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Google rolls out text-to-image model Imagen 4 for free

Google Imagen 4, which is the company’s state-of-the-art text-to-image model, is rolling out for free, but only on AI Studio.

In a blog post, Google announced the rollout of the new Imagen 4 model, but reminded users that it’s free for a “limited time” only.

Unlike the old text-to-image model, Imagen 4 offers significant improvements and takes the text-to-image generation quality to the next level.

Confirmed — Texas imposes new rules on autonomous vehicles and will require official permits before they can be driven on its roads

A blue-and-white Waymo van rolls up to a stoplight near Austin’s South Congress Avenue, sensors spinning in the sun. In three months, that van –and every other driverless car in Texas– will need a brand-new permission slip taped to its dash. Governor Greg Abbott has signed SB 2807, a bill that for the first time gives the Texas Department of Motor Vehicles gate-keeper power over autonomous vehicles.

Starting September 1, 2025, any company that wants to run a truly driver-free car—robo-taxi, delivery pod, or freight hauler—must first snag a state-issued permit. To qualify, operators have to file a safety and compliance plan that spells out:

Metal-organic frameworks with metallic conductivity pave new paths for electronics and energy storage

Metal-organic frameworks (MOFs) are characterized by high porosity and structural versatility. They have enormous potential, for example, for applications in electronics. However, their low electrical conductivity has so far greatly restricted their adoption.

Using AI and robot-assisted synthesis in a self-driving laboratory, researchers from Karlsruhe Institute of Technology (KIT), together with colleagues in Germany and Brazil, have now succeeded in producing an MOF thin film that conducts electricity like metals. This opens up new possibilities in electronics and —from sensors and quantum materials to functional materials.

The team reports on this work in the Materials Horizons journal.

AI tool identifies five distinct cancer cell groups within individual tumors

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterize the diversity of individual cells within tumors, opening doors for more targeted therapies for patients.

Findings on the development and use of the AI tool, called AAnet, have been published in Cancer Discovery.

Tumors aren’t made up of just one cell type—they’re a mix of different cells that grow and respond to treatment in different ways. This diversity, or heterogeneity, makes cancer harder to treat and can in turn lead to worse outcomes, especially in .

Can we fix AI’s evaluation crisis?

This is something that I often wonder about, because a model’s hardcore reasoning ability doesn’t necessarily translate into a fun, informative, and creative experience. Most queries from average users are probably not going to be rocket science. There isn’t much research yet on how to effectively evaluate a model’s creativity, but I’d love to know which model would be the best for creative writing or art projects.

Human preference testing has also emerged as an alternative to benchmarks. One increasingly popular platform is LMarena, which lets users submit questions and compare responses from different models side by side—and then pick which one they like best. Still, this method has its flaws. Users sometimes reward the answer that sounds more flattering or agreeable, even if it’s wrong. That can incentivize “sweet-talking” models and skew results in favor of pandering.

AI researchers are beginning to realize—and admit—that the status quo of AI testing cannot continue. At the recent CVPR conference, NYU professor Saining Xie drew on historian James Carse’s Finite and Infinite Games to critique the hypercompetitive culture of AI research. An infinite game, he noted, is open-ended—the goal is to keep playing. But in AI, a dominant player often drops a big result, triggering a wave of follow-up papers chasing the same narrow topic. This race-to-publish culture puts enormous pressure on researchers and rewards speed over depth, short-term wins over long-term insight. “If academia chooses to play a finite game,” he warned, “it will lose everything.”

Google rolls out new Gemini model that can run on robots locally

Google DeepMind on Tuesday released a new language model called Gemini Robotics On-Device that can run tasks locally on robots without requiring an internet connection.

Building on the company’s previous Gemini Robotics model that was released in March, Gemini Robotics On-Device can control a robot’s movements. Developers can control and fine-tune the model to suit various needs using natural language prompts.

In benchmarks, Google claims the model performs at a level close to the cloud-based Gemini Robotics model. The company says it outperforms other on-device models in general benchmarks, though it didn’t name those models.

Human Cyborgs Are No Longer Science Fiction! (Insane Breakthroughs)

Are human cyborgs the future? You won’t believe how close we are to merging humans with machines! This video uncovers groundbreaking advancements in cyborg technology, from bionic limbs and brain-computer interfaces to biological robots like anthrobots and exoskeletons. Discover how these innovations are reshaping healthcare, military, and even space exploration.

Learn about real-world examples, like Neil Harbisson, the colorblind cyborg artist, and the latest developments in brain-on-a-chip technology, combining human cells with artificial intelligence. Explore how cyborg soldiers could revolutionize the battlefield and how genetic engineering might complement robotic enhancements.

The future of human augmentation is here. Could we be on the verge of transforming humanity itself? Dive in to find out how science fiction is quickly becoming reality.

How do human cyborgs work? What are the latest AI breakthroughs in cyborg technology? How are cyborgs being used today? Could humans evolve into hybrid beings? This video answers all your questions. Don’t miss it!

#ai.
#cyborg.
#ainews.

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