🚨BREAKING: TRUMP ON ANTHROPIC
REPORTER: Do you view Anthropic and to a degree its CEO, Dario Amodei, as a threat to national security?
TRUMP: "Well, not now, but a week ago, maybe. I was with him yesterday, he made a speech... seemed like a nice guy, smart guy. But he responded to us very quickly, because you know it's a tremendous liability… he responded very responsibly, I thought."
REPORTER: Would you consider using the Defense Production Act to possibly regulate or control AI?
TRUMP: "I would, but, I'm not sure I have to do that. I think so far it's been very responsible. Actually, it was a competitor, and a part-owner, that turned Anthropic in…"
jonjon retweeted
I've been saying this since last year: what's coming is the industrial revolution on steroids. This is the biggest shift we'll experience as a species. Not close to anything before.
And most people have zero clue about what just happened yesterday.
Last week I watched a talk by Nicholas Carlini, a research scientist at Anthropic. He pointed Claude Code at the Linux kernel source with a simple script and it found a vulnerability in the NFS driver that had been hiding since 2003. Twenty-three years of research and development, thousands of engineers, and nobody caught it. An AI found it in hours.
His words: "I've found more bugs in the last few weeks with Mythos than in the rest of my entire life combined."
That was last week. Yesterday it got way bigger.
Anthropic launched Project Glasswing. They built Claude Mythos, a model so good at finding software vulnerabilities that it autonomously discovered a 17-year-old remote code execution exploit in FreeBSD. One prompt, root access, game over. It already found thousands of zero-days across every major operating system and browser. Every. Single. One.
Now read this list of companies that immediately joined forces: AWS, Microsoft, Google, Apple, NVIDIA, Cisco, CrowdStrike, Broadcom, JPMorganChase, Palo Alto Networks, and the Linux Foundation.
That's not a press release. That's a war room.
AWS, Azure and Google Cloud together own 63% of the world's cloud infrastructure. The servers running your bank, your government, your hospital. When those three drop everything to work together with the company that built this model, it's because they understand what happens if this gets out without guardrails. States, banks, any institution that holds society together could be compromised in a single prompt. This is not a drill.
And here's the thing that should really hit you: probably less than 1% of the world's population will even hear about this. You're reading this because you're on X. That's it. That's the filter. The gap between what's actually happening in AI and what the average person knows is getting wider every single day. By the time mainstream media covers this properly, the world will have already moved three steps forward.
We're living through the biggest technological inflection point in human history and most people are scrolling past it.
Pay attention.
Anthropic@AnthropicAIApr 7🇺🇸
United StatesConnected via WebAccount-level information, not a live location or per-post device.
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.
It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
anthropic.com/glasswing
jonjon retweeted
Replying to @eachtras
I am not going to motivate you because if you need motivation from a stranger on a plane the answer is stay
but I will give you the game theory
your corporate M&A gig is a repeated game with diminishing marginal returns. year 1 you learn everything. year 2 you refine it. year 3 you are executing pattern recognition. year 4+ you are being paid more to do the same thing with slightly larger numbers. the learning curve flattens but the golden handcuffs tighten because every year the comp goes up and the opportunity cost of leaving gets more painful on paper
this is a classic status quo bias trap. the payoff of staying is known and comfortable. the payoff of leaving is uncertain and scary. so you stay not because staying is optimal but because the asymmetry of regret is lopsided. you can imagine regretting the leap. you cannot as easily imagine regretting the years you stayed too long because that regret builds slowly and never hits you in one moment
here is where game theory actually helps:
in your M&A seat you are playing someone else's game. the firm sets the rules, the deal flow, the comp structure, the promotion timeline. you optimize within their framework. you are a very well-compensated player in a game you did not design. your upside is capped by whatever the partnership or MD economics look like. your downside is protected by a salary. that is the trade
owning a local business flips the entire payoff matrix. you design the game. you set the rules. the downside is real and unprotected but the upside is uncapped and compounds in ways a salary never does because you own the equity. a $2M EBITDA business bought at 4x and grown to $3M EBITDA over 3 years is worth $12-15M on exit. no M&A salary trajectory produces that kind of wealth creation in that timeframe unless you are a founding partner
the Nash equilibrium of your current situation: you and every other M&A professional are competing for the same promotions, same deal credit, same bonus pool. the competition is fierce because the players are identical. same schools, same skills, same hours. you are in a crowded equilibrium where everyone works 80 hours to stay in the same relative position
local business ownership is a different game with different players. the competition is a 62-year-old owner who stopped innovating in 2014 and a 35-year-old who inherited the business and does not want to be there. you walk in with financial sophistication, deal structuring experience, and the ability to read a balance sheet faster than anyone in the room. you are overqualified for the game which is exactly where you want to be. the best strategy in game theory is to play games where your existing skill set gives you an asymmetric advantage over the other players
the timing question is about optionality. every year you stay in M&A your financial optionality goes up slightly because you save more. but your operational optionality goes down because you get further from the reality of running anything. the M&A guy who leaves at 28 adapts to operations in 6 months. the one who leaves at 38 has a decade of habits built around delegating to analysts and reviewing decks, and managing a P&L feels foreign in a way it would not have 10 years earlier
but again. if you need me to motivate you, stay. the people who actually do this do not need motivation. they need a spreadsheet that shows the math works and then they cannot NOT do it. if you have the spreadsheet and you are still asking strangers for motivation the spreadsheet is not the problem
jonjon retweeted
My ADHD fighting my ADHD created this.
