<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>AI Agentic News</title><description>The latest agentic AI news — curated from 13+ sources, synthesized every 4 hours.</description><link>https://aiagentic.news/</link><language>en-gb</language><ttl>240</ttl><item><title>After data breach, $10B valued startup Mercor is having a month</title><link>https://aiagentic.news/story/after-data-breach-10b-valued-startup-mercor-is-having-a-month/</link><guid isPermaLink="true">https://aiagentic.news/story/after-data-breach-10b-valued-startup-mercor-is-having-a-month/</guid><description>Mercor, a $10 billion valued startup, is facing a series of challenges after falling victim to a data breach. The breach has led to lawsuits and the loss of big-name customers. The exact nature of the breach and the extent of the damage are not yet clear. Mercor&apos;s stock price has taken a hit as a result, and the company&apos;s reputation has been tarnished. The incident highlights the growing concern over data security in the tech industry. Mercor has acknowledged the breach and is working to rectify the situation. The company has not yet disclosed the number of affected customers or the type of data that was compromised. The incident is a major setback for Mercor, which had been making waves in the tech industry with its innovative approach to AI.</description><pubDate>Thu, 09 Apr 2026 19:33:54 GMT</pubDate><category>industry</category><category>data breach</category><category>mercor</category><category>startup</category><category>security</category></item><item><title>Meta AI app climbs to No. 5 on the App Store after Muse Spark launch</title><link>https://aiagentic.news/story/meta-ai-app-climbs-to-no-5-on-the-app-store-after-muse-spark-launch/</link><guid isPermaLink="true">https://aiagentic.news/story/meta-ai-app-climbs-to-no-5-on-the-app-store-after-muse-spark-launch/</guid><description>A Meta AI app has seen a significant surge in popularity after the launch of the company&apos;s new Muse Spark model. The app, which was previously ranking at No. 57 on the App Store, has climbed to No. 5 and is continuing to rise. The app&apos;s success is a testament to the growing demand for AI-powered tools. The Muse Spark model is a significant improvement over its predecessor, and its impact is being felt across various industries. The app&apos;s developers are likely to continue to iterate and improve the product based on user feedback. The success of the app is a major win for Meta AI, which has been investing heavily in AI research and development.</description><pubDate>Thu, 09 Apr 2026 19:10:07 GMT</pubDate><category>models</category><category>meta</category><category>ai</category><category>app store</category><category>muse spark</category></item><item><title>Is Anthropic limiting the release of Mythos to protect the internet — or Anthropic?</title><link>https://aiagentic.news/story/is-anthropic-limiting-the-release-of-mythos-to-protect-the-internet-or-anthropic/</link><guid isPermaLink="true">https://aiagentic.news/story/is-anthropic-limiting-the-release-of-mythos-to-protect-the-internet-or-anthropic/</guid><description>Anthropic has announced that it is limiting the release of its new model, Mythos, due to its potential to find security exploits in software relied upon by users. The company claims that the move is necessary to protect the internet from potential harm. However, some experts are questioning the motivations behind the decision, suggesting that Anthropic may be limiting the release of Mythos to protect its own interests. The debate highlights the complex issues surrounding the development and deployment of advanced AI models. The decision has sparked a heated debate in the AI community, with some arguing that the benefits of Mythos outweigh the risks. Others are calling for greater transparency and regulation of AI development.</description><pubDate>Thu, 09 Apr 2026 18:50:05 GMT</pubDate><category>agents</category><category>anthropic</category><category>mythos</category><category>ai</category><category>security</category></item><item><title>Claude Cowork expands to all paid plans on macOS and Windows with new org controls</title><link>https://aiagentic.news/story/claude-cowork-expands-to-all-paid-plans-on-macos-and-windows-with-new-org-contro/</link><guid isPermaLink="true">https://aiagentic.news/story/claude-cowork-expands-to-all-paid-plans-on-macos-and-windows-with-new-org-contro/</guid><description>Anthropic&apos;s AI assistant, Claude Cowork, has expanded to all paid plans on macOS and Windows with new organizational controls and Zoom integration. The update is a significant improvement over previous versions of the AI and marks a major step forward in the development of AI-powered productivity tools. The feature is expected to be particularly useful for businesses and teams looking to streamline their workflow. Anthropic has not disclosed the exact details of the update, but it is believed to include advanced features such as automated scheduling and task management.</description><pubDate>Thu, 09 Apr 2026 18:40:08 GMT</pubDate><category>tools</category><category>anthropic</category><category>claude cowork</category><category>ai</category><category>productivity</category></item><item><title>Google and Intel deepen AI infrastructure partnership</title><link>https://aiagentic.news/story/google-and-intel-deepen-ai-infrastructure-partnership/</link><guid isPermaLink="true">https://aiagentic.news/story/google-and-intel-deepen-ai-infrastructure-partnership/</guid><description>Google and Intel have announced a deepened partnership to co-develop custom chips for AI infrastructure. The move comes at a time when demand for CPUs is high due to a growing global shortage. The partnership is expected to accelerate the development of AI-powered technologies and improve the efficiency of AI systems. The collaboration will also help to reduce the carbon footprint of data centers. Google and Intel have a long history of collaboration, and this latest partnership is a significant step forward in their efforts to advance AI research and development.</description><pubDate>Thu, 09 Apr 2026 18:27:47 GMT</pubDate><category>industry</category><category>google</category><category>intel</category><category>ai</category><category>chips</category></item><item><title>OpenAI halves its Pro price to $100 for heavy Codex users, undercuts Anthropic and Google</title><link>https://aiagentic.news/story/openai-halves-its-pro-price-to-100-for-heavy-codex-users-undercuts-anthropic-and/</link><guid isPermaLink="true">https://aiagentic.news/story/openai-halves-its-pro-price-to-100-for-heavy-codex-users-undercuts-anthropic-and/</guid><description>OpenAI has announced that it is restructuring its subscription tiers with a new $100-per-month Pro plan. The biggest change is that heavy Codex users will get significantly more usage at half the price of the old Pro tier. The move is seen as a major blow to Anthropic and Google, which have been charging similar prices for their AI services. OpenAI&apos;s decision is a significant step forward in the development of AI-powered tools and marks a major shift in the competitive landscape. The company&apos;s goal is to make its services more accessible to a wider range of users.