2025 Recap: The Year the Old Rules Broke
Analysis
Key Takeaways
“DeepSeek broke the scaling thesis. Anthropic won coding. China dominated open source.”
“DeepSeek broke the scaling thesis. Anthropic won coding. China dominated open source.”
“"Year in Review" feature that will show you a bunch of stats - like how many messages you sent to the chatbot in 2025 - as well as give you an AI-generated pixel art-style image that encompasses some of the topics you talked about this year.”
“The experience includes awards, poems, and pictures referencing your year in chat.”
“The errors included getting dialogue wrong and incorrectly claiming a scene was set 100 years earlier than it was.”
“The article itself doesn't contain a specific quote, as it's an analysis of the title and source.”
“The article's core focus is the comparison of AI agents against Google reCAPTCHA v2.”
“OpenAI’s recapitalization strengthens mission-focused governance, expanding resources to ensure AI benefits everyone while advancing innovation responsibly.”
“The article likely contains direct quotes or paraphrased statements from Greg Brockman regarding the capabilities and implications of GPT-5 and Codex in the context of agentic coding.”
“Put on your sneaking suit, let some strange woman shoot some crap into your arm, and soak your cardboard boxes in urine. It’s time to fight your brother through various states of undress.”
“N/A”
“”
“”
“I'd love a recap of the tech for someone that remembers how ANNs work but not transformers (ELI5?). Why is ChatGPT so much better, too? and how big of a weight network are we talking about that it retains such a diverse knowledge on things?”
“In today's conversation, Zack recaps advancements across the vast fields of Machine Learning and Deep Learning, including trends, tools, research papers and more.”
“My conversation with Jennifer begins with a recap of that talk. After that, we shift our focus to some of the practices she helped develop and implement at Walmart around the measurement and management of machine learning models in production, and more generally, building agile processes and teams for machine learning.”
“The article is a recap of Machine Learning Scale 2017.”
“A Defcon talk discussed the application of AI to Hearthstone.”
Daily digest of the most important AI developments
No spam. Unsubscribe anytime.
Support free AI news
Support Us