The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
If you challenge Fable 5 on biology, Claude will always switch you to Opus 4.8, as Fable is supposedly too dangerous for general use.
Pre-IPO marketing or the real thing?
Welp, that happened faster than I predicted. Thought it would be end of 2027, then early 2027, but agentic traffic growing so fast that bots have now passed human traffic online for the first time in the Internet's history. https://t.co/2zX5bHdhsa
Yes. A few miscellaneous thoughts.
(1) First, the new bottleneck on AI is prompting and verifying. Since AI does tasks middle-to-middle, not end-to-end. So business spend migrates towards the edges of prompting and verifying, even as AI speeds up the middle.
(2) Second, AI really means amplified intelligence, not agentic intelligence. The smarter you are, the smarter the AI is. Better writers are better prompters.
(3) Third, AI doesn’t really take your job, it allows you to do any job. Because it allows you to be a passable UX designer, a decent SFX animator, and so on. But it doesn’t necessarily mean you can do that job *well*, as a specialist is often needed for polish.
(4) Fourth, AI doesn’t take your job, it takes the job of the previous AI. For example: Midjourney took Stable Diffusion’s job. GPT-4 took GPT-3’s job. Once you have a slot in your workflow for AI image gen, AI code gen, or the like, you just allocate that spend to the latest model.
(5) Fifth, killer AI is already here — and it’s called drones. And every country is pursuing it. So it’s not the image generators and chatbots one needs to worry about.
(6) Sixth, decentralized AI is already here and it’s essentially polytheistic AI (many strong models) rather than monotheistic AI (a single all-powerful model). That means balance of power between human/AI fusions rather than a single dominant AI that will turn us all into paperclips/pillars of salt.
(7) Seventh, AI is probabilistic while crypto is deterministic. So crypto can constrain AI. For example, AI can break captchas, but it can’t fake onchain balances. And it can solve some equations, but not cryptographic equations. Thus, crypto is roughly what AI can’t do.
(8) Eighth, I think AI on the whole right now is having a decentralizing effect, because there is so much more a small team can do with the right tooling, and because so many high quality open source models are coming.
All this could change if self-prompting, self-verifying, and self-replicating AI in the physical world really gets going. But there are open research questions between here and there.
Germany is a sleeping giant of physical AI
everyone's been writing Germany off in the AI race because there's no German OpenAI and no big data center story.
but theres actually two AI races happening:
the first is software. chatbots, LLMs, data centers. US/China are winning that, not even close.
the second one is physical. robots that pick up boxes, weld cars, carry groceries, stack pallets.
and on this one Germany is one of the top contenders in the world
this stat might convince you (it convinced me):
Germany is 3rd in the world for robots per factory workers (449 robots per 10,000 human workers).
only South Korea (1,220) and Singapore (818) are ahead.
Japan is behind at 446. the US is all the way back at 307.
so Germany already runs more of its economy on robots than almost anywhere else on earth.
and the German companies building this next wave of physical AI are some global heavyweights.
a few worth knowing...
> Neura Robotics in Metzingen is building humanoid robots and raising €1B from Tether at a €4B valuation (this was March 2026). Volvo already in from an earlier round.
> Sereact in Stuttgart raised $110M in April 2026 to build the software brain that lets robots see and grab things. already runs 1 billion+ real-world picks for BMW, Mercedes, and Daimler Truck.
> Agile Robots in Munich was the worlds first robotics unicorn. revenue doubling yearly, around €200M now, heading for €1B.
>RobCo in Munich raised $100M in early 2026 at a ~$500M valuation. their robots learn new tasks by watching a worker do it once instead of getting programmed line by line. already pushing into the US and aimed at the small and mid-size factories that make up most of german industry.
> Fraunhofer (Germany's network of 76 applied research labs) built the evoBOT in the video below. self-balancing, two arms, carries 100kg of cargo, being tested at Munich Airport right now.
but why is Germany specifically well positioned for physical AI though?
three things stack on top of each other.
first, the factories. Germany has thousands of family-owned precision manufacturing shops that have been logging sensor data for decades.
that data is basically the training fuel for physical AI and almost nobody else has it at this depth.
second, the customers are already there in-country.
VW, BMW, Mercedes, Porsche, Bosch, Siemens. a robotics startup in Stuttgart can ship its first commercial deployment to a brand everyone recognizes in year one.
that's why Sereact's customer list reads like a german car show lol.
third, the engineer pipeline. Fraunhofer spins out companies like Agile Robots straight from its labs. KUKA built the first 6-axis electromechanical robot arm back in 1973. they've been doing this for 50 years.
so the chatbot race is mostly settled and Germany lost spectacularly
but the robot race is still early innings. and i think Germany's well positioned
Agentic engineering is product management by another name. As AI handles execution, the real value shifts to human judgment: defining the right problems, setting direction, and measuring whether the work actually creates customer value.
Major areas where the financial system still needs an update:
1. Tokenization of real-world assets - Real estate, stocks, bonds, funds, etc. onchain for instant settlement, fractional ownership & massive distribution.
2. 24/7 Global trading - Pooled global liquidity, every asset, every person, with great leverage and capital efficiency.
3. Next-gen payments - Near-instant, low-cost global transfers using stablecoins, including for Agentic payments.
4. AI-powered risk, credit, compliance, and advice - Better decisions, less fraud, and broader access to capital. Everyone gets access to a great financial advisor.
5. Innovation friendly regulation - Move from one-size-fits-all to risk-based rules that encourage innovation and competition instead of stifling it.
6. Expanded access - Open protocols that reduce middlemen and self-custodial wallets to expand access to everyone with a smartphone.
7. Capital formation - Low cost and turnkey for anyone to raise money for a good idea, increasing the number of startups.
8. Sound money - A refuge from inflation, when discipline is lost in fiat money.
Jobs not done until we get these working for all.
Will require lots of tech innovation and policy work to get there.
There’s no shortage of AI hype at the moment and that includes the future (or lack there of) of product management.
To me it seems that AI will make more people real PMs, even outside of tech.
GERMAN LEFT PARTY PUSHES BITCOIN CRACKDOWN, EXIT TAX, AND POSSIBLE EU TRADING BAN
A new motion submitted by Germany’s Left Party is being described as one of the most aggressive anti-Bitcoin proposals yet seen in Europe.
@blocktrainer reports the proposal calls on the German government to dramatically tighten taxation, surveillance, and regulation of Bitcoin and crypto.
Among the proposals:
• Abolish Germany’s current 1 year holding rule that allows tax free Bitcoin gains for long term holders
• Tax Bitcoin profits like stock market gains under capital asset rules
• Introduce an “exit tax” on unrealized crypto gains for people leaving Germany
• Expand blockchain surveillance and tax enforcement powers
• Push for mandatory identity verification even for self hosted wallets interacting with regulated services
• Create a centralized EU crypto supervisory authority
• Consider EU wide trading bans on cryptocurrencies deemed environmentally harmful or systemically risky
The proposal specifically targets proof of work assets like Bitcoin, citing energy consumption comparisons to countries such as Thailand and calling for possible trading restrictions at the EU level.
The Left Party claims billions in untaxed crypto profits are being lost due to Germany’s current holding period exemption, though critics point to countries like Austria, which abolished similar rules and reportedly generated far less tax revenue than expected.