Topic
Each model release is sold as a paradigm shift. Most aren't. These issues separate genuine capability gains from marketing, and trace how the economics of training, inference, and labor displacement are actually playing out.
7 issues in this topic
GPT-5 launched quietly last month with benchmarks that set new records across every standard evaluation. The coverage focused on capabilities. What it missed wa…
Read issue →Nobody announced it. There was no press release. But over the past 18 months, a structural shift has happened in how large companies operate their knowledge-wor…
Read issue →The demos are impressive. An AI agent researches a topic, writes a report, sends emails, and books meetings, all autonomously. The reality in production is much…
Read issue →Every major enterprise has an AI strategy. Most have enterprise agreements with OpenAI, Microsoft, or Google. Usage data tells a different story: the gap betwee…
Read issue →Drug discovery has historically been brutally slow and expensive. Getting from target identification to approved drug takes 10-15 years and over a billion dolla…
Read issue →The conversation about AI infrastructure focuses on chips, data centers, and capital expenditure. The constraint that will actually determine the pace of AI bui…
Read issue →Two years ago, AI coding assistants were autocomplete on steroids. Today, they write entire functions, debug complex issues, and generate test suites. The softw…
Read issue →Stay on this topic
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