The Chicago musical explores blame-shifting and moral lens in a world of greed and murder. Research shows humans tend to blame AI less when it appears more human-like, with programmers bearing the heaviest burden.
Summary: Part I of Sutton and Barto's book covers fundamental Reinforcement Learning techniques, while Part II focuses on using deep neural networks for approximate solutions. The upcoming series will benchmark algorithms in Gridworld environments to identify the most effective methods.
Chris Pelkey, deceased in 2021, speaks on forgiveness in AI video fed by his sister. Despite his death, Pelkey 'appeared' in court to confront his killer.
Amazon Bedrock Evaluations introduces LLM-as-a-judge technique for evaluating models and RAG systems, enabling custom metrics for tailored assessments. Organizations can now systematically evaluate models and applications with automated, human-like quality at scale, using built-in or custom metrics.
Business leaders often have high expectations for AI, but face limited results. To truly leverage AI, understanding its core capabilities - Think, Know, Act - is crucial. AI evolves from an assistant to a strategic collaborator when it can reason, learn, and take meaningful actions towards business goals.
Alan Turing's codebreakers cracked the Enigma code with "Bombes" machines in WWII. Modern computing could easily decipher it now.
Text classification is vital for various applications. Large language models offer efficiency, but custom ML models may provide higher accuracy.
Summary: This article clarifies the misconceptions around backpropagation by explaining the total-derivative and introducing the vector chain rule to simplify complex calculations in neural networks. The implementation of vector calculus in backprop equations optimizes the computation of gradients for all weights in a layer simultaneously, enhancing efficiency in training models.
OpenAI backtracks on for-profit transformation, nonprofit arm to control ChatGPT. Decision made after input from civic leaders and attorneys general.
AI labs are preparing for rogue AIs colluding against humans, but the real threat is AI making humans obsolete in all aspects of life. AI could replace humans economically, culturally, and socially, leaving us wondering our place in a world where AI does everything better.
Amazon faces ethical responsibility to prevent chatbot-written books on sensitive topics like managing ADHD. AI-generated works flood marketplace with misleading information, from travel guides to mushroom foraging books.
Tech billionaires like Musk and Bezos have always had a far-right libertarian core, not a sudden shift in ideology. Silicon Valley's venture capitalists and CEOs have long embraced a quasi-religious belief in tech salvation, despite outward political affiliations.
The future of Data Science lies in Generative AI development. AI Agents can now do more than chat, like scheduling appointments and searching the internet.
A SaaS saved 79% on cloud bill and reduced latency from 1.9s to 140ms in 48 hours by optimizing queries and documents. They fixed N + 1 waterfalls, tamed unbounded cursors, and split jumbo docs, slashing costs from $15,284 to $3,210/mo.
MIT researchers developed LinOSS, a stable AI model inspired by neural oscillations, outperforming existing models in long sequence analysis. LinOSS offers efficient predictions for various fields, from health-care analytics to financial forecasting, bridging biological inspiration with computational innovation.