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After more than a year of back-and-forth, the final draft is here—incorporating 126 last-minute amendments requested by Democrats just 24 hours before the vote. 🤯
Key updates in the final text:
Strict Ethics Oversight: Expanded restrictions now cover federal officials, judges, and spouses, with Senator Lummis noting Trump opted in voluntarily.
Banking Safeguards: Treasury gains authority to step in if high-yield stablecoins start draining liquidity from community banks.
Builder Protections: Civil safe harbor provisions have been strengthened to explicitly cover crypto miners and network validators.
Market Integrity: Added guardrails target conflicts of interest and affiliate trading while leaving state consumer protection laws intact.
Does it have enough momentum to secure 60 votes tomorrow? 👀
"Gain-of-Function Vaccine research has created the worst plagues in our history."
"We can go down the whole list of diseases... It’s just a disaster. It’s given us no benefits. It’s given us everything from Lyme disease to Covid, and many many other diseases. RSV, which is now one of the biggest killers of children, came out of a vaccine lab."
"There’s strong evidence that even Spanish flu came from vaccine research."
"There’s plenty of evidence that HIV also came from a vaccine gain-of-function lab program. "
"The 'PANDEMICS' are coming from labs... ALL OF THEM."
🚀The industry has gotten incredible at teaching robots to move, sprint, and imitate body dynamics. But as Michael Parker (@bittensormax) points out in The UMI Thesis, there’s still a massive missing piece in Physical AI: Motion Understanding.
✨ Key Takeaways:
🔹Looking Human vs. Understanding Humans: Robots can execute impressive physical feats, but they still struggle to reliably read non-verbal human cues in context.
🔹Motion is Meaning: A gesture, hesitation, or glance changes completely depending on posture, timing, and surrounding context.
🔹Beyond Pixels: True intelligence requires mapping human intent and sequence across time—not just processing raw frames.
🔹The UMI Intelligence Layer: As robots enter hospitals, factories, homes, and stores, Bittensor’s SN78 @umi_sn78 UMI (Universal Motion Intelligence) aims to own the critical layer that translates human movement into real meaning.
The future of robotics isn't just about how machines move—it's about how ...
Chutes is gaining attention as a decentralized AI inference platform that claims to combine real usage, cryptographic verification, confidential computing, and open-source infrastructure into a working production system. The thesis is simple: instead of trusting Big Tech clouds with AI workloads, users get a distributed compute layer built around verification and privacy.
🔑 Key points
🔹 Chutes is live in production and reportedly scaled to more than 1,170 active GPU nodes, including large numbers of Nvidia H200s and Blackwell-class hardware.
🔹 The platform says it has processed nearly 38 trillion tokens since launch across 53 deployed applications and more than 700,000 registered users.
🔹 The team reportedly cut unprofitable usage programs, reduced total token volume, and still improved revenue efficiency, with revenue per GPU rising sharply after removing subsidized traffic.
🔹 Chutes is using post-quantum cryptography, trusted execution environments, and Nvidia confidential ...
A new clash is emerging between legacy finance and crypto legislation after JPMorgan CEO Jamie Dimon reportedly warned that the CLARITY Act could let crypto firms offer bank-like products without bank-level oversight. The dispute is quickly turning into a larger fight over regulation, competitiveness, and who controls the future architecture of digital finance in the United States.
🔑 Key points
🔹 Jamie Dimon reportedly called the CLARITY Act a threat to the financial system, arguing it could allow crypto firms to offer yield-like products while avoiding the capital, reserve, and oversight burdens traditional banks face.
🔹 Senator Cynthia Lummis pushed back publicly, framing the issue as a global strategic race and warning that if the U.S. does not set digital asset standards, other powers will.
🔹 The core tension is whether the bill creates legitimate regulatory clarity or simply opens the door to regulatory arbitrage for crypto platforms operating outside the traditional banking...
Custom AI assistants that print money in your sleep? 🔜
The future of Crypto x AI is about to go crazy.
👉 Here’s what you need to know:
💠 'Based Agent' enables creation of custom AI agents
💠 Users set up personalized agents in < 3 minutes
💠 Equipped w/ crypto wallet and on-chain functions
💠 Capable of completing trades, swaps, and staking
💠 Integrates with Coinbase’s SDK, OpenAI, & Replit
👉 What this means for the future of Crypto:
1. Open Access: Democratized access to advanced trading
2. Automated Txns: Complex trades + streamlined on-chain activity
3. AI Dominance: Est ~80% of crypto 👉txns done by AI agents by 2025
🚨 I personally wouldn't bet against Brian Armstrong and Jesse Pollak.
🛒 How to buy Bittensor subnet tokens using TaoStats 🛒
TaoStats provides a simplified way to acquire Bittensor subnet tokens by connecting a wallet, selecting a subnet, and swapping TAO for the corresponding alpha token.
🔑 Key points
🔹 Connect a compatible wallet: Users begin by linking a Bittensor-supported wallet containing TAO.
🔹 Choose a subnet: TaoStats displays available subnet information, including alpha prices, market capitalization, liquidity, and emissions.
🔹 Review the market first: Users should check liquidity, trading volume, price movement, circulating supply, and recent emissions before swapping.
🔹 Enter the TAO amount: The platform calculates the estimated amount of subnet alpha the user will receive.
🔹 Slippage matters: Thin liquidity can cause the final execution price to differ significantly from the quoted price.
🔹 Confirm the transaction: Users review the exchange rate, network fee, price impact, and receiving wallet before signing.
