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In 2014, Elon Musk stood in front of an audience at MIT and told the whole world exactly where AI was going. Everyone missed it. Because he used one word, and that's the only thing the internet remembered: "demon." The headlines called him scared of killer robots. Tech blogs called it hyperbole. People moved on. I went back and watched that moment. It's barely 2 minutes long. You'll never hear the word "AI" the same way again. Here's what I took away. 1. He called it before almost anyone. Someone in the audience asks about AI. His face goes serious. "If I were to guess like what our biggest existential threat is, it's probably that. So we need to be very careful with the artificial intelligence." This was 2014. No ChatGPT. Most people had never heard the word "chatbot." 2. He asked for rules 12 years ago. "I'm increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don't do something very foolish." National AND international. In 2014. Governments are still arguing about it today. 3. The demon line wasn't a joke. "With artificial intelligence we are summoning the demon." And then the part almost nobody quotes: "In all those stories where there's the guy with the pentagram and the holy water, it's like, yeah, he's sure he can control the demon. Doesn't work out." Read that again. His warning wasn't about the demon. It was about the guy who thinks he can control it. 4. Now here's what got me. In 2014 he said: summoning the demon. In 2018 he told Joe Rogan: "Nobody listened." In 2023 he signed a letter asking AI labs to pause. In 2026 he told The Economist he can't see any way to stop it anymore. His new philosophy? "Let's enjoy the ride." And: "If you can't beat them, join them." Today he's building one of the most powerful AIs on Earth. 12 years later, the man who warned us about the guy with the pentagram is holding one. My takeaway: He wasn't wrong in 2014. He just realized nobody was going to stop it. So he decided to build it himself. Whether that's genius or the exact ending of his own story, I honestly don't know. So now I'm asking you: Was Musk right in 2014? Or did he become the guy in his own warning? Tell me below. I genuinely want to know where people land on this.

Trade your shielded $ZEC for confidential USDC on Ethereum, without ever unshielding it. No bridge. No custodian. No wrapped ZEC. And the amount never shows up on chain. I connected @zama and @Zcash to make it work. Live on testnet 👇 What it is ZEC Desk is a small trading desk on Zama's FHEVM, on Ethereum Sepolia. On one side there's cUSDC, a dollar token whose balances are encrypted. On the other side there's shielded ZEC on Zcash testnet. You can trade either way. Built on Zama's model Zama's Confidential RFQ is already live on Ethereum mainnet, open to everyone: It runs confidential swaps with encrypted quotes, a sealed-bid pick on chain and a hidden floor. ZEC Desk takes that same model and extends it to native shielded ZEC. Zama's swap settles both legs on one chain, inside its own contract, so a Zcash leg can't plug into it directly. Here that leg lives on Zcash and settles minutes later with a proof, so the mechanics run in my own contract. It's a sketch of how native ZEC could sit next to Zama's swaps one day, with no wrapped token. How a trade works (buying ZEC) 👇 1️⃣ You lock cUSDC in the desk. The amount is encrypted. 2️⃣ Makers send encrypted quotes. Nobody sees anyone else's price, or the minimum you'll accept. 3️⃣ The contract picks the best one under FHE. 4️⃣ The winning maker sends shielded ZEC to your Zcash address, with the order's reference in the memo. 5️⃣ A zero-knowledge proof shows that payment happened, and the contract releases your cUSDC to the maker. If no proof arrives in time, your cUSDC comes back to you. Selling is the same in reverse: the maker locks cUSDC, you pay the ZEC, and the proof releases the cUSDC to you. Why these pieces Each piece does one job. Zcash keeps the payment private. Zama keeps the amounts encrypted and can still compute on them. Seam, the Zcash light client I built last month, connects the two: a contract checks every Zcash block header itself, and a RISC Zero proof shows a shielded payment reached the right receiver. The transaction, the note and the address never touch the EVM chain. The masked amount This was the hard part. Seam's proof used to write the paid amount in the clear, and ZEC amount × price gives away the dollar amount. So the amount is masked. The contract adds an encrypted one-time mask to the encrypted amount and reveals only the sum, which looks random to everyone else. The mask comes from a secret that the side receiving the ZEC hands to the payer. The proof checks that the payment was at least the sum minus the mask, and never states the amount. One-time pads are old, and Zama's RFQ uses one too. Using one to hand a value from FHE to a ZK proof is the part I haven't seen before. If you have, please send it my way. No vault, no signers Seam can read Zcash, but it can't take ZEC from anyone. So the design never needs someone to pay ZEC on someone else's behalf. Whoever pays, pays from their own wallet, and the escrow on the EVM side enforces the deal. The side that paid the ZEC can prove it itself, so nobody depends on the other side's goodwill. Seam does more than this Any EVM app that needs to know a shielded payment happened can use Seam: pay-with-ZEC checkouts, escrows, payouts, cross-chain orders. This desk is one example. Where it stands ↓ Testnet only, unaudited. On 12 November 2026 I ran a Buy end to end: ➡️ Settled with a proof: ➡️ One proof: 2 minutes on a rented RTX 4090, about $0.25 for the whole session ➡️ Gas per Buy on Sepolia: about 7.6M, in six transactions ➡️ A Sell also ran on Sepolia, up to the maker locking its cUSDC; it settles through the same proof step ➡️ Seam's light client is now deployed on Ethereum Sepolia too, next to Base Sepolia Where it can go ↓ → The desk only needs Zama's FHEVM and a cUSDC. Both already run on Polygon, where following Zcash costs a fraction of Ethereum mainnet. → Zama keeps adding chains. On any cheap EVM chain it reaches, the same desk can run, and if it comes to Base, Seam's relay already runs on Base Sepolia. → Zama's roadmap also goes beyond the EVM, to chains like Solana. Seam's verifier would need a port there. → On Ethereum mainnet, following Zcash header by header would cost over 2B gas a day, so batched header proofs are next for Seam. What it can't do yet - Settlement takes minutes, not seconds. Zcash confirmations set the pace, not the GPU. - Right now I'm the only maker, and a maker needs ZEC, cUSDC and a GPU. - Amounts are hidden, but EVM addresses are public. Read more ↓ Seam on Seam: ZEC Desk:

