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The Lead When the founders of a mental health app for men called Mental discovered that one feature — AI interactive audio — was resonating strongly with users, they recognized a significant opportunity. This insight led to the creation of The Path, a new AI therapy application co-founded by renowned motivational speaker Tony Robbins and former Calm employees, which has now secured $14.3 million in seed funding. The Birth of a Safer AI Therapy Platform The Path emerged from observations made by co-founder and CEO Anson Whitmer and co-founder Tyler Sheaffer, who previously worked together at meditation app Calm. Whitmer's personal experiences with suicide in his family inspired him to pursue mental health technology. After working at Calm until 2021, he felt he could make a greater impact by addressing the unique, personal nature of people's mental health challenges. Whitmer sees large language models (LLMs) and AI as the bridge to providing personalized mental health care to everyone, especially given the shortage of therapists worldwide. "What's exciting and game-changing is that, for the first time in my career, I've seen that there's actually this possibility for every single person to have the personalized sort of access and care that they need to really get the help," he said. Funding and Celebrity Endorsement The Path has successfully raised $14.3 million in seed funding, led by Prime Movers Lab where Tony Robbins is a partner. Other notable investors include Olympic speed skater Apolo Anton Ohno, boxer Deontay Wilder, and Designer Fund. After Prime Movers invested, Robbins initially consulted on branding but his enthusiasm grew, leading to him becoming a co-founder. The author has since helped shape The Path into a therapy-plus-coaching app that incorporates his popular self-improvement methods. The app currently offers 11 virtual AI therapists that users can customize based on their preferences for directness and other details. While it's currently free to gain users, The Path plans to eventually charge $40 per month for the service. Superior Safety Benchmarks A key differentiator for The Path is its specially trained AI model, which has scored a 95 on the Vera-MH mental health safety AI benchmark. This significantly outperforms consumer chatbots, which top out at 65 on the same benchmark. According to Whitmer, consumer chatbots are "optimized for engagement," which is counterproductive to effective therapy and coaching that should focus on deep understanding rather than quick solutions. "It's meant to challenge you. It's not just meant to agree with you," Whitmer explains. The Path's AI is designed to help users dig out their assumptions and discover their own solutions rather than simply reinforcing ideas to keep users engaged. The startup's model is post-trained from open source models and doesn't use major consumer LLMs, positioning it as a specialized therapeutic tool rather than a generic chatbot wrapper. Market Potential and Future Outlook The mental health tech market is experiencing significant growth, with OpenAI reporting that at least 900 people use ChatGPT for mental health-related queries every week. This demonstrates the clear demand for AI-powered mental health solutions. However, The Path aims to capture a specific segment of this market by focusing on therapeutic rigor and safety. As mental health awareness continues to grow and technology becomes more sophisticated, AI therapy platforms like The Path could play an increasingly important role in addressing global mental health challenges. The combination of Tony Robbins' brand recognition, the technical expertise of the Calm alumni team, and the specialized focus on therapeutic safety positions The Path as a notable contender in the emerging field of AI-powered mental health care.

The Rise of AI Misinformation in Elections The Electoral Commission has called for new legal controls over misinformation from AI chatbots, after a thinktank found they had made serious mistakes during the recent Scottish election. The Study's Findings The thinktank Demos said its investigation had found that AI services gave voters misinformation to 34% of the questions it posed, which it said raised worrying questions about the lack of regulation of AI platforms in the UK. ChatGPT gave wrong information in 46% of its answers, including making up an expenses scandal. Replika had errors in 56% of its answers, inventing a date for a made-up expenses scandal and accusations of nepotism by a candidate. Google Gemini was wrong in 22% of cases, including saying a candidate had not taken a position on assisted dying when they were a supporter. The Impact of AI Misinformation Vijay Rangarajan, the Electoral Commission’s chief executive, said voters want accurate information to help them engage with democracy and it is concerning that AI tools have made the spread of false or misleading information dramatically faster and more accessible than ever. The Call for Regulation The Electoral Commission is pressing ministers to introduce legislation to make AI companies more accountable, including clearer duties on AI platforms to protect voters against misinformation and ensure algorithms do not mislead voters. The Future of AI Regulation Azzurra Moores, an associate director at Demos, said ministers could quickly introduce legal requirements to make AI companies liable under UK defamation and electoral law, introduce mandatory safeguards on accuracy, and force AI firms to allow researchers to independently test how their internal data and training sets worked.

