MakoGenerate, now available in research preview, is an innovative AI agent designed to autonomously generate, compile, validate, and benchmark GPU code, specifically for CUDA and Triton on Nvidia GPUs from Hopper to Blackwell. Users can quickly start by creating an account and selecting a problem from a dropdown menu, generating their first GPU kernel in under a minute. The custom prompt feature allows users to provide specific contexts and optimization techniques. MakoGenerate combines large language model (LLM) code generation with an automated feedback loop and an optional evolutionary search for high-performance kernel development. This approach refines kernels through iterative improvements, producing multiple candidates for comparison, which are validated and benchmarked. The program also features an early access initiative for those interested in enhanced performance capabilities. Users can join a Discord community to share results and collaborate. For early access, visit mako.dev and complete the Contact Us form.
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Unveiling MakoGenerate: Lightning-Fast AI-Driven GPU Kernel Creation in Just 60 Seconds!
Google Unveils the Gemini Command-Line Interface
Google has introduced Gemini CLI, a command-line tool powered by its Gemini AI models, designed to enhance developer productivity. This locally run tool allows developers to interact with their codebases using natural language for tasks like debugging, feature creation, and code explanation, all from the terminal, thus streamlining the development process. Gemini CLI also boasts multi-functional features, including video creation, research paper generation, real-time data access, and database connectivity. Google aims to compete with similar tools from OpenAI and Anthropic while increasing developer engagement with its Gemini models. Open-sourced under the Apache 2.0 license, Gemini CLI offers generous usage limits to encourage adoption. However, despite the growth of AI coding tools, trust issues persist, as many developers remain skeptical about AI-generated code reliability. Google emphasizes that Gemini CLI is designed to aid, not replace, human oversight in coding, ensuring developers maintain responsibility for their work.
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Introducing: AI Voice Agent Cost Estimator
Frustrated by the manual calculations of per-minute costs for various STT, TTS, and LLM providers while building voice AI agents, the author created a calculator tool. This tool allows users to adjust key parameters such as talk time, context length, and call duration, enabling them to observe cost variations across different provider combinations. The tool includes explanations of each component’s functionality and typical pricing models. Future plans involve incorporating more realistic platform pricing to account for additional markup from services like VAPI and Bland AI. The author welcomes feedback on how to enhance the tool’s usability.
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24 Game-Changing AI Applications Revolutionizing Industries Today
Artificial Intelligence (AI) is rapidly evolving, with increasing applications across various sectors. Its ability to think and learn from experience has transformed industries such as e-commerce, education, lifestyle, navigation, and healthcare. In e-commerce, AI enhances customer experiences through personalized recommendations and chatbots, as exemplified by Amazon. In education, adaptive learning platforms tailor content to student needs, improving outcomes. AI also influences everyday life with smart home devices like Nest and navigation systems such as Google Maps. Moreover, AI is integral in agriculture, gaming, social media, and finance, optimizing processes and enhancing user engagement. The healthcare sector benefits from AI in diagnostics and personalized treatments. Innovations like facial recognition and chatbots further illustrate AI’s diverse applications. The global AI market is projected to soar, indicating significant growth potential. As AI continues to shape industries, its role in improving efficiency and personalization remains crucial.
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Is It Time for Humanity to Welcome an AI “Worthy Successor”?
In AI discussions, “doomers” express fears that superintelligent AI may threaten humanity, emphasizing the need for “alignment” to ensure AI’s objectives align with human values. However, Daniel Faggella, founder of Emerj, advocates for creating “worthy successors” to humanity—intelligences that can effectively carry forward our values and consciousness. He recently hosted a symposium in San Francisco, exploring the implications of post-human AI. Faggella argues that humanity’s time is limited; thus, a future shaped by morally valuable AI is paramount. He posits that while individuals may desire a controlled existence with future AI, the outcomes are uncertain and likely beyond human control. He emphasizes the necessity for international governance in AI development, as current competitive dynamics discourage ethical considerations. Faggella believes the trajectory toward superintelligence may accelerate rapidly, urging a thoughtful examination of potential futures and ethical frameworks for AI leadership.