Installs like an app. Caches nothing that matters. Add to Home Screen, no store, no account. The shell, logos and fonts stay on your phone; prices, quotes, balances and wallet traffic are never cached. Opens like an app, reads like a fresh page.

"Everything I touch with my keyboard and mouse, I try to delegate to my bots." Here's my new episode with @poteto and @pengzheng_, the eng and design leads for Grok @bot, where they showed me the 14 bots they use for work and life, including: → A design bot that turns one keyframe into a full user flow → An eng lead bot that manages a team of eng bots → How to trust your bots with more of your work Some quotes from both: "I like to call it the Michelin kitchen…when you say software factory, it has this connotation of mass manufactured slop." "Sometimes I actually don't even look at the PR until after it's landed and then I'm like, 'Oh, okay. Yeah, that looks good.'" "I think it ultimately comes back to trust. First, watch your bot work and correct it. Turn what worked into a skill. Once it nails the task in one shot, make it a routine." 📌 Watch now: Thanks to our sponsors: @meetgranola: AI meeting notes that don’t suck @RiversidedotFM: All-in-one AI studio for podcasts and video

🚨SlowMist TI Alert🚨 💸 @BeatXswap Loss: 2,984,557 BTX (~$77,512) 🔍 Root Cause: The `LiquidityVestingConvert` contract calculates BTX quotes via `_calculateQuote()`, which reads `IUniswapV3Pool.slot0()` spot price as the sole oracle. No TWAP protection, no sanity check, no deviation limit. An attacker borrowed 6,000,000 BTX via flash loan, dumped it into the V3 pool to crash `sqrtPriceX96`, then called `deposit()` twice (10,000 + 2,000 USDT), triggering `POSITION_MANAGER.mint()` at the manipulated spot price and draining BTX from LP positions. 📌 Attacker: 0x67B2f08683A735cfE6f6E57fA86909b62218C2a1 📌 Victim: 0x1e647FAADb05f2124BFCcFC003EDc06D1A90bf5D 0x9a7A92240FBAc4030b65A6E61239928d6Bcc716F 📌 Vulnerable Contract: 0x1e647FAADb05f2124BFCcFC003EDc06D1A90bf5D Powered by Tx:

