🚨do you understand what just happened..

you're going to start noticing it soon.. every ad on your feed.. made by an agent.. no human wrote the hook.. no creative director approved it.. no media buyer touched the budget..it just ran..

and the crazy part is the small brand running it is competing with companies spending millions.. same creative quality.. same targeting.. same optimization..

that gap that took years and hundreds of thousands of dollars to build..it's just gone..

Scientists just demonstrated light driven computing at 10,000 GHz over 100× faster than today’s processors.

Ultrafast computing breakthrough

In a new study, researchers showed that ultrafast laser pulses can perform logic operations in a 2D semiconductor called tungsten disulfide.

Instead of traditional transistors switching with electrical current, the system uses light to control electron valley states, a technique known as valleytronics.

By manipulating these states with femtosecond laser pulses (10⁻¹⁵ seconds), the team achieved logical switching frequencies above 10 terahertz.

For comparison, today’s processors operate at only 3–5 GHz 👀!

This experiment shows that future computers could potentially operate hundreds to thousands of times faster by combining photonics and quantum materials.

while still a laboratory demonstration, the research points toward a future of light driven computing far beyond silicon’s limits.

This is insane.

We always thought breaking modern encryption with quantum computers would need millions of qubits. But it might take just ~10,000.

Researchers just showed that Shor’s algorithm can run on far fewer qubits than expected by using smarter design, not just bigger machines.

They used neutral-atom quantum systems, better error correction (~30% vs ~4%), and more efficient circuits to cut down the requirements massively.

With this setup:

> 26,000 qubits could break elliptic curve encryption in days.
> 102,000 qubits could break RSA-2048 in a few months

It’s not about building huge quantum computers anymore, it’s about building them smarter.

And that makes this feel a lot closer than it should.

Acceleration is everywhere

After getting setup with an OpenClaw instance, everyone is wondering “what’s next”? What should I build?

And now we have a hassle-free way to use OpenClaw

KiloClaw is managed OpenClaw. You can provision an OpenClaw agent from the Kilo Dashboard, and use the same 500+ models and credits you use elsewhere in Kilo (for the coding agent, code review, etc).

Most importantly, OpenClaw’s main concern is security, not capability. Once an agent gets files, API keys, shell access, and chat accounts, the real risk is what happens when it misbehaves.

KiloClaw limits that blast radius by giving each user a dedicated Firecracker VM, isolated network, encrypted storage, server-side identity routing, and secrets decrypted only inside that VM. An independent 10-day review found no cross-tenant access path.

A fully managed way to run OpenClaw without dealing with servers, configuration files.

- Access 500+ AI models with Kilo Gateway. No vendor lock-in.
- Change models without redoing your workflows
- Check performance and pricing across providers
- Create agents that stay dependable as the model market shifts
- 1 Kilo account. Your current credits still apply.
- 0 markup on AI tokens. Same clear pricing.

The problem KiloClaw is solving is not what OpenClaw can do. OpenClaw already supports 50+ chat platforms, browser control, file management, scheduled automations, and memory across sessions.

The friction is the setup work around it, like installing dependencies, managing API keys, keeping the process alive, and redoing that work after updates.

KiloClaw packages that into a managed instance so the user gets the agent without the ops burden.

kilo.ai

github.com/Kilo-Org/kilocode

Massive day for Space.

DATA CENTER STOCKS HUGE BOUNCE

🟢 $NBIS - $103.76 (12.46%)
🟢 $IREN - $34.28 (8.41%)
🟢 $CRWV - $77.47 (12.03%)
🟢 $CIFR - $12.86 (7.07%)
🟢 $WULF - $14.42 (5.29%)
🟢 $ORCL - $147.11 (5.99%)
🟢 $APLD - $23.74 (15.55%)
🟢 $BITF - $1.95 (5.98%)
🟢 $WYFI - $11.91 (6.34%)
🟢 $HUT - $46.91 (9.81%)

🚨 NEWS: OpenAI just said it has closed a $122B funding round at an $852B post-money valuation.

with Amazon committing $50B and Nvidia plus SoftBank each adding $30B

The business claim behind that price is scale, with OpenAI saying it now makes $2B per month, has 900M weekly ChatGPT users, and more than 50M subscribers.

