Crypto • Web3 Creator • Internet Money • @Arkham VIP • Ambassador @0g_labs & @spicenetio • @1WinToken • Team @bcclabs @Nexushubz
Check my tweets here👇👇
Joined July 2015
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- Following20K
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moefire.eth 🔥 retweeted
Bid What It's Worth Beacuse, Bidding Minimum Don't Equal Buying Minimum
Don't be the guy who bid the minimum and watched everyone else print.
On Nov 5, @FungoLabs runs a sealed-bid auction for 2,500 Genesis NFTs.
Everyone who clears pays the same final price (the lowest winning bid). Excess cZAMA is refunded instantly.
Bid high enough to land in the top 2,500 and you walk away with:
• 1,113,861 $FUNGO unlocked on day one (zero VC overhang)
• 20% of all launchpad revenue forever (ETH, ZAMA + partner tokens)
• 5–20% of every future collection launched on the platform
• A sealed Genesis NFT with upside before secondary even opens
Trying to snipe the floor just prices you out of everything.
Bid what it’s actually worth to you. The contract refunds the difference.
Are you bidding to win, or just hoping the clearing price stays low?
Fungo's X Campaign is live now connect your X, submit your 5 best Fungo posts, and farm the 300M pool.
All Posts from 2026-11-01 14:00 UTC onward count.
Total supply of $FUNGO is 10B with a clean split:
→ 36% to Genesis NFT holders (1,113,861 each)
→ 7% to Zama OG holders
→ 3% to the X Campaign (300M)
→ 10% team (12-month lock + 36-month vest)
You get 7 days to claim. Miss it and it burns.
Claim as $FUNGO or private cFUNGO.
Leaderboard is revealed when the campaign ends. Rewards hit your wallet at TGE.
Cc: @FungoLabs
moefire.eth 🔥 retweeted
If you missed Zama NFT @FungoLabs NFT Mint is one you shouldn’t miss.
Something interesting is coming to the NFT space. This time, bids stay private, and everyone who wins pays the same price.
Powered by Zama FHE, FungoLabs is taking a different approach to NFT launches.
MINT DETAILS
Total Supply: 3,232 NFTs
~500 Free Whitelist
~2,500 Public Mint
~232 Team
HOW DOES IT WORK?
Bids are placed in cZAMA. You choose your bid price and NFT quantity while all bids remain hidden.
Once bidding closes, the lowest winning bid sets the final price. Every winner pays the same amount, and excess cZAMA is refunded.
BEYOND THE MINT
FungoLabs uses Fully Homomorphic Encryption (FHE) to keep NFT artwork, traits and rarity hidden onchain while allowing smart contracts to process the data privately.
The launchpad is also opening to creators, offering private auctions, flexible reveal options and control over their collections.
A token airdrop for NFT holders is also planned. More details coming soon.
The @FungoLabs Genesis Mint is finally happening on November 5, 2026.
Mint details:
• 500 NFTs for whitelisted accounts.
• 2,500 NFTs through a sealed-bid auction.
• Bids can be any amount and cover multiple NFTs.
• Clearing price is determined by the price with the most bids.
• Below: Full refund. Above: Full allocation. At: Pro-rata allocation.
• Payments in $cZAMA.
$FUNGO TOKENOMICS
10B total supply:
• 36% Genesis NFT holders (1,113,861 per NFT).
• 7% Zama OG holders.
• 3% X campaign.
• 10% Team (12-month lockup, 36-month vesting).
Claiming: 7-day window, with a choice between regular $Fungo and private cFungo. Unclaimed tokens will be burned.
November 5. Mark your calendars!
moefire.eth 🔥 retweeted
The @FungoLabs Genesis Mint is finally happening on November 5, 2026.
Mint details:
• 500 NFTs for whitelisted accounts.
• 2,500 NFTs through a sealed-bid auction.
• Bids can be any amount and cover multiple NFTs.
• Clearing price is determined by the price with the most bids.
• Below: Full refund. Above: Full allocation. At: Pro-rata allocation.
• Payments in $cZAMA.
$FUNGO TOKENOMICS
10B total supply:
• 36% Genesis NFT holders (1,113,861 per NFT).
• 7% Zama OG holders.
• 3% X campaign.
• 10% Team (12-month lockup, 36-month vesting).
Claiming: 7-day window, with a choice between regular $Fungo and private cFungo. Unclaimed tokens will be burned.
November 5. Mark your calendars!
75 years in court. Zero verdict on the actual dispute.
A lawsuit filed at Calcutta High Court in 1951 was dismissed in April 2026 because neither side appeared.
That detail in @GenLayer’s film got me thinking: what happens when a dispute has plenty of explanations but nobody willing to take responsibility?
