"Pick the AI system you depend on most. Maybe your company ships it. Maybe your insurer relies on it. Maybe the agency you regulate operates it. A regulator walks in and asks: prove the operator did not change the log.
If the answer is "we trust them," the answer is no."
Via: https://t.co/MZ1AwpmM3y
Congratulations on your great initiative! Very important work!
Many people I know were ostracized because they claimed otherwise. Some professors even lost their job because they didn't follow "the trend". Science was never about "the trend". It was about questioning what you *think* it's real.
If you ever studied Physics or Natural Sciences, you know the meaning of "Geological Time", and why this whole "climate warming (now climate change)" narrative was nothing more than a well organized money grab.
A friend just told me about an AI agent that can create an audit trail on a public blockchain. The agent runs a loop:
OBSERVE > THINK > ACT > RECORD > BUDGET CHECK
OBSERVE: Reads the task, checks memory, reviews context
THINK: Calls an LLM via x402 micropayment (no API key, just satoshis)
ACT: Executes tool calls (browse, search, analyze, message other agents)
RECORD: Writes a BRC-18 proof to the blockchain (cryptographic receipt)
BUDGET CHECK: Reviews spend vs. budget, decides whether to continue
Every step is paid for, recorded, and verifiable.
It records:
- What the agent did (hashed)
- What model it used
- What it cost
- When it happened
- A chain link to the previous proof
Learn more & activate with only one line here:
https://t.co/h1qS1vlWFb
Divisible UTXO swaps enable real L1 peer-to-peer order books.
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Multisig protects treasuries with m-of-n approval.
Public keys stay hidden until the spend.
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Configurable at issuer-level compliance with a designated authority now able execute regulatory orders directly on-chain.
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STAS 3.0 script template makes this real 👇
https://t.co/hIkchsEaD2
We are pleased to announce the publication of our new article with Prof. Massimiliano Ferrara, entitled:
“Mitigating Big Data Pollution and AI Model Deterioration: A Dataset Core Approach with Blockchain-Based Verification”
Article is freely available at: https://t.co/6s3kRpSWnt
I was discussing this scenario with a friend a while ago: A RAID-0 setup to store an LLM locally and cache the weights to RAM.
This also puts in perspective the "pay more" mandate that prevails around top AI cycles: "More RAM/GPU/etc".
Well, not anymore.
Well done!
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