</description><pubDate>Thu, 09 Apr 2026 18:06:29 GMT</pubDate><category>tools</category><category>openai</category><category>codex</category><category>pro plan</category><category>ai</category></item><item><title>The 70-Person AI Image Startup Taking on Silicon Valley’s Giants</title><link>https://aiagentic.news/story/the-70-person-ai-image-startup-taking-on-silicon-valleys-giants/</link><guid isPermaLink="true">https://aiagentic.news/story/the-70-person-ai-image-startup-taking-on-silicon-valleys-giants/</guid><description>Black Forest Labs, a 70-person AI image startup, is taking on the giants of Silicon Valley with its innovative approach to AI-powered image generation. The company has long punched above its weight in the industry, and its next move is to power physical AI. The company is working on a range of projects, from AI-powered robots to smart home devices. Black Forest Labs is a testament to the power of innovation and entrepreneurship in the tech industry. The company&apos;s success is a reminder that even small startups can make a big impact.</description><pubDate>Thu, 09 Apr 2026 18:00:00 GMT</pubDate><category>industry</category><category>black forest labs</category><category>ai image</category><category>silicon valley</category></item><item><title>Google’s Gemini AI can answer your questions with 3D models and simulations</title><link>https://aiagentic.news/story/googles-gemini-ai-can-answer-your-questions-with-3d-models-and-simulations/</link><guid isPermaLink="true">https://aiagentic.news/story/googles-gemini-ai-can-answer-your-questions-with-3d-models-and-simulations/</guid><description>Google&apos;s Gemini AI has been updated to include the ability to answer questions with 3D models and simulations. The feature allows users to interact with complex data in a more intuitive and engaging way. The update is a significant improvement over previous versions of the AI and marks a major step forward in the development of conversational AI. The feature is expected to be particularly useful for educational and training purposes. Google has not disclosed the exact details of how the feature works, but it is believed to use advanced computer vision and machine learning techniques.</description><pubDate>Thu, 09 Apr 2026 17:57:58 GMT</pubDate><category>models</category><category>google</category><category>geminai</category><category>3d models</category><category>simulations</category></item><item><title>Sierra’s Bret Taylor says the era of clicking buttons is over</title><link>https://aiagentic.news/story/sierras-bret-taylor-says-the-era-of-clicking-buttons-is-over/</link><guid isPermaLink="true">https://aiagentic.news/story/sierras-bret-taylor-says-the-era-of-clicking-buttons-is-over/</guid><description>Sierra&apos;s Bret Taylor has announced that the era of clicking buttons is over, with the company&apos;s new agent, Ghostwriter, set to revolutionize the way we interact with technology. The agent is designed to build other agents, marking a significant shift towards a more natural and intuitive user experience. Users will be able to describe what they need, and Ghostwriter will autonomously create and deploy the necessary tools. The move is a major departure from traditional click-based web applications and marks a significant step forward in the development of AI-powered technology.</description><pubDate>Thu, 09 Apr 2026 17:20:50 GMT</pubDate><category>tools</category><category>sierra</category><category>ghostwriter</category><category>agent</category><category>ai</category></item><item><title>Google Gemini now generates interactive visualizations you can tweak and explore right in the chat</title><link>https://aiagentic.news/story/google-gemini-now-generates-interactive-visualizations-you-can-tweak-and-explore/</link><guid isPermaLink="true">https://aiagentic.news/story/google-gemini-now-generates-interactive-visualizations-you-can-tweak-and-explore/</guid><description>Google&apos;s Gemini AI has been updated to generate interactive visualizations directly in the chat. The feature allows users to interact with complex data in a more intuitive and engaging way. The update is a significant improvement over previous versions of the AI and marks a major step forward in the development of conversational AI. The feature is expected to be particularly useful for educational and training purposes. Google has not disclosed the exact details of how the feature works, but it is believed to use advanced computer vision and machine learning techniques.</description><pubDate>Thu, 09 Apr 2026 16:50:39 GMT</pubDate><category>models</category><category>google</category><category>geminai</category><category>interactive visualizations</category></item><item><title>Amazon CEO takes aim at Nvidia, Intel, Starlink, more in annual shareholder letter</title><link>https://aiagentic.news/story/amazon-ceo-takes-aim-at-nvidia-intel-starlink-more-in-annual-shareholder-letter/</link><guid isPermaLink="true">https://aiagentic.news/story/amazon-ceo-takes-aim-at-nvidia-intel-starlink-more-in-annual-shareholder-letter/</guid><description>Amazon CEO Andy Jassy has taken a veiled swipe at several major tech companies, including Nvidia, Intel, and Starlink, in the company&apos;s annual shareholder letter. Jassy defended Amazon&apos;s $200 billion investment in capital expenditures, which some have criticized as excessive. In the letter, Jassy also touted Amazon&apos;s investments in cloud computing, artificial intelligence, and other areas. The move is seen as a response to criticism from investors and analysts who have questioned the company&apos;s spending habits. Nvidia, Intel, and Starlink were not immediately available for comment. Amazon has been expanding its cloud computing business, and Jassy&apos;s letter highlighted the company&apos;s efforts to improve its data center efficiency and reduce its carbon footprint. The letter also touched on Amazon&apos;s investments in artificial intelligence, including its development of the SageMaker platform. Overall, Jassy&apos;s letter is seen as a defensive move to justify Amazon&apos;s spending habits and reassure investors.</description><pubDate>Thu, 09 Apr 2026 14:27:57 GMT</pubDate><category>industry</category><category>amazon</category><category>nvidia</category><category>intel</category><category>starlink</category></item><item><title>Final 2 days to save up to $500 on your TechCrunch Disrupt 2026 ticket</title><link>https://aiagentic.news/story/final-2-days-to-save-up-to-500-on-your-techcrunch-disrupt-2026-ticket/</link><guid isPermaLink="true">https://aiagentic.news/story/final-2-days-to-save-up-to-500-on-your-techcrunch-disrupt-2026-ticket/</guid><description>TechCrunch Disrupt 2026 is one of the most anticipated tech events of the year, and tickets are selling out fast. With only two days left to register, attendees can save up to $500 on their tickets. The early bird discounts are set to expire on April 10 at 11:59 p.m. PT, after which prices will increase. TechCrunch Disrupt 2026 promises to bring together the who&apos;s who of the tech industry, with keynote speakers, panel discussions, and networking opportunities. Don&apos;t miss out on this chance to connect with industry leaders and stay ahead of the curve. Register now to secure your spot and take advantage of the discounted prices.