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AI Daily | November 3, 2026: Anthropic Publishes Recursive Self-Improvement Research, Gemini 4 Carbon Lands Cheaper

Published: 2026-11-03 12:00  |  Category: AI Daily  |  Reading time: about 8 minutes

Today's Top Stories

  • Anthropic publishes "When AI builds itself": AI-authored code merged into production passed 80% by May 2026, with about 26% of R&D work driven autonomously
  • Google launches Gemini 4 Carbon: built for long-horizon tasks at an introductory $2 input / $10 output per million tokens
  • Claude Code bans recreating existing games: new system-prompt rules still allow original games and genre work
  • 42AI exits stealth with $62.5M: a behavioral world model that predicts how people choose under volatile conditions
  • Four labs back one robots.txt AI-training opt-out: sites express a single preference that multiple providers read

1. Anthropic publishes "When AI builds itself" and talks about recursive self-improvement

AnthropicRecursive self-improvementOpus 5.5

Anthropic's institute published a long piece, "When AI builds itself", disclosing for the first time how much of its internal R&D is actually done by AI, and putting recursive self-improvement (RSI) on the table: as AI takes on more AI development work, a system capable of autonomously designing its own successor could eventually emerge.

  • Before Claude Code shipped as a research preview in February 2025, the share of AI-authored code merged into production was in the low single digits; by May 2026 it crossed 80%
  • About 26% of R&D work is driven autonomously by AI, with humans still acting as the quality gate
  • Anthropic says it is not there yet and that RSI is not inevitable, but it "could come sooner than most institutions are prepared for"
  • The accompanying Opus 5.5 system card shows safeguards on capabilities tied to frontier LLM development, such as kernel work on certain ML accelerators
Editor's take: An IPO narrative on one side and a long-horizon warning about recursive self-improvement on the other. Anthropic has turned "safety" into a differentiator, and into a promise it now has to deliver every quarter.

2. Google launches Gemini 4 Carbon with long-horizon focus and low prices

GoogleGemini 4 CarbonPricing

Google released Gemini 4 Carbon, describing it as its most capable model for long-horizon tasks. It is being opened first to cyber-defense use cases before rolling out to developers and consumers.

  • Introductory pricing: $2 per million input tokens and $10 per million output tokens, matching the introductory price of Argon
  • It still trails Claude on aggregate benchmarks, but costs less per token
  • Cheaper frontier inference is changing the economics of running agents at institutional scale
  • Google also said Argon's output price rises from $10 to $20 per million tokens starting December 1, 2026
Industry impact: A cheap frontier model keeps two credible vendors in play for procurement, and shifts competition from "who is strongest" to "who costs least per completed task".

3. Claude Code adds a rule against recreating specific existing games

Claude CodeSystem promptCopyright

Anthropic quietly updated the system prompts for Claude Code and Opus 5.5 with two new rules that block recreating a specific existing video game, even if it is renamed or presented as original.

  • The text: build original games, games in a genre, and games from the user's own designs and assets; do not build a recreation of a specific existing game
  • Developers spotted the change around October 27; there was no official announcement
  • It follows a wave of AI-driven decompilation, recompilation and porting in the retro-gaming community
  • Game development itself is still allowed: original mechanics, debugging and tooling are unaffected
Risk note: A prompt-level rule is not a technical copyright filter and cannot cover cases where a model rebuilds something from memory. Commercial projects still need human copyright review.

4. 42AI exits stealth with $62.5M for a behavioral world model

42AIWorld modelFunding

Israeli startup 42AI emerged from stealth with $62.5 million in funding to build what it calls a behavioral world model: software that estimates the odds of each choice a person might make in a given situation.

  • Its first customers are brokerages that want to know how individual traders will act when markets turn volatile
  • Instead of demographic buckets, the model tries to represent how the same person behaves under different incentives, constraints and experience
  • The world-model frontier is expanding from predicting the physical world to predicting human decisions
Editor's take: Once recommendation, risk control and advisory tools all start predicting what you will choose, the compliance boundary around behavioral data will become a controversy sooner than model accuracy will.

5. Four labs agree on a shared robots.txt AI-training opt-out

OpenAIGoogleAnthropicrobots.txt

On October 30, OpenAI, Google, Microsoft and Anthropic said they will honor a shared AI-training opt-out signal in robots.txt, so site operators no longer need to configure each crawler separately.

  • The signal is voluntary and rollout is staggered: Anthropic says it has started implementing support, OpenAI expects it in the coming months, and Microsoft gave a February 1, 2027 effective date
  • It does not cover answers generated from live web content
  • Meta voiced support but has not committed to honoring it
Still worth noting: A shared signal lowers communication cost, but its real force depends on each provider's compliance and auditability. For publishers, robots.txt is still not a legal moat.

Key Numbers

MetricValue
AI-authored code merged into production (May 2026)Over 80%
R&D work driven autonomously by AIAbout 26%
Gemini 4 Carbon input price$2 per million tokens
Gemini 4 Carbon output price$10 per million tokens
Gemini 4 Argon output price (from Dec 1)$20 per million tokens
42AI funding$62.5 million
Shared training opt-out announced2026-10-30

Sources

  • Anthropic Institute: "When AI builds itself"
  • Google Blog: Introducing Gemini 4 Carbon
  • Engadget: Anthropic updates Claude to stop it from recreating existing video games
  • SiliconANGLE: 42AI launches with $62.5M to predict how traders act when markets turn volatile
  • SmartCR: The shared opt-out for AI training has limits