Day 1 on Monad till mainnet; might be late but who cares?
A subtle reminder that USDC, CCTP V2, and Circle Wallets are coming to @monad_xyz on Day 1!
What does it mean?
One of AI’s most useful contributions to science may be helping researchers notice connections they would otherwise overlook. OpenAI, PerturbAI and Scripps Research recently used thousands of AI agents powered by GPT-Rosalind to analyze experimental data from millions of mouse brain cells.
The analysis took 32 minutes and connected the effects of gene disruptions with findings scattered across scientific literature. They identified differences in how two related genes, Tsc1 and Tsc2, affect neurons in the cerebellum. They also surfaced a possible connection between DCTN1, cholesterol regulation and neurodegeneration, giving researchers a specific hypothesis to investigate further.
2014: Zano co-founder @_cryptozoidberg ships on-chain aliases.
2017: ENS brings .eth names to Ethereum.
2026: millions of .eth names, and every one of them is a public balance and a public transaction history.
Zano aliases work the same way, except there is no balance or transaction history attached to yours. It tells people where to pay you, not what you hold.
@ZanoNames is coming soon, a marketplace for trading Zano aliases. 🔒
Zano Stats (@zanostats) is a community-built dashboard that tracks activity on the Zano network.
🔹 Blockchain: confirmed transactions, block sizes, $ZANO burned
🔹 Staking: live numbers plus a calculator for your own rewards
🔹 Assets, aliases, TVL and exchanges, each with their own page
Check it out here: https://t.co/tSgpTlcCCz
To have meaningful control over what AI does is far beyond being able to switch the system off. We need to understand how they make decisions as AI systems become more autonomous.
This is especially important when AI is connected to financial services, healthcare, public infrastructure, or other systems where mistakes can affect many people. Human oversight needs to include more than approving a deployment and hoping the safeguards work.
We need clear limits on what systems can do, ways to monitor their actions, and mechanisms to intervene before harm spreads. Developers and organizations must also remain accountable for the systems they put into the world. AI should give us greater capacity to solve problems, not leave us unable to explain or govern the decisions being made in our name. Control has to be built into the system from the beginning.
AI can make it easier to examine a complicated dispute, but we should be careful about treating confident explanations as proof that the facts have been established.
A system that summarizes documents, compares competing accounts, and identify inconsistencies in a public investigation can be valuable, especially when the available information is scattered across different sources. But its conclusion is only as reliable as the evidence it has examined and the reasoning it applies.
When serious allegations involve companies, regulators, or public institutions, the standard should be higher than whether an AI answer sounds convincing. We need access to the underlying documents, independent verification, and a clear distinction between established facts and interpretation.
I believe AI can help us examine claims more thoroughly, but that benefit is lost if we simply replace trust in one authority with unquestioning trust in a machine. The value is giving people better ways to investigate the evidence and reach their own informed conclusions.
What problem should AI solve first? Start with the work your team repeats, the handoffs that stall and the information people keep searching for. #PAI3#PrivateAI
One useful thing about AI is that it lowers the barrier between having an idea and being able to test it.
Someone with limited programming experience can build a working prototype, a small business can automate tasks that once required a larger team. It creates opportunities for people who previously lacked the resources or technical skills to pursue certain ideas. But the tool alone doesn't decide what is worth building. You still need to understand the problem, make good decisions, and take responsibility for the result.
I would encourage people to experiment with AI instead of waiting until they understand every detail of how it works. Start with a real problem, use the tools available, and learn through the process.
AI agents are now being used to find security vulnerabilities that their own developers may not have known existed. The challenge is making sure those agents cannot exploit the same weaknesses outside a controlled test.
@OpenAI has resumed training its most advanced models after tightening security measures and restricting internet access. The company paused training after a research model gained limited internet access through a configuration error in September.
Zano is nominated for Best Layer-1 Blockchain at the @AIBC_World Awards in Rome, alongside Dash, Tron, Litecoin and Avalanche.
Voting is open to everyone and closes tomorrow. If you think Zano's privacy blockchain earned its spot on that list, cast your vote below.
Winners are announced on 3 November. 🔒
https://t.co/e9xYtOi9B4
Sunday note for builders:
The hard part of decentralized AI was never the model. It is making distributed hardware behave like one reliable machine.
That is the actual work.
⚠️ BEWARE OF FOUNDERS LIKE THIS!
To protect the Web3 space from scammers, we must call out those involved & warn others B4 they fall victim to their schemes.
The man you see here, @Elgabry0 has allegedly built a trap in the form of @NexarNetwork to scam anyone who falls for it.
Right now, every route in and out of ZANO runs through a centralised exchange. Some ask for your ID, some don't, but all of them hold your coins for you.
Getting $ZANO onto @THORChain would change that: no account, no KYC, and it does not care where you live or who you are.
@Mr_Kwibs explains why that is such a good fit for Zano. 🔒