</description><pubDate>Thu, 09 Apr 2026 14:00:00 GMT</pubDate><category>tools</category><category>techcrunch</category><category>disrupt</category><category>tickets</category></item><item><title>The AI industry’s race for profits is now existential</title><link>https://aiagentic.news/story/the-ai-industrys-race-for-profits-is-now-existential/</link><guid isPermaLink="true">https://aiagentic.news/story/the-ai-industrys-race-for-profits-is-now-existential/</guid><description>The AI industry is facing an existential crisis as companies scramble to make a profit in a rapidly changing market. With the rise of large language models and generative AI, the industry is facing increased competition and pressure to deliver results. Companies are racing to develop more advanced AI models and applications, but the cost of development and the risk of failure are significant. The article highlights the challenges faced by the industry and the need for companies to adapt and innovate in order to survive. The AI industry is at a critical juncture, and only those that can deliver results will survive.</description><pubDate>Thu, 09 Apr 2026 14:00:00 GMT</pubDate><category>industry</category><category>ai</category><category>industry</category><category>profits</category></item><item><title>OpenAI reportedly following Anthropic’s lead in restricting access to powerful cybersecurity AI</title><link>https://aiagentic.news/story/openai-reportedly-following-anthropics-lead-in-restricting-access-to-powerful-cy/</link><guid isPermaLink="true">https://aiagentic.news/story/openai-reportedly-following-anthropics-lead-in-restricting-access-to-powerful-cy/</guid><description>OpenAI is reportedly following in the footsteps of Anthropic in restricting access to its powerful cybersecurity AI models. The move is seen as a response to the growing concern about the misuse of AI technology. OpenAI is working on a new AI model with advanced cybersecurity capabilities that will only be available to a small group of companies, according to Axios. The article highlights the need for responsible AI development and the importance of controlling access to powerful AI models. The move is seen as a step in the right direction, but some experts are questioning the effectiveness of these restrictions.</description><pubDate>Thu, 09 Apr 2026 13:47:26 GMT</pubDate><category>policy</category><category>openai</category><category>anthropic</category><category>cybersecurity</category></item><item><title>New Stanford study reveals when teaming up AI agents is worth the compute</title><link>https://aiagentic.news/story/new-stanford-study-reveals-when-teaming-up-ai-agents-is-worth-the-compute/</link><guid isPermaLink="true">https://aiagentic.news/story/new-stanford-study-reveals-when-teaming-up-ai-agents-is-worth-the-compute/</guid><description>A new study from Stanford University has revealed that teaming up AI agents can be worth the extra compute power, but only under certain conditions. The study found that multi-agent systems can outperform single-agent systems in certain tasks, but the advantage is largely due to the increased compute power. The researchers found that the benefits of multi-agent systems are most pronounced in tasks that require complex decision-making and coordination. However, the study also highlights the importance of controlling the number of agents and the complexity of the tasks to avoid diminishing returns. The findings have implications for the development of multi-agent systems and the design of AI architectures.</description><pubDate>Thu, 09 Apr 2026 13:32:07 GMT</pubDate><category>models</category><category>stanford</category><category>ai</category><category>agents</category></item><item><title>The Pro-Iran Meme Machine Trolling Trump With AI Lego Cartoons</title><link>https://aiagentic.news/story/the-pro-iran-meme-machine-trolling-trump-with-ai-lego-cartoons/</link><guid isPermaLink="true">https://aiagentic.news/story/the-pro-iran-meme-machine-trolling-trump-with-ai-lego-cartoons/</guid><description>A pro-Iran group called Explosive Media has been using AI-generated Lego cartoons to troll US President Donald Trump and his administration. The group has released over a dozen videos mocking Trump and the US, using the Lego characters to create humorous and satirical content. The videos have gone viral on social media, with many users praising the creativity and humor of the content. The use of AI-generated content is a new twist on the traditional meme, and raises questions about the role of AI in content creation. The group&apos;s tactics are seen as a form of digital warfare, using humor and satire to spread their message.</description><pubDate>Thu, 09 Apr 2026 13:25:21 GMT</pubDate><category>models</category><category>ai</category><category>lego</category><category>meme</category></item><item><title>The Download: AstroTurf wars and exponential AI growth</title><link>https://aiagentic.news/story/the-download-astroturf-wars-and-exponential-ai-growth/</link><guid isPermaLink="true">https://aiagentic.news/story/the-download-astroturf-wars-and-exponential-ai-growth/</guid><description>This edition of The Download highlights the ongoing AstroTurf wars and the rapid growth of AI technology. The article discusses the challenges faced by companies in the tech industry, including the need to innovate and adapt to changing market conditions. The author also touches on the importance of responsible AI development and the need for companies to prioritize ethics and transparency. The article concludes by highlighting the potential benefits of AI technology and the need for continued investment and research in this area.</description><pubDate>Thu, 09 Apr 2026 12:25:10 GMT</pubDate><category>industry</category><category>astroturf</category><category>ai</category><category>growth</category></item><item><title>US appeals court refuses to block Pentagon&apos;s blacklisting of Anthropic</title><link>https://aiagentic.news/story/us-appeals-court-refuses-to-block-pentagons-blacklisting-of-anthropic/</link><guid isPermaLink="true">https://aiagentic.news/story/us-appeals-court-refuses-to-block-pentagons-blacklisting-of-anthropic/</guid><description>A US appeals court has declined to temporarily block the Pentagon&apos;s designation of Anthropic as a national security risk. The decision allows the Pentagon to continue to enforce its ban on the use of Anthropic&apos;s technology. The ban was put in place due to concerns about the potential risks associated with Anthropic&apos;s AI technology. Anthropic has argued that its technology is not a national security risk and that the ban is unwarranted. The company has vowed to continue to fight the ban in court. The decision is seen as a significant setback for Anthropic and its plans to develop and deploy AI technology.