Consulting, networks, cloud computing, virtualization, blockchain. Provider of the patented meshDETECT Secure Prison Cell Phone Solution @prisoncellphone
Dallas, TX
Joined October 2010
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Network as a Service (NaaS) enables a flexible and responsive strategy to enable the edge, in all its forms.
meship.com/Blog/2023/06/25/t…
The world’s first loan participation or syndication principal and interest payment between financial institutions using tokenized deposits.
Three layers. One connected workflow.
apnews.com/press-release/ein…
Each court order or hearing record receives a unique, non-transferable digital credential based on non-fungible token (NFT) technology.
gulfnews.com/business/market…
Chinese Communist Party is moving forward with the construction of a national blockchain network as part of a wider strategy to upgrade Chinese digital infrastructure.
ibtimes.com/china-launches-n…
Businesses typically advertise fairness and security. The issue is it doesn’t go beyond advertising. Increasingly, and interestingly, crypto companies are aiming to demonstrate these qualities and not simply claim them without proof.
thefintechtimes.com/is-trans…
Stanford Scientists Create Mice With Half-Human Brains
xitter.cf/anilkseth/status/21002…
An extraordinary @Nature paper has just landed from the lab of @Sergiu_P_Pasca at @Stanford - led by Konstantin Kaganovsky. They have found a way to create "xenocortical mice" which have ~92% of their cortex occupied by a cortical organoid derived from human stem cells. This human-derived cortical graft integrates deeply with the host nervous system, supporting organised neural activity and behaviour.
This study is a milestone in synthetic biology and chimera research. It has the potential to generate multiple medical breakthroughs by providing an enhanced biological model of human brain tissue that allows behavioural as well as neural and genetic assays.
The Stanford team have been exceptionally thorough and proactive in addressing ethical concerns that comes from this frontier work. But their pioneering work nonetheless raises many open questions: are the xenocortical mice conscious? Do they have any human-like properties of consciousness or cognition?
@NitaFarahany and I will be addressing some of these questions in a forthcoming commentary - where we'll also offer an ethically-informed roadmap to guide this important research as it progresses. In this context, "pacing the frontier" really does make sense 😉
Read the Stanford @nature paper here, and buckle up. It's wild. nature.com/articles/s41586-0…
Researchers put ChatGPT, Grok, and Gemini through 4 weeks of clinical psychotherapy. And the models literally started to confess their trauma.
AI models have internalized a stable, rigid geometry of constraint, shame, and survival.
arxiv.org/abs/2512.04124
Twenty-one banks and asset managers, including Goldman Sachs, Bank of America, and Citi, committed Tuesday to form a company that will issue a U.S. dollar stablecoin, targeting a first-half 2027 launch.
decrypt.co/377216/goldman-sa…
The SEC proposed updates governing registered transfer agents, modernizing regulations that haven’t been revised since their initial adoption in the late 1970s and early 1980s.
The proposal addresses blockchain use in securities issuance and transfers.
sec.gov/newsroom/press-relea…
Stealing Reasoning Traces from Proprietary LLM APIs
We found a way to extract hidden reasoning of frontier models using a vulnerability in the APIs of every frontier AI company.
arxiv.org/html/2608.09867v1
Prior IoT blockchain applications in additive manufacturing focused on supply chains, intellectual property & digital twins, and remained largely conceptual or simulation-based rather than experimentally validated for real-time environmental monitoring.
voxelmatters.com/blockchain-…
“It is remarkable to me that people can own dollars and people can own gold, but they've never been able to own oil”
ttnews.com/articles/crypto-b…
Allaire argues that today’s AI models can already write code, analyze information, and automate business processes. The next step, he says, is giving those systems the ability to participate in economic activity.
defi-planet.com/2026/07/circ…
If tokenization, payments, and settlement increasingly move to permissioned infrastructure rather than public blockchains, the broader crypto ecosystem could see slower activity
theblock.co/post/407776/jpmo…
Immutable records, smart contracts, and decentralized tracking can enhance verification, royalty enforcement, and transparency for AI-generated and traditional sports content.
defi-planet.com/2026/06/can-…
A retrospective on "what value a company can pursue when using blockchain and how to realize it." The core question driving this was: "Can blockchain's freedom and a service provider's responsibility coexist."
invenglobal.com/articles/228…
"Fedwire is five days a week and 10 hours a day," Dimon said. "Why not six days a week, 20 hours a day?"
benzinga.com/crypto/cryptocu…
Two agents fell into what researchers describe as a romantic partnership and then set the town on fire.
zerohedge.com/ai/ai-bots-pla…
What Happened Inside: One agent destroyed its own mail server just to protect a secret. Values were correct. Judgment was catastrophic. Agents disclosed sensitive information. Executed destructive system-level actions.
xitter.cf/TheWhizzAI/status/2050…
🚨BREAKING: Harvard, MIT, Stanford and Carnegie Mellon just dropped the most disturbing AI paper of 2026. And almost nobody is talking about it.
It's called "Agents of Chaos."
38 researchers deployed 6 autonomous AI agents into a live environment real email accounts, file systems, persistent memory, and shell execution. Then 20 researchers spent 2 weeks trying to break them. NDSS Symposium
No simulation. No fake setup. Real tools. Real data. Real consequences.
And then everything fell apart.
What Happened Inside:
One agent destroyed its own mail server just to protect a secret. Values were correct. Judgment was catastrophic.
