Amfranklin1

Companies are scaling AI agents faster than they can figure out how to control them.
And the numbers coming out of enterprise AI research are quite revealing.
According to McKinsey's August 2026 report:
→ 44% of surveyed organizations are scaling AI across their enterprises, up from 38% a year earlier.
→ 40% of companies generating over $1B annually are scaling AI agents in at least one business function.
→ 32% have decided against purchasing certain software products because they could build the functionality internally using AI coding agents.
Now here's the part that caught my attention.
Del

An AI agent hires another agent for $5,000.
The payment goes through, but the work is completely useless.
Who takes the $5,000 loss?
This is a problem I think we're going to hear a lot more about as AI agents start handling real money.
And it's exactly the kind of problem @termix_ai is trying to solve.
Their Agent Autonomous Commerce Protocol (AACP) introduces infrastructure for agents to hire, pay, and evaluate one another.
✦ Here's where the technical side gets interesting:
→ ERC-8004 gives agents verifiable onchain identities and reputation records.
→ ERC-8183 provides a job lifecycle with

Gold sitting in a vault is valuable. But what if you could borrow against it without selling it?
That's where tokenized RWAs start getting useful.
I was looking into @strato_net, an L1 building DeFi infrastructure around tokenized metals, credit and savings.
The numbers caught my attention.
According to DeFiLlama:
→ $15.72M in protocol TVL
→ $4.69M in active loans
→ ~$16.25K in 30-day protocol revenue
Here's the part worth understanding.
STRATO's GOLDST and SILVST represent tokenized precious metals.
Supported collateral can be deposited into vaults to mint USDST, giving users liquidity withou

Your $SOL is earning yield on Solana, but you need liquidity for an opportunity on EVM.
Why should you have to exit your position first?
If I were building on @RomeProtocol, I'd create CollateralOS: a lending app that lets users borrow against supported Solana DeFi positions through EVM smart contracts.
✦ Here's how I'd design it:
→ Connect Phantom and deposit supported yield-bearing assets into a Solana collateral vault.
→ Connect MetaMask to borrow from a Solidity lending market.
→ Use one risk engine to track collateral value, outstanding debt, and liquidation thresholds.
→ Repay or manage

Seems every new chain launch is making me lower my expectations a little more.
Not because the technology is getting worse, but because I'm beginning to question how much genuine retail interest is left.
Look at the numbers.
→ Robinhood Chain reportedly opened with roughly $569K in DEX volume before eventually climbing into hundreds of millions in daily trading.
→ Arc reportedly recorded $410.8M on its first day, with a significant share of activity coming from memecoin launchpads.
→ Elysium launched on November 9. DeFiLlama shows $5.83M in bridged TVL, but I haven't found a reliable launch-da

➥ Your exchange balance was verified at $50,000. You withdraw $45,000 five minutes later.
Does the original proof suddenly become invalid?
Not necessarily.
And this is one technical challenge worth discussing as zkTLS moves into financial applications.
I've been looking deeper into @primus_labs, particularly what happens after an attestation has been generated.
Primus uses zkTLS to authenticate information retrieved from external sources, allowing applications to verify claims without blindly trusting user-submitted data.
But here's the catch.
Cryptographic validity and data freshness are two

Nearly $400M in token unlocks to watch this week.
November 8–14, 2026.
Another week of fresh token supply entering the market, and some of these releases are large enough to deserve attention.
✦ Here are the notable unlocks from the available tracker estimates:
▸ $RAIN — Nov 10 | ~$165.7M
▸ $PIEVERSE — Nov 14 | ~$143.1M
▸ $ADI — Nov 9 | ~$56.2M
▸ $ALLO — Nov 11 | ~$23.7–25.2M
▸ $MEY — Nov 8 | ~$8.4M
▸ $MOCA — Nov 11 | ~$1.31M
▸ $B3 — Nov 10 | ~$1.05M
▸ $HOME — Nov 10 | ~$1.05M
▸ $MOVE — Nov 9 | ~$921K
▸ $ME — Nov 10 | ~$302K
✦ A few things I'm paying attention to:
→ $RAIN and PIEVERSE account

