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Hotter Than a Hot Tub: The 45°C Breakthrough to Cool AI’s Biggest Machines

In favorable climates, NVIDIA’s 45-degree liquid-cooling architecture can enable chiller-less operation with dry coolers, reducing facility cooling water consumption from roughly 2.6 million gallons per megawatt per year for conventional cooling-tower-based systems to near zero — up to a 100% reduction in water use.

The reason: traditional air-cooled data centers depend on large volumes of cooled air to remove heat from IT equipment, often requiring energy-intensive cooling infrastructure during hot weather. With NVIDIA’s 45-degree liquid cooling, heat is captured directly at the chip and transported through liquid loops operating at much higher temperatures, allowing outdoor dry coolers to reject heat efficiently for much of the year while significantly reducing mechanical cooling requirements and facility water consumption.

The data center ambient temperature is flexible — warm summer air is fine — because nothing in the server depends on cool air. The liquid does all the work — and the same liquid can be recirculated in a closed loop so no new water is consumed to cool the chips.


NVIDIA’s latest AI servers can run on coolant warmer than a hot tub — and that counterintuitive choice is one of the biggest efficiency leaps in data center history.

Mouse moves unlock realistic AI video control with no extra computing cost

A technology developed at the Technion enables ordinary users to create realistic video clips intuitively, without the need for massive computing resources. Called Time-to-Move (TTM), it offers unprecedented control over the movement of objects and characters in AI-generated videos using nothing more than mouse movements, eliminating the need for complex and expensive infrastructure or training on millions of videos.

Dr. Or Litany of the Henry and Marilyn Taub Faculty of Computer Science, who led the research together with faculty colleague Prof. Ron Kimmel and students Asaf Singer, Noam Rotstein and Amir Mann, presented the work at the International Conference on Learning Representations (ICLR) 2026 conference, held in Brazil last month. ICLR is one of the world’s leading conferences in deep learning and AI.

“Our development,” Litany explains, “solves one of the main limitations of AI-based video generation: the difficulty of precisely controlling the movement of objects and characters over time. TTM does not require retraining and can be integrated as a plug-in into existing video models. Unlike previous approaches, which require model-specific adaptation and substantial computing resources, this technology operates with no additional computational cost. In doing so, it helps democratize AI video creation by expanding access beyond giant companies such as Google and Meta.”

Feeding data to AI to speed up drug discovery

Developing new medicines can require thousands of chemistry experiments to identify the right recipe for a safe, effective and ideally affordable drug.

The process is slow and labor-intensive, and many of the reactions depend on hard-to-source metals that act as essential catalysts.

While artificial intelligence is helping speed up the process of drug discovery, it can only learn from the data available, and when it comes to chemical reactions, the large, high-quality data sets needed to train powerful AI tools aren’t there.

OpenAI Expands Daybreak With GPT-5.5-Cyber to Help Defenders Patch Security Flaws

OpenAI on Monday said it’s releasing an improved version of its GPT‑5.5‑Cyber model to trusted defenders as part of the Daybreak initiative the artificial intelligence (AI) company announced last month.

Calling GPT‑5.5‑Cyber its “strongest model yet for finding and helping patch software vulnerabilities,” OpenAI said the model can “sustain deeper analysis across large codebases” to identify security issues, validate them in a controlled environment, and develop and test patches.

In tandem, the tech upstart is releasing an update to the Codex Security plugin⁠ to speed up the process of discovering and patching vulnerabilities in existing systems, alongside preventing new vulnerabilities from entering production codebases.

Microsoft fixes AutoGen Studio flaw that enabled code execution

A vulnerability chain dubbed AutoJack in Microsoft’s AutoGen Studio interface for prototyping AI agents could let attackers manipulate an agent into executing arbitrary commands on its host system simply by visiting a malicious webpage.

AutoGen Studio is the graphical component for AutoGen, Microsoft’s open-source framework for building multi-agent AI systems. The framework allows developers to create AI agents that can collaborate with one another, use tools, browse the web, execute code, interact with APIs, and connect to external systems.

The project is very popular, with more than 59,000 stars and nearly 9,000 forks on GitHub. Microsoft notes that AutoJack’s impact was limited because the issue was addressed during development.

The Cost of Intelligence

It is awe-inspiring to reflect on the velocity of this generational shift. In an incredibly compressed timeline, AI has transitioned from a boardroom novelty into the underlying infrastructure of global enterprise labor.

We are living through a historic economic anomaly: even as raw capability scales exponentially, the unit cost of intelligence continues to plummet toward zero. The future of corporate margin expansion will not belong to those who consume the most compute, but to the strategic architects who best optimize this collapsing cost.

Yet, beneath this cognitive abundance lies a stark paradox. While token unit prices have plunged 99.7% over the last 24 months, actual enterprise AI invoices are soaring—with average budgets expanding from $1.2M to over $7M. This is the structural reality of moving from simple, episodic chatbots to multi-step, autonomous agentic workflows that incur heavy context taxes and recursive reasoning loops.

To help technology and financial leaders navigate this landscape, we just released our latest research and report: The Macroeconomics of the Hyperscale AI Market and the New Enterprise Frontier.

Stop projecting AI margins using outdated software frameworks. Read the full report at the link below to master the new rules of token economics. Let us know in the comments: Are your teams experiencing bill shock, or have you already cracked the code on dynamic model routing?


The macroeconomics of the hyperscale AI market and the new enterprise frontier.

NASA to Cover US Spacewalk 95, Host Preview News Conference

NASA astronauts will venture outside the International Space Station on Tuesday, June 30, to replace a wrist joint on the orbital complex’s Canadarm2 robotic arm. The spacewalk is scheduled to begin at approximately 8:35 a.m. EDT.

Experts from NASA and CSA (Canadian Space Agency) will preview the upcoming spacewalk during a news conference at 2 p.m. on Thursday, June 25, on the agency’s YouTube channel. The briefing will take place at NASA’s Johnson Space Center in Houston. Learn how to watch NASA content through a variety of platforms, including social media.

Participants include:

SpaceX Falcon 9 Launches Starfall Demo

Starfall is SpaceX’s mass-produced reentry vehicle designed to autonomously transport valuable customer experiments and other payloads safely back from space to Earth, including for in-orbit manufacturing. Starfall is a cylindrical-shaped capsule approximately 0.75 meters tall with a diameter of 3.1 meters, weighing approximately 2,100 kilograms, and capable of carrying 1,000 kilograms of payload. It is designed to be carried on Starship flights.

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NASASpaceflight is not affiliated with or does not represent the National Aeronautics and Space Administration (NASA). NASA initials used with NASA’s permission.

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