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As someone that has sourced and brokered 7-8 figure M&A deals on both buy-side and sell-side, the @proof_xyz and @moonbirds acquisition is a huge win for @yugalabs and by extension, @BoredApeYC holders. King move by @CryptoGarga @dalegre and the team. Let me explain👇 – at Central Region, Singapore
Yuga Labs has acquired @PROOF_XYZ, which includes PROOF Collective, @Moonbirds, Mythics, @oddities_xyz, and @Grails exhibition series.
For more information, see the official Yuga News blog:
news.yuga.com/yuga-labs-acqu…
Missed ape fest to celebrate another trip around the ☀️ with good friends, alright 🍷 and no beef left behind🍖🔥
docwagmi.eth retweeted
Last month, the contracts powering Magic Eden were exploited to the tune of millions of dollars. I was lucky enough to be in a position to rescue a good portion of that, but it highlighted the danger of leaving approvals open as adversaries get access to better and better tools for finding holes in contract logic.
Today, Blur announced that they will be deprecating their frontend.
I've investigated Blur and found no exploits within the current contracts. However, the Blur contracts are upgradable, meaning that they could turn malicious at any time.
They currently have eight figures worth of NFTs approved to them. The safety of those NFTs effectively hinges on the opssec of the Blur team, which appears to be disbanding at this time.
If you have open approvals to Blur, I recommend you remove them immediately. Use revoke.cash or similar to ensure that you are protected in case of a contract exploit or later upgrade.
Don't wait. The time is now.
Strategy announces a Digital Credit Capital Framework designed to strengthen Digital Credit, enhance liquidity, preserve long-term Bitcoin exposure, and support long-term value creation. $MSTR $STRC
strategy.com/press/strategy-…
docwagmi.eth retweeted
Ape #6941
Bought for 8.87 ETH
0xd7ad...f388 🤝 docwagmi.eth
etherscan.io/tx/0x32c43d2d61…
Return to Monke: opensea.io/collection/boreda…
bored ape yacht club
Exponential vibe coded slop. Good for prototyping and retrieving info but breaking in production. Anyone else seeing this and have any solutions?
The posts really resonates now with everyone and their grandma approaching me with a vibe coded digital health idea that cannot survive a few basic user journey tests let alone formal red teaming or adversarial testing.
Literature seems to suggest the same - that LLM vibe coding breaks in sequential tasks, especially code base maintenance and upgrades over time
arxiv.org/abs/2603.03823
🔥It took 2 men with AI and 20K, 2 years to scale a reported healthcare unicorn
This week, a compelling story broke of how an AI-enabled "telehealth" startup scaled in 2 years to a reported $400M revenue. It has been making its rounds and excitedly shared with me by juniors and doctors that I mentor.
It undeniably signals something truly exciting. AI is compressing the time, cost, and talent traditionally required to build and scale healthcare businesses. These are unprecedented times.
However, in healthcare, speed comes with trade-offs. Alongside the growth narrative are equally important signals, with questions around deceptive marketing practices, regulatory gaps, and patient privacy violations.
This is where many new innovators underestimate the domain. Healthcare is not "just another market" for entrepreneurs.
1. You are not just acquiring users. You are influencing patient decisions.
2. You are not just scaling software. You are designing care pathways for individuals while managing clinical risk.
3. You are not just iterating products. You are operating within regulated medical frameworks that provide protections for individuals.
The “move fast and break things” playbook may work in consumer tech, but not in healthcare. Here, what breaks can be patient safety, public trust, and legal boundaries.
We are entering an era where a single individual can build at unprecedented scale with tools like Claude and other AI systems.
That is powerful. But the bar in healthcare is higher. Clinical safety, medical ethics, data governance, transparency, and regulatory alignment are not constraints, they are pillars of the product and moat.
For new builders entering healthcare I would say this: Move fast, but validate faster, govern early, and design for patient safety from day one.
Because in healthcare, how you build matters just as much as what you build.
Links👇
🚨 AI is no longer just a tool in healthcare. It's gradually becoming a clinical partner.
Our manuscript just published in Nature Digital Medicine examines limitations with existing governance and regulations for AI softwares, that stifle the adoption of GenAI in healthcare.
Today the real challenge is less in the technical development and training of AI. It is shifting to applied AI and the management of these information systems. If done well, it will likely be AI and providers working together to enhance patient care and healthcare as a whole.
Curious to hear the perspectives of friends/colleagues at this intersection of Health, Agents and AI on our Nature DM publication @tengyanAI @ethermage @celesteanglm @everythingempty @RiverNoLimits @FIFI_BA0 @CryptoMcSteamy @noahkaufmanmd
nature.com/articles/s41746-0…
I like this sentiment but I do not think they were wrong. Transmission of monetary debasement to repricing of value transmits more cleanly to PM and other hard assets with steady demand versus equities that contend with regulations, supply shocks and unions to realise value.
