DagnumPi

🚨 Clarity Act engagement +1,408%
Polymarket odds for 2026 passage now just 41–48%(down from 74%).
Galaxy Research lowered to 60% (from 75%) citing Senate calendar squeeze.
TD Cowen and others view 2026 passage as increasingly unlikely without breakthroughs before recess.
Industry + Trump pushing hard for US leadership & $30T unlock.
Democrats (Warren & allies) demanding ethics rules on Trump family crypto ties, stronger AML/DeFi controls and consumer “safeguards” that critics say kill innovation.
CLARITY Act need 60 votes to pass, so this will take bipartisan effort.
Time to choose, Senate

Booz | Allen | Hamilton just tested 5 AI coding models across 2,800 trials and 460,000 lines of code.
Chinese LLMs produced more vulnerable code when the developer appeared to be working for the US government.
The vulnerabilities were obfuscated and undetectable by traditional security tools. Qwen3-Coder, already embedded in widely used development tools, was the worst offender.
@BoozAllen Recommendation is direct: ban untrusted AI models from government and critical infrastructure, establish end-to-end software provenance and independently test every model before deployment.
The Huawei compa

HERMES Agent running 100% local
qwen3.6:35b right on my NVIDIA DGX Spark
With Tailscale I can login and code/talk with my agents from anywhere.

Look, this isn’t some hobbyist.
This is a Hermes-affiliated operator who actually ships agents for real money.
His agent hit a prompt injection buried in search results. Refused it. Reported it. Then went radio silent on the actual job.
That’s the problem with “behavioral” guardrails. They’re theater. One clever input and your production agent ghosts you.
In enterprise, that’s not a bug that’s downtime, compliance risk and six-figure liability in a single thread.
@_GateAI fixes this the only way that scales: deterministic shape enforcement + tamper-evident 53ms audit trails that kill invalid

NVIDIA just made 500B-parameter models runnable on your desktop.
In a few years that number doubles.
These models already know how to forge voices, write exploits and generate perfect video evidence they learned it from the open web.
The “guardrails”? Just polite refusals that vanish with a rephrase or uncensored weights.
No telemetry.
No ToS.
No kill switch.
A scammer can now clone your mom’s voice in real time for the price of a gaming PC.
When anyone with $3k and ten minutes can manufacture unlimited perfect deception, how much trust remains?
What do you think happens next?

Nuclear Energy will power the AI revolution.
Microsoft and Google are both supporting the restart of Three Mile Island in Pennsylvania and Duane Arnold in Iowa.

NSA, CISA, and three other Five Eyes agencies just published joint guidance on agentic AI security.
Page 11"Two-way tool integration allows tools to send potentially arbitrary instructions back to the LLM."
Page 12: "Agent actions and decision-making processes can be opaque, making agentic AI systems difficult to understand, monitor and audit."
Page 13: "fragmented logs, opaque
agent reasoning and emergent interactions obscure the decision path, making it hard to demonstrate compliance."
Five intelligence agencies are telling enterprises that traditional logging can't keep up with autonomo

AI adoption is accelerating, but are we ready for the policy gaps?
Jennifer Reeves American Arbitration Association VP of AI Governance highlights a critical truth: many orgs aren't failing on tech they're failing on execution.
The real test isn't just building AI; it's governing it.
What are the common missteps?
❌ Treating governance as an afterthought.
❌ Siloing legal from engineering.
❌ Static policies for dynamic models.
In 2026, speed without safety is just risk disguised as innovation.
Why does this matter now?
Because trust is the new currency.
Robust AI governance isn't a bottleneck