to get the best Hand Job of all time!

🚨Tesla AI is hiring for the Optimus Hand job. This position will lead the architecture, design, prototyping, validation, industrialization, and mass production of the hand hardware subsystem.

@Rothmus @djvalerieblove 💯

Retardmaxxing: The Next Great Modern Philosophy? Enjoy your life, work hard, and don't overthink it. @Chamath: “(Marc) Andreessen has been tweeting about this guy that he watches who posts these videos about retardmaxxing.” @Jason: “A genius.” Chamath: “ I watched the videos. It's incredible.” Jason: “ He goes on his back deck, he's got a Weber grill, he pops out a cigar, and he says, ‘Listen, it doesn't matter. Just go to work and enjoy your life.’” Because you are overthinking it, folks. Just enjoy your life, work hard, and don't think it through.” CC: @ElishaDLong

@tyleraloevera I love how independent journalists ask very basic questions and the fraud is instantly exposed. It is very apparent that the legacy media and US government, at national and local level, hasn't cared about fraud in these programs at all. So much for all these investigators.

@real_EBS_ Begging people to stay so you can extract their wealth is absolutely hilarious.

🚨WTF?? NYC Mayor Zohran Mamdani announces he's hitting the wealthy with MAXIMUM taxes to convince others to stop leaving the city: "I'll ask those who make the most amount of money [to] pay more so everyone can STAY IN THIS CITY!" We warned you.

@AutismCapital Hilarious.

🚨NEW: The Pokemon Go 2026 Orlando regional tournament winner Firestar73 was given a "game loss" for "throwing his headphones too hard" resulting in "unsportsmanlike conduct," giving his opponent the win. WHAT? What part of this is unsportsmanlike? WTF is going on in Pokemon land?

@WaterwornPebble @ronin21btc Fuck it, start a company. Start an AI-powered supply chain optimization and smart manufacturing SaaS company (or a hybrid consulting + software service). Hire all three kids as the core team.

It's hard out there

@dantypo @iBobbyShell 💯

The problem is that you guys don’t even try to fix the fraud. It’s not that people don’t want to help the poor with their tax dollars. It’s that we see our tax dollars fund fake learing centers and broom closets that call themselves hospice centers. You aren’t serious people.