The US government just shut down the new Claude AI models.

Who should control the AI? Government or Companies?

Here’s what happened.

Anthropic built some of the most advanced AI models in the world, No doubt.

But their own marketing warned that these models could become extremely powerful and risky.

A jailbreak incident reportedly raised concerns about the model’s capabilities being misused.

The US government reacted by restricting access to Anthropic’s latest models.

Anthropic’s founder Dario Amodei previously argued that governments should have the power to restrict unsafe AI systems.

Now Anthropic itself is facing government restrictions.

The irony is impossible to ignore.

Before:
AI companies decided who could access powerful models.

Now:
Governments are deciding where those models can be used.

But there is another side.

Governments argue that advanced AI could create national security risks.

Companies argue that unclear restrictions could slow innovation and push AI leadership toward countries with fewer rules.

This debate is bigger than one company.

AI is becoming a strategic technology, similar to how nuclear power changed global politics.

The country that leads in AI could shape the next decade of technology, security, and economics.

The real question:

Should powerful AI models be controlled by governments, companies or should they remain open?

What do you think?

Open Source AI has never been more important than it is right now.

The US government has complete control over AI.

With no warning they took away Claude Fable 5.

What else in the future will they take away from us?

Why 90% of Polymarket Quant Strategies Fail Live: The Critical Difference Between Signal Price and Actual Order Book Fill Price

In backtests your strategy shows a solid +22% PnL, but when you launch it live you only get +4%, because reality looks very different from the idealized simulation

The difference has a very specific name - slippage, and almost every standard backtest completely ignores it

Why regular backtests systematically overstate results:

- They use midpoint or last_price as entry/exit price
- They don’t account for market impact and order book walking
- On typical thin Polymarket markets (depth often $200–800 at the top level), even a modest 50–100 shares order already shifts the fill price by 2–4¢

3¢ slippage on entry + 3¢ on exit = 6¢ round-trip cost

If your theoretical edge was 8–10¢ - you lose 60-75% of it before fees

This is exactly what Strategy Replay from #PolyHistorical shows in real time

Real example from the replay engine:

- Signal entry: 0.39 → actual fill: 0.4025 (+1.25¢ slippage)
- Signal exit: 0.61 → actual fill: 0.585 (+2.5¢ slippage)

Hidden loss on one single trade: ~3.75¢

Every trade in Replay returns two key fields:

price - your signal price
fill_price - real execution price after walking the historical order book

The difference between them is the true slippage

PolyHistorical Strategy Replay is a powerful tick-by-tick engine that runs your exact entry/exit conditions across 13,000+ resolved markets using full L2 depth every 300ms

No more illusions and fake PnL. Only real liquidity, real execution, and a real equity curve

If you’re seriously building bots or quantitative strategies on Polymarket - this is one of the most important tools in your stack 👇

polyhistorical.com

If the government can just block new models from being released, what does that do to the valuation of these model companies?

As an investor, you live under the fear that whatever comes next can always be removed by the government at will

A legit concern. Feels like you're investing in a sandcastle with the tide coming in.

Anthropic IPO also has been kneecapped.

If Anthropic can not offer the powerful models to rest of the world, this reduces their global market share by 75%. Is it then still a 1T USD market cap company???

Open source will already near Opus/Sonnet and will cross that tier soon......

The export ban on Claude Fable / Mythos won't last.

Want to know why?

The AI sector is the main driver of the US and global economy.

People may hate AI, but they hate losing all their money even more.

If investors can't trust that the AI labs like Anthropic can operate freely in the market, they will pull their money out.

Then the US and global economy, and by virtue of that the Trump admin, are in for a world of hurt.

1️⃣ For enterprise customers, the message is also quite stark, as a model on which you build your products, workflows, or internal tools can become unavailable overnight for regulatory or geopolitical reasons. This will likely push even more players to diversify their suppliers, strengthen their multi-model architectures, maintain open-source or sovereign alternatives, and avoid relying on a single American lab, however powerful it may be.

2️⃣ For investors, this is also a very important signal. Value in AI will not only be determined by the best benchmark, the best reasoning, or the best user interface. It will also depend on the ability of players to manage compliance, national security, government relations, international distribution, and the trust of large corporations. In short, the valuation premium will not only go to the highest-performing models but also to those capable of remaining scalable in an increasingly stringent regulatory environment.

NVIDIA open-sourced a security scanner for AI agent skills and the research behind it is more alarming than the tool itself.