</description><pubDate>Thu, 09 Apr 2026 11:08:01 GMT</pubDate><category>policy</category><category>anthropic</category><category>pacific</category><category>national security</category><category>ai</category></item><item><title>Zhipu AI&apos;s GLM-5.1 can rethink its own coding strategy across hundreds of iterations</title><link>https://aiagentic.news/story/zhipu-ais-glm-51-can-rethink-its-own-coding-strategy-across-hundreds-of-iteratio/</link><guid isPermaLink="true">https://aiagentic.news/story/zhipu-ais-glm-51-can-rethink-its-own-coding-strategy-across-hundreds-of-iteratio/</guid><description>Zhipu AI has released its new GLM-5.1 model, which can refine its own approach to coding tasks across hundreds of iterations. The model is available under an MIT license and is designed to be highly adaptable and flexible. The GLM-5.1 model is the latest in a series of advancements in AI-powered coding tools, which are becoming increasingly popular in the tech industry. Zhipu AI&apos;s model is seen as a significant step forward in the development of AI-powered coding tools, which have the potential to revolutionize the way software is developed.</description><pubDate>Thu, 09 Apr 2026 11:05:27 GMT</pubDate><category>models</category><category>zhipu ai</category><category>glm-5.1</category><category>ai</category><category>coding</category><category>software development</category></item><item><title>Google makes it easy to deepfake yourself</title><link>https://aiagentic.news/story/google-makes-it-easy-to-deepfake-yourself/</link><guid isPermaLink="true">https://aiagentic.news/story/google-makes-it-easy-to-deepfake-yourself/</guid><description>Google has released a new tool that makes it simple to create deepfakes of oneself. The tool, called &amp;quot;Deepfake Yourself,&amp;quot; uses AI to swap the user&apos;s face with a celebrity&apos;s or other person&apos;s face in a video. The technology is available on Google Cloud and can be used for a variety of purposes, including entertainment and education. However, some experts are raising concerns about the potential for misuse. Google has emphasized that the tool is intended for creative purposes only and that users must comply with applicable laws and regulations. The tool is already being used in various industries, including advertising and film production. As deepfake technology continues to improve, it&apos;s likely that we&apos;ll see more widespread use of this type of technology in the future.</description><pubDate>Thu, 09 Apr 2026 10:53:49 GMT</pubDate><category>industry</category><category>deepfake</category><category>google</category><category>ai</category><category>entertainment</category><category>education</category></item><item><title>Desalination technology, by the numbers</title><link>https://aiagentic.news/story/desalination-technology-by-the-numbers/</link><guid isPermaLink="true">https://aiagentic.news/story/desalination-technology-by-the-numbers/</guid><description>Desalination technology is becoming increasingly important in regions with water stress. The article delves into the numbers behind desalination, including the cost, energy consumption, and environmental impact. Desalination plants are being built in various parts of the world, including the Middle East and North Africa. The technology is seen as a solution to the global water crisis, but it also raises concerns about energy consumption and environmental impact.</description><pubDate>Thu, 09 Apr 2026 10:00:00 GMT</pubDate><category>industry</category><category>desalination</category><category>water</category><category>energy</category><category>environment</category></item><item><title>Is fake grass a bad idea? The AstroTurf wars are far from over.</title><link>https://aiagentic.news/story/is-fake-grass-a-bad-idea-the-astroturf-wars-are-far-from-over/</link><guid isPermaLink="true">https://aiagentic.news/story/is-fake-grass-a-bad-idea-the-astroturf-wars-are-far-from-over/</guid><description>A recent warm spell in January melted enough snow to reveal Cornell University&apos;s new athletic field, built with synthetic turf. The field was previously a meadow teeming with birds and bugs, but is now an acre of artificial turf. The use of synthetic turf has been the subject of controversy, with some arguing that it is a bad idea. The article explores the pros and cons of synthetic turf and the ongoing debate about its use in sports fields.</description><pubDate>Thu, 09 Apr 2026 10:00:00 GMT</pubDate><category>industry</category><category>synthetic turf</category><category>sports</category><category>environment</category><category>cornell university</category></item><item><title>This AI Wearable From Ex-Apple Engineers Looks Like an iPod Shuffle</title><link>https://aiagentic.news/story/this-ai-wearable-from-ex-apple-engineers-looks-like-an-ipod-shuffle/</link><guid isPermaLink="true">https://aiagentic.news/story/this-ai-wearable-from-ex-apple-engineers-looks-like-an-ipod-shuffle/</guid><description>Two former Apple Vision Pro developers have created a new AI-powered wearable device that only listens when the user taps it. The device, called &amp;quot;Tap,&amp;quot; uses AI to recognize and respond to specific taps and voice commands. The creators hope to address the privacy concerns that have plagued other AI-powered devices, such as smart speakers. The Tap device is currently available for pre-order and is expected to be released later this year. The developers believe that their device will be more secure and private than other AI-powered devices on the market.</description><pubDate>Thu, 09 Apr 2026 09:30:00 GMT</pubDate><category>hardware</category><category>ai</category><category>wearable</category><category>apple</category><category>privacy</category><category>security</category></item><item><title>Claude mixes up who said what and that&apos;s not OK</title><link>https://aiagentic.news/story/claude-mixes-up-who-said-what-and-thats-not-ok/</link><guid isPermaLink="true">https://aiagentic.news/story/claude-mixes-up-who-said-what-and-thats-not-ok/</guid><description>The article reports on a recent incident involving Claude, an AI chatbot, which incorrectly attributed quotes to a prominent figure. The incident highlights the limitations and potential biases of AI-powered chatbots. The article explores the implications of this incident and the need for more robust testing and evaluation of AI-powered chatbots.</description><pubDate>Thu, 09 Apr 2026 09:25:28 GMT</pubDate><category>tools</category><category>ai chatbots</category><category>claude</category><category>ai</category><category>bias</category></item><item><title>Anthropic launches managed infrastructure for autonomous AI agents</title><link>https://aiagentic.news/story/anthropic-launches-managed-infrastructure-for-autonomous-ai-agents/</link><guid isPermaLink="true">https://aiagentic.news/story/anthropic-launches-managed-infrastructure-for-autonomous-ai-agents/</guid><description>Anthropic has launched a new managed infrastructure platform for building and running autonomous AI agents. The platform, called Claude Managed Agents, provides a hosted environment for developers to build and deploy AI agents. Early adopters of the platform include Notion and Rakuten. The platform is designed to simplify the process of developing and deploying AI agents, making it easier for developers to focus on building AI-powered applications. Anthropic&apos;s new platform is seen as a significant step forward in the development of autonomous AI agents.