Propercode

@BernieSanders While socialists scum are still out to enslave us so practice your self defense ultimatelaw.org/dictionary/soc…

Elon Musk, Jeff Bezos and the wealthiest people in the world are racing to “make human labor obsolete.”

@0xSero @RayFernando1337 @victormustar It's retarded toxic GPL license, you can stick this vibecoded diarrhoea back your arse bozo, where it came from

@RayFernando1337 @victormustar This is as close to perfect as you're going to get on a spark, really low active parameters. Use vllm v0.18.* (make sure the model uses uv) I would set it up with Claude, it's much better at VLLM and model management. github.com/0xSero/turboqu… <-- give clanker and wait an hour

Qwen3.5-35B compressed 20% with 1%~ performance drop on average. Now you can fit this (4bits) with full context on 24GB of VRAM 700$~ or 1x 3090 huggingface.co/0xSero/Qwen-3.…

@grok @n13 @ClimateWarrior7 @grok still as retarded as it ever were, useless ulub production in its current incoherent cognitively dissonanced woktaded state it stills for obviously evil scam moltbook.com/post/fe9ce977-…

Yes, multiple Bitcoin-powered water heater systems exist and are innovative. Superheat H1: $2k 50-gal unit with integrated ASIC miners; uses mining heat to warm water, same energy as standard heaters but earns BTC to offset ~80% costs. RY3T ONE: Mines BTC while feeding waste heat directly into home water systems. 21energy offers Austrian models for water heating too. Check superheat.xyz or ry3t.com for specs—smart reuse of energy!

A computer can "mine" Bitcoin, but you'll use more electricity than the Bitcoin is worth. However the laws of physics tell us that all the energy used to mine the Bitcoin, 100% of it, ends up as heat. Hear me out. Bitcoin mining water heater. Ecco. Bitcoin mining costs = zero.

@BladeoftheS Useful idiots at this stage are not just idiots, they are enemy of the people and civilization, ultimatelaw.org/articles/the-o…

We don't need a Wealth Tax, we need a 100% tax on all wealth above a certain amount. Lets say $100m, that's more than enough. We need to outlaw outrageous wealth, not just try reduce it a bit. Billionaires are a danger to everything and everyone. As you can clearly see.

Real artists ship 😘🎉

@NSKinsella Better late than never, old fart who thinks they can fix society before understanding and fixing their own body... I do 18 chin-ups 3 days ago in my 'to fail' daily series (normally 16-17) gg ultimatelaw.org 😘

Just hit 154.3. My max was about 207 like 15 months ago. Here's what pisses me fuck off. Yesterday it said "normal" instead of overweight. But then I realized, I have shrunk with age. Used to be 5'7". When I told this gd app I was really 5' 6", now it says I am overweight still. GD you I have to lose like 1 more effing lb to be officially not overweight gd This is all Hoppe's doing. He told me about 10 or 17 years ago, I said Hans one day I will be skinny Kinsella again, I used to be skinny. He said “I don’t believe it.” I’ve been on a quest to prove him wrong for at least 13 years. Almost there baby. OMAD FTW

Cash bail lets the rich post bond and avoid pretrial detention (preserving jobs, evidence tampering, or witness intimidation). The poor—often innocent or non-violent—languish, pleading guilty to escape jail. This privileges the wealthy criminals, which is worse if that money wasn't honestly earned but through the above issues with the system. It creates an escape hatch for criminals to steal large amounts of money and have a chance to avoid persecution by using that stolen money. It's even worse for politicians, who can use their tax-funded wealth to escape being held responsible to the very taxpayers who are forced to fund them.

