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The author shares their predictions for the direction of AI agent work in the second half of 2025, discussing emerging trends and potential developments.
AI Engineer jobs have surged 143% in 2026, and some recommended free books are listed.
OpenAI Signals data shows that ChatGPT usage is deepening and expanding globally, with users sending more messages and trying more capabilities over time, while the user base becomes more diverse and global.
This article discusses the future evolution of AI engineering, focusing on changes in AI development practices and AI platforms.
A web tool that visualizes trends in Hacker News comments and stories over 18 years, allowing users to compare topics and discover historical patterns.
An analysis of AI model size scaling trends from 2023 to 2031, published on LessWrong.
The article argues that AI agents will shift from workflow automation to becoming a discovery layer, choosing tools, vendors, and sources for users, making agent visibility critical for founders. The author introduces Rankpad as a solution to this challenge.
Discussion on the emerging 'loop engineering' trend in AI agents, based on research and conversations with students, founders, and startups, suggesting new ways of working with agents will lead to step-change capabilities.
An analysis of declining token prices for AI models despite new releases like GLM 5.2 and Kimi 2.7, suggesting possible diminishing returns from expensive models.
The article presents graphs showing that the peak of local LLM releases was last year, contrary to the perception that this year had more releases.
The article examines the trend of people labeling any obviously altered image or video as 'AI generated,' questioning whether the term is becoming a generic label for digital manipulation that predates AI.
Social media platforms have shifted from personal communication to entertainment hubs dominated by short videos and content creators, leading to a decline in active posting among users.
The 'together tech' wave emphasizes in-person social experiences and human-centric technology, contrasting with the dominant AI fundraising trend. The TechCrunch Equity podcast discusses startups like Board and the broader shift toward more human technology.
Garry Tan argues that we are entering a golden age for just-in-time software development, implying a shift towards more efficient and responsive software creation.
A vague discussion about current technological trends or where we are heading.
An analysis of the expected state of AI in 2026, covering key trends and developments.
This paper analyzes temporal and geographical trends in AI terminology in clinical trials from clinicaltrials.gov, using a hybrid human-AI approach with GPT-5.5. It finds increasing AI-related trials, with China and the US leading, and discusses the viability of hybrid screening for human-AI interaction classification.
A survey of 47 new AI agent products launched in early 2026 identifies five key ways they differ from the previous generation, including compound systems, voice-native interfaces, and vertical specialization.
The article argues that AI is shifting from chat-based interfaces to autonomous background agents that operate without human hand-holding, marking a transition from prompting an assistant to managing a digital assembly line.
The article argues that the focus in AI is shifting from generation to execution, with startups building autonomous departments such as finance, physical multimodal monitoring, and agentic supply chains, moving beyond simple chatbots toward AI-driven organizations.