The most unusual term is Amazon’s reported $35B contingent piece, because that money depends on OpenAI either going public or reaching AGI, which ties a large share of the round to a future corporate event or a technical milestone rather than a plain cash close.

Another fresh point is structure, because OpenAI also raised $3B+ from individual investors through bank channels and is being added to some ARK ETFs, which broadens ownership far beyond the usual private-company investor base.

The financing also appears linked to commercial distribution, since Amazon’s investment comes with a cloud agreement to host and distribute OpenAI models for enterprise customers plus a revenue-sharing arrangement.

OpenAI says enterprise is already 40%+ of revenue, the API handles 15B tokens per minute, and Codex has passed 2M weekly users, which suggests the company is selling AI both as an app and as plumbing.

Since our post earlier today, the Washington Post published satellite imagery of the damage.

Khojir. Parchin. Hakimiyeh. Shahroud. Four key missile manufacturing complexes. Nearly every building along Shahroud's solid-motor production line > gone. Parchin's warhead facility > gone.

29 launch sites across the country confirmed hit.

Rubio read four objectives on live television. The satellites just showed three of them are done and the fourth is close.

He undersold it.

🤯 Jack Dorsey's $XYZ Block just laid out a plan to replace much of corporate hierarchy with AI coordination.

Middle management exists to coordinate work, but AI can now handle that instantly. There is no longer a need to move information up and down layers. Block is replacing hierarchy with AI systems, so decisions come from real-time data instead of meetings.

The old org chart exists because people are slow, narrow-band routers of context, so companies add managers to pass information up and down.

Block’s claim is that a company world model can track work continuously, while a customer world model built from transaction data can track what people and merchants actually need.

A sufficiently good company model can take over much of that routing function. In a remote-first firm where work already leaves digital traces, AI can, at least in principle, maintain a live picture of projects, bottlenecks, resources, and outcomes.

That lets an intelligence layer assemble financial capabilities like lending, payments, cards, and payroll into custom solutions at the moment demand appears, instead of waiting for a product roadmap.

The human job shifts from relaying status to building capabilities, owning cross-team problems as DRIs, and acting as player-coaches who improve craft and judgment.

The real bottleneck in big companies is not effort but coordination, and Block is aiming at coordination itself.

Money is behavior with fewer illusions attached. If you can see how customers and merchants actually spend, borrow, save, and repay, you are no longer guessing from survey answers or product roadmaps.

From that view, products become less central than capabilities. Payments, lending, payroll, or card issuance are modular parts, and intelligence is the layer that composes them when the model detects a real customer need.

$XYZ/USD H2 #Indicator #Signal #Trading #GlobalOneAI

Financial advisors realizing you can replace their entire career with 10 prompts

PERPLEXITY JUST TURNED INTO A FREE BLOOMBERG TERMINAL

You are wasting hours jumping between news, reports, and dashboards when Perplexity can pull market data, analyze companies, and surface insights in seconds. Now with these 10 prompts that feel like you’re sitting on a Wall Street trading desk.

Here’s how:

1/ The Pre-Market Intelligence Brief

This prompt does that in 3 minutes:

"Build me a pre-market intelligence brief for today. Cover: overnight futures movement and what's driving it, any significant earnings releases or guidance updates, macro data dropping today and consensus expectations, geopolitical developments with direct market implications, and the 3 sectors most likely to see unusual movement in today's session. Flag anything that contradicts the current consensus narrative."

The edge isn't information. Everyone has information.

The edge is having it synthesized before the open.

