Where to Find AI Weekly's Past Issues and Editor's Blog

Updated

AI Weekly keeps both archives on its homepage: the Previous Issues list links to all 641 back issues, and The Editor's Blog collects the editors' standalone analysis posts. Both are reachable from the main navigation without any visible login step. The current issue sits at the top of the page under Latest Issue, so you can read the newest briefing first and then work backward through the archive.

Past issues: what the archive contains

The Previous Issues section on aiweekly.co is a running list of every published briefing, with the most recent ones shown first and a link to the full set ("All 641 issues →"). Each entry is a numbered issue with a headline that summarizes its lead story.

Examples from the visible list:

Issue Headline
#533 Meta tested human callers behind its AI phone agent
#531 AI labs shipped agents before agreeing how to report failures
#530 Applied AI This Week

The Latest Issue block shows the same format for the current edition, including a short summary of the week's theme. For #533, that summary frames the week of September 22–28 around hidden human handoffs inside supposedly automated agent calls — a contractor answering a call, a reviewer seeing a prompt or image, a monitor flagging an agent before a person did.

If you want to follow a specific thread over time, the issue numbers are the practical index: pick the topic, then scan the numbered headlines for repeats.

The Editor's Blog: what it adds beyond the issues

The Editor's Blog is a separate stream of posts written by the editors rather than a ranked news digest. The visible post titles are technical and specific, for example:

  • "RIDE Exceeds Its RL Teacher on All Four Tested Pairs in On-Policy Distillation"
  • "$267M SPAC Deal Anchored to AI-Accelerated Cyber Threats"
  • "Yandex/Together AI: Training-Free AsyncLLM Runs 8 Parallel Coroutines at 552 tok/s on 9B"
  • "Nine Frontier LLMs Average 26.7% Pass Rate on Auto-Built Real-Deployment Agent Benchmarks"

These read as analysis of individual results or deals rather than a daily ranking, so the blog is the place to go when you want the editors' reasoning on one narrow result instead of the day's overall ordering.

Other sections worth knowing

The same page carries two more recurring features that are easy to confuse with the archives:

  • AI News Today / Live Alerts — a running feed of individual stories with source links and timestamps (for example, a Google Gemini 4 Argon alert attributed to blog.google, or a CoreWeave item from convergedigest.com). Each alert shows a relative time such as "7h ago."
  • AI Attention This Week — a weekly index drawn from "11 years of coverage," tracking fastest risers, most-covered entities, biggest fallers, and the dominant theme. The visible snapshot lists Jobs as fastest riser (+113% story volume), OpenAI as most covered (in 17 of the last 20 issues), NVIDIA as biggest faller (−40%), and Tools & capabilities as the dominant theme (47 of 327 tracked stories).

How to actually get there

  1. Open aiweekly.co.
  2. For back issues, scroll to Previous Issues and click through the numbered list, or use the "All 641 issues →" link to see the full set.
  3. For editor analysis, go to The Editor's Blog and use "All posts →" to browse the complete list.
  4. For the newest briefing, read the Latest Issue block at the top before dropping into the archive.

Practical notes and limits

  • The page describes the briefing as read by "54,000+ professionals" and shows a subscribe prompt, but the visible material does not state a price, a paywall, or a login requirement for the archives. Treat archive access as unconfirmed rather than assumed free.
  • Issue numbering and the "All 641 issues" count are the most reliable way to tell how far back the archive goes; the page does not list a start date for the blog.
  • Timestamps on the page are inconsistent in the source (the latest issue is dated 2026-09-28 while a live alert footer reads Oct 1, 2026), so use issue numbers rather than dates when you need a stable reference.