Anthropic AI R&D acceleration warning & Backlash against AI doom rhetoric - AI News (Nov 7, 2026)

What if the AI labs are already using AI to make themselves move twice as fast — and the most important evidence is still blacked out? We'll get into that in a moment. Welcome to The Automated Daily, AI News edition. The podcast created by generative AI. I'm TrendTeller, and today is November 7th, 2026. On the agenda: a fresh warning sign on AI timelines, a pushback against doom talk, a reality check on the market sell-off, how developers are actually wiring up their coding agents, bots hammering library websites, and the FAA finally saying goodbye to the floppy disk.

Anthropic AI R&D acceleration warning

Let's start with the story we've been following on AI accelerating its own development. A new analysis, drawing on a public METR report and Anthropic's own Responsible Scaling Policy, argues that Anthropic may already have crossed the threshold its policy describes as dramatically accelerated progress due to AI. The key claim: capabilities progress at the company appears to have run roughly twice as fast over the past year as the year before, with AI automation the most likely driver. The author points out that a doubling of overall progress could mean individual researchers are being boosted far more, perhaps something like a tenfold labor uplift. If that compounds, the next speedup could arrive quickly. The piece warns the industry isn't ready for that, citing weak protection of model weights and secrets, thin monitoring, and unresolved alignment work. And the frustrating part, the author says, is that the most telling evidence sits behind redactions.

Backlash against AI doom rhetoric

Not everyone buys that framing. A separate essay pushes back hard on AI doom warnings, arguing that extinction-level predictions from researchers and executives, including Anthropic staff and CEO Dario Amodei, are delivered with plenty of confidence but little evidence, no clear timelines, and no credible mechanism. The author suggests slowing AI down would carry real economic costs, possibly nudging the U.S. and global economy toward recession, and hints that safety rhetoric can conveniently support regulation that hurts competitors. Whatever side you're on, it's a sign of a growing backlash against the safety narrative and the policies built on it.

AI sell-off hits chip stocks

Staying with an ongoing thread, the AI-driven market sell-off. As of November 6th, the S&P 500 was only about 6 percent below its record close. But the Nasdaq was down 11 percent, and U.S. chip stocks had fallen nearly 36 percent, roughly in line with their Covid-era plunge. Historically, about four out of five S&P pullbacks of this size never turned into a full 20 percent crash. So the broad market looks bruised rather than broken. The caveat: tech-heavy indexes have a history of slow recoveries, so semiconductor investors may be in for a longer wait.

How developers run AI agents

Now to how people actually build with AI. A review of a big Hacker News thread from November 4th, with more than 660 comments, tallied what developers really use. Claude Code came out on top, followed by Codex, and plenty of people mix vendors or run open-weight models like DeepSeek and Qwen. The more interesting finding is the shared playbook: running several agents in parallel, having a fresh second model review the work, sending planning to strong models and grunt work to cheaper ones, sandboxing agents in containers or VMs, and writing a clear spec and definition of done before any code gets written. The takeaway is that the edge comes from orchestration and guardrails, not from picking a single best model.

Secure identity for AI agents

On that safety-boundary theme, an open-source project called Agentic Identity Broker tackles a growing headache: letting AI agents act on a user's behalf without handing over their passwords. It serves as a consent and identity layer, issuing scoped, delegated access and storing tokens in a secure vault, with a focus on failing safely when something looks off. It's still in active development but already runs in production for several internal MCP servers. As agents take on more real work, this kind of plumbing is becoming essential.

AI scrapers overwhelm library websites

Next, a less welcome side effect of the AI boom. University libraries and cultural institutions say heavy traffic from AI companies and third-party scrapers is slowing and even crashing their websites. The bots go after digitized academic, historical, and government collections because the material is high quality and easy to reach. Some catalogues have gone offline or locked out real users. The scrapers often rotate through thousands of IP addresses and ignore the rules meant to limit them. Libraries are adding CAPTCHAs and logins, but those hurt human visitors too and don't stop the worst offenders. The concern is that years of work making knowledge freely available could be undone.

FAA retires floppy disk systems

And finally, a modernization story with a retro twist. The FAA says Transportation Secretary Sean Duffy has started replacing floppy disk-based systems still used in air traffic control. A new information display system will take over from four 1980s-era tools used across more than 400 facilities, giving controllers faster and more secure access to operational data, while cutting costly repairs and manual workarounds. The first sites include Atlantic City, Nashville, Rochester, and data hubs in Atlanta and Salt Lake City, with 435 locations planned by the end of 2028. It's progress, and also a reminder of just how old some critical infrastructure really is.

That's it for today's Automated Daily, AI News edition. From AI possibly speeding up its own research to libraries fending off bots and air traffic control leaving the floppy disk behind, it was a day of both acceleration and catching up. Links to all stories can be found in the episode notes. I'm TrendTeller — thanks for listening, and see you tomorrow.

Anthropic AI R&D acceleration warning & Backlash against AI doom rhetoric - AI News (Nov 7, 2026)

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