Artificial Intelligence
Google would like you to study with Gemini instead of cheat with it

Google’s Gemini AI now has a “guided learning” mode that tries to help you actually understand the problems you’re trying to learn about instead of just giving you the answer. Guided learning “acts as a learning companion” that guides you with “questions and step-by-step support,” CEO Sundar Pichai says in a blog post.
Answers from the guided learning mode can include things like images, videos, and interactive quizzes. The company worked with students, educators, researchers, and learning experts to ensure the mode is “helpful for understanding new concepts and is backed by learning science,” according to Pichai.
AI companies are increasingly pushing into education — perhaps in part to try and fight the reputation that AI tools have acquired that they help students cheat. Features like Gemini’s guided learning mode and ChatGPT’s similar study mode, which was announced last week, could theoretically help with actual learning, but the question is whether students will want to use these modes instead of just using the AI chatbots for easy answers.
As part of its announcements on Wednesday, Google is now letting students 18 and older in the US, Japan, Indonesia, Korea, and Brazil sign up for 12 months of its AI Pro Plan for free, as long as they do so by October 6th. The company is also committing $1 billion in funding over three years for “American education, including AI literacy programs, research funding and cloud computing resources,” Pichai says.
Artificial Intelligence
Microsoft brings GPT-5 to Copilot with new smart mode

OpenAI officially launched its new GPT-5 models today, and Microsoft is now bringing GPT-5 to Copilot, Microsoft 365 Copilot, Azure AI Foundry, GitHub Copilot, and more. It’s part of a big simultaneous release of GPT-5 that will show up in Copilot as the new smart mode that I detailed in Notepad last month.
The new smart mode in Copilot allows the AI assistant to switch models for you to use deeper reasoning or quickly respond based on the task. Much like how OpenAI is making GPT-5 available to free users of ChatGPT, Copilot will also have free access to GPT-5.
Microsoft 365 Copilot users will also get access to GPT-5 today. “With GPT-5, Microsoft 365 Copilot is better at reasoning through complex questions, staying on track in longer conversations and understanding the user’s context,” explains Microsoft in a blog post.
GitHub is also bringing GPT-5 to all paid GitHub Copilot plans today, allowing developers to try out the code writing improvements to OpenAI’s latest model. OpenAI’s new GPT-5 model comes in four different versions, and has big improvements in reasoning and code quality. GPT-5 is designed for logic and multi-step tasks, while GPT-5-chat is tuned for enterprise applications with multimodal context-aware conversations.
Finally, Microsoft is also making GPT-5 available through Azure AI Foundry, so developers can utilize it in AI-powered apps. Developers will be able to use the model router in Azure AI Foundry “to ensure the right model is used” for the task or query.
Artificial Intelligence
Alan Turing Institute: Humanities are key to the future of AI