The Rise of AI Chatbot Usage People are increasingly turning to AI chatbots for advice on their personal and social lives. But researchers and even some AI companies are beginning to worry that some users are becoming overly dependent on their chatbots. Share Your Experience The Guardian wants to hear from individuals who have used AI chatbots to make significant decisions and regretted it. The form provided allows users to share their experiences anonymously, if desired. Understanding the Impact This inquiry aims to shed light on the potential consequences of relying on AI chatbots for personal and social decisions. By sharing their stories, individuals can help researchers and AI companies better understand the implications of AI dependency. How to Share Your Story Users can share their experiences through the provided form. The form allows for anonymous submissions. Fields include name, location, age/background, details of the decision, and reasons for regret. Ensuring Privacy and Security The Guardian assures that all responses will be secure and encrypted, with only the Guardian having access to the contributions. Personal data will be deleted when no longer required for the purpose of the feature.

The Lead: Google's AI Shift Toward Autonomous AgentsGoogle has launched Gemini 3.5 Flash, a new AI model representing the company's strategic pivot from conversational AI to autonomous agents capable of independently executing complex tasks. This move signals Google's bet that the future of AI lies in systems that can plan, build, and iterate on real work with minimal human intervention, rather than simply answering questions.The Technical Breakthrough: Gemini 3.5 Flash CapabilitiesGemini 3.5 Flash, introduced at Google's annual I/O developer conference, represents the company's strongest AI model yet for coding and autonomous agents. The model can independently execute coding pipelines, manage research projects, and, in internal tests, build an operating system entirely from scratch. This capability was demonstrated on stage when Google engineer Varun Mohan showed agents spawning off to work on separate components before coming together to build a full operating system inside Antigravity, Google's agentic development platform.Performance Benchmarks: Speed and EfficiencyThe model's performance is remarkable, according to Koray Kavukcuoglu, DeepMind's chief technologist. Flash 3.5 outperforms Google's latest frontier model, 3.1 Pro, on nearly all benchmarks, including coding, agentic tasks, and multimodal reasoning. Most notably, it's four times faster than other frontier models, with an optimized version that's 12 times faster while maintaining the same quality. This speed is crucial for agentic work, where multiple AI agents run simultaneously on long-running tasks.The Industry Shift: From Chatbots to Autonomous AgentsThe release of Gemini 3.5 Flash marks a significant industry shift from AI as a conversational tool to AI as an agentic tool. Google is positioning this as the next wave of AI technology, where systems don't just answer questions but actively plan, build, and iterate on real work. This transition is already showing impact among partners, with banks and fintechs automating multi-week workflows and data science teams finding insights in complex data environments. The model can run autonomously for multiple hours, though it will pause for human input at decision points requiring judgment.Future Outlook: Google's AI Ecosystem ExpansionLooking ahead, Google is developing a complementary model, 3.5 Pro, designed to work in tandem with Flash. According to Tulsee Doshi, Google's senior director and head of product, 3.5 Pro will serve as the orchestrator and planner, leveraging Flash as various sub-agents for tasks requiring brute force tool use. Gemini 3.5 Flash is now the default model in the Gemini app and AI Mode in Search, with agentic capabilities coming to Search and powering Gemini Spark, Google's new personal AI agent designed to run 24/7. As Google expands these autonomous capabilities, the company faces increasing scrutiny regarding safety and ethical considerations, particularly following past incidents with AI systems.