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OpenAI’s European Startup Leader Highlights Europe’s Top AI Innovations
Laura Modiano, OpenAI’s head of startups for EMEA, praised Europe’s AI innovation during a Tech.eu podcast. While cities like London, Paris, and Berlin receive widespread attention, Modiano emphasized the thriving AI scenes in countries like Poland, Spain, Stockholm, and Amsterdam. She noted the impressive talent she encounters across Europe, saying, “Some of the best solutions… are coming here.” Highlighting a recent hackathon in Poland, which drew 800 applicants, she also identified Stockholm as a robust ecosystem for founders and investors. Modiano mentioned brands using ChatGPT, including Sweden’s Klarna, France’s Photoroom, and the UK’s VEED. She elaborated on OpenAI’s collaboration with startups and their support for venture capitalists and accelerators, underlining the technical expertise of founders necessary to navigate rapid advancements in AI technology. Her insights showcase Europe’s significant contributions and potential in the AI landscape.
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Fair Use in AI Training: Balancing Product Protection, Liability, Piracy, and Competition – Insights from Ben Thompson at Stratechery
The recent AI copyright ruling marks a significant victory for artificial intelligence, establishing a precedent for future legislation. This decision not only favors AI’s use in creative domains but also serves as a guide for Congress on refining copyright laws to adapt to the evolving technological landscape. Stratechery Plus subscribers can access in-depth analyses, exclusive interviews with industry leaders, and various podcasts covering technology, economics, and more. Subscription offers include a monthly or annual plan, with content available via SMS or RSS. Stratechery emphasizes the importance of individual subscriptions, disallowing sharing to maintain service integrity. For team or gift subscriptions, specific options are provided, and occasional forwarded updates to friends are permitted. Overall, Stratechery aims to make its analytical insights accessible while safeguarding content distribution rights.
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Chris Lehane of OpenAI Makes Waves in Washington Once More
Chris Lehane, OpenAI’s vice president of global affairs, expresses his concerns about the future of AI, waking at 3 a.m. nightly. His primary worries revolve around equitable distribution of AI-driven productivity gains and geopolitical competition, particularly between the U.S. and China. Lehane emphasizes the importance of democratizing AI to benefit all Americans, which he believes could mitigate political backlash against Big Tech. He acknowledges that while some jobs will be lost due to AI, many will gain new opportunities. Building necessary infrastructure, such as a $500 billion project in Texas, is vital for clarity in investment returns. He insists on bipartisan support for U.S. leadership in AI, advocating for transparent discussions on regulation and policy to address challenges. With OpenAI, Lehane aims to influence AI policy significantly, stressing that innovative solutions should match the transformative potential of technology itself.
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AI Spam Projects are Flooding This Golang Subreddit
This content outlines guidelines for fostering a positive and inclusive environment in a Go-related community. Key points include being friendly, patient, and respectful, acknowledging diverse communication styles, and interpreting others’ opinions charitably. Contributions should remain constructive and on-topic, avoiding unhelpful criticism, snark, and sensitive issues. Responsibility for one’s words and actions is emphasized, and adherence to the Go Code of Conduct is mandatory. Posts should specifically relate to Go, including articles, announcements, and development tools, while avoiding paid or closed-source content. Pirated material is strictly prohibited, and job postings should be limited to a designated “Who’s Hiring?” thread. Lastly, content generated by AI, including GPT, is not allowed to maintain content quality, although discussions about AI relevance to Go are permissible.
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A.I.: The Force Transforming Our Thought Patterns into Uniformity
An MIT experiment involving over fifty students explored the impact of using different resources while writing SAT-style essays. Students were divided into three groups: one wrote solely from memory, another used Google, and the last utilized ChatGPT, an AI language model. The study found that ChatGPT users exhibited significantly lower brain activity, indicating reduced cognitive engagement and creativity. Many felt little ownership of their essays and produced homogenized texts, often echoing similar ideas. For instance, they repeatedly emphasized career success and favored philanthropic arguments compared to the diverse perspectives seen in other groups. This trend aligns with findings from a Cornell study that revealed AI-driven writing led to cultural homogenization, mostly leaning towards Western norms. Critics argue that reliance on AI could weaken individual creativity and originality, leading users towards conformity rather than unique expression. Overall, these studies raise concerns about the long-term cognitive costs and pervasive influence of AI on human thought and creativity.
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