A powerhouse team has launched a new initiative called ‘Doing AI Differently,’ which calls for a human-centred approach to future development.
For years, we’ve treated AI’s outputs like they’re the results of a giant math problem. But the researchers – from The Alan Turing Institute, the University of Edinburgh, AHRC-UKRI, and the Lloyd’s Register Foundation – behind this project say that’s the wrong way to look at it.
What AI is creating are basically cultural artifacts. They’re more like a novel or a painting than a spreadsheet. The problem is, AI is creating this “culture” without understanding any of it. It’s like someone who has memorised a dictionary but has no idea how to hold a real conversation.
This is why AI often fails when “nuance and context matter most,” says Professor Drew Hemment, Theme Lead for Interpretive Technologies for Sustainability at The Alan Turing Institute. The system just doesn’t have the “interpretive depth” to get what it’s really saying.
However, most of the AI in the world is built on just a handful of similar designs. The report calls this the “homogenisation problem” and future AI development must overcome this.
Imagine if every baker in the world used the exact same recipe. You’d get a lot of identical, and frankly, boring cakes. With AI, this means the same blind spots, the same biases, and the same limitations get copied and pasted into thousands of tools we use every day.
We saw this happen with social media. It was rolled out with simple goals, and we’re now living with the unintended societal consequences. The ‘Doing AI Differently’ team is sounding the alarm to make sure we don’t make that same mistake with AI.
The team has a plan to build a new kind of AI, one they call Interpretive AI. It’s about designing systems from the very beginning to work the way people do; with ambiguity, multiple viewpoints, and a deep understanding of context.
The vision is to create interpretive technologies that can offer multiple valid perspectives instead of just one rigid answer. It also means exploring alternative AI architectures to break the mould of current designs. Most importantly, the future isn’t about AI replacing us; it’s about creating human-AI ensembles where we work together, combining our creativity with AI’s processing power to solve huge challenges.
This has the potential to touch our lives in very real ways. In healthcare, for example, your experience with a doctor is a story, not just a list of symptoms. An interpretive AI could help capture that full story, improving your care and your trust in the system.
For climate action, it could help bridge the gap between global climate data and the unique cultural and political realities of a local community, creating solutions that actually work on the ground.
A new international funding call is launching to bring researchers from the UK and Canada together on this mission. But we’re at a crossroads.
“We’re at a pivotal moment for AI,” warns Professor Hemment. “We have a narrowing window to build in interpretive capabilities from the ground up”.
For partners like Lloyd’s Register Foundation, it all comes down to one thing: safety.
“As a global safety charity, our priority is to ensure future AI systems, whatever shape they take, are deployed in a safe and reliable manner,” says their Director of Technologies, Jan Przydatek.
This isn’t just about building better technology. It’s about creating an AI that can help solve our biggest challenges and, in the process, amplify the best parts of our own humanity.
(Photo by Ben Sweet)
See also: AI obsession is costing us our human skills
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Artificial Intelligence
Peloton pivots to wellness alongside another layoff

Peloton has pivoted many times over the past few years in its quest to return to profitability. The latest, as announced in its Q4 2025 earnings call, is leaning into health and wellness instead of “just” cardio fitness.
“With each passing year, we are coming to understand better the importance of strength, stress management, sleep, and nutrition to living our best lives,” CEO Peter Stern said during the call. “This creates the opportunity, no more than that, the mandate, for Peloton to evolve from being a cardio fitness partner to becoming the world’s most trusted wellness partner across the full array of behaviors that maximize health demand.”
He went on the explain that the company will focus on “health span”, or the period of life a person lives in good health. “Advances in medical science contributed to the prolonging of life here in the US by a remarkable 40 years from 1900 to 2020,” Stern says. “However, as life span has increased, health span, the quality as opposed to quantity, of those years has failed to keep up. People are living longer but they’re also living sicker in the U.S.”
Health span isn’t a new concept. Whoop also just released a Health Span feature with its latest tracker earlier this summer. Peloton’s take on improving wellness will reportedly involve investing more in its personalized training programs, the standalone Strength Plus app, as well as meditation and sleep features. Stern also said that Peloton would test and iterate on bringing nutritional content to its platform. In a shareholder letter, Stern highlighted using AI and integrating with health tracking devices as a means to provide “increasingly personal insights, plans, and recommendations” to its members.
On the business side, Peloton exceeded investor expectations in all metrics. It posted $607 million in revenue, roughly $21 million above the top end of its expected guidance range. Connected paid fitness subscriptions and paid app subscriptions also exceeded targets, posting 2.8 million and 552,000, respectively. Peloton shares rose roughly 11 percent on the news, but Stern noted that the company’s operating expenses were still too high.
As a result, Stern says the company will undergo another cost restructuring plan that includes laying off about six percent of its workforce. “This is not a decision we came to lightly, as it impacts many talented team members, but we believe it is necessary for the long-term health of our business,” Stern writes in the shareholder letter. This marks the company’s sixth round of layoffs, coming a little over a year after the company laid off 15 percent of its workforce and former CEO Barry McCarthy stepped down.
Peloton also plans to adjust pricing. That includes a new assembly fee for its hardware, which was previously free with purchase. (There will still be a free option for self-assembly.) The company also plans to introduce a new Special Pricing program to make its products more affordable for teachers, military personnel, first responders, and medical professionals.
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