Claude Is Confident, But Nobody Knows If It's Right
On August 12th, 2026, Simon Willison published a sharp observation from Florian Herrengt about what happens when AI tools get handed problems beyond their…
🚀 Quick Take
On August 12th, 2026, Simon Willison published a sharp observation from Florian Herrengt about what happens when AI tools get handed problems beyond their reach. The scenario: a bug that won't die, your team's fourth attempt to have AI fix it, and an endless wall of confidently generated text that nobody on the team can actually validate.
The core insight cuts straight to a problem every crypto trader already feels: confidence is cheap, correctness is not. An LLM can generate a convincing explanation in seconds. Whether that explanation survives contact with reality is a different question entirely.
Herrengt's framing — "AI is removing the middle class of software engineering" — is about engineering specifically, but the lesson generalizes. When you cannot verify what a tool tells you, the tool is not helping you. It's just producing noise with good posture.
🛠 What It Is
The source material describes a debugging session gone wrong. A team has spent four attempts trying to fix a persistent bug by asking AI to solve it. The tool — referenced as "Fable" in the original account — keeps producing text. The team watches it scroll, and neither they nor the AI can determine whether any of it corresponds to reality. Yet Claude, the model in question, projects total confidence.
Herrengt's diagnosis is structural: the project has become so layered, so full of services and abstractions, that no single person can hold the whole thing in their head. AI didn't create that complexity. But AI made it easier to paper over it — until the paper tears.
The relevant quote, under 15 words: "Neither of you has any idea whether any of it is true but Claude seems very confident."
That sentence is the whole article. Confidence without verifiability is not intelligence. It's performance.
🧠 Why Traders Should Care
You don't need to write software to feel this exact pain. Swap "bug" for "token contract" and the scenario maps perfectly onto crypto research.
When a new memecoin launches, there is no shortage of confident voices. Telegram channels are full of people telling you a token is safe, a contract is clean, a dev is legit. Some of those voices are AI-driven. None of them can be trusted on vibes alone.
The same logic applies to any tool you use for research. If a dashboard tells you a token has "low risk," but you cannot see why — no holder analysis, no LP data, no bundler checks — then you are looking at the modern equivalent of that wall of confident text. It might be right. It might be wrong. You have no way to distinguish.
Herrengt's real point is about epistemic hygiene: when the system is too complex for anyone to fully understand, the only defense is layered verification at every decision point. For a trader, that means never accepting a single source of truth. It means checking the token's contract against multiple scanners, examining holder distribution, verifying LP locks, and watching for bundler activity — before you click buy.
The project he describes failed because the team lost the ability to verify what their tools were telling them. A portfolio with the same problem is a portfolio in danger.
There is also a second, more constructive angle: AI tools that fail at unconstrained creative problem-solving can still be excellent at constrained, verifiable tasks. Reviewing a contract against known patterns? Summarizing data you already pulled? Drafting a post for your own channel? That's where LLMs earn their keep. The failure mode is asking them to be oracles. The success mode is using them as clerks.
⚡ Put It To Work Today
You can apply this lesson to your next trade cycle in one move: build verification into your workflow so confidence never travels alone.
Start with a free multi-chain alert network on Telegram — entry portal @gmgnalerts. 450+ groups deliver live buy and sell signals on SOL, BSC, and Robinhood chains. Every alert passes a layered security gate: GoPlus checks, RugCheck authority, GMGN entrapment and bundler analysis, and holder review, plus LP lock and burn verification. The result: risks are printed directly on the alert as warnings. You see the red flags before you click anything, not after.
That is the anti-Fable principle in action. The signal arrives with its verification attached, so you never have to stare at a confident wall of text and wonder if it's true.
When a token appears, XTRACK (@xtrack1bot) automatically tracks it and pings milestone movements with holders, LP status, and security data. @VBMBbot handles multibuy scanning when you want a wider net.
All three — the alerts, the trackers, the scans — are free and live on Telegram. There is also blackhat.finance, a free web terminal with live trenches, trending lists, alerts, and the DYOR Academy article library if you want to sharpen your own process.
For execution, GMGN is the memecoin trading terminal the alerts deep-link into. Fast sniping, wallet tracking, PnL tracking — all in one interface. You can register free via gmgn.ai/?ref=10Xboost, and the GMGN Android app covers mobile.
Set your workflow so every token you look at must pass the same gate before you consider it: contract scan, holder analysis, LP status, and a live check that the liquidity is still there. That discipline is free. It is also the difference between the team in Herrengt's story — stuck watching confident text scroll past — and a trader who knows exactly where every claim came from.
🎯 Bottom Line
AI tools are powerful, but they are not omniscient. A model can be certain and wrong. A tool can be sophisticated and unverifiable. Herrengt's story is a warning about what happens when you lose the ability to check your own systems.
The fix is not less technology. It is more verification. Use AI for what it's good at — fast drafts, data summarization, pattern recognition. Never let it be your only source of truth for something that involves your money.
The free tier of this network already does the heavy lifting: pre-scanned alerts with security warnings on the message, automatic tracking, and a terminal to act on what you find. Join @gmgnalerts, wire GMGN into your flow, and make verification part of every decision — not an afterthought.
Confidence is cheap. Evidence is not. Trade like you know the difference.
BLACKHAT EMPIRE — FREE TOOLS
Telegram alerts: @gmgnalerts — 450+ groups, SOL / BSC / ROBINHOOD buy-sell alerts with security warnings on every message
XTRACK: @xtrack1bot — automatic milestone tracking with holders, LP and security data
MultiBuy scanner: @VBMBbot
Web terminal + DYOR Academy: blackhat.finance
GMGN terminal (free): gmgn.ai/?ref=10Xboost — works with Android app
Not financial advice. Always DYOR — the alerts show risks before you click.
🏴 Blackhat Empire — Free Alert Network
🚪 Telegram Portal: @gmgnalerts 📲 Trade on GMGN: gmgn.ai 📍 Live plays & full DYOR: blackhat.finance 🏴 Add all 7 MAIN groups: t.me/addlist 💬 Community Chat: @gmgnx_chat 🤖 Power tools: @VBMBbot · @xtrack1bot