🔹 Alpha tokens remain ...
📐 Conjecture (SN66) reportedly breaks a 66-year-old Erdős geometry problem 📐
Conjecture (SN66) has reportedly produced a breakthrough on a long-standing geometry problem associated with Paul Erdős, using distributed mathematical search and verification.
🔑 Key points
🔹 Six decades of open work: The problem had remained unresolved for approximately 66 years.
🔹 AI-assisted discovery: Conjecture uses computational systems to explore mathematical structures, test cases, and search for potential solutions.
🔹 Distributed contributors: Miners can compete to generate candidate constructions, proofs, counterexamples, or reductions.
🔹 Verification is essential: A proposed result must be checked through formal reasoning or independently reproducible computation.
🔹 “Breaks” requires clarification: The claim could mean a complete proof, a counterexample to the original conjecture, or a major reduction of the problem.
🔹 Search is not proof: Finding a pattern or candidate solution is only the ...
🪰 FutureBit’s HashFly is a Bitcoin-themed fruit-fly brain experiment—not a new mining breakthrough 🪰
FutureBit’s HashFly demo reconstructs part of a fruit-fly neural circuit and connects its activity to SHA-256 block-header processing. The experiment is real, but the claims about replacing ASIC miners are not.
🔑 Key points
🔹 2,914 measured connections: HashFly uses a small, static subset of the fruit-fly connectome.
🔹 SHA-256 is the novelty: The reconstructed circuit is being used to visualize or process Bitcoin-style hashing activity.
🔹 No organic mining farm exists: Real flies, living neurons, or biological tissue are not hashing Bitcoin on a mining pool.
🔹 The 1 W/TH claim is hypothetical: The comparison with 3-nanometer ASICs is a thought experiment—not a measured performance result.
🔹 Brains and ASICs solve different problems: Biological systems are efficient at adaptive tasks, while SHA-256 requires rigid, high-precision digital computation.
🔹 Hashrate is negligible: ...
Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents. |
Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request. The information that was handed over to an “unauthorized third party” reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies. Revolut claims that derived biometric face data was not. The company said that the data was handed over in response to an email that came from a real government agency’s domain, but was not actually sent or authorized by that agency. The email passed several authentication checks (SPF, DKIM, and DMARC) that are designed to establish the authenticity of a message’s origin and integrity, but do not verify the legitimacy of the legal request itself. Revolut said that it complied with the request “under the reasonable belief that it was an authentic government agency request” – and only later found out that it was not. Revolut said it later realized its mistake, blocked the email address, and reported the incident to the relevant authorities. Revolut said that only a “limited” number of its customers were affected by the data leak, and that the company’s systems were not hacked, nor was any money stolen. The story broke on September 11 when Revolut customers started receiving an email notice about a data leak, and the news was picked up by media outlets the following day.  The reason this is a recurring problem is that companies are keeping highly sensitive information about their customers’ identities, and sometimes even financial transactions, for a long time, and this data is then available to be disclosed to third parties – either in response to valid legal requests, or, as in the case of Revolut, fake ones. One reason for this is know your customer (KYC) and anti-money laundering (AML) rules. Revolut’s current UK customer privacy notice spells it out: the company generally keeps personal data of UK customers for no more than seven years after the relationship ends, and sometimes longer – for legal reasons. This means that even if you close your account, your identity documents don’t disappear. And while the incident with Revolut happened in the financial sector, it’s by no means the only one that requires customers to hand over sensitive identity information. Discord, a popular chat service, said in an October 9, 2025 security update that government ID photos of approximately 70,000 users may have been exposed after a third-party customer service provider got hacked. This was not a financial service, nor the same type of attack. But the result was similar – because the underlying business process was the same: requiring and storing sensitive identity documents. In the case of Discord, these were used to review age-related appeals. It’s hard to do anything about a copy of your old passport, or a photo of your face, or a record of your past transactions. These can be used to identify and profile you, and can be used to carry out targeted fraud. And this can happen even if the initial disclosure didn’t result in financial loss. The more companies are forced to collect and store such information, and the more of it they have, the more opportunities there are for this data to be leaked, either by the company itself or a third party it works with. That's what makes governments' push for more ID checks just to access ordinary parts of life so reckless.
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Here’s the short version of what it takes for a family of four to live comfortably in 2026 by state:
In Massachusetts, you’d need nearly $330,000 a year - the highest figure in the entire country. Only three states clear the $300,000 mark: Massachusetts, Hawaii, and California. At the other end of the spectrum, Mississippi is the most affordable at about $188,000. That’s a full $142,000 less than what you’d need in Massachusetts.
So… how much does a family of four need in your state?
This map shows the pre-tax income a household with two working adults and two kids needs to live comfortably in every U.S. state.
The numbers come from SmartAsset (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.
And as Visual Capitalist notes, Massachusetts sits at the very top of that list. Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.
Hawaii follows at $313,165, while California ranks third at $302,682.
Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.
As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.
However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.
Vermont rounds out the top 10 at $280,384, despite having the second-smallest population of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.
Despite the wide range in living costs across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.
Mississippi ranks lowest at $187,533, followed by Kentucky. The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.
The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.
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🙏To support my work, Helping to keep the signal high and the noise low:
👉 Cashapp: $thedinarian
👉 Buy me a coffee: https://buymeacoffee.com/thedinarian
👉 PayPal: Scan the QR code below 📲 or Click Here:
👇 Crypto Donations 👇
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