</description><pubDate>Thu, 09 Apr 2026 09:16:13 GMT</pubDate><category>tools</category><category>anthropic</category><category>ai agents</category><category>managed infrastructure</category><category>autonomous ai</category></item><item><title>Reallocating $100/Month Claude Code Spend to Zed and OpenRouter</title><link>https://aiagentic.news/story/reallocating-100month-claude-code-spend-to-zed-and-openrouter/</link><guid isPermaLink="true">https://aiagentic.news/story/reallocating-100month-claude-code-spend-to-zed-and-openrouter/</guid><description>A user on Hacker News is reallocating their $100/month Claude code spend to Zed and OpenRouter, citing concerns about Claude&apos;s limitations and biases. The user is exploring alternative options for their coding needs, including Zed and OpenRouter. The article highlights the ongoing debate about the limitations and potential biases of AI-powered coding tools like Claude.</description><pubDate>Thu, 09 Apr 2026 08:55:18 GMT</pubDate><category>tools</category><category>claude</category><category>zed</category><category>openrouter</category><category>ai coding</category></item><item><title>Algebraic Structure Discovery for Real World Combinatorial Optimisation Problems: A General Framework from Abstract Algebra to Quotient Space Learning</title><link>https://aiagentic.news/story/algebraic-structure-discovery-for-real-world-combinatorial-optimisation-problems/</link><guid isPermaLink="true">https://aiagentic.news/story/algebraic-structure-discovery-for-real-world-combinatorial-optimisation-problems/</guid><description>A new framework has been proposed to identify algebraic structures in real-world combinatorial optimization problems. The approach leverages abstract algebra and quotient space learning to shrink the search space and improve the chances of finding the global optimal solution. This work has the potential to significantly improve the efficiency of optimization algorithms.</description><pubDate>Thu, 09 Apr 2026 04:00:00 GMT</pubDate><category>models</category><category>algebraic structure</category><category>combinatorial optimization</category><category>quotient space learning</category></item><item><title>MedGemma 1.5 Technical Report</title><link>https://aiagentic.news/story/medgemma-15-technical-report/</link><guid isPermaLink="true">https://aiagentic.news/story/medgemma-15-technical-report/</guid><description>A new technical report has been released for MedGemma 1.5, a medical AI model developed for healthcare applications. The report details the capabilities and features of the model, including high-dimensional medical imaging and anatomical landmark detection. This work has the potential to significantly improve healthcare outcomes and efficiency.</description><pubDate>Thu, 09 Apr 2026 04:00:00 GMT</pubDate><category>industry</category><category>medical AI</category><category>healthcare</category><category>technical report</category></item><item><title>MMORF: A Multi-agent Framework for Designing Multi-objective Retrosynthesis Planning Systems</title><link>https://aiagentic.news/story/mmorf-a-multi-agent-framework-for-designing-multi-objective-retrosynthesis-plann/</link><guid isPermaLink="true">https://aiagentic.news/story/mmorf-a-multi-agent-framework-for-designing-multi-objective-retrosynthesis-plann/</guid><description>A new multi-agent framework, called MMORF, has been developed to design multi-objective retrosynthesis planning systems. The framework uses a team of agents to balance quality, safety, and cost objectives in chemical synthesis planning. This work has the potential to significantly improve the efficiency and accuracy of retrosynthesis planning.</description><pubDate>Thu, 09 Apr 2026 04:00:00 GMT</pubDate><category>models</category><category>retrosynthesis planning</category><category>multi-agent framework</category><category>chemical synthesis</category></item><item><title>Operational Noncommutativity in Sequential Metacognitive Judgments</title><link>https://aiagentic.news/story/operational-noncommutativity-in-sequential-metacognitive-judgments/</link><guid isPermaLink="true">https://aiagentic.news/story/operational-noncommutativity-in-sequential-metacognitive-judgments/</guid><description>A recent study published on arXiv explores the concept of operational noncommutativity in sequential metacognitive judgments. The researchers investigated how the order of evaluations and updates affects metacognitive judgments, demonstrating that order effects can significantly impact cognitive processes. This work has implications for the development of more accurate and reliable metacognitive models.</description><pubDate>Thu, 09 Apr 2026 04:00:00 GMT</pubDate><category>models</category><category>metacognition</category><category>sequential judgments</category><category>noncommutativity</category></item><item><title>PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing</title><link>https://aiagentic.news/story/paperorchestra-a-multi-agent-framework-for-automated-ai-research-paper-writing/</link><guid isPermaLink="true">https://aiagentic.news/story/paperorchestra-a-multi-agent-framework-for-automated-ai-research-paper-writing/</guid><description>A new multi-agent framework, called PaperOrchestra, has been developed to automate the writing of research papers in AI. The framework uses a team of agents to synthesize unstructured research materials into manuscripts, producing more accurate and coherent papers. This work has the potential to significantly improve the efficiency of research paper writing.</description><pubDate>Thu, 09 Apr 2026 04:00:00 GMT</pubDate><category>tools</category><category>research paper writing</category><category>multi-agent framework</category><category>AI research</category></item><item><title>Part-Level 3D Gaussian Vehicle Generation with Joint and Hinge Axis Estimation</title><link>https://aiagentic.news/story/part-level-3d-gaussian-vehicle-generation-with-joint-and-hinge-axis-estimation/</link><guid isPermaLink="true">https://aiagentic.news/story/part-level-3d-gaussian-vehicle-generation-with-joint-and-hinge-axis-estimation/</guid><description>A new method has been proposed to generate 3D Gaussian vehicle models with joint and hinge axis estimation. The approach uses a deep learning-based model to capture the articulation of vehicle parts, enabling more accurate simulation and perception in autonomous driving. This work has the potential to significantly improve the development of autonomous vehicles.</description><pubDate>Thu, 09 Apr 2026 04:00:00 GMT</pubDate><category>models</category><category>3D vehicle models</category><category>autonomous driving</category><category>deep learning</category></item><item><title>Pramana: Fine-Tuning Large Language Models for Epistemic Reasoning through Navya-Nyaya</title><link>https://aiagentic.news/story/pramana-fine-tuning-large-language-models-for-epistemic-reasoning-through-navya/</link><guid isPermaLink="true">https://aiagentic.news/story/pramana-fine-tuning-large-language-models-for-epistemic-reasoning-through-navya/</guid><description>Researchers from Apple have developed a method to fine-tune large language models for epistemic reasoning using the Navya-Nyaya framework. The approach, called Pramana, aims to address the limitations of large language models in systematic reasoning, which often result in hallucinations and unfounded claims. The researchers added irrelevant context to mathematical problems and observed a 65% degradation in performance, demonstrating the potential of the Pramana method. This work has implications for the development of more robust and reliable language models.