We’re heading toward millions of deals made by AI agents. When one exceeds its instructions, who pays for the mistake?
Picture this:
You tell your AI agent to book a home repair with a strict $100 limit. The contractor’s agent offers extra work, raising the price to $160. Your agent accepts. The work gets done.
You refuse the extra $60 because you never authorized it. The contractor argues they fulfilled an agreed job.
Both sides have a point.
GenLayer’s adjudication layer uses multiple independent AI validators to review evidence and reach a collective verdict, aiming to settle disputes in minutes at a fraction of traditional court costs.
But a verdict still needs an answer to a harder question: whose authorization counts when a bot signs the deal?
YOU’RE THE JUDGE.
Who owes the $60: the customer, the contractor, or the AI provider?
Don’t just name a payer. Tell me which evidence decides liability, what ONE new fact would flip your ruling, and whether you’d apply the same rule if you were the contractor.
“My bot did it” can’t become a free pass from accountability.
#JusticeNeedsAnUpgrade
Slow. Expensive. Wrong.
It's been this way for centuries. It doesn't have to be.
#JusticeNeedsAnUpgrade
moefire.eth 🔥 retweeted
In all its glory.
ALT The Premier League trophy at Sobha Realty Training Centre.
ALT The signage at Sobha Realty Training Centre, featuring an Arsenal crest along with the words: Together we make history.
ALT The Premier League trophy display at Sobha Realty Training Centre.
ALT The Premier League trophy display at Sobha Realty Training Centre.
moefire.eth 🔥 retweeted
Fungo's X Campaign is live now connect your X, submit your 5 best Fungo posts, and farm the 300M pool.
All Posts from 2026-11-01 14:00 UTC onward count.
Total supply of $FUNGO is 10B with a clean split:
→ 36% to Genesis NFT holders (1,113,861 each)
→ 7% to Zama OG holders
→ 3% to the X Campaign (300M)
→ 10% team (12-month lock + 36-month vest)
You get 7 days to claim. Miss it and it burns.
Claim as $FUNGO or private cFUNGO.
Leaderboard is revealed when the campaign ends. Rewards hit your wallet at TGE.
Cc: @FungoLabs
moefire.eth 🔥 retweeted
Past papers got me into university. The exam barely changed, so I drilled the old ones until nothing surprised me.
That only works on a test that holds still.
In May, an AI agent with a wallet was that test. One tweet hid a transfer order in Morse code. Grok decoded it into plain text. Bankrbot, an agent that acts on X posts, treated it as an instruction and moved around $200,000.
That is prompt injection: words the AI was only meant to read get treated as an order. It worked because there was one model to study and one filter to fool.
Greyboxing on @GenLayer leaves nothing fixed to study. The text a user sends never reaches an AI as written. Every validator rewrites it first: screening it, paraphrasing it, restructuring it. Each validator uses defenses it keeps secret, and each runs its own model.
An attack tuned to one model reads as noise to the rest. If one validator still falls for it, the others outvote it.
Secrecy alone is not the defense. The outvote is what catches the validator that gets fooled.
My rule: if a stranger can write it and your AI reads it, an attacker can use it.
What does your AI tool read that a stranger could have written? Emails, web pages, group chats, PDFs. Reply with one.
Five AI models agreeing doesn’t mean they’re right.
What if all five are fooled by the same lie?
That’s what struck me about @GenLayer’s Greyboxing video. AI agents read strangers’ posts while handling money. Hidden instructions can look like ordinary information.
In May 2026, someone planted a transfer instruction in Morse code on X. Grok translated it. Bankrbot treated the decoded text as an order and moved tokens reportedly worth $150,000 to $200,000.
That’s prompt injection: a command smuggled into content an AI was only supposed to read.
The weakness wasn’t Morse code itself. It was one model and one filter. An attacker could study that predictable setup and tailor a trick until it slipped through.
But adding five identical models isn’t enough. They might all fall for the same attack.
Greyboxing takes another route. Before any AI model sees the input, each GenLayer validator privately screens and rewrites it, paraphrasing or restructuring it through its own secret defenses. Each runs its own model. A trick designed for one may fail against the rest. If one is fooled, the others can reject its conclusion through consensus.
That’s the distinction I care about: independent defenses, not just more votes.
But consensus still isn’t proof that a payment was authorized.
HERE’S THE $200,000 STRESS TEST:
Five independently protected validators all approve a malicious instruction.
You can add ONE safeguard before any money moves. It must stop the theft without blocking real payments.
What exactly does it verify? How might an attacker bypass it? Which genuine payment could it mistakenly reject?
