newsletter
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Anthropic has released new models, Cloude Opus 4 and Sonnet 4, claiming exceptional coding and reasoning capabilities. Are they as impressive as advertised? We include a post that evaluated Claude 4 Opus in this issue. The results show promise, though some persistent issues remain. It’s also encouraging to see Stripe’s AI efforts improving fraud detection…
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In this article, Rohit Krishnan explores the challenges and considerations of working with large language models (LLMs). Having developed several LLM applications from the ground up, I couldn’t agree more with his key observations: achieving perfect verifiability of LLM output is unattainable, increased AI usage in applications leads to more hallucinations, and trial and error…
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This issue of AI newsletter includes Meta’s LlamaFirewall for AI security, WhatsApp’s Private Processing for enhanced privacy, and OpenAI’s retraction of the sycophantic GPT-4o update. Concerns over AI reliability pitfalls and privacy issues with ChatGPT’s location identification are also highlighted. On the technology front, we cover DARPA’s AI Cyber Challenge and advancements in jailbreaking resistance…
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As Agentic AI becomes ubiquitous across industries, ensuring cybersecurity amidst the rise of AI and non-human identities is crucial. In addition, while it becomes very likely that companies might begin hiring virtal AI employees soon, how do we make sure that those fully autonomous virtual employees are safe and secure? This week, we delve into…
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Last week was my kids’ Spring Break, so I paused the newsletter to take a short family vacation. I hope you all enjoyed the Spring weather too. One of this week’s intriguing analyses concerns the concept of Intelligence Explosion. This idea suggests that, thanks to AI, the same amount of technical advancement between 1925 and…
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“AI 2027” is a captivating read that offers a speculative month-by-month timeline of anticipated AI advancements and their potential global impacts. Despite its speculative nature, the book is grounded in substantial research and analysis of past events and likely future developments up to 2027. Its writing style, akin to a science fiction novel, feels realistic.…
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The topic of MCP has been gaining traction recently. Essentially, it’s a protocol enabling AI models to discover and interact with external tools and data. OpenAI refers to it as the “USB port” for AI and has announced support for it, despite being developed by its competitor, Anthropic. Anthropic also offered insights into the inner…
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LLM scraping poses a growing problem for websites that do not effectively restrict content access. Alarmingly, some scrapers ignore robots.txt files, which specify nonscrapeable areas, resulting in server overloads, delays, and outages for genuine users. As AI models grow larger and more data-hungry, respecting content providers’ rights becomes increasingly vital (FOSS Projects Struggle with AI…
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Recently, major AI companies have introduced new small models: Microsoft’s Phi-4-mini and Phi-4-multimodal, Alibaba’s QwQ-32B, and Google’s Gemma 3. Benchmark tests show these smaller models offer performance nearly equivalent to their larger counterparts, such as o1-mini, and are multi-modal. With portable devices becoming more AI-capable, it’s likely we will see more localized AI applications soon,…
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Last week, OpenAI, Meta, and xAI all released new models. However, OpenAI’s newest GPT-4.5 model has been met with mixed reviews due to its high cost and user feedback. Meanwhile, Barto and Sutton received the Turing Award for their pioneering work in reinforcement learning, which has significantly impacted the field of AI. In the realm…
