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This article provides an overview of AI in drug discovery, discussing its current applications and future directions.
The article explores whether pursuing a career focused on AI agents is a viable and promising path in 2026, offering advice for those considering the field.
This article explores whether the future of AI-assisted art will be determined by prompting skills or by the ability to afford more tokens, questioning the democratizing promise of AI as compute costs become a barrier.
The speaker suggests that agentic commerce, where AI agents manage buying and selling, is beginning to become a reality.
Shubham Saboo tweets about 2026 being the year of agentic computers, quoting Greg Isenberg's analogy of agentic era components (model as CPU, harness as OS, etc.), encouraging builders to leverage agents like Hermes, OpenClaw, Claude Code, and Codex.
The article discusses heuristics for lab robotics, covering different types of robots (box vs. arm), the cost-benefit of automating protocols, and the future directions in translation, hardware, and intelligence layers. It draws on insights from multiple experts in the field.
A Twitter user argues that people underestimate AI because they see it as just a chatbot, but the real impact will come when AI agents autonomously handle tasks like booking, emails, and paperwork.
A tweet predicts that AI product managers hired in 2026 will focus on self-healing agent loops.
The article discusses the trend of AI being integrated directly into operating systems like Apple Intelligence, Copilot, and Gemini, questioning whether standalone AI tools will survive or be absorbed into larger systems.
2026 could be the year AI agents mature from simple chatbots to autonomous systems that proactively complete tasks, marking a significant shift in how AI gets work done.
The author argues that AI-generated content is becoming harder to distinguish from human-written content and predicts that soon most online content will involve AI without users thinking twice.
Explores whether AI-based tools will become standard for small to medium businesses in setting pricing strategies, analyzing market trends and customer behavior.
The article argues that dexterous hands, rather than walking locomotion, will be the defining advancement in the next era of robotics.
The article discusses the massive $725 billion capital spending battle in AI cloud infrastructure, questioning whether the market is becoming unmanageable and highlighting inductive analysis as the next major battleground.