AI startup Windsurf has been acquired by Cognition after OpenAI’s initial $3 billion bid fell through due to concerns over compatibility with Microsoft’s Copilot. Windsurf’s key leadership, including CEO Varun Mohan, has transitioned to Google, enhancing its talent pool at DeepMind for its Gemini platform. Cognition now oversees all of Windsurf’s intellectual property, products, and operations, with a unique approach to employee compensation, waiving traditional vesting periods to reward them immediately. The goal of Cognition is to integrate Windsurf’s innovative tools into its leading AI coding platform, Devin, facilitating a smarter, more autonomous integrated development environment (IDE). This collaboration aims to transform software development by allowing developers to manage projects dynamically through various integrated functionalities. The acquisition promises an accelerated evolution in coding processes, positioning AI not just as a tool for coding, but as a pivotal resource in software project management.
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Cognition Acquires Windsurf Following Collapse of OpenAI Agreement; Key Executives Transition to Google
UCLA Advisory Committee to Lead the Way in Integrating AI into Education
In Spring 2025, UCLA established the Advisory Committee on AI in Teaching and Learning to navigate the transformative effects of artificial intelligence (AI) on education. According to the 2024 University of California Undergraduate Experience Survey, 66% of UCLA students utilized generative AI tools for tasks like brainstorming and studying throughout the academic year. The committee, comprising faculty, students, and staff, will provide strategic guidance on integrating AI responsibly into the curriculum while emphasizing AI literacy and accessibility.
Led by co-chairs Chris Mattmann and Kem Saichaie, the recommendation includes enhancing resources and training programs via the UCLA Teaching and Learning Center. Committee members, including experts from diverse academic fields, advocate for innovative adaptations in pedagogy to foster critical thinking and creativity. The initiative aims to ensure that AI elevates educational outcomes while addressing potential challenges in evaluation and learning. Stay informed about generative AI resources available through the AI Innovation Initiative and the TLC’s comprehensive guides.
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Transforming AI Coding: The Rise of Agentic CLI Tools
In the evolving landscape of artificial intelligence, software development is witnessing a significant shift from graphical interfaces to command-line operations. Driven by advances in agentic AI, tools like Cognition’s Devin enable developers to interact directly with terminals, executing commands and automating tasks efficiently. This transition reflects a movement toward “vibe-coding,” where programmers articulate high-level goals while AI manages detailed coding tasks. However, challenges persist as studies indicate these AI tools may not uniformly boost productivity and can introduce security vulnerabilities. The industry is actively debating solutions, such as “sandboxed” terminals to mitigate risks. Startups, like Anysphere, are capitalizing on this trend, raising significant funding to transform how software is developed. As major tech companies, including Google, adapt quickly, the future of coding may become more conversational, enabling non-coders to engage with software creation. Balancing innovation with robust ethical frameworks will be crucial to leveraging AI’s full capabilities in development.
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Ask HN: What Strategies Do You Use to Stay Updated on AI Technology?
Stay Ahead in the AI Game!
The rapid evolution of Artificial Intelligence is reshaping the tech landscape. As innovations surge at an unprecedented rate, staying informed is crucial for professionals in the field. Here are effective strategies to keep you in the loop:
- Engage with Communities: Join tech forums and AI groups to share insights and gather fresh perspectives.
- Follow Thought Leaders: Keep an eye on influential voices in AI for groundbreaking ideas and trends.
- Regularly Consume Content: Subscribe to newsletters and podcasts dedicated to AI advancements.
Don’t let the whirlwind of new apps and technologies leave you behind! Equip yourself with the right tools and knowledge to thrive.
Curious about how others are mastering this rapid pace? Join the conversation and share your own tips in the comments! Let’s empower each other in this dynamic journey of AI innovation.
Key Considerations for Deploying AI Tools in Cybersecurity
In a recent discussion, Dr. Sarbari Gupta emphasized the evolving role of AI in cybersecurity, especially in light of proposed budget cuts to CISA. The drastic reduction could hinder the agency’s ability to defend critical infrastructure, highlighting the need for robust regulatory frameworks. Gupta advocates for a balanced approach, combining federal standards with localized regulations to address unique state challenges. While AI integration is essential due to the growing cybersecurity threats and workforce shortages, it must enhance human decision-making rather than replace it. Key recommendations include implementing rigorous AI governance and ensuring data quality. To mitigate risks, organizations should maintain human oversight and secure the AI supply chain. Addressing vulnerabilities in critical infrastructure is paramount to level the playing field against adversaries leveraging AI. The ongoing use of frameworks like NIST can guide organizations in maturing their cybersecurity capabilities, ultimately fortifying defenses against increasingly sophisticated threats.
