Over-engineering smothers momentum. Get it to prod yesterday. Imperfection? Own it. Tweak with real folks in the wild. Feature flags and sanity checks? Priceless. Theory's just noise until reality weighs in... read more  

Gemini 2.5 Pro Preview (I/O edition)is here, flexing its muscles in code editing and web app creation. This newcomer muscles its way to the top of theWebDev Arena Leaderboard. As if that wasn't enough, it scores a jaw-dropping84.8%on VideoMME for video analysis. And guess what? The price tag hasn’t .. read more  

A.I. algorithm incorrectly predicted Italian Cardinal Parolin as next pope; new model analyzes voting trends and predicts U.S. Cardinal Prevost as a compromise candidate. Model may improve with inclusion of more political and geographical data, but current analysis offers insights into potential pap.. read more  

Meet the"Wait" token trick—a clever nudge that sharpens a model's reasoning. It mirrors OpenAI's o1-preview magic using only 1,000 examples. And guess what? Not a speck of reinforcement learning in sight... read more  

Only25%of AI projects actually deliver returns on investment. Yet,61%of CEOs are ready to double down and scale their AI agents. Surprisingly,64%jumped in headfirst, investing before the payoff even showed its face... read more  

Netflixhas given its recommender system a makeover with a foundation model similar toLLMs. The goal? Turbocharge efficiency and scalability by making member preferences the star of the show. They turned user interactions into tokens, kind of like BPE in NLP, and employedsparse attentionto zero in on.. read more  

Duke University reveals a startling twist: AI tools like ChatGPT don't just supercharge work; they also slap users with unfair labels.Lazy. Replaceable. These biases stick to everyone, demographics be damned. Even when productivity soars, fellow workers and bosses often question AI users' competence.. read more  

OpenAI's having a change of heart. Picture a reluctant flipper resting on the high-dive, finally plunging into open waters. They're ready to unleash an“open” language model, thanks to pressure from competitors likeDeepSeekandMetawho have been living the open-source dream. CEO Sam Altman has conceded.. read more  

Alibaba researchers developed ZeroSearch to train large language models (LLMs) to search for information without using real search engines, reducing costs by up to 88%. ZeroSearch outperformed Google in experiments, demonstrating the potential for AI systems to simulate search and reduce reliance on.. read more  

Google's dominance in search is fading due to AI, leading to a decline in traffic for content creators, threatening the web's sustainability... read more