AI and society

Anthropic settles landmark AI copyright lawsuit for at least $1.5 billion

AI in practice

Microsoft presents its first large AI models and signals greater independence from OpenAI

AI and society

Google downplays AI's environmental impact in new study

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AI in practice
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Google has published the pricing and usage limits for its Gemini AI app. The service is available in over 150 countries and comes in three tiers: free Gemini, Google AI Pro, and Google AI Ultra. Users must be at least 18 years old.

The free version limits access to the advanced Gemini 2.5 Pro model to five requests per day. Google AI Pro raises that to 100 daily requests, while Ultra subscribers can make up to 500. Both paid tiers also expand the context window from 32,000 to 1 million characters.

Pro users can generate up to 20 Deep-Research reports and three videos per day with Gemini 2.5 Pro. Ultra subscribers get 200 Deep-Research reports and up to five videos daily. Image generation jumps from 100 images per day on the free plan to 1,000 on paid subscriptions.

Google notes that these limits may change and can vary based on factors like prompt complexity.

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Salesforce CEO Marc Benioff touts AI productivity gains - "4,000 less heads" needed in support.

Salesforce CEO Marc Benioff is celebrating the impact of AI on the company, describing recent advances as "the most exciting thing that's happened in the last nine months for Salesforce." In a podcast interview with investor Logan Bartlett, Benioff said that thanks to AI-driven productivity gains, he now needs "4,000 less heads" in customer support.

Salesforce stands out in Silicon Valley for Benioff's open enthusiasm about what he calls "radical augmentation" of the workforce through automation. While other tech CEOs still express regret over job cuts, Benioff is vocal about the shift. Since 2023, Salesforce has cut around 9,000 jobs (about 8,000 last year and another 1,000 in 2024), and just this week notified 262 employees in San Francisco of layoffs, according to a state filing. In June, Benioff told Bloomberg that AI already handles "50 percent" of the work at Salesforce.

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Some robotics experts question the value of humanoid designs: "There is a great invention called wheels."

"Humanoid designs only make sense if it is so important to justify the trade-off and sacrifice of other things," says Leo Ma, CEO of RoboForce, in an interview with the Washington Post. His company's Titan robot uses four wheels instead of legs and can lift more weight than humanoid models. Ma adds, "Other than that, there is a great invention called wheels."

Scott LaValley, founder of Cartwheel Robotics, is also skeptical. "The dexterity of these robots isn't fantastic. There are hardware limitations, software limitations. There are definitely safety concerns," he says.

One major challenge: most humanoid robots, like humans, have to constantly expend energy to stay balanced on two legs. If the power cuts out, a bipedal robot generally crumples to the ground, which can pose risks to nearby people and objects. Of course, Ma and others who favor wheeled robots have a clear interest in promoting their own designs.

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LLM hype critic Gary Marcus argues in a conversation with chess grandmaster Garry Kasparov that large language models only create the appearance of understanding, not genuine intelligence.

"It's one of the most profound illusions of our time that most people see these systems and attribute an understanding to them that they don't really have."

Gary Marcus

He explains that while language models can, for example, mimic the rules of chess by generating text based on examples, they can't actually play the game because they lack any real internal sense of what's happening on the board.

"They will repeat the rules, because in the way that they create text based on other texts, they'll be there. [...] But when it actually comes to playing the game, it doesn't have an internal model of what's going on."

For Marcus, this gap between surface-level performance and true comprehension is at the heart of the AI "illusion of intelligence."

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Alibaba unveils Qwen3-Max-Preview, its largest language model yet, featuring more than one trillion parameters. The model is available through Qwen Chat and the Alibaba Cloud API. According to Alibaba, Qwen3-Max-Preview outperforms the previous top model, Qwen3-235B-A22B-2507, in internal benchmarks and with early users. Improvements show up in knowledge, conversation, task handling, and instruction following, with reduced "model knowledge hallucinations."

Image: Qwen

Qwen3-Max-Preview accepts up to 258,048 input tokens and generates up to 32,768 output tokens. Pricing starts at $2,151 per million input tokens and $8,602 per million output tokens. The model does not support image processing.

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Apple is facing a lawsuit in California from authors Grady Hendrix and Jennifer Roberson, who claim the company violated their copyrights by using their books to train AI models like OpenELM and Apple Intelligence. The lawsuit alleges Apple used the Books3 dataset, a collection of more than 196,000 pirated books that includes works by both authors. The complaint also accuses Apple of using its Applebot web crawler to copy website content and pull material from so-called shadow libraries.

The plaintiffs are seeking damages and a court order barring Apple from using their works. This case follows a recent lawsuit against Anthropic, which ended in a settlement after similar copyright claims.

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AI and society

Anthropic settles landmark AI copyright lawsuit for at least $1.5 billion

AI in practice

Microsoft presents its first large AI models and signals greater independence from OpenAI

AI and society

Google downplays AI's environmental impact in new study

Google News