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Meta Resolves Issue That Risked Leaking Users’ AI Prompts and Generated Content
Meta AI Bug Fixed: A Wake-Up Call for the Industry
Meta has successfully patched a security bug that allowed users of its AI chatbot to view private prompts and responses from others. Here’s what you need to know:
- Bounty Reward: Sandeep Hodkasia, founder of AppSecure, reported the bug and received a $10,000 bounty for his findings.
- Discovery Details: The issue arose when users edited prompts, allowing unauthorized access to AI-generated responses.
- Timeline: Meta deployed a fix on January 24, 2025, and confirmed that there was no evidence of malicious exploitation.
- Market Impact: The incident highlights the ongoing security and privacy challenges tech giants face while racing to innovate in AI.
As AI continues to evolve, the importance of robust security cannot be overstated.
🔎 Stay informed and share this information! Engage with the ongoing conversation about AI security, and let’s push for a safer tech landscape together.
AI-Powered Online Tool Delivers Swift and Precise Diagnosis for Endocrine Cancers
Researchers have launched an innovative AI-powered platform for diagnosing endocrine cancers with over 99% accuracy. This groundbreaking development, unveiled at ENDO 2025, aims to revolutionize cancer care by enhancing early detection and treatment precision. The chief mentor, Elangovan Krishnan, emphasizes that this technology democratizes access to cancer diagnostics, facilitating timely and affordable care globally, especially in under-resourced areas.
To create this advanced platform, researchers employed deep learning architectures—EfficientNets and ResNets—utilizing multimodal datasets from various diagnostic imaging sources. This approach ensures robust generalizability across diverse patient populations. The online platform allows healthcare professionals worldwide to access and validate the model, demonstrating its real-world applicability and rapid processing speed of under one second per image.
Ultimately, this AI innovation represents a transformative step in biomedical technology, promoting health equity and improving patient outcomes in endocrine cancer diagnostics. For more details, visit endocrine.org.
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Revolutionizing Baseball: The Ultimate Stat Search Tool
Unlock the Magic of Baseball with Screwball.AI! ⚾✨
Explore a unique blend of humor and analytics in the world of baseball where every pitch has a story.
What We Offer:
- Real-time MLB Leaderboards: Stay updated with live stats and performance metrics.
- Accurate Data Sources: Our insights come from trusted names like Retrosheet and the Chadwick Bureau Registry.
- Engaging Content: Dive into the nuances of the game, where optical illusions and clever strategies come alive.
Why It Matters to You:
- AI & Tech Insights: Discover how artificial intelligence is revolutionizing sports analytics.
- Community Engagement: Join a community of enthusiasts who appreciate both the art and science of baseball.
Connect with us for the latest updates that blend technology with America’s favorite pastime!
👉 Follow, share, and let’s discuss how AI transforms baseball!
Former OpenAI Interim CEO Secures $2B Investment for New AI Startup with Backing from Nvidia and AMD
Mira Murati, the former CTO and interim CEO of Microsoft-backed OpenAI, has successfully raised $2 billion for her new artificial intelligence startup, Thinking Machines Lab. The funding round was spearheaded by Andreessen Horowitz (a16z), with notable participation from Nvidia. This significant investment highlights the growing interest and potential in cutting-edge AI technologies. Murati’s expertise from OpenAI is expected to drive innovative advancements at Thinking Machines Lab. With a focus on developing sophisticated AI solutions, the startup aims to contribute to the evolving landscape of artificial intelligence. This funding round marks a pivotal moment in the tech industry, emphasizing the importance of AI and attracting attention from major investors. As companies like Nvidia and a16z back this venture, the implications for future AI development are substantial.
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Overcoming Challenges in Deploying AI in Enterprise Environments
Unlocking the Future of Enterprise AI: Bridging Gaps with Credal
Enterprise AI is on the rise, fueled by chat-based LLMs like ChatGPT, but it faces a crucial limitation: isolation. These AI agents need context from various tools and data to be effective.
Key Insights:
- Piecemeal Problem: Many organizations use disparate AI products, leading to inefficiencies. Agents function in silos without access to integrated data.
- The Collaboration Tax: As companies grow, communication becomes cumbersome, hindering productivity. AI has the potential to streamline these interactions if effectively implemented.
- Model Context Protocol (MCP): While MCP serves as a bridge for AI agents to connect with tools, it doesn’t solve governance and security challenges unique to enterprises.
Credal aims to fill this gap by providing an infrastructure layer that supports:
- Authorization: Ensuring agents access only approved data.
- Context Management: Equipping agents with essential organizational knowledge.
- Governance and Auditability: Tracking actions and maintaining compliance.
Embrace the future of AI with Credal! Join the conversation and share your thoughts below!