OpenAI’s release of its first open model in years has been postponed until later this summer, as announced by CEO Sam Altman on X. Initially aiming for a June release, Altman indicated that the research team’s new developments warranted additional time. The open model will feature reasoning capabilities comparable to OpenAI’s existing o-series models and aims to outperform competitors like DeepSeek’s R1. The AI landscape has intensified, with recent offerings from other labs, such as Mistral’s Magistral and Qwen’s hybrid models. OpenAI is also contemplating integrating advanced features into its open model, including connections to its cloud-hosted AI systems for complex queries, although it’s uncertain if these will be included in the final version. The release is crucial for OpenAI’s reputation within the research community, as Altman has acknowledged past missteps in open sourcing. The company faces pressure to deliver a competitive model that meets industry standards.
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Delay in the Release of OpenAI’s Open Model
China’s AI Develops Intel-Quality Chips Without Any U.S. Software
As the US-China tech conflict escalates, both nations strive for independence in critical technologies. The US has tightened access to advanced chip tools, prompting China to intensify efforts to reduce its dependence on Western software. A notable initiative from China’s Academy of Sciences is the launch of QiMeng, an AI-powered platform for automating chip design, which traditionally has been dominated by American companies. QiMeng utilizes large language models to simplify complex design tasks and was developed collaboratively with multiple scientific institutions. Open-sourced on GitHub, it allows rapid chip production, with designs taking just days compared to weeks for human engineers. The platform consists of three functional layers, supporting various design applications. In the context of US export restrictions on electronic design automation software, QiMeng aims to enhance efficiency, cut costs, and advance China’s self-reliance in chip technologies, despite acknowledging challenges in fabrication and resources.
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Google Unveils Affordable $20 AI Pro Plan Featuring Veo 3: The Fast Video Generator for Budget-Friendly Creators
Google is enhancing its $20/month Gemini Pro plan by integrating expanded access to the Veo 3 Fast video maker, streamlining AI content creation for users at an affordable rate. This update, highlighted by Josh Woodward, VP of Google Labs and Gemini, allows subscribers to produce up to three videos daily, significantly improving the value of the Pro plan compared to the pricier Ultra tier at $250/month. Additionally, Flow Pro members can utilize Veo 3 Fast, costing 20 credits per generation from the plan’s monthly allocation of 1,000 credits. This flexible credit system opens up experimentation with various Google tools without overspending. For budget-conscious creators, Veo 2 remains available for simpler video tasks. The update also improves subtitle capabilities, enhancing accessibility. Lastly, the Pixel 9 offers one year of free Google AI Pro, granting users access to these advanced tools and generous cloud storage.
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OpenAI Expands Access to o3-pro and Slashes Price by 87%
OpenAI has launched a significant upgrade to its flagship model, o3-pro, now available to ChatGPT Pro and Team users as well as developers at drastically reduced prices. The new pricing sees o3-pro at $20 for input and $80 for output per million tokens—an 87% decrease from the previous model, o1-pro, while the base o3 model costs just $2/$8 per million tokens. Expert evaluations indicate o3-pro excels in reasoning tasks, particularly in science, programming, and business. It integrates tools for web searches, file analysis, and memory, though responses may take longer. This iteration promises improved reliability and fewer inaccuracies, passing internal benchmarks that demand consistent performance. While there are caveats, such as temporary limitations on chats and lack of image generation, the enhanced capabilities combined with significantly lower costs make o3-pro an attractive option for developers and power users.
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Altman and OpenAI Hit with Trademark Lawsuit Amidst $6.5B IO Acquisition Deal
IYO Inc. has filed a lawsuit against OpenAI, CEO Sam Altman, and designer Jony Ive, accusing them of willful trademark infringement. The complaint, lodged in the U.S. District Court for Northern California, claims that the launch of IO— a name similar to IYO—derailed IYO’s progress by copying its innovative wearable technology. IYO alleges that the defendants knowingly acted to undermine them, particularly following OpenAI’s $6.5 billion acquisition of IO Products Inc. shortly after IYO pitched similar ideas to Altman. Founded in 2021, IYO specializes in screenless AI-powered wearables, with its flagship product, the IYO ONE, aiming to redefine human-computer interaction. IYO believes IO’s mission and product resemble its own, asserting that their prototype announcement video closely reflects IYO’s vision. The lawsuit argues that IO’s branding and timing have created market confusion, jeopardizing IYO’s growth as it prepares to expand.
