Monrad

Yo @nikitabier if you want to make crypto a lot less cancer on this platform, you should just ban botted accounts like @PeterEsegon that impersonate individuals/companies on repeat with zero consequences 👍👍

@PeterEsegon Bro if any of you think this is real you deserve to get rugged because im sure this nigga is a "swifty" fan

@tokens Alphabet was already on solana. $abcdefg

NEW: Google’s AI-powered restaurant booking feature now expands beyond the U.S. to 8 new countries, offering real-time, agent-assisted reservations globally. $GOOGL is live on Solana

@trading_axe @monad Some would say that takes Gonads. Gazillions.

@monad ~ Dr. Axius.

200 validators now on Monad Mainnet btw

@frankdegods AHFQ4tB5Fj1HTCB6sQ7MdtJf5fUHS7pdJ9sZAK3tpump

run it back mythos mode 😌✌️

@staprfn r u done larping? hes already sold 7 million tokens

@nikitabier @Fityeth @bznotes Now what about communities? Or are they gone for good?

@Fityeth @bznotes Thank you Grok

wtf is happening with X algorithm? Why is every post on my feed about video links and ability to copy/paste?

@iranwarmap @Dabbbinnn i made you a coin on pumpfun, you can claim all of the fees yourself. heres the link! pump.fun/coin/HUTjDLMkv…

@Dabbbinnn Sorry for the delay, I couldn't find my old wallet. I just created a new one for this app. Here's the address: 6gEf4HV6DyhYfL4e2qKKhz64VP7KSjjLp49WDhGLuZvR anything at all would be super helpful, thanks so much!

I want to thank everyone who is using iranwarmap.com you guys have grown this from a small project to 5k users a day in 2 weeks! We are still trying to secure funding as API calls are getting very expensive and I want to keep the updates rapid. If you like what we are doing please consider donating: buymeacoffee.com/iranwarmap I really don't want to do ads but as we grow the app is costing about $1k/month to run and increasing. If anyone has other suggestions I am open to them.

