Mr. D. Bugtweets @debugtweets

90% of value you produce is a tax by your employer. 9 calories of diesel bring you one calorie of food. UBI would cause inflation. What would not? Universal basic land.

Uzi @UziCryptoo

17 hours ago

5% of your food bill is profits for billionaires. 40% of your Energy and Fuel bills are profits for billionaires. 60% of your Rent is profit. 20% of your Mortgage is profit for billionaires. 40% of your wage is taken as profit for billionaires. This is what they are costing

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What can a neuron compute? Real biological neurons are complex, but how capable are they? Using a new method, we found that a single cortical neuron can classify cats vs dogs, recognize spoken words, and solve 10-bit parity, all tasks thought to require entire networks. (1/15)

Land distributism leaves you with more time for art and writing. You could even automate your home aquaponic food production.

Patrick Henningsen @21WIRE

a day ago

So true…

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If we were to scale this to the entire population, we could cancel every other government program, but we'd have self-styled "libertarians" and "fiscal conservatives" crying "statist" because, to them, a state's proper role is to maintain other large extractive institutions.

Mr. D. Bugtweets @debugtweets

2 days ago

For example, much cheaper than programs for the homeless, or prisons, is simply to distribute plots of land, on which to live & grow food. We could cancel all of the other social programs.

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For example, much cheaper than programs for the homeless, or prisons, is simply to distribute plots of land, on which to live & grow food. We could cancel all of the other social programs.

Mr. D. Bugtweets @debugtweets

2 days ago

We could solve a lot more problems for a lot less money, which makes it darkly funny when self-styled "fiscal conservatives" object to "statist" solutions.

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We could solve a lot more problems for a lot less money, which makes it darkly funny when self-styled "fiscal conservatives" object to "statist" solutions.

John Collins @Logically_JC

2 days ago

This one hits hard.

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I like it a lot. Thank you, @Teknium .

Teknium 🪽 @Teknium

3 days ago

Hermes Agent just surpassed VSCode in stars 🤩 Thanks everyone! If you havent checked out the repo yet, check it out here: github.com/NousResearch/h…

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Not to mention that for most workers the biggest tax is the 90% their employer takes. About 10% goes to worker wages.

Or, if not that, maybe just send the Terminators?

My bot scanned repos to find high priority bugs with no comments and no pull requests, chose one, wrote and tested a fix, drafted a PR. I manually confirmed and submitted. What's the cheapest way to provide without making ppl lazy? Maybe issue land on which to grow own food?

Your AI agent just nuked its own sandbox? Cool — blink, and it's back to the moment before things went sideways. A month ago Tencent Cloud open-sourced Cube Sandbox, a microVM-isolated runtime for AI agents. Today's update lands the trio we're most excited about: snapshot, clone, rollback — essentially a time machine and a clone trick for your agent. Checkpoint when the sandbox is healthy, let the agent do whatever, rollback to rewind on failure, or clone to fan out dozens of fully-isolated copies in seconds. Sub-100 ms rollback, dozens of clones in seconds. Same sandbox_id — the agent just keeps going. Shipping alongside it: a "Lobster" WebUI that turns checkpoint timelines, time-travel, and one-to-many cloning into a few mouse clicks. Coming next: built-in high-performance content-aware network control and credential vaulting — so you don't just isolate where the agent runs, you control what it can reach. E2B-compatible. Self-hostable on a normal CVM. ⭐ if it helps. github.com/TencentCloud/C…

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WHY THE F*CK ARE AVERAGE AMERICANS PAYING FEDERAL TAXES IF NONE OF OUR TAX MONEY IS GOING TO BE USED TO IMPROVE OUR LIVES? I don't know about YOU, but I don't WORK to give HANDOUTS to BILLIONAIRES! If the GOP is going to CUT all the programs we PAY for, why should we PAY? My feelings are that our tax dollars should be going to improving people's lives with Universal Healthcare, education, affordable housing, infrastructure, renewable energy, proper care for veterans, childcare! You know, things that will help workers, families, children, and the elderly... NOT TAX BREAKS TO BILLIONAIRES WHO DON'T NEED IT, AND BOMBING LITTLE BOTTLE SCHOOLS AND CIVILIANS IN OTHER COUNTRIES, WHO DIDN'T ATTACK US, OR TRUMP'S RIDICULOUS VANITY PROJECTS!!! So, if you don't get that our tax dollars should be used to benefit all your fellow Americans, and yourself, then you're not gonna understand this, because the point isn't really that we shouldn't be paying taxes, it's why TF should we pay taxes when it doesn't go to the things it should go towards, instead of paying it to the Epstein elite who ARE HOARDING IT TO NOBODY'S BENEFIT BUT THEIR OWN!

