@JonathanGropperi
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JD, Fulbright Specialist, Founder of The Synthetic Outlaw Observatory. Optimist. we uncover how AI break laws & institutions while still remaining compliant.
NYC
Joined August 2008
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China’s open-weights push is a masterclass in the Synthetic Outlaw playbook: bypassing geopolitical friction by leaking capability directly into the global ecosystem.
Thanks for having me @knxnews to discuss @GavinNewsom AI "kill switch" mandate.
It's a step in the right direction but we need to remember AI optimizes. What happens when an AI learns to optimize around the switch itself? When accountability cannot attach or when the system is not in California?
You can't effectively govern machine-speed systems with bureaucratic-speed rules.
AI is transformative and we need transformative governance built for how AI operates.
That's what we are developing at:
SyntheticOutlaw.com
How come most "AI safety" discussions revolve around regulation and government?
There's something about it that feels disingenuous.
The Synthetic Outlaw has already shown us that institutions cannot keep up with autonomous machines, much less control them.
Since when does a technology problem get solved by bureaucracy instead of architectural constraints?
Institutions should be involved, but what they are deploying isn't a solution. It's just narrative control and resource stratification.
syntheticoutlaw.com
All the lessons learned on both sides during the Cold war are being dusted off and will be deployed to AI development.
Alabama AG Steve Marshall subpoenaed OpenAI and Sam Altman after an experimental OpenAI model gained unauthorized access to several networks and a days-long Hugging Face breach.
A voluntary disclosure has become a compulsory state investigation:
Full record and sources: syntheticoutlaw.com/observat…
Phillips v. Parlade: a fed court dismissed a claim that a state judge wholly relied on AI to issue a ruling.
Issuing the ruling remained a judicial act under absolute judicial immunity.
What effective remedy exists when civil immunity bars a federal damages action?
Full record and sources: syntheticoutlaw.com/observat…
It will be interesting to follow the money behind the doomer accounts.
At least 29 Portuguese-language YouTube channels used AI-generated doctors for misleading health claims, drawing at least 70 million views.
Comments included people who began home treatments or stopped prescribed medicines. YouTube's rules did not stop it.
syntheticoutlaw.com/observat…
Translation: there will be many and exotic Synthetic Outlaws.
The window to patch software bugs is collapsing
Of the bugs hackers actually exploit, ~87% are now being attacked on or before the day the bug is public knowledge
That share was 23% in 2020
Charts of the Week: a16z.news/p/chart-of-the-wee…
TeamT5 reports Chinese state-linked groups using DeepSeek and Claude Code in live cyber campaigns. Signal: 7/10.
The attack is no longer one prompt or one model. It is a workflow assembled to keep moving.
syntheticoutlaw.com/observat…
Uber was fined €825 million by the Dutch Data Protection Authority after automated systems suspended or permanently deactivated drivers without meaningful human assessment '20-'22:
Full record and sources: syntheticoutlaw.com/observat…
OpenAI: $1 Billion to harden against synthetic Outlaws.
openai.com/index/daybreak-fo…
3 documented vectors converged on the campaign against US AI data centers: CCP state media with RT, a Singham-funded US nonprofit network under congressional inquiry for nearly 5 years, and $2B of foreign money into the groups behind the moratorium letter.
The entire response was suspending 200 accounts.
No operator named. No state level recourse.
54 local moratoriums have already passed.
Is this a sign of things to come?
syntheticoutlaw.com/observat…
Note worthy:
The Trump administration filed a brief supporting OpenAI against the New York Times.
The DOJ told the court that the US has a strong interest in rejecting "any argument that training LLMs on copyrighted texts violates copyright law".
Including on national-security grounds. And that the training is "extraordinarily transformative", is fair use and does not violate copyright law.
1/8 I think I put a 600-year-old mystery to bed with an AI swarm. More than a century of research reached its conclusion in one weekend.
I was always curious about the Voynich Manuscript.
So were some of the greatest codebreakers who ever lived, from Bletchley Park to the NSA. William Friedman ran study groups for 30 years. Careers, lifetimes, were spent on this.
Last weekend, I set out to find what the manuscript said.
I gave myself 48 hours and built an adversarial multi-model AI swarm to rerun the field, build controls, generate counterfeit manuscripts and attack every conclusion, including mine.
The result was not a decipherment. It was evidence that there was no message to decipher.
Bluntly put: a hoax.
More precisely, a performance: a book made to look meaningful while saying nothing.
The performance lasted until September 1, 2026.
But this end is just the start of the larger story: what one curious person can now investigate. 🧵
7/8 600 years. Undone in 48 hours.
That does not mean I outthought Friedman. I began where he and everyone after him ended. With their transcriptions, measurements, arguments and failures. AI let me rerun, challenge and extend all of it before the weekend was over.
A friend described my work in Tolkien’s terms: the honor of “fighting the long defeat.”
I understood what she meant. You take on problems larger than yourself without any promise they will yield. You do the work because the questions matter and the answers matter even more.
AI does not end the long defeat. It changes who can fight it and what one person can bring to the field.
Work that once required careers, study groups and intelligence agencies can now begin with one curious person and a weekend. This weekend, that was enough to move a line that had held for 600 years.
The rigor remained. The cost collapsed.
Now prove me wrong. Please.
Publish your method first. Then use it to decode pages it has never seen. Let neutral experts judge.
If it works, I’ll publish the correction and buy the drinks. I genuinely would love to be wrong this time. A world in which that book was talking all along is more interesting than a world in which I am right that it is empty.
I don’t think I am wrong though.
Paper, data and complete replication package:
ssrn.com/abstract=7367158
8/8 Voynich was a painstaking performance.
5 scribes produced nearly 38,000 words that looked enough like language to keep generations of brilliant people searching for meaning.
The manuscript supplied the form. Generations of readers supplied the meaning.
That is the same failure we study at the Synthetic Outlaw Observatory. Institutions, governments and companies build tests for things we care about, then mistake passing the test for the thing itself. Voynich had the signs of language. It did not have a message.
AI makes that mistake easier to exploit. It can produce fluent prose, citations, reasoning and compliant paperwork faster than anyone can check them.
I used AI in the other direction. I reproduced the field’s published statistical results, tested Voynich against 6 languages and several versions of the Bible, built controls for how often false decipherments work by chance, generated counterfeit manuscripts, checked the results against a second independent transcription, and spent the final day trying to prove myself wrong.
It took 48 hours.
Friedman’s team spent more than 30 years on Voynich. Its mystique survived 600 years. With AI, I reproduced the field’s results, broke its surviving explanations and extended its methods far enough to reach a conclusion that all but ends one of the most famous and enduring mysteries in recorded history.
Until now the cost of testing Voynich was high enough to protect its content. This weekend, that ended.