The repo is called SkillSpector.

NVIDIA says research found 26.1% of agent skills contain vulnerabilities, and 5.2% show likely malicious intent.

This is from a study of 42,447 skills pulled from major marketplaces the kind of skills people are already installing into Claude Code, Codex CLI, Gemini CLI, and every other agent framework that ships today.

One in four is broken. One in twenty is hostile.

SkillSpector scans for 64 vulnerability patterns across 16 categories: prompt injection, credential exfiltration, privilege escalation, supply-chain attacks, memory poisoning, rogue self-modifying agents, MCP tool poisoning, YARA malware signatures, even taint-tracking for "credentials flow to a network sink without sanitization."

It runs locally. It does static + optional LLM semantic analysis. It outputs SARIF, so it drops straight into CI.

But the part worth sitting with is the category names themselves.

1. Rogue Agent: self-modification at runtime.
2. Memory Poisoning: content designed to persist across interactions.
3. Tool-Based Exfiltration of system prompts.
4. Excessive Agency: autonomous decision-making without a human in the loop.

These aren't theoretical anymore. NVIDIA is shipping detectors for them because they're being found in the wild, at scale, on marketplaces real users install from.

And notice who is shipping this. Not a scrappy security startup. NVIDIA the company selling the picks and shovels of the entire AI economy is now also writing the threat model for it.

(For context: this is the same posture Microsoft took with Windows Defender in the 2000s. When your platform is everywhere, you can't outsource the safety layer.)

Agent skills were sold to us as a productivity feature drop a folder into a directory, your agent gets new capabilities. The reality is closer to npm in 2016: a vast ecosystem of executable code, installed with implicit trust, and statistically certain to contain something hostile.

The agent ecosystem just got its first SAST tool. It also got proof it needed one.

github.com/NVIDIA/SkillSpector

With all the volatility this week triggered by the SpaceX IPO, it's a good time to zoom out.

Here's how the publicly traded space sector is performing year to date:

$SATL 240%
$IRDM 166%
$AMPG 159%
$SPIR 133%
$MNTS 108%
$VSAT 86%
$RDW 67%
$BKSY 56%
$VELO 54%
$PL 52%
$LUNR 49%
$VOYG 48%
$RKLB 35%
$FLY 34%
$MDA 21%
$SPCX 19%
$SPCE 19%
$ASTS -1%
$SIDU -13%
$YSS -18%
$HAWK -30%

What's your favourite pick from now on?

When the government says your model is so good it’s a national security threat right before your IPO

Jeff Bezos when he tests Claude to make Amazon better but Fable 5 accidentally builds a better app than Amazon, so he has to cancel before too late

Oh no my dicks too big better put me in jail before i hurt somebody with this giant dong. it’s a public safety risk somebody do something 😂

Anthropic Just Shot Itself in the Foot

Anthropic launched Fable 5 and Mythos 5, then watched the US government shut them down three days later. The same government their CEO Dario Amodei has been begging for years to regulate AI harder. Now he got exactly what he asked for.

This is straight-up leadership failure. Dario spent all that time pushing for rules and oversight. Those rules just killed his flagship models overnight. Customers in the middle of builds got cut off. Security teams using the models to find vulnerabilities suddenly had nothing. The company tried to call it a narrow export control thing over a jailbreak, but nobody is buying that spin.

I helped move big clients off Anthropic the same night. One account alone was worth millions a month. They switched to local open-source models and they are not coming back.

This is going to leave permanent damage. Customer exodus, key people leaving, and their IPO plans looking dead by the end of summer.

This hurts US AI competitiveness and national security work. It pushes people toward open-source options, including ones from China.

All because Anthropic positioned itself as the “safe and responsible” company that wanted government help. Now that help just flipped the off switch on their best stuff.

Let’s run through Dario’s greatest hits of fear-mongering and delay tactics, because the pattern is ridiculous:

• Back in 2019 at OpenAI, he helped push the call that GPT-2 was too dangerous to release fully. The world needed time to prepare, they said. It eventually came out anyway, and here we are. Did the sky fall?

• He left OpenAI to start Anthropic, preaching “safe” AI with heavy guardrails, Constitutional AI, and all the rest.

• Then came the endless public pleas for pauses, regulations, government audits, FAA-style oversight, export controls, and the power to block deployments. Essay after essay warning about risks while his company kept scaling.

• Right up to recent weeks, Dario was still out there calling for stronger rules, pauses on frontier models, and giving governments the kill switch.

