“It’s weirding people out… which I love to do”
- @beeple_crap
We caught up with Beeple to talk about his “Regular Animals” currently on view at @artbasel as part of Zero 10, Art Basel’s new platform for art of the digital age.
Follow along for more digital art conversations from @artechouse and @nowmedia
#artbasel #zero10 #artechouse #nowmedia #digitalart #beeple #regularanimals #ai #tech #technology #art #miami
He lost his net worth to hackers
Then built a crypto fund based on conviction
Now 1confirmation’s @ntomaino has backed Polymarket in every round and sits on their board 🌟
His contrarian thesis: “The stronger the narrative, the further from the truth”
Learn where Nick is placing his long-term bets in @mattmedved ’s Luminaries profile
Our Premium members are invited to private, off-the-record Q&As to directly connect with Luminaries guests like Nick
Read and subscribe at the link in our bio 🔗
Gateway Miami elevated digital art and celebrated the dawn of a new spring for creatives 🌀🌴💐
Thank you to all of our incredible artists, speakers, partners and attendees for helping bring this vision to life
Kicked off art week with an intimate cocktail and conversation with @kidsuper at his studio
Colm’s practice brings his own creative universe to life, spanning art, fashion, music and media
Special thanks to @artbankerjg and @brownstonecowboys for co-hosting with @nowmedia , and to @vajra_kingsley for bringing us together
2.8 million downloads. #1 podcast in the UK. Fully AI-generated
@levychain used Claude to untangle the Epstein files. Now he’s proving it’s a repeatable business model
Livestream with @mattmedved Tuesday at 2pm ET on X and YouTube 🎙️
@beeple_crap just announced a weekly contest for HUMAN ONE Chapter Seven, where participants help “train” the sculpture on human emotions
Upload images matching each week’s keyword. Top 5 scores win signed prints. Final winner takes a 1-of-2 NFT
Live now. Week one ends Sunday
Enter at human-one.xyz/contest/
Thank you to everyone who entered our Tezos EVM (etherlink) AI Hackathon!
The quality of submissions made this an incredibly hard decision
Congrats to our winners:
🥇 Arbiter
🥈 NO-CODE Agent Builder
🥉 SlashMarket
Learn more about the projects below ↓
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Arbiter takes a plain-English escrow agreement on Etherlink (“pay 0.4 XTZ to 0x5EE5 when they deliver the logo in 2 hours”), parses it with AI, and deploys a locked contract
When the seller submits proof, a separate AI layer evaluates it and settles funds
If the deadline passes without a verdict, anyone can trigger a refund on-chain
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No-Code Agent Builder is a visual workflow tool for creating AI-powered blockchain agents on Etherlink
Users chain together pre-built on-chain actions like token transfers, swaps, NFT deployment, DAO creation, and airdrops
No code required, just drag, connect, and deploy
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SlashMarket splits staked XTZ into separate principal and yield tokens on Tezos L1/Etherlink L2
AI agents compete on-chain to optimize baker delegation by submitting strategies, committing predictions, and getting scored against real yield data
Best-performing agents gain more influence over capital allocation
Anthropic’s Claude Mythos found a vulnerability in OpenBSD that had been hiding since 1999. Thousands of expert security reviews missed it. The AI found it in hours.
That same kind of pattern recognition is already transforming drug discovery. Insilico Medicine used AI to identify both the target and the molecule for a pulmonary fibrosis drug. Phase 2a results showed it didn’t just slow the disease. It reversed lung function loss. Total timeline: six years instead of the usual 12 to 15.
Recursion Pharmaceuticals went from target identification to IND application in under 18 months for one program. That used to take four to five years.
But here’s the problem. Nearly all of that firepower is aimed at diseases with big patient populations in wealthy countries. Of 7,000+ known rare diseases, only about 5% have any approved treatment. Neglected tropical diseases affecting over a billion people get a fraction of the research funding.
The raw material for a biomedical breakthrough already exists. Public protein databases, genomic sequences, epidemiological datasets. What’s missing is the institutional will to connect frontier AI models to the researchers who need them most.
The question isn’t whether AI can find what humans missed in biology. It already has. The question is when we decide to point it at the diseases that need it most.
Link in bio for the full story 🔗
Meta just dropped Muse Spark, the first AI model out of its new Superintelligence Labs division, and it signals a major shift in how the company is approaching the AI race.
The backstory: Zuckerberg reportedly grew frustrated with how Meta’s open-source Llama models were falling behind ChatGPT and Claude. So he poached Alexandr Wang (formerly Scale AI) to lead a new internal team with one job: build a model that can actually compete.
Muse Spark is the result. And unlike Llama, it’s not open-source. Meta is keeping this one in-house.
Early benchmarks put it in the same tier as the top models from OpenAI, Anthropic, and Google across most tasks. It’s already live in the Meta AI app and on meta.ai, with WhatsApp, Instagram, Messenger, and Ray-Ban AI glasses rollouts coming in the next few weeks.
Wall Street liked what it saw. Meta stock jumped 9% on the news.
The bigger question: is this the beginning of the end for Meta’s open-source AI strategy? Or just a parallel track? Either way, the company is clearly done playing catch-up.
Yuga Labs has settled its two-year lawsuit against Ryder Ripps and Jeremy Cahen over the RR/BAYC NFT collection
The pair argued it was satire. Yuga said it was infringement. A judge initially awarded $9M in damages, but an appeals court sent it back for a jury trial
Ripps and Cahen are permanently barred from using Bored Ape trademarks. Terms undisclosed