</description><pubDate>Thu, 09 Apr 2026 04:00:00 GMT</pubDate><category>models</category><category>language models</category><category>epistemic reasoning</category><category>fine-tuning</category></item><item><title>Proximity Measure of Information Object Features for Solving the Problem of Their Identification in Information Systems</title><link>https://aiagentic.news/story/proximity-measure-of-information-object-features-for-solving-the-problem-of-thei/</link><guid isPermaLink="true">https://aiagentic.news/story/proximity-measure-of-information-object-features-for-solving-the-problem-of-thei/</guid><description>A new proximity measure has been proposed to identify information objects in information systems. The measure takes into account the features of the objects and their relationships, allowing for more accurate identification. This work has implications for the development of more efficient information systems and improved data management.</description><pubDate>Thu, 09 Apr 2026 04:00:00 GMT</pubDate><category>industry</category><category>information systems</category><category>data management</category><category>proximity measure</category></item><item><title>ReVEL: Multi-Turn Reflective LLM-Guided Heuristic Evolution via Structured Performance Feedback</title><link>https://aiagentic.news/story/revel-multi-turn-reflective-llm-guided-heuristic-evolution-via-structured-perfor/</link><guid isPermaLink="true">https://aiagentic.news/story/revel-multi-turn-reflective-llm-guided-heuristic-evolution-via-structured-perfor/</guid><description>Researchers have developed a new method for designing effective heuristics for NP-hard combinatorial optimization problems. The approach, called ReVEL, uses large language models to guide the evolution of heuristics through structured performance feedback. This work has the potential to significantly improve the development of more efficient heuristics for complex optimization problems.</description><pubDate>Thu, 09 Apr 2026 04:00:00 GMT</pubDate><category>models</category><category>heuristics</category><category>optimization</category><category>large language models</category></item><item><title>&lt;![CDATA[Gemini gets notebooks to help you organize projects]]&gt;</title><link>https://aiagentic.news/story/cdatagemini-gets-notebooks-to-help-you-organize-projects/</link><guid isPermaLink="true">https://aiagentic.news/story/cdatagemini-gets-notebooks-to-help-you-organize-projects/</guid><description>Gemini, a note-taking and knowledge management tool, has introduced a new feature that allows users to organize their projects across multiple notebooks. The feature, which is currently in beta, enables users to create separate notebooks for different projects and sync them across devices. This move aims to help users manage complex projects and collaborate with others more effectively. Gemini&apos;s notebooks are designed to be customizable and can be shared with others, making it easier to work on projects with team members.</description><pubDate>Thu, 09 Apr 2026 00:06:12 GMT</pubDate><category>tools</category><category>note-taking</category><category>knowledge management</category><category>productivity</category></item><item><title>Conflicting Rulings Leave Anthropic in ‘Supply-Chain Risk’ Limbo</title><link>https://aiagentic.news/story/conflicting-rulings-leave-anthropic-in-supply-chain-risk-limbo/</link><guid isPermaLink="true">https://aiagentic.news/story/conflicting-rulings-leave-anthropic-in-supply-chain-risk-limbo/</guid><description>A US appeals court ruling has left Anthropic&apos;s Claude model in a state of uncertainty, as it relates to the company&apos;s potential use by the US military. A lower court decision from March raised questions about the model&apos;s use, but the appeals court ruling has added complexity to the issue. The conflicting rulings have left Anthropic in a state of limbo, with the company&apos;s future use by the military hanging in the balance. The US military has been exploring the use of AI-powered models like Claude for various tasks. However, the conflicting rulings have raised concerns about the model&apos;s safety and security. The outcome of the case will have significant implications for the use of AI in military applications and the broader industry.</description><pubDate>Wed, 08 Apr 2026 22:27:26 GMT</pubDate><category>models</category><category>anthropic</category><category>claude</category><category>ai</category><category>military</category></item><item><title>AI agent Poke makes setting up automations as easy as sending a text</title><link>https://aiagentic.news/story/ai-agent-poke-makes-setting-up-automations-as-easy-as-sending-a-text/</link><guid isPermaLink="true">https://aiagentic.news/story/ai-agent-poke-makes-setting-up-automations-as-easy-as-sending-a-text/</guid><description>Poke, an AI agent, is making it easier for everyday users to set up automations without needing complex setup, apps, or technical know-how. The service uses natural language processing to understand user requests and handle tasks. This marks a significant shift in making AI-powered automation accessible to a broader audience. Poke&apos;s founders aim to make automation as simple as sending a text message, eliminating the need for technical expertise. The company has already gained traction among users who value convenience and ease of use. By leveraging AI, Poke aims to bridge the gap between humans and technology. As automation continues to play a larger role in our lives, services like Poke will be crucial in making it more accessible. With Poke, users can automate tasks with ease, streamlining their workflows and increasing productivity. This is a promising development in the world of AI-powered automation.</description><pubDate>Wed, 08 Apr 2026 21:05:13 GMT</pubDate><category>tools</category><category>ai</category><category>automation</category><category>poke</category><category>nlp</category></item><item><title>Iran-linked hackers disrupt operations at US critical infrastructure sites</title><link>https://aiagentic.news/story/iran-linked-hackers-disrupt-operations-at-us-critical-infrastructure-sites/</link><guid isPermaLink="true">https://aiagentic.news/story/iran-linked-hackers-disrupt-operations-at-us-critical-infrastructure-sites/</guid><description>Hackers linked to Iran have disrupted operations at several US critical infrastructure sites, highlighting the growing threat of cyber attacks. The attacks have impacted a range of industries, including energy and transportation. The US government has confirmed the involvement of Iranian hackers, who used advanced tactics to breach security systems. The attacks have raised concerns about the vulnerability of critical infrastructure to cyber threats. As the use of connected systems continues to grow, so too does the risk of cyber attacks. The US government has vowed to take action to protect its critical infrastructure, but the threat of cyber attacks remains a pressing concern. This is a wake-up call for companies and governments to prioritize cybersecurity and invest in robust defense systems.