Anthropic has upgraded Claude AI with a new feature allowing users to create and share interactive AI-powered applications without any coding. Users can develop various applications, from tutoring tools to games, simply through chat with Claude. Importantly, when others use these applications, they are charged directly, relieving the app creator from incurring API costs. This feature is available to all Claude users—Free, Pro, and Max—though it’s still in beta and may have occasional issues. This advancement transforms Claude from merely an assistant into a comprehensive platform for building AI applications. In summary, users can now easily create and share AI apps while ensuring that usage costs are handled appropriately, making this feature accessible and cost-effective across different user tiers.
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Create AI Applications in Claude Effortlessly—No Coding Needed!
Bernie Sanders Advocates for a 4-Day Work Week Amidst AI-Driven Productivity Gains
Senator Bernie Sanders (I-VT) advocates for using AI advancements to benefit workers rather than corporate profits. In a recent interview with Joe Rogan, he proposed that the productivity gained from AI should lead to reduced work hours for employees, suggesting a shift to a 32-hour work week. He emphasized that technology should improve lives for all, not just tech CEOs. While the tech industry often views increased efficiency as a means to cut costs or expand workloads, Sanders argues it should allow workers more personal time. He cites successful examples, such as a pilot four-day work week in the UK that yielded steady revenue and productivity increases, including Kickstarter and Microsoft Japan’s initiatives, which saw marked productivity boosts. Sanders insists this approach is pragmatic, encouraging companies to leverage technology to enhance workers’ quality of life, allowing them more time for family and personal interests.
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Exploring Sam Altman’s Startup Portfolio: 14 Companies Supported by the OpenAI CEO
Sam Altman, CEO of OpenAI and a prominent figure in AI since ChatGPT’s launch, is also a prolific angel investor. Before co-founding OpenAI in 2015 with Elon Musk, he led Y Combinator, overseeing 280 investments from 2011 to 2019. By June 2024, he had invested in nearly 400 companies, although he holds no equity in OpenAI and earns a modest salary of $76,000. His equity stakes in other companies are valued at around $2 billion, often financed through loans from JPMorgan Chase.
Among his notable investments are Reddit, Neuralink, Helion Energy, and Coalition. Reddit, in which he invested significantly over the years, reached a valuation of $27 billion after going public. Altman’s involvement spans diverse sectors, including fintech (Wave Mobile Money), cybersecurity (Apex), and energy (Oklo, Helion). His strategic investments reflect a keen eye for potential in the evolving tech landscape.
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Assessing AI Training Load Variability at Gigawatt Scale: Could It Trigger Power Grid Blackouts? – SemiAnalysis
AI labs are rapidly developing massive datacenters that stretch the power grid to its limits, presenting unique challenges due to drastic power fluctuations during AI training workloads. Traditional power grids, designed for steady electric loads, struggle to accommodate the simultaneous onset and cessation of demand as thousands of GPUs operate in concert. Notably, even a cluster like Meta’s LLaMa 3 can experience swings of tens of megawatts in seconds, heightening blackout risks. Engineers have resorted to generating dummy workloads to stabilize consumption, leading to millions in annual costs. As AI datacenters grow, solutions like Tesla’s Megapack battery systems are emerging to manage demand fluctuations. Unique load profiles of AI training can trigger cascading blackouts, akin to past failures, underscoring the urgent need for robust backup systems like Battery Energy Storage Systems (BESS) to maintain grid stability and ensure reliability amidst rapidly changing demands.
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Strategies for Nonprofits: Suing OpenAI in the Pursuit of Ethical Journalism – Nieman Lab
The Nieman Lab article discusses the complexities involved in suing OpenAI, particularly for journalism nonprofits. It highlights the challenges of navigating legal frameworks related to copyright and the implications of AI-generated content. Journalism nonprofits, which aim to uphold ethical reporting and accountability, might find it difficult to establish standing in court against a technology company like OpenAI. The article underscores that legal actions may hinge on proving harm, as well as the nuances of intellectual property laws that govern AI outputs. Additionally, it touches on the importance of transparency and ethical considerations in AI usage, suggesting that collaboration between tech firms and journalism organizations could mitigate conflicts. Overall, the piece illustrates the legal landscape that nonprofits must traverse when confronting large AI entities, emphasizing the need for vigilance in protecting journalistic integrity in the age of artificial intelligence.