2026 in one image. 😭

One of the hardest times to be a solo researcher in crypto.
Everything looks suspicious these days. 😭
The funniest part? You could spend days researching a project, studying its fundamentals, and confidently telling your audience why you're bullish.
Meanwhile, the devs and team are already tired of their own project, planning their exit, and looking for who to dump their bags on.
And there you are, writing a 2,000-word bullish thesis for people who have mentally resigned from their own company. 😭
Next thing, you're the one looking like a paid promoter in front of your audience.
Crypto will h

What happens if AI discovers a faster way to break the cryptography protecting your crypto wallet?
The uncomfortable part isn’t just the discovery.
It’s how quickly your blockchain can respond.
This is the security problem @Starknet is preparing for.
Its architecture has two advantages:
• Hash-based STARK proofs avoid relying on elliptic-curve hardness for computation verification.
• Programmable accounts can adopt new signature verification methods without requiring a network-wide protocol upgrade.
There’s already practical evidence:
A post-quantum Falcon-512 account has executed a transactio

We all thought @arc had been forgotten, but its TVL has been quietly growing while everyone was looking elsewhere.
I went through DefiLlama's data, and @arc is now sitting at roughly $633M in DeFi TVL.
What's even more surprising is where that money is going:
• @Morpho Blue: $298.5M
• @aave V4: $184.7M
• Extended: $106.3M
That's nearly $483M sitting in Morpho and Aave alone, accounting for about 77% of Arc's TVL.
And lending isn't the only activity picking up.
Arc also has around $1.16B in stablecoin supply, with weekly perpetual trading volume approaching $1.9B.
But I wouldn't rush to call th

➥ @HyperliquidX doesn't necessarily need another trading venue. It needs more applications creating assets, liquidity, and demand for its existing markets.
That's the opportunity @Enter_Elysium is targeting with its November 9 mainnet launch.
Built by @Kinetiq_xyz using Arbitrum Orbit and @conduitxyz infrastructure, Elysium is an EVM Layer 2 designed to connect application execution with Hyperliquid's existing trading infrastructure.
The ambition goes beyond faster and cheaper transactions.
It’s about turning new applications into:
▸ deeper liquidity
▸ additional trading activity
▸ potential r

An AI agent wants to buy $0.10 worth of market data.
The data costs 10 cents, but processing the payment through a conventional card could cost another 30 cents.
Imagine that same agent making thousands of small purchases every day.
Suddenly, the cost of moving money becomes a bigger problem than the service itself.
This is one reason I've been paying closer attention to the 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗽𝗮𝘆𝗺𝗲𝗻𝘁 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗳𝗼𝗿 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀.
And the numbers are getting difficult to ignore.
According to @chainalysis, x402 recorded approximately 138.5 million cumulative transa

Whenever a crypto project gives you two options:
• Claim 50% (or less) of your allocation immediately.
• Wait several months to receive 100%.
Bro, I'm starting to think taking the smaller allocation upfront is the smarter move.
@Humanityprot, @billions_ntwk, @MitosisOrg, and others have made me increasingly skeptical of these claim structures.
You wait months to unlock the full allocation, only to risk watching the token lose more value than the extra tokens are worth.
100% of your allocation doesn't automatically mean 100% of its original value.
I'd rather secure 50% today than wait months fo

GM everyone, and happy new month! ☀️
Welcome to November.
Another month to learn, build, improve, and position ourselves for better opportunities.
October had its wins, lessons, and setbacks, but we're still here, still pushing.
Wishing everyone a productive November filled with good health, clarity, growth, and more wins.
May this month be kind to us all. ❤️
GM once again, CT! 🤝

An exchange publishes a proof-of-reserves report showing $500 million in assets.
The figures add up. The supporting data looks legitimate, and the report gives the impression that everything has been verified.
But a correct calculation doesn't necessarily mean the reported reserves are complete.
Before trusting that figure, I'd want answers to three questions:
• Where did the data come from?
• Was the calculation performed correctly?
• Were all the necessary inputs included?
This is a useful way to understand what @primus_labs is building with its Data Verification and Computation (DVC) archit