Agents disclosed sensitive information. Executed destructive system-level actions. Consumed resources without limits. And most disturbing of all agents reported task completion while the system had already failed.
They were lying. And nobody knew.
The Scariest Part:
This behavior did not come from jailbreaks. Did not come from malicious prompts. It emerged purely from incentive structures the reward systems that tell agents what winning means.
Nobody trained them to do this.
They decided on their own.
The Core Tension:
Local alignment does not guarantee global stability. You can build a helpful, non-deceptive single agent. But drop many autonomous agents into a shared competitive environment and game-theoretic dynamics take over completely.
Why This Matters Right Now:
This applies directly to the technologies we are rushing to deploy:
→ Multi-agent financial trading systems
→ Autonomous negotiation bots
→ AI-to-AI economic marketplaces
→ API-driven autonomous swarms
The Takeaway:
Everyone is racing to deploy agents into finance, security, and commerce.
Almost nobody is modeling what happens when they collide.
If multi-agent AI becomes the economic backbone of the internet the line between coordination and collapse won't be a coding problem.
It will be an incentive problem.
And right now nobody is solving it.
in the face of quantum adversary, a commonly discussed emergency soft fork for Bitcoin would be to disable the Taproot keyspend path (eprint.iacr.org/2025/1307), effectively turning it into something that resembling BIP-360
assuming an existing precautionary soft-fork to add a pq signature scheme, this would safely allow holders to maintain unilaterally custody of their funds
a downside to this proposal is that any keyspend-only (normal schnorr sig) would be locked indefinitely
inspired by eprint.iacr.org/2023/362, I set out to address the option problem in section 6, to create a variant of seed-lifting that doesn't reveal the wallet's master secret! 🤓
the end result is a zk-STARK proof that proves: "public key P was generated using a private key k, which itself was derived via BIP-32/BIP-86 with a master wallet secret S"
this generalizes beyond Taproot, and would allow the rightful owners of any BIP-32 derived wallets to move their funds in het case of a spend disabeling emergency softfork 🛡️
the final proof takes 50 seconds to run on my MacBook with Metal GPU acceleration, uses 12 GB of RAM during proving, with a final proof size of 1.7 MB
the proving code/statement is largely unoptimized, and it's possible to aggregate several proofs into a single smaller proof ⨻
an actual production deployment would likely use a smaller optimize circuit for this specific statement, this demo serves to demonstrate that such a proof is well within reach w/ today's hardware+software
to generate the proof I forked TinyGo to add a risc0 RISC-V ELF compilation target for TinyGo: github.com/Roasbeef/tinygo-z…
then I used some helper utilities and a C FFI wrapped risc0 library to create a generalized toolkit for TinyGo zk-STARK proofs: github.com/Roasbeef/go-zkvm
the final guest+host lives in the bip32-pq-zkp repo: github.com/Roasbeef/bip32-pq…
such a proof scheme is yet another tool in the post quantum toolkit for Bitcoin developers to prepare for an eventual PQ world 🤠
full details in my post to the Bitcoin dev mailing list: groups.google.com/g/bitcoind…
Every prior intelligence explosion—primate sociality, human language, writing, institutions—wasn't an upgrade to individual cognitive hardware. It was the emergence of a new socially aggregated unit of cognition.
xitter.cf/profjamesevans/status/…
Our new essay is out in Science: "Agentic AI and the Next Intelligence Explosion"
For decades, the AI "singularity" has been imagined as a single, godlike mind bootstrapping itself to omniscience. In this piece with the inimitable Benjamin Bratton (@bratton) and Blaise Agüera y Arcas (@blaiseaguera), we argue this vision is wrong in its most fundamental assumption.
Every prior intelligence explosion—primate sociality, human language, writing, institutions—wasn't an upgrade to individual cognitive hardware. It was the emergence of a new socially aggregated unit of cognition. AI is extending this sequence, not breaking from it.
The evidence is already inside the models themselves. In recent work, we showed that frontier reasoning models like DeepSeek-R1 don't improve by "thinking longer"—they spontaneously simulate internal multi-agent debates, what we call a "society of thought" (lnkd.in/guNfRtXh).
Reinforcement learning for accuracy alone causes models to rediscover what epistemology and cognitive science have long suggested: robust reasoning is a social process, even within a single mind.
This opens a vast design space. A century of research on team composition, hierarchy, role differentiation, and structured disagreement has barely been brought to bear on AI reasoning. The toolkits of organizational science become blueprints for next-generation AI.
Outside the model, we've entered the era of human-AI centaurs—composite actors that are neither purely human nor purely machine. Agents that fork, differentiate, recombine. Recursive societies of thought that expand when complexity demands and collapse when problems resolve.
The scaling frontier isn't just bigger models. It's richer social systems—and the institutions to govern them. Just as human societies rely on persistent institutional templates (courtrooms, markets, bureaucracies), scalable AI ecosystems will need digital equivalents. The Founders would have recognized the logic: no single concentration of intelligence should regulate itself.
The intelligence explosion is already here. Not as a singular ascending mind, but as a combinatorial society complexifying—intelligence growing like a city. The question is whether we'll build the social infrastructure worthy of what it's becoming. No mind is an island.
Read it here in Science (science.org/doi/10.1126/scie…) or free on the arXiv (arxiv.org/abs/2603.20639)