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Agentic AI: A Crutch or a Catalyst for Legal Professionals?
The integration of AI in the legal profession presents both opportunities and challenges. Lawyers face a dilemma: they can either over-rely on AI or ignore it altogether, potentially harming their careers. AI, particularly generative and agentic AI, can save time and enhance productivity, but it also risks diminishing critical thinking and skill development.
Training in AI is akin to learning a new language, requiring gradual skill acquisition. Lawyers must balance efficiency with independent judgment, recognizing when to trust AI and when to apply their expertise. Misuse of AI can lead to cognitive laziness and uncertainty, emphasizing the need for self-awareness in task delegation.
A healthy AI-work-life balance is essential; AI should support, not replace, lawyers’ critical faculties. Proper use can enhance efficiency and job satisfaction, transforming AI assistants into pro-active team members. Ultimately, lawyers who manage this balance effectively will excel in their roles, leveraging AI while maintaining essential human competencies.
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OpenAI Introduces o3-pro AI Model: Enhanced Reliability and Tool Utilization for Enterprises with a Trade-off in Speed
OpenAI has launched the o3-pro reasoning model shortly after announcing a price reduction for its predecessor. Designed for enterprise-level applications, o3-pro aims to provide accurate and detailed responses, featuring enhanced software tool integrations. However, it operates slower than previous versions, making it more suitable for complex queries where reliability outweighs speed. For instance, early users reported response times of several minutes for simple prompts, incurring higher costs of $20 per input and $80 per output, compared to o3’s substantially lower fees. While o3-pro shows promise in outperforming previous models in various domains, such as business and programming, its operating cost may deter developers from adoption. The model is available via OpenAI’s API for Pro and Team ChatGPT users and continues to evolve amidst increasing competition in the AI reasoning space. Initial reactions highlight its advanced capabilities, though technical issues are still being resolved.
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Evogene and Google Cloud Launch Groundbreaking Foundation Model for Generative Molecule Design, Transforming the Future of Life Science AI
Evogene Ltd. has introduced a groundbreaking generative AI model for small-molecule design, enhancing its ChemPass AI platform in collaboration with Google Cloud. Unveiled on June 10, 2025, this model addresses key challenges in pharmaceuticals and agriculture by enabling the concurrent optimization of multiple complex criteria such as efficacy, toxicity, and stability during compound discovery. Unlike traditional sequential screening, which is slow and often leads to failure, this AI-driven approach allows researchers to design effective molecules while minimizing costly late-stage setbacks.
ChemPass AI’s foundation model, termed ChemPass-GPT, leverages a massive dataset of 40 billion molecular structures and employs transformer neural networks to generate novel, chemically valid compounds. This model excels in multi-objective optimization, effectively balancing various properties throughout the design process—significantly enhancing the likelihood of success in clinical trials and creating innovative, patentable products in drug development and crop protection. Overall, Evogene’s technology is poised to revolutionize R&D by significantly accelerating and improving the discovery process across life sciences.
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Revolutionary AI Tools Transform the Landscape as AWS Unveils New ‘Secret’ Region – MeriTalk
Artificial intelligence (AI) has transformed the Office of the Director of National Intelligence (ODNI), according to Director Tulsi Gabbard, during her address at the AWS Summit in Washington, D.C. on June 10. She highlighted the deployment of an intelligence community chatbot and AI applications within top secret clouds as essential tools for delivering timely, objective intelligence. Gabbard emphasized that strategic AI integration can save costs across the 18 intelligence community branches. Her newly formed Director’s Initiatives Group (DIG) is focused on enhancing trust and transparency, utilizing AI for faster declassification processes and efficient analysis of vast media content. For instance, AI reduced the time needed to analyze 10,000 hours of media from 48 hours to just one hour. Gabbard stressed the need for operationalizing intelligence for user applicability, while AWS announced plans to launch a new Secret-West Region to support classified missions, enhancing operational speed and innovation.
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