The Lead The UK's Ofcom has taken a significant step in its efforts to regulate the internet, imposing a £950,000 fine on a US-based suicide forum implicated in over 160 UK deaths. This move marks an intensification of the regulator's efforts to make the internet safer, but campaigners argue that more needs to be done. Ofcom's Enforcement Efforts The fine imposed on the suicide forum is a clear example of Ofcom's commitment to enforcing the law online. The regulator is giving the website's operator the chance to address concerns and avoid a court order that would ban access to it. However, the process remains tortuous, and it has taken a long time to get to this point. The Data Analysis £950,000: The fine imposed on the US-based suicide forum 160: The number of UK deaths implicated in the forum's activities The Impact Analysis The issue of online regulation is complex, with the internet dominated by a handful of enormously wealthy US companies over which the UK government has limited sway. Some overseas platforms have reportedly refused to pay Ofcom fines, and Meta has announced that it is taking the regulator to court over its fees and fines. The Prediction The government has pledged to bring the laws governing online pornography in line with analogue forms, and ministers and regulators are making efforts to close the gap between online and offline rules. However, campaigners argue that more needs to be done to tackle online harms, including child sexual abuse imagery. The Online Safety Act needs to be updated to take on board the rollout of AI, and rules governing the behaviour of chatbots, particularly in their interactions with children, urgently need to be agreed.

The Lead: OpenAI's Entry into Personal FinanceOn Friday, OpenAI launched a new set of personal finance tools in preview for ChatGPT Pro subscribers in the U.S., letting them connect their accounts and ask questions ranging from spending analysis to future financial planning. This marks a significant expansion of OpenAI's capabilities beyond general chatbot functionality into specialized financial services.The Financial Integration BreakthroughOpenAI has partnered with the financial connection service Plaid to manage the account connections. Users can connect to over 12,000 financial institutions, including Schwab, Fidelity, Chase, Robinhood, American Express, and Capital One. Once users connect these accounts, they will see a dashboard of their portfolio performance, spending, subscriptions, and upcoming payments.The new product comes just one month after OpenAI acquired the team behind personal finance startup Hiro, which was backed by firms like Ribbit, General Catalyst, and Restive, in April. OpenAI said that the Hiro team's expertise in finance was useful in launching this product, but didn't specify if the entire feature was built by them.OpenAI users can access the tool by selecting "Get started" in the "Finances" option in the sidebar, or typing "@Finances, connect my accounts" in a ChatGPT conversation. Once users do that, the chatbot will guide them about linking accounts through Plaid. The company said it plans to support Intuit soon, which would enable analysis such as the impact of a stock sale on taxes or the odds of a credit card approval.User Engagement and Model PerformanceAccording to OpenAI, more than 200 million users already ask financial questions to ChatGPT every month. The company also noted that the new GPT-5.5 model is stronger at reasoning with context, which is crucial for answering finance-related questions. The company said it worked with finance experts to create a benchmark for the model to improve on personal finance questions.With the new financial tool integration, users can get detailed answers to questions such as "I feel like I've been spending more recently. Has anything changed?" or "Help me build a plan to be ready to buy a house in my area in the next 5 years."Privacy and Data ManagementUsers can go to Settings > Apps > Finances to remove connections to certain accounts if they want. Once they disconnect a service, the synced data will be removed from ChatGPT in 30 days. What's more, Users can also view and delete financial memories from the Finances page.The Industry Shift Toward Specialized AIGeneralized chatbots are designed to answer anything, leading people to ask questions about data-sensitive topics such as health, finance, and personal life. AI companies are realizing this and making specialized products for these sectors. Both OpenAI and Anthropic have launched health-related tools. Earlier this month, Perplxity launched its own financial research product based on its Computer agent.Future Outlook for AI Financial ServicesOpenAI said its personal finance tools will be available on ChatGPT on the web and iOS to Pro users. It noted that, based on the feedback from these users, it wants to improve the product before making it available to Plus users. This cautious approach suggests OpenAI recognizes the sensitivity of financial data and the importance of building trust with users before wider adoption.