A director who doesn't come up to the builder's heels makes a four-hour film about him. Yesterday in Venice, Alex Gibney's nearly four-hour documentary "Musk" had its world premiere. It is a classic case of someone who has spent a career telling other people's stories taking on a man who actually builds those stories with rockets, cars, satellites, and infrastructure, not slides. Alex Gibney is an acclaimed documentarian. An Oscar for Taxi to the Dark Side, Emmys for Going Clear on Scientology, high-profile films on Enron, Elizabeth Holmes and Theranos. His specialty is exposing corporations, cults, and frauds. He does it skillfully and with a thesis. The problem starts when he applies the same method to someone who is not selling an illusion, but hardware that either flies or blows up in front of the entire world. Gibney's fuel is controversy. Elon's fuel is the pursuit of truth hard, engineering truth, the kind that either works on the test stand or it doesn't. It would have been enough to make a film based on facts. Instead we got another rut that fits the slogans of provocation: megalomaniac, confidence man, threat to democracy, an AI avatar reciting old quotes, ex-wives, his father, a former partner. Musk said in 2023 it would be a hit piece. After the premiere, a large share of reviewers effectively agreed with him. I don't know about you, but four hours of falsified formulas would bore me. Instead I watch how much Elon has already done. His energy is extraordinary. Tesla changed the car industry. SpaceX brings rockets back. Starlink works. Starship stands on the pad and prepares for the next flight. This is not a PowerPoint. It is steel, fuel, engines, and people who cannot hide failure in the edit suite. A weak documentary like this is a crumb on the shoulder of his jacket. Now it depends on us when and how quickly that blown-off crumb a utopian attention vampire is simply starved of attention. You could list the names of people who tried to take Elon's energy. Energy is the most precious thing we have. Anyone who steals it with slogans, gossip, and a four-hour indictment that excludes the main subject is sowing under his own feet. Gibney: you reap what you sow. If you have a shred of shame, look at the list of Elon's accomplishments. Look at what kind of person he is for the world and what he does around himself so that things get better cars that drive, internet from orbit, rockets that return, attempts at a brain-computer interface, AI that is supposed to be more than another chatbot. You can dislike his tweets, his political alliances. You cannot honestly erase the scale of what was physically built. A good documentarian should stand, at least for a moment, in the shoes of the person he is portraying. Gibney did not just fail to do that. He took a measure cut for Enron and Holmes and held it up to a man who lands rockets. He left Elon's shoes in the edit suite. Elon walked on barefoot and kept building. One man tells stories about the world from an editing chair. The other moves that world. A four-hour film will not change that. At most it will confirm what people who already disliked Musk already believed. Everyone else can blow the crumb off the jacket and keep going. History does not judge a man by the length of a film. It judges him by what is still in the air when the camera has stopped running. Controversy feeds on attention. Building feeds on repetition. One vanishes when you look away. The other keeps flying. You can cut a man together in four hours. You cannot cut a landing together. A documentary can be switched off. The work cannot.

BREAKING: 𝕏 has published the latest update to the open-source algorithm powering the For You feed. The new update changes 47 files, adding 5,850 lines and removing 586. Key changes: • Phoenix now uses a long-dwell setting instead of short dwell, placing more emphasis on time spent viewing posts • The ranking weight for opening a video rises from 0.05 to 0.07, while dwell rises from 0 to 0.05 • New indexes help retrieve immersive videos receiving likes across different age ranges, extending up to 30 days • The Following feed gets stronger block and mute protection, including quotes and reposts involving blocked accounts or accounts that blocked the viewer • Cold-start ranking now uses views received specifically on Home instead of total views. Its Top-K setting drops from 5 to 2 • The follower threshold separating reply-spam detection from special reply ranking moves from 100,000 to 120,000 • Abuse models can now request approved actions such as labels, suspensions and account challenges, protected by allowlists, logging and a 16-action safety cap • The existing Brazil 2026 election-filter list expands from 665 to 2,328 account IDs. Posts remain eligible for people explicitly following those accounts • X’s newer ad brand-safety check is now enabled by default • A new priority-post stream has been added to the early content-quality screening system 𝕏 is not just talking about algorithmic transparency. It is publishing the code. The most transparent platform on the internet.

Grok Bot makes clipping YouTube podcasts ridiculously easy. I just send it a link and say: “Cut from 16:43 to 18:17.” A few minutes later, the exact HD clip is ready in the chat. My Clipper bot has already sent it to my Researcher and Writer bots, which pull the best quotes and prepare the caption. I didn’t code any of this. I literally just logged into my Google account on Grok Bot and asked it to clip a YouTube video. I’ve wanted this for years: tell an AI which part of a podcast you want, and it automatically cuts the HD clip, transcribes it, and starts preparing the post. Grok Bot makes workflows like this incredibly simple for a non-coder.

Teams spend months aggregating the best markets on one network. The best quotes under one roof… but a lot of work. Do they want to replicate that work for the next network… and the next? Instead of building per-network infrastructure, try the SODAX SDK next time.