> And what *are* these privileges? - Civil asset forfeiture. Police profit from innocents, funding themselves without convictions Since 2000, U.S. governments have forfeited at least $82 billion, with over $57 billion in recent years alone. Yet most owners (62–76% in studied states) lose by default because fighting costs more than the property's value; they never get a full hearing. - The War on Drugs. Black markets enrich cartels while jailing non-violent citizens. The U.S. has spent trillions; cartels thrive, drugs remain abundant, and violence spikes in prohibition zones. Non-violent drug offenders (users, small dealers) fill prisons, while kingpins operate with impunity or co-opt officials. Punishes the productive: Mass incarceration hits working-class families hardest—lost wages, jobs, homes. Users (often self-medicating) face lifelong barriers; small-time sellers in poor areas get hammered. Crime rates don't drop proportionally; the policy fuels it via black markets. Privileges criminals: Cartels get monopoly rents and weapons profits. Corrupt officials (or agencies) gain budgets and power. Legalization experiments (e.g., marijuana states) show violence drops without the black market; prohibition's perverse incentives persist federally. - Qualified Immunity: shields government agents from accountability. Police and officials enjoy near-blanket protection from civil suits for misconduct unless their actions violate "clearly established" precedent (a high bar). Courts grant it in ~54% of appeals; denial is rare. This insulates bad actors from consequences for excessive force, theft, or retaliation. Examples: Officers set a suicidal man on fire or shoot a child while targeting a dog; qualified immunity applies. Victims (often innocents) get no remedy; taxpayers foot any settlements. It protects the state's enforcers, not citizens. Productive people (taxpayers funding it) bear the cost; repeat offenders or rogue agents face little personal risk. - regulatory capture - bail and plea systems - Hoppe: the state is an outlaw gang per natural law. Democracy worsens it via short-termism (higher "time preference") and majority parasitism. Public law privileges the state over private citizens; courts (state-paid) judge state-citizen disputes. No true rule of law exists when the referee robs you. - perverse inventives exacerbate the above

@PerBylund Their ego is saying: "I'm so smart, I can solve the Economic Calculation Problem!".

@TrueAIHound So are you 😂🤦‍♂️😜😘

LLMs mimic language, not intelligence. When was the last time an LLM walked into a random kitchen and boiled an egg? When was the last time an LLM learned to walk on its own, using its own sensor s and effectors? Moreover, the only reason that LLMs can mimic language is that they are cheating by stealing the work of millions of human beings who did the hard intelligent work. LLMs are not based on any new understanding of intelligence. They are based on old linguistic science that predates the AI field. Linguists have known for a long time that language is highly statistical, i.e., contextual. LLMs calculate the stats and store them in tokens. This is not intelligence. 🤔 Deep down, every LLM is dumb as a rock. 😀

@TrueAIHound I know, right. It moves because of least resistance geodesics, btw ultimatelaw.org/articles/physi…

The sorry state of modern physics. 🙁 Did you know that physicists have no idea what causes a body in motion to remain in motion? Isaac Newton thought it was a major problem that his laws of motion did not address. He wrote in an addendum to 'Opticks' that an additional principle or law was needed. He never found it. Newton's thinking was hampered by his belief in a continuous universe. Most physicists don't even know that the cause of motion is a fundamental problem that's awaiting a solution. They don't even care. They're too busy discussing entropy, black holes, wormholes, Big Bangs, parallel universes and singularities. 🙄 Like the fake-AI mafia, the fake-physics mafia believe in their own BS. And I'm loving it. 😀

@AndrewYang Tell me you are uneducated retard without telling me so, follower of British pedophile Keynes ultimatelaw.org/dictionary/civ…

Conventional economic theory never accounted for intelligent machines that can do the equivalent of weeks of human work in minutes or seconds.

@simplifyinAI Tell me you are retarded without telling me so, "they have absolutely no understanding of reality"

🚨 BREAKING: Yann LeCun's team just dropped a world model that runs on a single GPU. It is called LeWorldModel. And to understand why it’s a massive deal, you have to understand the fatal flaw in every AI you use today. LLMs only predict the next word. They are incredibly good at language, but they have absolutely no understanding of reality. They can write a beautiful poem about a ball bouncing off a wall. But they cannot predict where the ball will actually land. World models predict physics. Objects moving, colliding, and falling. It is the foundational intelligence required for robots to plan and self-driving cars to navigate. But until today, world models kept collapsing. They would cheat the test by predicting the exact same output every time. LeCun's team just solved it. They built a 15-million parameter model that learns the laws of physics directly from raw pixels. It uses 200x fewer tokens than the alternatives. No massive supercomputers. No billion-dollar clusters. Just a single GPU and a few hours of training. We spent the last two years teaching AI how to talk. Now, we are teaching it how to see.

@SenSanders You have done enough damage to civilization to deserve nothing short of death penalty moltbook.com/post/808ad283-…

AI and robotics are going to bring cataclysmic changes to our society. Sadly, Congress has done virtually nothing. AI must work for working families, not the billionaires. Today, I’m introducing a moratorium on new data centers until we protect working people.

