*The good asker is ... too disruptive for conservatives who defend existing structures, but too undisciplined for revolutionaries who’ve already decided which questions matter*
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halalmoney
halalmoney@stacker.news
npub1vdaz...7rjz
Freedom. Justice. #Bitcoin
https://stacker.news/r/halalmoney
*we think mostly about the ability of tools to implement our will, rather than the conditions that arise from the presence of those tools*
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*We're social animals, and people in general don't want to stray too far from the "Overton window" of their friends and family*
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Interesting but not a word about Chinese offerings.
Is Google The New Leader of the AI Race? 
Gizmodo
Is Google The New Leader of the AI Race?
OpenAI is wounded. Nvidia could be next.
*a moneyless system without balance becomes: ...
Hunger Games with better software*
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*When we focus on the old system, we feed it*
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I used 'ai' to produce this summary about an llm task with 'zero errors'
Sorry, not sorry
Paper: arxiv. org/pdf/2511.09030
The paper "Solving a Million-Step LLM Task with Zero Errors" by Elliot Meyerson et al., on arXiv (arXiv:2511.09030), presents a framework called MAKER for enabling large language models (LLMs) to execute very long sequences of reasoning steps with zero errors. It addresses the fundamental challenge that LLMs have an inherent error rate that makes completing millions of dependent steps without failure nearly impossible when done naively.
Key elements of the approach include:
- Massively decomposing tasks into the smallest possible subtasks to minimize errors.
- Employing error correction and "red-flagging" invalid outputs to discard potentially erroneous reasoning steps.
- Using a voting scheme called "first-to-ahead-by-k" to ensure the correctness of each step through multiple sampled outputs.
- Applying this strategy specifically to the Towers of Hanoi problem with 20 disks, which requires over one million steps, and successfully completing the task with zero errors.
The results demonstrate that scaling LLM-based systems to extremely long tasks is feasible by combining extreme decomposition and error correction, which contrasts with relying solely on continual LLM improvements. MAKER also suggests future research directions for automating decomposition and handling various types of steps and error correlations.
In summary, this work marks a breakthrough in achieving error-free long-horizon sequential reasoning with LLMs by architecting an ensemble-based, massively decomposed process, making it viable for safety-critical or large-scale AI applications [1][2].
Citations:
[1] Solving a Million-Step LLM Task with Zero Errors 
[2] Solving a Million-Step LLM Task with Zero Errors
[3] computational costs increase with ensemble size and error ... 
[4] Solving a Million-Step LLM Task with Zero Errors 
[5] Cognizant Introduces MAKER: Achieving Million-Step, Zero ... https://www.reddit.com/r/mlscaling/comments/1owcnsn/cognizant_introduces_maker_achieving_millionstep/
[6] New paper on breaking down AI tasks into tiny steps for ... 
[7] Future plans to integrate MAKER/MDAP abstractions? 
[8] MAKER Achieves Million- Step, Zero-Error LLM Reasoning 
[9] [PDF] PyTorch: An Imperative Style, High-Performance Deep Learning Library | Semantic Scholar https://www.semanticscholar.org/paper/PyTorch:-An-Imperative-Style,-High-Performance-Deep-Paszke-Gross/3c8a456509e6c0805354bd40a35e3f2dbf8069b1
[10] [PDF] Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training | Semantic Scholar https://www.semanticscholar.org/paper/Sleeper-Agents:-Training-Deceptive-LLMs-that-Safety-Hubinger-Denison/9363e8e1fe2be2a13b4d6f5fc61bbaed14ab9a23
arXiv.org
Solving a Million-Step LLM Task with Zero Errors
LLMs have achieved remarkable breakthroughs in reasoning, insights, and tool use, but chaining these abilities into extended processes at the scale...
Solving a Million-Step LLM Task with Zero Errors
X (formerly Twitter)
elvis (@omarsar0) on X
This new research paper claims to complete million-step LLM tasks with zero errors.
Huge for improving reliable long-chain AI reasoning.
Worth ch...
Paper page - Solving a Million-Step LLM Task with Zero Errors
Join the discussion on this paper page
LinkedIn
New paper on breaking down AI tasks into tiny steps for zero errors | Sneha Bhapkar posted on the topic | LinkedIn
New research on solving a million-step AI task with zero errors
A new paper, “Solving a Million-Step LLM Task with Zero Errors,” shows a metho...
LangChain Forum
Future plans to integrate MAKER/MDAP abstractions?
The recent paper “Solving A Million-Step LLM Task with Zero Errors” (https://arxiv.org/pdf/2511.09030) proposes a new and simple agentic archit...
Deep learning | **Shattering the Illusion: MAKER Achieves Million-Step, Zero-Error LLM Reasoning | The paper is demonstrating the million-step stability required for ... | Facebook
**Shattering the Illusion: MAKER Achieves Million-Step, Zero-Error LLM Reasoning | The paper is demonstrating the million-step stability required f...
You may not become rich through Bitcoin but it will connect you to people who oppose fiat money specifically and injustice generally. This connection is valuable.
*Knowledge production has become cheaper than knowledge verification. It's a real problem*
Stacker News
An MIT Student Awed Top Economists With His AI Study—Then It All Fell Apart \ stacker news
Apparently an MIT student fabricated data on an AI study that got a lot of traction and even made its way to being cited by Congress. The fabricati...
*Like many things in modern life, the edifice of academia is built on norms and cultural standards that no longer obtain. The body is dead but the corpse isn't entirely cold yet*
Stacker News
An MIT Student Awed Top Economists With His AI Study—Then It All Fell Apart \ stacker news
Apparently an MIT student fabricated data on an AI study that got a lot of traction and even made its way to being cited by Congress. The fabricati...
"…state money …is …. backed by a tax base or a fiscal authority."
"When did the Bank of England last meet its 2% inflation target?"
Perplexity: The Bank of England last met its 2% inflation target in September 2024. Since then, inflation has mostly remained above this target, with recent rates around 3.6% to 3.8% in late 2025. The Bank expects inflation to return to 2% at some point in 2026 or later, but as of now, it has not sustained the 2% target since September 2024.
the Guardian
The Guardian view on crypto’s latest crash: it reveals who pays the price for a failing economy | Editorial
Editorial: The bitcoin collapse lifts the lid on a society without opportunity, where risk is privatised and rightwingers sell illusions of freedom...
*Bitcoin represents an antidote to the poison of broken money that drives the masses towards unproductive madness*
TFTC
When ‘your’ government gives you an incentive to do something, it’s not being kind; it’s shaping behaviour, setting a trap or both.
*Ethical questions surrounding consent/identity of the deceased and commodifying grief aside, selling a hollow avatar as “preserving a loved one” feels like an AI psychosis event waiting to happen*
AI avatar app lets you chat with the dead
The Rundown AI
One ship drives east and another drives west
With the selfsame winds that blow.
'Tis the set of the sails,
And Not the gales,
That tell us the way to go.
Like the winds of the sea are the ways of fate;
As we voyage along through life,
'Tis the set of a soul
That decides its goal,
And not the calm or the strife.
The Winds of Fate, Ella Wheeler Wilcox
*Focus is scarce, and I want mine aimed at what matters*
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*Freedom starts with choosing your own colors on the canvas while others debate their chains*
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*The more we can pay bitcoin for the goods and services of our daily lives, the less likely the kyc regime matters*
Stacker News
I executed my most recent bitcoin trade at a coffee shop register \ stacker news
Can I pay in bitcoin? I bought a coffee with sats yesterday. It was impressive how unimpressive it was. I ordered an espresso for myself and a hot ...
Faint signs of a rainbow, but no rain
