Shield AI: Kampfdrohne X-Bat startet senkrecht

Shield AI stellt mit der X-Bat eine KI-gesteuerte Kampfdrohne vor, die ohne Landebahn startet und über 3.700 Kilometer Reichweite verfügt. (Militär, Politik)

Shield AI stellt mit der X-Bat eine KI-gesteuerte Kampfdrohne vor, die ohne Landebahn startet und über 3.700 Kilometer Reichweite verfügt. (Militär, Politik)

Microsoft: Auf Clippy folgt Mico

Microsoft stattet seinen Copilot-Assistenten mit einer animierten Figur namens Mico aus – und erinnert damit an Clippy und Co. (Copilot, Microsoft)

Microsoft stattet seinen Copilot-Assistenten mit einer animierten Figur namens Mico aus - und erinnert damit an Clippy und Co. (Copilot, Microsoft)

Autos: GM streicht Carplay und Android Auto

General Motors entfernt die Smartphoneunterstützung aus seinem gesamten Modellprogramm. iPhone- und Android-Nutzer müssen sich umstellen. (General Motors, Android)

General Motors entfernt die Smartphoneunterstützung aus seinem gesamten Modellprogramm. iPhone- und Android-Nutzer müssen sich umstellen. (General Motors, Android)

Lilbits: Playable LEGO Game Boy kits, AI web browsers, and the short life of ultrathin smartphones

Just a week after a report suggested that Samsung is scrapping plans for a second-gen Galaxy “Edge” phone due to low sales of the Galaxy S25 Edge, it looks like Apple may be scaling back production of its ultrathin iPhone Air for similar re…

Just a week after a report suggested that Samsung is scrapping plans for a second-gen Galaxy “Edge” phone due to low sales of the Galaxy S25 Edge, it looks like Apple may be scaling back production of its ultrathin iPhone Air for similar reasons. Maybe people aren’t as happy to trade battery life and features for […]

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With new acquisition, OpenAI signals plans to integrate deeper into the OS

The acquired firm was working on a tool to control macOS directly with AI.

OpenAI has acquired Software Applications Incorporated (SAI), perhaps best known for the core team that produced what became Shortcuts on Apple platforms. More recently, the team has been working on Sky, a context-aware AI interface layer on top of macOS. The financial terms of the acquisition have not been publicly disclosed.

“AI progress isn’t only about advancing intelligence—it’s about unlocking it through interfaces that understand context, adapt to your intent, and work seamlessly,” an OpenAI rep wrote in the company’s blog post about the acquisition. The post goes on to specify that OpenAI plans to “bring Sky’s deep macOS integration and product craft into ChatGPT, and all members of the team will join OpenAI.”

That includes SAI co-founders Ari Weinstein (CEO), Conrad Kramer (CTO), and Kim Beverett (Product Lead)—all of whom worked together for several years at Apple after Apple acquired Weinstein and Kramer’s previous company, which produced an automation tool called Workflows, to integrate Shortcuts across Apple’s software platforms.

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Lawsuit: Reddit caught Perplexity “red-handed” stealing data from Google results

Scraper accused of stealing Reddit content “shocked” by lawsuit.

In a lawsuit filed on Wednesday, Reddit accused an AI search engine, Perplexity, of conspiring with several companies to illegally scrape Reddit content from Google search results, allegedly dodging anti-scraping methods that require substantial investments from both Google and Reddit.

Reddit alleged that Perplexity feeds off Reddit and Google, claiming to be “the world’s first answer engine” but really doing “nothing groundbreaking.”

“Its answer engine simply uses a different company’s” large language model “to parse through a massive number of Google search results to see if it can answer a user’s question based on those results,” the lawsuit said. “But Perplexity can only run its ‘answer engine’ by wrongfully accessing and scraping Reddit content appearing in Google’s own search results from Google’s own search engine.”

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Researchers show that training on “junk data” can lead to LLM “brain rot”

Models trained on short, popular, and/or “superficial” tweets perform worse on benchmarks.

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is attempting to quantify just how much this kind of low quality data can cause an LLM to experience effects akin to human “brain rot.”

For a pre-print paper published this month, the researchers from Texas A&M, the University of Texas, and Purdue University drew inspiration from existing research showing how humans who consume “large volumes of trivial and unchallenging online content” can develop problems with attention, memory, and social cognition. That led them to what they’re calling the “LLM brain rot hypothesis,” summed up as the idea that “continual pre-training on junk web text induces lasting cognitive decline in LLMs.”

Figuring out what counts as “junk web text” and what counts as “quality content” is far from a simple or fully objective process, of course. But the researchers used a few different metrics to tease a “junk dataset” and “control dataset” from HuggingFace’s corpus of 100 million tweets.

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