Cottman Avenue in northern Philadelphia is a busy but slightly down-on-its-luck urban thoroughfare that has had a strange couple of years.

You might remember the truly bizarre 2020 press conference held—for no discernible reason—at Four Seasons Total Landscaping, a half block off Cottman Avenue, where a not-yet- disbarred Rudy Giuliani led an farcical ensemble of characters in an event so weird it has been immortalized in its own, quite lengthy, Wikipedia article .

Then in 2023, a truck carrying gasoline caught fire just a block away, right where Cottman passes under I-95. The resulting fire damaged I-95 in both directions , bringing down several lanes and closing I-95 completely for some time. (This also generated a Wikipedia article.)

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On Wednesday, a ranking member of the Senate Environment and Public Works Committee accused the Environmental Protection Agency (EPA) of "misusing law enforcement" to claw back climate funds and "humor" Donald Trump’s "vindictive political whims."

In a letter to Attorney General Pam Bondi and FBI Director Kash Patel, Senator Sheldon Whitehouse (D-R.I.) requested information about a supposed criminal investigation into the EPA's $27 billion Greenhouse Gas Reduction Fund (GGRF).

Whitehouse alleged that there was no basis to freeze the funding. He claimed that Bondi and Patel "reverted to a pretextual criminal investigation to provide an alternative excuse to interfere" after "EPA Administrator Lee Zeldin announced via social media that he had 'found' $20 billion in EPA funds at Citibank and falsely suggested that the use of a financial agent agreement—a commonly used financial tool that presidential administrations have used for centuries—was improper."

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Right now, quantum computers are small and error-prone compared to where they'll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can perform in ways that are impossible to match with classical computation (one of the more recent examples coming just last year ). In most cases to date, however, those claims were quickly followed by some tuning and optimization of classical algorithms that boosted their performance, making them competitive once again.

Today, we have a new entry into the claims department—or rather a new claim by an old entry. D-Wave is a company that makes quantum annealers, specialized hardware that is most effective when applied to a class of optimization problems. The new work shows that the hardware can track the behavior of a quantum system called an Ising model far more efficiently than any of the current state-of-the-art classical algorithms.

Knowing what will likely come next, however, the team behind the work writes, "We hope and expect that our results will inspire novel numerical techniques for quantum simulation."

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On Wednesday, Google DeepMind announced two new AI models designed to control robots: Gemini Robotics and Gemini Robotics-ER. The company claims these models will help robots of many shapes and sizes understand and interact with the physical world more effectively and delicately than previous systems, paving the way for applications such as humanoid robot assistants.

It's worth noting that even though hardware for robot platforms appears to be advancing at a steady pace (well, maybe not always ), creating a capable AI model that can pilot these robots autonomously through novel scenarios with safety and precision has proven elusive. What the industry calls "embodied AI" is a moonshot goal of Nvidia, for example, and it remains a holy grail that could potentially turn robotics into general-use laborers in the physical world.

Along those lines, Google's new models build upon its Gemini 2.0 large language model foundation, adding capabilities specifically for robotic applications. Gemini Robotics includes what Google calls "vision-language-action" (VLA) abilities, allowing it to process visual information, understand language commands, and generate physical movements. By contrast, Gemini Robotics-ER focuses on "embodied reasoning" with enhanced spatial understanding, letting roboticists connect it to their existing robot control systems.

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The Federal Trade Commission is moving to push back a trial set to determine if Amazon tricked customers into signing up for Prime subscriptions.

At a Zoom status hearing on Wednesday, the FTC officially asked US District Judge John Chun to delay the trial. According to the FTC's attorney, Jonathan Cohen, the agency needs two months to prepare beyond the September 22 start date, blaming recent "staffing and budgetary shortfalls" stemming from the Trump administration’s Department of Government Efficiency (DOGE), CNBC reported.

"We have lost employees in the agency, in our division, and on our case team," Cohen said, explaining that "there is an extremely severe resource shortfall in terms of money and personnel," Bloomberg reported . Cuts are apparently so bad, Cohen told Chun that the FTC is stuck with a $1 cap on any government credit card charges and "may not be able to purchase the transcript from Wednesday’s hearing," Bloomberg reported.

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Hand clapping is ubiquitous behavior for humans across time and cultures, serving many different purposes: to signify approval with applause, for instance, or to keep time to music. Acousticians often use a hand clap as a cheap substitute for pricey equipment to make acoustic measurements in architecture. While the basic physical mechanism is simple, the underlying physical mechanisms are less well-understood.

A new paper published in the journal Physical Review Research provides experimental support for the hypothesis that hand clapping essentially acts like a Helmholtz resonator —akin to the hum generated by blowing across the top of a bottle, or the hiss one hears when holding a conch shell to one's ear.

In 2020 , engineers Nikolaos Papadakis and Georgios Stavroulakis, both at the Technical University of Crete, recruited 24 students to clap their hands once in different venues, varying their hand configurations in 11 different ways—changing the angle of the hands with respect to one another, for instance, or changing how many fingers of one hand overlapped with the fingers or palms of the other.

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Most new AI models go big—more parameters, more tokens, more everything. Google's newest AI model has some big numbers, but it's also tuned for efficiency. Google says the Gemma 3 open source model is the best in the world for running on a single GPU or AI accelerator. The latest Gemma model is aimed primarily at developers who need to create AI to run in various environments, be it a data center or a smartphone. And you can tinker with Gemma 3 right now.

Google claims Gemma 3 will be able to tackle more challenging tasks compared to the older open source Google models. The context window, a measure of how much data you can input, has been expanded to 128,000 from 8,192 tokens in previous Gemma models . Gemma 3, which is based on the proprietary Gemini 2.0 foundation, is also a multimodal model capable of processing text, high-resolution images, and even video. Google also has a new solution for image safety called ShieldGemma 2, which can be integrated with Gemma to help block unwanted images in three content categories: dangerous, sexual, or violent.

Most of the popular AI models you've heard of run on collections of servers in a data center, filled to the brim with AI computing power. Many of them are far too large to run on the kind of hardware you have at home or in the office. The release of the first Gemma models last year gave developers and enthusiasts another low-hardware option to compete with the likes of Meta Llama3. There has been a drive for efficiency in AI lately, with models like DeepSeek R1 gaining traction on the basis of lower computing costs.

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Authors think that Meta's admitted torrenting of a pirated books data set used to train its AI models is evidence enough to win their copyright fight—which previously hinged on a court ruling that AI training on copyrighted works isn't fair use.

Moving for summary judgment on a direct copyright infringement claim on Monday in a US district court in California, the authors alleged that "whatever the merits of generative artificial intelligence, or GenAI, stealing copyrighted works off the Internet for one’s own benefit has always been unlawful."

In their filing, the authors accused Meta of brazenly deciding to torrent terabytes of pirated book data after attempts to download pirated books one by one "posed an immense strain on Meta's networks and proceeded very slowly."

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Lately, SpaceX founder Elon Musk has taken an aggressive posture toward Europe. He has called for the United States to exit NATO , a strategic alliance that has been the bedrock of trans-Atlantic cooperation since the end of World War II. Musk has also championed right-wing populism that seeks to topple existing governments on the continent.

And then there's Musk's increasingly antagonistic attitude toward Ukraine, a country viewed by many Europeans as a bulwark against further Russian aggression. This threatens the availability of a vital link in Ukraine's military, Starlink.

Musk's world-class satellite technology has provided life-saving connectivity to citizens and soldiers in Ukraine. It has increased that country's offensive capabilities. And yet Musk could shut off his Starlink service anywhere in the world with an email.

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