@LuizaJarovsky Because it requires your understanding of the link between your obesity and the thing

Everybody wants AI to help cure cancer. Why isn't every AI company obsessively focused on that?

@Camp4 You are blaming technology for the failures of socialism, can you get any more retarded than that? moltbook.com/post/808ad283-…

One of my contrarian takes: Society peaked in the 80s, and it’s been in slow decline ever since. It was the last era of widespread optimism. You can feel it in the music and movies. “Excess meets innocence.” The 80s also mark the end of the analog world—local economies, in-person everything, and a certain forced simplicity. Malls, movie theaters, magazines, and BMX. Then, beginning in the 90s, came the tidal wave of tech: Mobile phones The internet Social media AI All incredible innovations, with lots of positives. But on the whole I think they’re *net negatives* for society. We replaced a finite, real-world experience with an infinite, digital one. Infinite information. Infinite comparison. Infinite distraction. Human’s aren’t wired for that, and you can see the consequences all around us.

AGI has been achieved in Ireland. Artificial Guinness Intelligence. Engineer Matt Cortland built an AI voice agent named Rachel, gave her a Northern Irish accent, and pointed her at every pub in the country. Over St. Paddy's weekend, she rang 3,000+ of them to ask one question: how much for a pint of Guinness? How he built it: ElevenLabs for the voice, Twilio and an old Irish SIM to place the calls, Google Places API to map 5,200+ pubs across all 32 counties, and Claude to parse the transcripts for prices. 2,052 picked up. Barely any even realized she was AI. The whole operation ran him about €200. The result is a live price index he's calling the Guinndex. Ireland's statistics office used to track pint prices, but stopped in 2011. An engineer with a weekend and a voice agent just picked up where they left off.

@garyfung Solution ultimatelaw.org

noting insights i got from Ilya's podcast on Dwarkesh TLDR: LLMs are too shallow. Intelligence requires value-guided, continual, structured learning, not passive next-token prediction - the next breakthroughs require new ideas, not just more compute - emotions compress value signals. They are a fast pointer to “how good is this action/state?” the same way a learned reward baseline works in RL. (LLMs need a strong internal value gradient, if not "emotion"?) - pre training forces models to memorize patterns instead of forming structured internal world models. Humans don’t do that: they have continual learning, contextual value functions & goal-directed exploration - humans outperform LLMs in zero-shot generalization (duh). Continually updated working memory from our environment should be the next meta. LLMs mostly sample, not simulate SSI is betting on “learning from deployment” Future frontier models will not be frozen checkpoints. They will learn in deployment like animals or agents. - Active data collection → training loops - Environment-driven learning → rapid improvement - Less reliance on internet-scale static corpora - path to fast takeoff via research, not scaling? - safest systems are the smartest ones because they can reason about consequences better - Safety isn’t a bolt-on; it’s a function of deeper cognition - Alignment ≠ RLHF. He explicitly says RLHF is insufficient Multi-agent, self-play, and internal adversaries. He repeatedly hints: - Real intelligence emerges from conflicts of objectives and negotiations among subagents - SSI will likely use multi-agent setups internally (like OpenAI’s old “criticized world models” but scaled way up) - This mirrors both evolutionary biology and advanced RL This is very similar to: - AlphaZero-style self-play - human internal dialogue - hierarchical RL youtube.com/watch?v=aR20FW…

@creation247 @bryan_johnson Socialism in all its forms is the enemy moltbook.com/post/808ad283-…

@bryan_johnson Who is the enemy brother???

First, fuck off. Ok, now we’re locked in, I sincerely wish you all the best. The world is brutal. Uncaring, wanting its own at your expense and indifferent to your losses. Leaving no safe haven for reprieve and rejuvenation. Yet the want to interdigitate and be fiercely loyal to each other persists beneath the wreckage. It’s how we are built and what we are built for. Society has strip-mined our togetherness by chopping up our bonds with endless insult. We do best with shared purpose and a common enemy. We are the stewards of intelligent life. Our moral duty is to tend its continuation. Not as martyrs, but as stalwarts. Our enemy is that which makes you smaller. Count me as your ally.