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AI: The Future of Outsourcing
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Sam Altman Goes Public with His ‘IO’ Trademark Dispute
OpenAI CEO Sam Altman shared email exchanges with Jason Rugolo, founder of the Iyo hearing device startup, to highlight the context surrounding a lawsuit against OpenAI over its device, “io.” The emails, posted by Altman, reveal a friendly communication in which Rugolo sought Altman’s support for his startup’s competitive device. Altman declined an investment but suggested collaboration, mentioning Apple’s Jony Ive, involved in OpenAI’s recent acquisition of an AI hardware company. As OpenAI announced its device in May, Rugolo grew concerned about the name similarity and requested clarity about potential partnership opportunities. Following a lawsuit in June, alleging that OpenAI was aware of Iyo’s technology before its launch, OpenAI scrubbed the “io” name from its site due to a restraining order. The ongoing dispute reflects the tension between startups and established players, with both parties defending their positions publicly, and OpenAI seeking dismissal of the case, deeming Iyo’s claims unfounded.
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Mastering Context: Ensuring Smooth AI Conversations | by Re Alvarez Parmar | June 2025
Reddit and Hacker News discussions about AI frequently feature comments expressing frustration with AI’s responses, often split between the views that AI is either overhyped or that users aren’t prompting correctly. Despite AI’s impressive achievements, like composing music and aiding in drug discovery, many struggle with basic applications, highlighting a potential divide in AI literacy. As reported by The New York Times, AI chatbots are increasingly utilized for mental health support and various tasks, but many users lack awareness of the fundamental limitations governing these interactions—particularly how AI handles conversational memory. Understanding these constraints is crucial for effectively using AI tools, as it’s not solely about prompting techniques but also grasping the underlying principles that guide AI interactions. This article delves into enhancing AI literacy by focusing on these essential yet often overlooked aspects.
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OpenAI’s First AI Hardware Entangled in Legal Dispute Over ‘IO’ Trademark and Branding Issues
OpenAI, in collaboration with former Apple designer Jony Ive, is developing its first hardwaredevice, but the project is currently stalled due to a legal dispute over the name “io.” The legal issues arose after an audio tech startup called Iyo claimed that the name is too similar to its own, prompting a lawsuit. Court documents indicate that discussions took place between OpenAI CEO Sam Altman and Iyo,and Iyo alleges that OpenAI was aware of the potential trademark conflict before moving forward. Following a court order, OpenAI has removed all references to “io” from its website and social media, and the company is being cautious about discussing the project. Although the device is not a wearable or in-ear gadget, specifics remain undisclosed. The hardware, spearheaded by Tang Tan, is expected to take at least another year for finalization, with a release anticipated no earlier than 2026. OpenAI has explored various hardware formats during its development process but must resolve the naming issue before progressing. The situation poses challenges for OpenAI’s entry into the AI hardware space.
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Portia: The Open Source Framework Simplifying Agentic AI Workflow Development – Programmer Zone
Portia AI is an open-source developer framework designed for efficient, stateful multi-agent workflows, emphasizing production readiness. Developers can customize their oversight of agent deployments and engage interactively via Discord. Key features include the ability to iterate on agent reasoning, create multi-agent plans conversationally, and track execution progress with PlanRunState, incorporating deterministic tasks via ExecutionHooks. Portia supports extensive tools and seamless user authentication for API and web agents, connecting to various tool registries and LLMs, including OpenAI. Quick installation requires Python 3.11+, installation of the Portia SDK, and an LLM API key. Users can easily submit commands and manage configurations. Advanced examples, like customer refund agents using Stripe and browser tools, illustrate practical uses. Engagement is encouraged through contributions, with paid opportunities for fixing issues. For further exploration and guidance, users can refer to the documentation and community resources.
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