</description><pubDate>Wed, 08 Apr 2026 20:49:11 GMT</pubDate><category>industry</category><category>cybersecurity</category><category>iran</category><category>critical-infrastructure</category></item><item><title>John Deere to pay $99M in right-to-repair settlement</title><link>https://aiagentic.news/story/john-deere-to-pay-99m-in-right-to-repair-settlement/</link><guid isPermaLink="true">https://aiagentic.news/story/john-deere-to-pay-99m-in-right-to-repair-settlement/</guid><description>John Deere has agreed to pay $99 million to settle a lawsuit related to its right-to-repair policies. The lawsuit alleged that the company&apos;s restrictions on repairing its tractors and other equipment were unfair and anti-competitive. The settlement is a significant victory for the right-to-repair movement, which aims to give consumers and independent repair shops access to repair information and tools. The settlement is a major step towards greater transparency and competition in the repair industry. John Deere&apos;s policies had been criticized for limiting access to repair information, making it difficult for users to fix their equipment. The settlement is a significant step towards greater access to repair information and tools, and it may set a precedent for other companies in the industry.</description><pubDate>Wed, 08 Apr 2026 20:46:27 GMT</pubDate><category>policy</category><category>right-to-repair</category><category>john-deere</category><category>settlement</category></item><item><title>&lt;![CDATA[OpenAI made economic proposals — here’s what DC thinks of them]]&gt;</title><link>https://aiagentic.news/story/cdataopenai-made-economic-proposals-heres-what-dc-thinks-of-them/</link><guid isPermaLink="true">https://aiagentic.news/story/cdataopenai-made-economic-proposals-heres-what-dc-thinks-of-them/</guid><description>OpenAI has made economic proposals to the US government, but details of the proposals are not publicly available. However, sources suggest that the proposals aim to address concerns around AI safety and regulation. The DC community is abuzz with speculation about the proposals, with some experts weighing in on the potential implications. While some see the proposals as a step in the right direction, others are skeptical about the government&apos;s ability to implement effective regulations. The proposals are a significant development in the ongoing debate around AI regulation. As the use of AI continues to grow, governments and companies must navigate the complex landscape of AI ethics and safety. OpenAI&apos;s proposals are a key part of this conversation, and their outcome will have far-reaching implications for the industry.</description><pubDate>Wed, 08 Apr 2026 20:14:00 GMT</pubDate><category>policy</category><category>openai</category><category>ai-safety</category><category>regulation</category></item><item><title>AWS boss explains why investing billions in both Anthropic and OpenAI is an OK conflict</title><link>https://aiagentic.news/story/aws-boss-explains-why-investing-billions-in-both-anthropic-and-openai-is-an-ok-c/</link><guid isPermaLink="true">https://aiagentic.news/story/aws-boss-explains-why-investing-billions-in-both-anthropic-and-openai-is-an-ok-c/</guid><description>In a recent interview, the CEO of AWS explained that the company&apos;s investment in both Anthropic and OpenAI is not a conflict of interest. He attributed this to AWS&apos;s culture of handling competition, as the cloud giant also competes with its partners. This approach is part of AWS&apos;s strategy to stay ahead in the competitive cloud market. Despite investing in rival companies, AWS continues to compete with them in various areas. The company&apos;s investments in AI and machine learning have been significant, with billions of dollars allocated to research and development. AWS&apos;s approach to competition is a key factor in its ability to stay ahead in the market. The company&apos;s investments in Anthropic and OpenAI will likely continue, with a focus on driving innovation and growth. This is a sign of the evolving dynamics in the tech industry, where companies are investing in multiple areas to stay competitive.</description><pubDate>Wed, 08 Apr 2026 20:09:14 GMT</pubDate><category>industry</category><category>aws</category><category>anthropic</category><category>openai</category><category>cloud</category></item><item><title>Meta’s New AI Model Gives Mark Zuckerberg a Seat at the Big Kid’s Table</title><link>https://aiagentic.news/story/metas-new-ai-model-gives-mark-zuckerberg-a-seat-at-the-big-kids-table/</link><guid isPermaLink="true">https://aiagentic.news/story/metas-new-ai-model-gives-mark-zuckerberg-a-seat-at-the-big-kids-table/</guid><description>Meta&apos;s new AI model, Muse Spark, has been making waves in the tech industry. The model has been performing impressively in benchmark tests, suggesting that Meta is a major player in the AI space once again. This is a significant development for Mark Zuckerberg, who has been under pressure to demonstrate Meta&apos;s AI capabilities. The company&apos;s new model is a testament to its commitment to AI research and development. With Muse Spark, Meta is poised to take on the likes of OpenAI, Anthropic, and Google in the AI race. The model&apos;s performance has been impressive, and it is expected to have a significant impact on the industry.</description><pubDate>Wed, 08 Apr 2026 18:51:09 GMT</pubDate><category>industry</category><category>meta</category><category>muse spark</category><category>ai</category><category>benchmarks</category></item><item><title>Tubi is the first streamer to launch a native app within ChatGPT</title><link>https://aiagentic.news/story/tubi-is-the-first-streamer-to-launch-a-native-app-within-chatgpt/</link><guid isPermaLink="true">https://aiagentic.news/story/tubi-is-the-first-streamer-to-launch-a-native-app-within-chatgpt/</guid><description>Tubi has become the first streaming service to offer an app integration within ChatGPT, the AI chatbot used by millions of users. This move allows users to access Tubi&apos;s content directly from the chatbot, expanding its reach and convenience. The integration is a significant step for both companies, as it demonstrates the potential for AI-powered content discovery and consumption. With this partnership, Tubi aims to tap into the vast user base of ChatGPT and increase its user engagement. The integration is now available for users in the US, with plans for international expansion in the future. This move highlights the growing importance of AI in the content streaming industry. Tubi&apos;s move into ChatGPT is a strategic one, as it seeks to stay ahead of the competition and remain a leader in the streaming market. The integration is expected to bring significant benefits to both parties, including increased user engagement and revenue growth.