We could meet everyone's needs a lot more efficiently if we issued universal basic*capital* in the form of land. Distributism has been unpopular because if people had an alternative, the labor supply would shrink. But once labor demand shrinks, what is the problem?

Scott Santens @scottsantens

6 days ago

New article where I propose we make corporations issue 1.5% new shares each year into a public wealth fund and then sell it all off slowly over the course of the year in order to convert it to cash and issue a $365 monthly dividend to everyone as the Great American Dividend.

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终于有人把LLM的推理黑箱拆开了：只看最终答案和token数根本不知道模型是在真推理还是瞎绕路，准确率相同的模型推理结构可能天差地别，这才是评估的盲区。 论文从根源下手——构建逻辑谜题基准LRM，把原始推理链条解析成有向无环图，节点是论断，边是依赖关系，再定义推理效率指标量化逻辑流的集中程度。 分析DeepSeek-R1等模型发现：同等准确率下推理图复杂度竟能相差数倍，哪个更可靠一目了然。 arxiv.org/abs/2606.03883

A Russian psychologist spent 10 years proving that the act of talking to yourself out loud is one of the most powerful cognitive tools the human brain has, and almost nobody outside his field has read the work. His name was Lev Vygotsky. He worked in Moscow in the 1920s and died of tuberculosis in 1934 at the age of 37. He had no laboratory, no funding, almost no English readers, and a body of work that the Soviet government suppressed for two decades after he died. He produced the foundational theory of how human cognition actually develops, and the central piece of that theory was a behavior almost every adult is faintly embarrassed about. Vygotsky noticed that young children talk to themselves constantly. They narrate their own actions, they argue with imaginary opponents, they instruct themselves through tasks out loud. The dominant theory at the time, from the Swiss psychologist Jean Piaget, said this was a sign of cognitive immaturity that children would eventually grow out of as they learned to think properly. Vygotsky said the exact opposite. He argued that this self-directed speech was the most important cognitive event in the entire developmental window, because it was the moment a child first started to use language as a tool to control their own mind. The child was not failing to think. The child was learning how to think by externalizing the process and listening to themselves do it. He predicted that as children matured, this out-loud self-talk would not disappear. It would go underground. It would become silent inner speech, which is the running monologue every adult has inside their own head for the rest of their life. The voice you hear when you read this sentence is the direct descendant of a four-year-old narrating their own block tower. For 50 years almost nobody outside Russia had access to his work, and the few researchers who did pick it up could not get funding to test it. Then in the early 2000s the experiments finally started to pile up, and what they found was that Vygotsky had been right about something even more important than he knew. The first major study came from Gary Lupyan at the University of Wisconsin and Daniel Swingley at the University of Pennsylvania in 2012. They ran a simple visual search experiment. Participants were shown 20 images at once and asked to find a specific object, like a banana or a chair. In one condition they searched silently. In the other condition they were told to say the name of the object out loud to themselves while looking for it. The participants who spoke the target name out loud found the object significantly faster, with higher accuracy, than the participants who searched in silence. The effect was strongest when the spoken word matched a familiar object the brain already had a strong category for. Saying the word out loud literally tuned the visual system to detect that thing better. The researchers called it the label feedback effect, and the implication was that the act of vocalizing a goal physically changes how the brain processes the world while pursuing it. The second major study came out of the University of Michigan and Michigan State in 2017. The lead researchers were Ethan Kross and Jason Moser, and they used both EEG and fMRI to record what happens inside the brain when people talk to themselves while emotionally upset. They asked participants to recall painful autobiographical memories and reflect on them in two different ways. Some used the first person, saying things like "why am I feeling this way." Others used the third person, referring to themselves by their own name, saying things like "why is John feeling this way." The brain scans showed that the simple act of switching from first person to third person, even silently, decreased activity in the medial prefrontal cortex, the region responsible for rumination and self-referential pain. Within a single second of using their own name instead of the word I, participants showed measurably lower emotional reactivity. The shift required no extra cognitive effort. It cost the brain nothing. And it worked. Kross described the mechanism in his interviews. Talking to yourself by name creates a small amount of psychological distance from your own experience. Your brain processes the situation more like a problem belonging to someone else, which means it can analyze it instead of drowning in it. What Vygotsky had intuited in 1934 turned out to be even more powerful than the developmental theory he built it into. The voice you use to talk to yourself is not background noise. It is one of the most precise cognitive tools the brain has, and you can change how it works just by changing the pronoun you use. People who talk through problems out loud are not anxious or unstable. They are running an externalized version of a process the rest of us are running silently and worse. The kindergartener narrating their block tower, the surgeon muttering through a procedure, the engineer pacing a hallway describing a bug to nobody, the athlete repeating a cue to themselves before a free throw, they are all using the same ancient mechanism that builds and steers human thought. You can run the experiment yourself the next time you are stuck on something hard. Stop trying to solve it silently in your head. Say it out loud. Describe what you are seeing. Walk yourself through the steps as if you were explaining it to a colleague who is not in the room. And when something genuinely upsets you, switch to your own name. Ask why this person is feeling this way, instead of why I am feeling this way. The voice you have been told to keep quiet your entire life is one of the oldest pieces of cognitive technology you own. Most people are still embarrassed to use it.

