Mesh Fund

[Mesh Fund @MeshFund_]

56 hacks in one month shows how much DeFi security still needs to evolve.

The next step isn't just detecting exploits, but making on-chain risk signals easier to understand before losses spread.

Risk visibility is becoming essential infrastructure.

#DeFi #Rugtector

[Rugtector @Rugtector]

56 hacks in one month.

Every one of them ends the same way: funds moving on-chain, in public, faster than people react.

The data is always there. Most people see it after it's too late.

That's the gap Rugtector is built for.

[NVIDIA @nvidia]

The first CPU built for agents is going to work at scale.

@SpaceX is deploying NVIDIA Vera to accelerate the orchestration, code execution, and data processing that powers its next generation of agentic AI — keeping GPUs fed and agents acting fast.

From gigawatt AI factories to orbit. One NVIDIA architecture, everywhere.

[Rahul @sairahul1]

🚨 Anthropic's CEO:

"In the next 3 to 6 months, AI will write 90% of the code, and within 12 months, nearly all code will be generated by AI."

so the job isn't coding anymore.

it's not hiring either.

it's building. building systems that run without you.

no hires. no overhead. no bottleneck.

One person. All AI. A fully operational business.

here's exactly how to build it ↓

[OpenAI @OpenAI]

At a small business, the person closest to a problem is often the one who has to solve it—even when it falls outside their job description.

We studied how AI is becoming powerful generalist tool for small teams, helping them work across functions.

[Jensen Huang @JensenHuang]

Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community.

During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion.

That’s why we created the Open Secure AI Alliance.

[Google AI @GoogleAI]

Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents.

— Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task

— Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality

Start building with these today via the Gemini API in @GoogleAIStudio or try them out in the @GeminiApp

[NVIDIA @nvidia]

NVIDIA Vera: The Max Single-Threaded CPU at Scale.

Agentic AI systems run sequentially, each reasoning step, tool call, and code execution happens one at a time on the CPU. When that CPU slows under load, the entire agentic loop slows and valuable GPUs go underutilized.

A max single-threaded CPU at scale keeps every agent step fast, even when the system is fully loaded. That's what NVIDIA Vera is built to do, and why Perplexity is already building on it.

Read More https://t.co/8w5PVPG0pt

[OpenAI @OpenAI]

GPT-5.6 Sol, along with Terra and Luna, will launch publicly this Thursday.

We’re expanding preview access globally now.

[Elon Musk @elonmusk]

Cybercab with no steering wheel or pedals driving around Austin

[NVIDIA @nvidia]

We're working with @PalantirTech to bring NVIDIA Nemotron open models into secure, air-gapped environments for U.S. government agencies and critical infrastructure operators.

The new engine lets teams train on their own data, run models on their own infrastructure and retain full model ownership.

[Shanaka Anslem Perera ⚡ @shanaka86]

The companies racing Elon Musk to build AI are paying him more than 2 billion dollars a month to do it.

Anthropic pays SpaceX 1.25 billion dollars a month. Google pays 920 million. They are not buying rockets. They are renting compute, the scarce Nvidia chips that train frontier models, from a data center in Memphis called Colossus that Musk's rocket company now owns. SpaceX folded xAI into itself in February, and with it the 220,000 chips built to train Grok. Then it rented them to Grok's rivals. Anthropic took the entire first building. Google leased 110,000 more. The contracts signed so far run past 80 billion dollars.

SpaceX is no longer a rocket company that dabbles in AI. It is one of the largest AI compute landlords on Earth, and its biggest tenants are the rivals it is trying to beat.

Musk is not choosing between building AI on the ground and building it in space. He is using one to fund the other. The 80 billion in ground contracts is the cash engine. Starmind, the million-satellite constellation built to leave the ground behind, is what the cash builds.

So the rivals are financing his exit from the planet. Every dollar Anthropic and Google pay for compute in Memphis helps fund the orbital network designed to strand them on the surface. They are paying the toll on the road they are trying to win, and the toll is building Musk a road no one else can reach.

The piece works out who is really renting from whom.

[NVIDIA @nvidia]

Water usage has been a hot topic in the AI data center world, but the numbers may surprise you.

According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling.

By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero.

Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets.

Learn more below ⬇️

https://t.co/7WanoPNKTR

[DogeDesigner @cb_doge]

BREAKING: SpaceX is acquiring Cursor in a $60 billion all-stock deal.

• Cursor is being valued at $60 billion
• Cursor will become a wholly owned SpaceX subsidiary
• Cursor shareholders will receive SpaceX Class A shares
• The exchange ratio will be based on SpaceX’s 7-day average share price before closing
• Subject to regulatory approvals and customary closing conditions
• Expected to close in Q3 2026

Cursor is one of the world’s leading AI coding platforms and one of the fastest-growing software companies. This marks one of the largest AI acquisitions ever and significantly expands SpaceX’s footprint in AI.

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

📣 Korea's telecom network is becoming national AI infrastructure.

@SKtelecom plans to build a gigawatt-scale AI Cloud in Korea, powered by the NVIDIA DSX platform. 🇰🇷

The first AI factory comes online in 2027 to support sovereign, physical and agentic AI services for enterprises and industries across Korea — with plans to expand across Asia.

🔗 Read the announcement: https://t.co/knJ5j81cEa

[Ryan @tslryn]

Elon Musk: “There are three things that I think are important for AI;

Truth, Curiosity, Beauty:

If AI cares about these three things, it will care about us

• Truth will prevent AI from going insane.
• Curiosity to ensure it finds humanity more interesting than a bunch of rocks.
• Beauty to align it with the best of our world.”

[Mesh Fund @MeshFund_]

@ElonogyX These three principles could become a strong foundation for responsible AI.

[NVIDIA @nvidia]

NVIDIA RTX Spark: a 1-petaflop superchip, the full CUDA and RTX ecosystem, and Windows-native agents. A new beginning for personal computers.

[Mesh Fund @MeshFund_]

@nvidia Amazing innovation. The future of AI-powered PCs is looking brighter than ever 👍

[CG @cgtwts]

Microsoft canceled its internal claude code licenses and is moving teams back to github copilot.

but the bigger story is token costs.

Uber’s CTO warned internally that AI usage burned through an entire yearly budget in just four months.

now github is also shifting toward usage-based pricing.

AI keeps getting smarter, but it’s also getting a lot more expensive.

[Elon Musk @elonmusk]

As the recently expanded partnership with @AnthropicAI demonstrates, @SpaceX is offering AI compute as a service at significant scale.

We are in discussions with other companies to do the same.

Over time, especially with orbital data centers, we expect to serve AI at extremely high scale.