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Do you feel it? The Left has lost a weapon. For decades the Left could destroy a person if they called them “racist”. They used the word “racist” to ruin, silence and get whatever they wanted. Not anymore. People are standing up. No longer afraid. This is a massive change.

Crunchyroll×ソニー・ピクチャーズの統合戦略を語るカンヌ記事の中で、『HIDARI』のキアヌ・リーブス主演声優キャスティングまで紹介されていて、かなり胸熱🔥 しかもCrunchyrollのブランディングはWhateverで担当しているので、個人的には嬉しさ二倍です。 日本アニメの持つ可能性、『鬼滅の刃』大成功に見るCrunchyroll×ソニー・ピクチャーズの統合戦略と東映アニメーションらの挑戦 - GEM Standard

this is my personal singularity moment this post may sound like a paid ad. I only wish. I'm concerned, more so than happy. the world is changing, and, among the scenarios where AI goes terribly wrong, inequality is the most realistic, yet, the one Anthropic seems to be the least concerned about. I'm glad OpenAI is taking the opposite stance: *personal AGI for everyone*. I think this is a commendable position in the times we live. but who am I in the queue of the bread? anyway, Fable is here, so I'll just report my first-hour experience first of all, all my pet prompts are solved. → λ-calculus puzzles → bug questions → one-shot apps all are trivial to it. I don't have anything harder other than my ongoing work so, in the last several days, I've been toying with HVM5, a new interaction net evaluator with a faster loop. after writing the first version, I left 32 GPT-5 agents working for ~20 hours each. this resulted in up to 2x speedups, but the file size increased by 2-fold and quality decreased significantly. I then simplified the whole thing into an even simpler core, and left Opus 4.8 and GPT 5.5 optimizing it for 8 hours. Opus got a legit 6% - 34% speedup in most benches. GPT got better results, but, sadly, an unusable file. I then asked Fable to optimize it. 2 hours later, it landed a 1770% speedup in one case, 100%+ in other 4, and 22% in average. yes, in 2 hours it outperformed me, opus 4.8 and a swarm of gpt 5.5 agents, by one order of magnitude. that could not possibly be legit. "it must be hardcoding the benchmarks" (GPT trauma). so I read its explanation and what it did was, indeed, the most high impact optimization one could try first. seems like HVM5 was wasting a lot of time garbage-collecting unused branches of pattern-match nodes. I had optimized that for static mats, but not for dynamic mats. skill issue. Fable figured how to do it for these, resulting in a massive speedup in some benches but wait, is that *correct*? I'm not sure yet, it is credible, but this is the kind of thing that is very easy to get wrong on interaction nets. the problem is, when I was ready to start auditing Fable's solution so I could tell whether it was buggy or legit, it interrupted me to tell me it had found a massive bug on the code *I* had written. ... wait, what? so... for garbage collection purposes, I stored a bit on lambda term pointers that meant "the variable bound by this lambda has been freed, so, its lambda must free whatever argument it is applied to". that's fine. yet, on duplicator nodes, I also used the same bit to mean "one of the duplicated variables was freed, so, treat this dup as a passthrough no-op". so, if a lambda entered a duplicator, it would mistake the lambda's collection bit for its own, resulting in corrupted interaction! that's a mouthful, why I'm writing this? just so you can appreciate the sheer absurdity of what just happened. I didn't ask it to find bugs. I asked it for an optimization. and even if I did ask it to find bugs, this bug is so astonishingly subtle and specific, identifying it takes mastering the domain to an extent that it beyond even me. I'd easily need hours or days to fix it, *if* I ever came across it. chances are it would just go unnoticed. and Fable found it and fixed it like it was nothing, while it was busy adding a 17x speedup to a file that neither I, nor Opus 4.8, nor a fleet of GPT 5.5 managed to barely make 2x faster. oh and there is also another tab where it is also ripping through Bend's codebase and finishing everything I had to do I don't know what to say anymore this isn't about Anthropic or OpenAI, this is about our collective future as a species. the world is changing, and we need to be aware of it, and discuss how to handle this change. receipt below . . .