The Rise of AI Chatbots in UK Healthcare A UK study has found that one in seven people are using AI chatbots for health advice instead of seeing their GP. The poll of more than 2,000 people revealed that 15% of respondents are turning to chatbots, with one in four having done so because of long NHS waiting lists. The Risks of AI in Healthcare The study, analysed by researchers at King's College London, highlighted the potential risks of using AI for health advice. A fifth of respondents who used chatbots said the technology did not encourage them to seek a professional opinion, and a similar proportion said they decided against seeking a consultation because of something an AI chatbot had told them. The Concerns of Medical Professionals Prof Graham Lord, the lead author of the study, said the growing individual use of chatbots was creating “an unregulated AI healthcare system alongside the NHS”. He added that there is a need for greater transparency about what works, what is safe, and how issues are handled. The Debate on AI in Clinical Decision-Making Respondents were split on whether AI should be used in clinical decision-making, with 37% in favour and 38% against. Prof Victoria Tzortziou Brown, the president of the Royal College of General Practitioners, said it would be “highly concerning” if people were using AI instead of seeing a GP. The Future of AI in Healthcare The research signals how the technology is changing the way people are dealing with health problems. Medical professionals stress that AI can provide quick answers, but it cannot examine a patient, fully understand their medical history, or make safe clinical judgments based on evidence.

Notion introduced a comprehensive developer platform that expands its AI capabilities from simple assistants to a full‑stack hub where people, custom agents, and external AI tools can collaborate across any data source. Developer Platform Adds Orchestration Layer and Custom Code Workers The livestream on 2026-05-13 revealed three core upgrades: Orchestration layer – coordinates AI tasks across multiple tools and databases. Workers – a cloud‑based sandbox where teams can deploy custom code, sync data, and trigger webhooks without external infrastructure. External Agent API – lets users chat with, assign work to, and track progress of third‑party agents such as Claude Code, Cursor, Codex, and Decagon. All features are accessible via the new Notion CLI, available on every plan. Scale of Adoption: Over 1 Million Agents Built Since February Since launching Custom Agents in February, Notion reports that customers have created more than 1 million agents. The credit system that powers both Custom Agents and Workers will remain free through August, encouraging experimentation. Positioning Notion as Core Infrastructure for Knowledge‑Work Automation By unifying AI agents, custom code, and live data, Notion shifts from a collaborative note‑taking app to a programmable platform that competes with workflow‑automation services. This aligns with a broader industry trend where AI companies move beyond chatbots to offer agentic tools that can act across software ecosystems. What’s Next: Expanding Agent Ecosystem and Monetization After Free Period After the free‑through‑August window, Notion is expected to introduce tiered pricing for Workers and advanced orchestration features. The roadmap includes adding more partner agents and deeper integrations with enterprise databases, positioning Notion as a long‑term infrastructure layer for AI‑driven knowledge work.

The Risks of Sharing Secrets with AI Chatbots The ongoing legal battle between Elon Musk and OpenAI has taken a dramatic turn with the revelation that OpenAI's president, Greg Brockman, kept a diary during the company's founding years. This diary has become central to the case, with one heavily cited extract reading: "Financially what will take me to $1B?" Another scrutinized passage states: "It'd be wrong to steal the non-profit from [Musk]. to convert to a b-corp without him. that'd be pretty morally bankrupt. and he's really not an idiot." The Implications of Chatbot Conversations in Court As millions of people use tools like ChatGPT as a digital confession box or therapist, experts warn that these conversations can be admissible in court. In fact, a lawyer told Axios that "within the next decade," the diary equivalent will be standard discovery in every major executive litigation in the country. This means that you shouldn't trust a chatbot with your secrets, as conversations with AI are not always private and may be retained indefinitely and shared with other humans. The Privacy Concerns of Chatbot Conversations Most chatbot conversations are not private, and users should be wary about sharing sensitive information. A recent case involving a former NFL player who allegedly asked ChatGPT for help after killing his girlfriend demonstrates the potential risks. As David Friedberg, a co-host of the All-In podcast, said: "You're just sitting here at home, like, let me write about the crime I'm committing … and by the way, let me never delete it." The Future of AI and Confidentiality As AI technology continues to evolve, it's essential to consider the implications of sharing sensitive information with chatbots. While chatbots like ChatGPT may seem like a safe space to share your thoughts, they are not a substitute for human therapists or lawyers. In fact, they can be a liability in court. As the use of AI chatbots becomes more widespread, it's crucial to prioritize confidentiality and consider the potential risks of sharing secrets with AI.