AI Weekly Tracks Six Months Of Model Releases. Most Will Slip. Obviously.
AI Weekly published editorial odds on which AI models will actually ship before February from OpenAI, Google, Meta, Anthropic, and several Chinese labs. The analysis sorts public commitments, reported testing, training status, and unresolved gates into three categories: likely to ship, probably slipping, and worth changing plans for. One item is described as the cleanest test of whether a world action model can graduate from a demo reel.
This teaches roadmap literacy, which is the ability to distinguish marketing from shipping. The mechanism is gate analysis. Every model release passes through gates: training completion, safety testing, regulatory review, and performance validation. Unresolved gates predict delays better than enthusiasm. The reader who learns to count gates stops being surprised by missed deadlines.
AI Weekly compiled the odds based on public commitments, reported testing, training status, and unresolved gates across OpenAI, Google, Meta, Anthropic, and Chinese labs. The newsletter offers topic specific channels including Generative AI, Machine Learning, and AI in Business.
- Pick one AI model you currently use and search for its official release timeline or blog post announcing the next version. Expected outcome: you find a stated commitment with a vague date.
- Search for any reports about training status, safety testing, or regulatory review for that model. Expected outcome: you identify whether gates are resolved or still open.
- Write down your own odds of it shipping on time based on the gates you found. Expected outcome: you practice roadmap literacy and calibrate your own expectations.