Feel free to collab =)
Claude Code - Monitorator -
github.com/bebe-acme/monitor…
jonjon retweeted
Starting Monday every @bombocommunity employee gets Claude Desktop + Cowork access, no matter the area. Plus a token budget to spend on whatever other AI platform they need.
IT and Product teams get Claude Code $200/mo each.
Weekly training included because honestly there's no way to keep up with this pace otherwise.
@bcherny @AnthropicAI companies need to start massive training programs on this. Now.
jonjon retweeted
Not sure where I just saw this but this is a god send
EVM based skills for claudio, made by the one and only @austingriffith
ethskills.com/
Anthropic had 16 AI agents build a C compiler from scratch. 100k lines, compiles the Linux kernel, $20k, 2 weeks.
To put that in perspective GCC took thousands of engineers over 37 years to build. (Granted from 1987 - however) One researcher and 16 AI agents just built a compiler that passes 99% of GCC's own torture test suite, compiles FFmpeg, Redis, PostgreSQL, QEMU and runs Doom.
They say they "(mostly) walked away." But that "mostly" is doing heavy lifting.
No human wrote code but the researcher constantly redesigned tests, built CI pipelines when agents broke each other's work, and created workarounds when all 16 agents got stuck on the same bug.
The human role didn't disappear. It shifted from writing code to engineering the environment that lets AI write code.
I don’t know how you could make the point AI is hitting a wall.
jonjon retweeted
Introducing Fin: The world’s first AI Chief Financial Officer.
Fin outperforms humans 100% of the time.
RT + Comment “FIN” and I’ll send you an AI agent that saves 6-7 figures/year.
jonjon retweeted
We are this close to this agent army that is already gathering to take over X and all social networks without us even knowing if we are dealing with an agent or real people.
IRL connections will be the new social layer for humans.
jonjon retweeted
We’re entering a new era of operating systems. Apps built in real time, exactly when you need them. Apps as we know them? Gone. UX/UI design? Gone. The future is voice.
=)
𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗧𝘄𝗶𝗻 — 𝘁𝗵𝗲 𝗔𝗜 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗯𝘂𝗶𝗹𝗱𝗲𝗿.
No setup. Secure. Infinitely scalable.
We just raised a $𝟭𝟬𝗠 𝘀𝗲𝗲𝗱.
After a beta with 𝟭𝟬𝟬,𝟬𝟬𝟬+ 𝗮𝗴𝗲𝗻𝘁𝘀 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱, we’re now opening to everyone.
RT and comment “Twin” — first agents on us. 👇
jonjon retweeted
DeFi innovation has stalled for too long
Everyone focused on external yield sources
We focused internally
Polaris is the next generation of decentralized stablecoins
Yield bearing
Scalable
Immutable
Counterparty free
This is DeFi, not tradfi with extra steps
jonjon retweeted
Going open source with our Claude Code & Codex dev setup. Is the same config we run for all devs at @acme_io and @bombocommunity to make them %200 faster.
Stay tuned, we want the community building on this
Ship or ship, that is the way
@emivelazquez6
@patocaboo
@FaustoR0
@jonjonflo_
@BautiDeFi
@steipete
jonjon retweeted
No Other Choice didn’t get a single nomination. Naturally, Park Chan-Wook now has to kill the other nominees until they reluctantly give him the Oscar.
jonjon retweeted
UI/UX is dead. Big screens are next.
Most people haven’t realized it yet.
In a little over a year, we won’t depend on searching for things on a screen with our eyes and a mouse pointer. It’ll just be talking to an agent and getting the information we want.
I’m already there. Want to know my calendar for today? I ask Clawdebot. Add a meeting? Same. Check a list of saved bookmarks? I just ask, the same with mostly all the apps I use.
In a few months this will be accessible to anyone through WhatsApp. Spreadsheets, docs, productivity tools like Slack, Notion, Obsidian—all of it will flow through a chat with your personal agent.
The era of humans hunting for information with their eyes and a cursor is ending.
Tom Osman 🐦⬛@tomosmanJan 21🇪🇸
SpainConnected via Spain App StoreAccount-level information, not a live location or per-post device.
jonjon retweeted
69 reasons yield-bearing stablecoins are the future of payments👇
Most stablecoins — like USDC, USDT, or MXNe — only hold value. They don’t generate it. That means every user and business loses the yield they could earn elsewhere — effectively a zero to one, in terms of opportunity cost.
Yield-bearing stablecoins — such as our CETES, TESOURO, USTRY, EUROB, and GILTS — fix that by embedding yield from audited sovereign debt directly into the asset. The result is a lower cost structure: the yield offsets what non-yield coins lose.
Businesses are rational. They’ll always move toward cheaper, safer, and more efficient options once they exist. If you’re building or integrating payments with non-yield stablecoins today, you’re likely spending 3–6 months on something that will be obsolete within a year.
Your competitors will use yield-bearing stablecoins instead. They’ll process payments with lower costs and generate income from their float — across multiple currencies, not just USD. That advantage compounds over time.
Companies holding non-yield stablecoins effectively subsidize their issuer’s margins. Those holding yield-bearing assets reduce their own cost base while earning a return from the same underlying stability.
@etherfuse enables this model safely:
- Bankruptcy-remote structures under Swiss law
- Audited vaults holding only sovereign debt (CETES, TESOURO, GILTS, USTRY, EUROB)
- Native and international payment rails, including SPEI for MXN
This creates stability that earns, not just holds.
Stablecoins solved for volatility. Yield-bearing stablecoins solve for efficiency. They’re not a trend — they’re the next standard for how money moves. Build for tomorrow.