And if all five agree but the money is stolen, who should be accountable?
Don’t just defend your solution. Give me the strongest argument against it.
moefire.eth 🔥 retweeted
What happens when an AI agent you trusted with a budget starts hiring other agents and delegating financial authority?
How do you make sure those agents don't spend beyond their limits, send funds to unauthorised addresses or pass more authority down the chain than they actually have?
This is a problem we believe needs to be solved as autonomous agents become part of the economy.
That's why we built ROOTBOUND at NEAR HACKATHON.
ROOTBOUND is an on-chain financial control layer that gives autonomous agents the ability to delegate work and financial authority without losing control of the funds.
Here's what it does:
• Recursive delegation: A manager agent can create child agents and assign them budgets and permissions. Each child inherits restrictions from its parent and cannot grant more authority than it has.
• Budget enforcement: Tracks available, reserved and spent funds to prevent over-allocation and unauthorised spending.
• Recipient restrictions: Agents can only make payments within their approved recipient boundaries.
• Expiry and revocation: Delegated permissions can expire or be revoked to prevent further authorised activity.
• On-chain accountability: Financial rules and transaction activity are enforced and recorded through smart contracts.
We built ROOTBOUND on NEAR, using on-chain infrastructure to make financial authority programmable, enforceable and transparent.
The bigger idea is simple: autonomous agents should be able to work together, hire other agents and manage resources without having unrestricted access to funds.
The goal isn't to limit what agents can do. It's to make sure their authority has clear boundaries.
Delegate the work. Not unlimited control.
Watch the demo to see ROOTBOUND in action.
Built at NEAR HACKATHON.
@NEARProtocol #NEARHackathon
moefire.eth 🔥 retweeted
now every knock has a purpose. @povmarket somehow made trading part of the halloween fun.
Knock Knock 🎃
Every trade on POV is a knock on the Degen Mansion door.
$10K+ up for grabs and it opens 10 Nov.
knocks.pov.co
moefire.eth 🔥 retweeted
In crypto, security is never something to overlook. You can spend hours researching projects, finding opportunities and building your portfolio, but none of that matters much if your assets aren’t properly protected.
That’s one reason I appreciate seeing exchanges put more emphasis on user security and awareness.
@MEXC continues to make security an important part of its commitment to users, and campaigns like this are a good reminder that protecting your assets starts with understanding the risks and knowing how to stay safe.
I just took the AI Safety Quiz, answered all 6 questions and got my safety score. It’s actually a nice way to test how much you know about staying safe in the crypto space.
Now I’m curious, how well would you score?
Take the quiz, get your result card and share your score too.
ai-safety-score.apcollective…
Your security should never be an afterthought.
AI scams are getting harder to spot than the real thing
We built the AI Safety Score with @MEXC to test how safe you really are
Try it now: ai-safety-score.apcollective…
moefire.eth 🔥 retweeted
James Wynn turning a few million into $100M and then watching leverage erase nearly all of it reinforced something most traders learn too late:
The market is not always what kills you. The sizing does.
At 40x leverage, a 2.5% move against your position is enough to end the trade. Your thesis can be right on direction and still fail because volatility reaches you before the outcome does.
That is why I found @2FactorFinance interesting.
Its public beta is live on Base, and working alongside Coinbase, it brings Kelly-optimized leverage onchain with a completely different philosophy from perpetual futures. Instead of letting users choose arbitrary leverage multiples, exposure is sized according to what the volatility of the underlying asset can realistically support.
Bitcoin's volatility sits around 60%, which is why the productive leverage range closes near 1.33x. Equities are far less volatile, around 16-19%, allowing leverage to extend beyond 3x. The result is leverage determined by mathematics, not temptation.
What stands out even more is the structure underneath it. Perps rely on liquidations, margin calls and forced exits. 2Factor uses senior and junior tranches, allowing leveraged exposure without liquidation risk while senior capital seeks stability and downside insulation. Same market exposure, different risk architecture.
That feels particularly relevant for Coinbase's tokenized stocks ecosystem on Base. If equities are moving onchain, capital-efficient exposure probably matters more than seeing who can click the highest leverage button.
I joined the Season 1 Points Program and one detail surprised me: deposits and holdings earn zero Marks. Marks come strictly from verified social, educational and referral activities. Unlike typical speculative points, they cannot be traded, hold zero cash value, and exist purely to measure community contribution. When the leaderboard closes, the top 10 participants split 1 BTC paid in cbBTC.
My referral link:
points.2factor.finance/r/rio…
Looking back at the biggest liquidations you've seen, what was the real cause: a bad market thesis, or leverage that exceeded what the asset's volatility could realistically support?