2/ The Earnings Surprise Hunter

Prompt:

"Analyze [company]'s most recent earnings report. Go beyond the headline beat or miss: what did management say about forward guidance versus what analysts were modeling? Where did revenue mix surprise relative to expectations? What changed in the language of the earnings call versus last quarter? What did the market's initial reaction miss that shows up in the details?"

The stock moves on what the market didn't see coming.

This prompt finds what the market didn't see.

3/ The Sector Rotation Tracker

Smart money doesn't stay in one place.

It rotates out of what's overvalued, into what's being ignored usually 6 to 9 months before the mainstream narrative catches up.

"Map the current sector rotation in US equities. Which sectors are seeing consistent institutional inflows over the last 30 days? Which are seeing outflows despite positive news flow which usually signals distribution? Where is the gap between sector fundamentals and current valuations widest? What rotation trade is setting up that most retail investors haven't positioned for yet?"

By the time a rotation shows up on CNBC, the money has already moved.

This prompt finds it earlier.

4/ The Company Autopsy

Before you put money into any company you need to understand it the way an analyst who's been covering it for 3 years does.

Not the investor relations version. The real version.

"Run a full company autopsy on [company]. Cover: the actual business model and where revenue really comes from versus where management says it comes from, the 3 biggest risks that don't appear prominently in the bull case, the unit economics at the core of the business and whether they're improving or deteriorating, how management has allocated capital over the last 5 years and what that reveals about their actual priorities, and the bear thesis a short seller would build today."

Ten minutes with this prompt versus 3 hours of research.

Same output quality. Different time cost.

5/ The Macro Regime Identifier

Every investment strategy works in some macro regimes and fails in others.

Most retail investors run the same strategy regardless of the environment.

That's why they get destroyed in regime changes.

"Identify the current macro regime. Where are we in the rate cycle, credit cycle, and economic cycle simultaneously? What asset classes and sectors have historically outperformed in this specific combination of conditions? What is the market currently pricing in for the next 12 months versus what macro data is actually showing? Where is the biggest disconnect between market pricing and macro reality right now?"

The regime determines the playbook.

This prompt identifies the regime.

6/ The Options Market Intelligence Reader

The options market is where sophisticated money places directional bets with precise risk parameters.

It's also the most ignored data source by retail investors.

"Read the current options market for [stock / index / sector]. What does the put/call ratio signal about institutional sentiment right now? Where are the largest open interest clusters and what do those strike prices suggest about where big money expects the price to be pinned? Is implied volatility elevated or suppressed relative to historical volatility and what does that divergence typically precede? What unusual options activity has printed in the last 5 trading days?"

The options market doesn't lie.

It costs real money to place those bets.

This prompt reads what it's saying.

7/ The Central Bank Decoder

Every word in a Fed statement is chosen with surgical precision.

Most people read the headline rate decision and move on.

Professional fixed income traders read every sentence for what shifted versus last time.

"Compare the most recent Fed statement and press conference to the previous one. What specific language changed and what does each change signal about the committee's current thinking? Where did Powell's tone shift from the prepared statement to the Q&A those divergences are almost always more informative than the official text. What is the market currently pricing for the next 3 meetings and where does that pricing look wrong based on the actual language used?"

The Fed tells you exactly what it's going to do.

Most people just don't know how to read it.

8/ The Competitive Disruption Scanner

The most dangerous thing that can happen to a long position is a competitor making a move that changes the economics of the entire industry.

It almost never shows up in the stock price immediately.

"Scan for competitive disruption threats to [company / sector]. What moves have competitors made in the last 90 days that received less coverage than they deserved? Where is a new entrant building a position that the incumbent isn't taking seriously yet? What technology shift is beginning to affect unit economics in this industry that isn't reflected in current analyst models? What did [company]'s competitors say on their most recent earnings calls that [company]'s management didn't address?"

The disruption is always visible in hindsight.

This prompt makes it visible earlier.