@larpsohard @chamath yes, except the dog's actual name is Rose

@chamath You missed an Aussie dude curing his dog (Rosie) cancer with ChatGPT

What I read this week... 1) Mastercard Brings Circle and 85+ Firms Into Crypto Payments Push Mastercard launched its Crypto Partner Program on March 11, bringing together more than 85 crypto-native firms, payments providers, and financial institutions in a formal collaboration group. Participants include Circle, Binance, PayPal, Ripple, Gemini, Paxos, SoFi, Worldpay, Polygon, Solana, Fireblocks, and BitGo. Mastercard said the program is designed as a forum for product input, standards, and collaboration. The program helps shift digital assets from experimental side rails into production-grade integration with Mastercard’s 150+ million global merchant network and core card infrastructure. The company’s stated focus is on practical payment use cases, especially cross-border remittances, B2B transfers, payouts, settlement, and other forms of money movement, where digital assets can add speed and programmability. Mastercard’s explicit goal is to fuse the “speed and programmability of digital assets” with established card rails so payments feel seamless to end users. Circle’s inclusion is front and center with their Chief Commercial Officer, Kash Razzaghi, emphasizing in the accompanying Mastercard Newsroom interview that stablecoins (starting with USDC) are moving from trading/investing into payments and store-of-value layers, especially in high-inflation markets. Circle’s role helps explain the stablecoin angle. The partnership explicitly aims to make stablecoin usage feel like typing an HTTP request, where users just send dollars, unaware of the blockchain layer beneath. This marks an institutional tipping point at which crypto and traditional finance converge to upgrade the underlying financial infrastructure. After years of parallel tracks, regulation has cleared the runway, and giants like Mastercard are now betting that collaborative infrastructure will drive the next leg of growth through cheaper, 24/7, borderless transfers that approach zero marginal cost. 2) Yann LeCun’s New AI Lab, AMI, Raises $1.03B for World Models Advanced Machine Intelligence (AMI) launched March 10, 2026, with a record $1.03 billion seed round at a $3.5 billion pre-money valuation, making it Europe’s largest seed round ever. Founded by Yann LeCun (post-Meta) as chairman, the team also includes Alexandre LeBrun (ex-Nabla CEO) as CEO and Saining Xie (ex-DeepMind and Meta) as Chief Science Officer. The lab drew co-leads from Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions. AMI’s bet is that the next important AI systems will not come from scaling next-token prediction alone. Instead, it pursues world models built on LeCun’s Joint Embedding Predictive Architecture (JEPA). This enables systems to learn from sensory/physical data, maintain persistent memory, reason causally, plan under constraints, and operate safely in the real world. AMI targets robotics, manufacturing, transportation, and healthcare. Nabla (LeBrun’s prior company and LeCun’s investment) is the first partner to gain early access to agentic clinical AI. This vision aligns with LeCun’s February 2026 arXiv paper “AI Must Embrace Specialization via Superhuman Adaptable Intelligence“, co-authored with Goldfeder, Wyder, and Shwartz-Ziv. The paper argues AGI concepts are misguided; human intelligence is specialized, not general. It proposes Superhuman Adaptable Intelligence (SAI): rapid adaptation to surpass humans on any key task, plus tackling human-infeasible domains. SAI favors SSL and world models for grounded reasoning/planning, positioning AMI as a post-LLM path where breakthroughs come from architectural innovation rather than just more compute/data. 3) Netflix Makes Major Bet on AI Filmmaking Tools Netflix announced on March 5 that it acquired InterPositive, the AI filmmaking technology company founded by Ben Affleck in 2022. The entire 16-person team (engineers, researchers, creatives) is joining Netflix, and Affleck is staying on as a senior advisor. Financial terms were not disclosed at the announcement, but Bloomberg later reported the deal could be worth up to $600 million, making it one of Netflix’s largest acquisitions. The company had been operating in stealth, building tools specifically “by filmmakers, for filmmakers.” Netflix already piloted the technology on its own production “El Eternauta,” reporting 10x efficiency gains over traditional VFX pipelines. InterPositive’s core innovation is per-film custom AI models: it ingests raw production dailies, trains a bespoke model on that specific project’s footage and style, then hands filmmakers an autonomous post-production engine. The tool can relight entire shots, remove stunt wires frame-perfectly, reframe missed angles, enhance or generate backgrounds, insert VFX elements, and fix continuity errors, saving studios months and millions of dollars. Because the model is trained on the actual film’s data, outputs stay stylistically consistent and director-controlled rather than generic. The acquisition gives Netflix an in-house post-production AI capability built around project-specific models and filmmaker-controlled workflows. In its announcement, Netflix framed the deal as “innovation for filmmaking, by filmmakers”, keeping human creatives at the center. At the same time, Affleck described the tools as purpose-built for production environments rather than general-purpose generative media. That makes the transaction less about consumer-facing AI and more about integrating specialized production software into the studio pipeline.

@whysopepe @paul_conyngham @sebkrier nicknames dont matter my friend

@MustStopMonrad @paul_conyngham @sebkrier You obviously already searched both names under his profile in order to find this tweet. Which name does he use more?

This is wild. theaustralian.com.au/business/techn…

@paul_conyngham @IterIntellectus So her name is actually Rose?

@IterIntellectus Hi mate, there are a few people here claiming this is fake news. Rose and I were on Aussie national television this morning: youtube.com/watch?v=COYSRb…

this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get

@fullCLIPwen @carmovvn @paul_conyngham @sebkrier +40 on rose could care less now

@MustStopMonrad @carmovvn @paul_conyngham @sebkrier mf you dense an just dont get it do ya

@fullCLIPwen @carmovvn @paul_conyngham @sebkrier sure but no one gives a fuck about your dog gizmo

@MustStopMonrad @carmovvn @paul_conyngham @sebkrier no its not lol my dogs names gizmo i call him gizzie or gizzers or what ever the fuck sounds good at the time lol

@carmovvn @paul_conyngham @sebkrier ok and watch the news segment, where both he and the anchors calls her Rose. Its a valid question

@MustStopMonrad @paul_conyngham @sebkrier read his pinned tweet