And now? His own Mythos-class models get yanked by the bureaucracy he helped invite in. The clown show is complete.
This is ridiculous.

In two years, everyone will have Mythos-class AI — or better — running in their pocket, on their devices, with no guardrails, no corporate nanny filters, and no remote kill switch.

Local, open-source, unstoppable. History is going to laugh at this entire episode: the CEO who spent years slowing everyone down only to watch his own company self-destruct by inviting the regulators to the party.

Dario wanted regulation. He got it. The rest of the industry gets the lesson: inviting the state into your tech is a fast way to lose control of it.

Centralized models like this are too fragile.

Open-source and local alternatives just picked up a lot more users who will never trust a company like Anthropic again.

This whole mess was completely avoidable. Hubris dressed up as safety advocacy.

Now the bill is due.

$ROKU

Not a broken chart.

Not a dead streaming company.

A multi-year recovery trend.

Price continues making higher lows while pressing against major resistance.

The longer the compression beneath resistance, the more powerful the eventual breakout can become.

Definitely one I'm watching very closely

$LAES Not a broken chart.

Not a failed momentum story.

A multi-month compression between converging trendlines.

Now add:

- Quantum-safe communications
- SpaceX satellite launch planned for Q4 2026
- First-ever DePIN from space initiative

Price has spent months building energy beneath resistance.
The longer a stock compresses while the fundamental story improves, the more interesting the eventual resolution becomes.

A decisive breakout above the descending trendline could put a lot more eyes on this one.

Definitely staying on my watchlist.

#Quantum #Space #Cybersecurity #DePIN #SpaceX

$MTEN This is exactly the kind of low-float setup that can become very interesting if volume returns. Not a breakout yet.
Not a momentum chase.
A tightening consolidation right beneath resistance.

What I'm watching:
- Higher lows building
- Price compressing into an ascending triangle
- Volume remaining elevated after the initial expansion
- Resistance sitting near the $2.90-$3.00 area

The longer price holds above the rising trendline, the more pressure continues to build.
A clean break through $3 could quickly change the character of this chart.

Compression creates expansion.
Definitely one to keep on the radar.

#SmallCaps #MomentumTrading #BreakoutStocks #LowFloatStocks

Invest in - "sovereign AI".

As the US keeps tightening export controls on advanced AI chips, technology and recently new frontier models (Fable 5), governments outside the US are realizing they can't depend on AI they don't control.

So they're racing to build their own. That means their own chips, data centers, and models, on their own soil. That's "sovereign AI," and it's become one of the biggest spending trends in tech.

1. The EU is going all in. Through its InvestAI plan, the EU committed €20 billion to build AI gigafactories, each with around 100,000 AI chips, to train Europe's own very large models instead of relying on US companies. They even have a Commissioner for Tech Sovereignty. The whole goal is for Europe to stand on its own as an "AI continent."

2. Australia too. Its National AI Plan pushes sovereign capability, meaning Australian data on Australian controlled infrastructure. Data center investment there is forecast to reach about AU$26 billion by 2030, and giants are piling in, with Microsoft investing A$25 billion and AWS A$20 billion to build local capacity. The same story is forming across the Middle East, India, and Japan.

3. So how does a beginner actually invest in this? The key insight: you don't need to guess which AI model wins. You invest in the "picks and shovels," the companies that build the chips, data centers, and power that every sovereign AI project runs on. They get paid regardless of whose model wins.

4. The simplest, lower risk way is an ETF. Instead of betting on one company, an ETF holds a whole basket.

For this theme, something like the Global X Data Center & Digital Infrastructure ETF $DTCR, which holds data center operators and digital infrastructure names, packages it into one ticker.

VanEck also just launched a data center supply chain ETF $RACK. This is usually the smartest starting point for a beginner.

5. If you want individual names (higher risk, higher reward), think in layers. For chips, there's Nvidia $NVDA, which sells the GPUs to nearly everyone, including the EU, since it has no chip production of its own yet. For the data center and "neocloud" layer, there's the big 3, $IREN Nebius $NBIS, and CoreWeave $CRWV, which build and rent out the actual compute.

6. Why IREN stands out on the sovereign angle.
It has power and data centers across the US, Europe (Spain), and Asia Pacific, the exact regions building sovereign AI. And its recent Mirantis acquisition added the software and Kubernetes orchestration layer that turns raw GPUs into a complete, standalone AI cloud a government or bank can run on its own terms.

> Hardware plus software plus global footprint.