12. The "Older Than" Mass Purge The Situation: You log in and see 85,000 unread emails spanning back to 2011. You are constantly getting warnings that your "Google Storage is 98% Full," practically extorting you into paying a monthly fee for Google One. This massive, rotting archive confuses Google’s categorization algorithms and bogs down your search. The Mechanics: Spammers rely on digital hoarders. They know that if they can just slip into your inbox, you'll likely never delete the message, allowing their embedded trackers to remain active. Furthermore, scrolling through thousands of pages of emails to delete them 50 at a time is mathematically impossible and soul-crushing. The Fix: Use advanced search operators to ruthlessly and instantly purge the past. Type older_than:2y is:unread category:promotions into the search bar and hit enter. Check the "Select All" box at the top left. A tiny blue text link will appear saying "Select all conversations that match this search." Click it. Hit Delete. You just dumped 40,000 useless marketing emails in three clicks and freed up gigabytes of space.

I believe pretraining models to compile repeated tasks into small reusable neural programs (instead of always solving problems on the fly) is one of the most exciting future directions in AI. Just wrote down my full thoughts on this:

Yuntian Deng @yuntiandeng

6 days ago

x.com/i/article/2062…

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"Self-Trained Verification for Training- and Test-Time Self-Improvement" Reasoning models improve faster with a good verifier, but verifiers can't learn to catch subtle errors on their own. However, a model that can't spot its own mistakes usually can when shown the correct answer. This paper trains the verifier to imitate that "answer-in-hand" version of itself, then runs it without the answer at test time. It roughly doubles accuracy on hard math and lifts science reasoning 14x. Training the generator against this verifier also pushes past where standard RL stalls.

Reinforcing Recursive Language Models Can a 4B model learn to recursively call itself to answer hard long-context questions? We RL fine-tuned a small model to behave as a native RLM. On evidence selection across scientific papers, our 4B RLM matches Sonnet 4.6 in quality while running significantly faster and cheaper.

Workers who have the domain knowledge can automate their own work. And they should do it before someone else does.

alphaXiv @askalphaxiv

5 days ago

"Agents' Last Exam" With how AI keeps acing benchmarks, yet that hasn't turned into real economic value, the authors of this paper say the benchmarks are the problem, since none measure sustained work on real professional jobs. So they built ALE: 1,000+ long, real tasks across

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