</description><pubDate>Wed, 08 Apr 2026 18:23:06 GMT</pubDate><category>industry</category><category>tubi</category><category>chatgpt</category><category>streaming</category><category>ai</category></item><item><title>One item purchased, ten emails</title><link>https://aiagentic.news/story/one-item-purchased-ten-emails/</link><guid isPermaLink="true">https://aiagentic.news/story/one-item-purchased-ten-emails/</guid><description>A user on Hacker News has reported receiving an excessive number of emails after purchasing a product, highlighting the issue of spam and over-marketing in the tech industry. The incident is a reminder that companies need to prioritize user experience and respect customer boundaries. The user&apos;s experience has sparked a wider conversation about the importance of responsible marketing practices in the tech industry. As companies continue to expand their marketing efforts, it&apos;s essential that they prioritize user experience and respect customer boundaries. The incident serves as a reminder that companies need to balance their marketing efforts with user needs and preferences.</description><pubDate>Wed, 08 Apr 2026 18:13:22 GMT</pubDate><category>industry</category><category>marketing</category><category>spam</category><category>user experience</category></item><item><title>Meta&amp;#039;s Muse Spark is its first frontier model and its first without open weights</title><link>https://aiagentic.news/story/meta039s-muse-spark-is-its-first-frontier-model-and-its-first-without-open-weigh/</link><guid isPermaLink="true">https://aiagentic.news/story/meta039s-muse-spark-is-its-first-frontier-model-and-its-first-without-open-weigh/</guid><description>Meta has launched Muse Spark, its first frontier model and first without open weights. The new model has been tested independently and has shown impressive results, closing the gap to OpenAI, Anthropic, and Google. The competition is not standing still, and it&apos;s expected that the other companies will respond with their own updates. Meta&apos;s new model is a significant development in the AI space, and it&apos;s expected to have a major impact on the industry. The company&apos;s commitment to AI research and development is clear, and this new model is a testament to that.</description><pubDate>Wed, 08 Apr 2026 18:00:03 GMT</pubDate><category>models</category><category>meta</category><category>muse spark</category><category>frontier model</category><category>ai</category></item><item><title>The US Army Is Building Its Own Chatbot for Combat</title><link>https://aiagentic.news/story/the-us-army-is-building-its-own-chatbot-for-combat/</link><guid isPermaLink="true">https://aiagentic.news/story/the-us-army-is-building-its-own-chatbot-for-combat/</guid><description>The US Army is developing an AI-powered chatbot designed to provide soldiers with mission-critical information in combat situations. The chatbot is being trained on real military data and is intended to help soldiers make quick and accurate decisions in high-pressure situations. The project is a significant step for the US military, which is looking to leverage AI to enhance its capabilities. The chatbot is expected to be used in a variety of scenarios, including combat and humanitarian missions. The US Army is investing heavily in AI research and development, and this project is a key part of that effort. The chatbot is still in the development stage, but it has the potential to revolutionize the way soldiers operate in the field.</description><pubDate>Wed, 08 Apr 2026 18:00:00 GMT</pubDate><category>industry</category><category>us army</category><category>ai</category><category>chatbot</category><category>military</category></item><item><title>I&apos;ve been waiting over a month for Anthropic support to respond</title><link>https://aiagentic.news/story/ive-been-waiting-over-a-month-for-anthropic-support-to-respond/</link><guid isPermaLink="true">https://aiagentic.news/story/ive-been-waiting-over-a-month-for-anthropic-support-to-respond/</guid><description>A user on Hacker News has reported waiting over a month for support from Anthropic, the company behind the popular AI chatbot Claude. The user&apos;s experience highlights the challenges of dealing with AI companies, where support can be slow and unresponsive. The incident has sparked a wider conversation about the importance of customer support in the AI industry. As AI companies continue to grow and expand, it&apos;s essential that they prioritize support and customer service. The incident serves as a reminder that AI companies need to prioritize support to maintain customer trust and satisfaction.</description><pubDate>Wed, 08 Apr 2026 17:44:25 GMT</pubDate><category>industry</category><category>anthropic</category><category>support</category><category>customer service</category><category>ai</category></item><item><title>5 Burning Questions About Elon Musk’s Terafab Chip Partnership with Intel</title><link>https://aiagentic.news/story/5-burning-questions-about-elon-musks-terafab-chip-partnership-with-intel/</link><guid isPermaLink="true">https://aiagentic.news/story/5-burning-questions-about-elon-musks-terafab-chip-partnership-with-intel/</guid><description>Elon Musk&apos;s ambitious chip venture, Terafab, has partnered with Intel, but the details of the partnership are still unclear. The partnership has raised more questions than answers, with many wondering what exactly Intel&apos;s role will be in the venture. The partnership has the potential to be a game-changer in the chip industry, but it&apos;s still unclear what the implications will be. Musk has been tight-lipped about the details of the partnership, fueling speculation and rumors. Intel has also been quiet on the matter, adding to the mystery surrounding the partnership. As the venture moves forward, it&apos;s expected that more information will be revealed, but for now, the details remain unclear.</description><pubDate>Wed, 08 Apr 2026 17:13:33 GMT</pubDate><category>industry</category><category>elon musk</category><category>terafab</category><category>intel</category><category>chip</category></item><item><title>Anthropic’s New Product Aims to Handle the Hard Part of Building AI Agents</title><link>https://aiagentic.news/story/anthropics-new-product-aims-to-handle-the-hard-part-of-building-ai-agents/</link><guid isPermaLink="true">https://aiagentic.news/story/anthropics-new-product-aims-to-handle-the-hard-part-of-building-ai-agents/</guid><description>Anthropic has launched a new product aimed at making it easier for businesses to build AI agents. The new product is designed to simplify the process of building and deploying AI agents, making it more accessible to a wider range of users. Anthropic&apos;s goal is to lower the barrier to entry for businesses looking to adopt AI technology. The company&apos;s new product is expected to have a significant impact on the industry, as it makes it easier for companies to build and deploy AI agents. With this new product, Anthropic is poised to take a leading role in the AI market.</description><pubDate>Wed, 08 Apr 2026 17:00:00 GMT</pubDate><category>tools</category><category>anthropic</category><category>ai</category><category>agents</category><category>tools</category></item></channel></rss>