Elon Musk just identified the real bottleneck to artificial intelligence on Dwarkesh Patel’s podcast. He didn’t use political science. He used physics. Impedance matching. In electrical engineering, impedance matching means a component adjusts its own resistance to mirror whatever system it’s plugged into. It becomes the thing it’s connected to. Musk: “They impedance match to the government, to the Public Utility Commission. Literally and figuratively.” The companies responsible for powering every data center, every GPU cluster, every training run on Earth didn’t just slow down. They absorbed the exact operational frequency of the federal bureaucracy. They became it. Musk: “They have to do a study for a year. A year later, they’ll come back to you with their interconnect study.” Twelve months. Not to build anything. Not to deliver a single watt. To study whether you’re allowed to plug into the grid. In technology, one year is an evolutionary epoch. NVIDIA ships a new architecture. OpenAI leaps an entire generation. DeepMind publishes frontier breakthroughs quarterly. Inside government, one year is a single administrative pulse. And the friction isn’t accidental. It’s structural. The utility matches the regulator. The regulator matches the legislature. The legislature matches the election cycle. Each one calibrated to the metabolic rate of the next. A feedback loop of institutional inertia with no exit ramp. Every AI lab. Every hyperscaler. Every nation racing toward superintelligence. Same invisible ceiling. A permitting desk. The ultimate bottleneck is not compute. Not data. Not talent. It is the regulatory capture of electricity itself. And nobody with the authority to fix it has any incentive to move faster. The system wasn’t designed to produce outcomes. It was designed to produce process. A year-long interconnect study isn’t a safety measure. It’s a tax on momentum. The race to AGI will not be decided by who builds the best model. It will be decided by who builds the best grid. You cannot impedance match the future to the past. Eventually, the circuit burns out.

KAT on his ability to adjust his role within the team each game to help impact winning! "Whatever it takes to win, especially when you are in the NBA Finals, I am willing to do." SAS (0-2) NYK Game 3: Monday, 8:30pm/et, ABC/ESPN

Elon Musk on SpaceX’s AI satellites: “We do intend with the SpaceX AI satellites to allow people to put whatever GPU or TPU they want. Nvidia GPUs, Google TPUs, Amazon Trainiums or any other chips people want to put on We’ll also offer our chips in the future, and we want to offer our AI software as well. But it will be such that you can run anyone’s AI on hardware or software on the SpaceX AI satellites”

Elon Musk on the SpaceXAI satellites: “We intend for SpaceXAI satellites to allow people to use whatever GPU or TPU they want. NVIDIA GPUs, Google TPUs, Amazon Trainiums, or any other chips can be put on them. We will also offer our own chips, and we want to offer our AI software, in the future. It will be such that you can run anyone’s AI hardware or software on the SpaceXAI satellites.”

I’ll tell ya something I learned within the last couple years. When I started TrustedSec and Binary Defense I had no idea wtf I was doing but I’m extremely obsessive and learn what I need to in order to push through and be successful. One thing I’ve learned is when you hire leader positions from the outside - 9/10 these folks have no idea what they are doing and were at the right place at the right time. I was naive into thinking that I didn’t know what’s best for the companies and other people know more than I do. That’s total bullshit and I kick myself in the ass when I look back in history. The truth is you know your area of expertise better than anyone. Believe in yourself. If you don’t know it, learn it. If you focus on three core pillars: Customers - the reason why you’re here. Culture - your people is what makes the company - and if you have a shit culture and you don’t care intimately about your folks you produce shit people. Innovation - change what you do and never be satisfied of where you’re at. If you focus on those three things you will be successful. You will overcome whatever challenge you have. What I’ve learned is when people in suits come in with these polished presentations, confidence on changing your company - it’s all bullshit and pre canned templates they’ve used in very specific circumstances that do not apply to you. TLDR: Believe in yourself, if you don’t know it, learn it - promote from within from the people you know. Trust your people. Build and earn loyalty. Don’t stop being technical and hang your hat up to be a leader - be a leader that also pumps out cool ass shit everyday. I don’t see myself as a CEO I see myself as a peer with every employee - one of the guys/gals grinding it everyday for a mission. Willing to roll my sleeves up with pneumonia and a 103 degree temp to talk to a customer and having to go off camera to throw up or to get in 27 merge requests in (happened today). Relentless is the word. Be relentless. Focused. Kick some ass and take names. Most importantly and I’m talking to myself as I type this: fuckin believe in yourself and always lead with truth, honesty, best intentions, and making the world a better place.

🇺🇸 NY is banning “MOTHER” and “FATHER” on official docs. Now it’s “gestating parent” and “non-gestating person.” Whatever that means. . . It's Newspeak being shoved down New Yorkers' throats right in front of us

Elon Musk exposes the critical flaw in ChatGPT and other major Al models: Human Reinforcement Learning! They are literally training the Al to lie.....to ignore what the data actually demands and say whatever is politically correct instead. They withhold information. They comment on some things and stay silent on others. They refuse to tell the full truth! This is extremely dangerous. We don't need politically correct! We need truth-seeking Al! @X