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A suminagashi ink marbling photograph with concentric indigo and gold rings echoing a smaller version of the same pattern, representing the two levels of recursion in Harness2

Google Open-Sourced Harness2: Agents That Rewrite Their Own Harness With No Labels

Posted on October 21, 2026October 21, 2026 by Clara Milicent

Google open-sourced Harness2, which rewrites an agent’s prompts, tools and memory on unseen tasks with frozen weights and no labels. What it changes.

A sepia engraving style illustration of a padlock with one broken chain link beside a stack of documents, representing the compromised update channel that delivered a backdoored Rank Math PRO build

Rank Math PRO Shipped A Backdoored Update: Who Is Affected And The Recovery Order That Matters

Posted on October 21, 2026October 21, 2026 by Clara Milicent

Copies of Rank Math PRO 3.0.123 downloaded on 15 or 16 October contained malware. Who is affected, what to check, and the recovery order that matters.

An abstract dark editorial illustration of stacked translucent layers with a single bright vertical light, representing the compressed checkpoint and benchmark gains in DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017: What The Pareto Upgrade And Open Search API Change For Builders

Posted on October 17, 2026October 21, 2026 by Clara Milicent

DeepSeek V4.1 Flash 1017 adds benchmark gains under the same model name and MIT weights, and opens Search and Fetch at 0.75 dollars per 1,000 calls. What changes.

A flat lay photograph of wooden cubes in a branching pattern connected by red thread, showing the artifact graph that agentic meta-reasoning builds as a run progresses

Agentic Meta-Reasoning Shows Why More Compute Does Not Fix A Badly Directed Agent

Posted on October 16, 2026October 16, 2026 by Clara Milicent

Meta’s agentic meta-reasoning separates control from execution, and its ProgramBench results show agents given more compute often fail to use it well.

An ink and watercolour illustration of several thin lines converging into a single vessel, with one line passing through a fine mesh gate, representing the routes by which AI agents reach the semantic layer and the routes that bypass it

Your AI Agents Are Not Reading Your Semantic Layer: Where The Business Context Actually Comes From

Posted on October 16, 2026October 16, 2026 by Clara Milicent

Most enterprises build a governed semantic layer while their agents read documents, raw queries or pasted context instead. What that gap costs and how to close it.

An isometric cutaway illustration of a container with a grid fence holding a small shape inside and a separate chip outside it, showing the sandbox and supervision layers that Nvidia OpenShell enforces for AI agents

Nvidia OpenShell Moves The Agent Boundary Outside The Agent: What It Actually Enforces

Posted on October 16, 2026October 16, 2026 by Clara Milicent

Nvidia’s OpenShell enforces agent permissions at the kernel and network level, with a policy prover that checks changes before they apply. What it does and does not cover.

A two colour screen print of a small teal rectangle being passed into a large coral box, representing the repository delivery that the Content Offer Pilot pays for

Google’s Content Offer Pilot Now Buys Code: What Developers Should Check Before Agreeing

Posted on October 16, 2026October 16, 2026 by Clara Milicent

Google’s Content Offer Pilot pays for proprietary code and non-public content. What Google confirms, what it leaves open, and what to check before you agree.

A felt textile illustration of a tall plum block behind a stitched fence with a smaller mustard block in front, showing that Muse Wonder Full sits inside a subscription while Muse Wonder is sold by the token

Meta’s Muse Wonder Returns Meta To The Frontier, With One Model You Cannot Buy By The Token

Posted on October 16, 2026October 16, 2026 by Clara Milicent

Meta’s Muse Wonder costs $4 per million input tokens through the Meta Model API, while Muse Wonder Full stays inside a $50 or $200 Muse Code subscription. What to check.

A cut paper diorama of four rising platforms with a small figure at the top and a guardrail beside it, showing the four levels of AI agent autonomy that agentic AI governance has to cover

Agentic AI Governance Is The Missing Layer: What Three 2026 Studies Found

Posted on October 15, 2026October 16, 2026 by Clara Milicent

Gartner expects 40 percent of enterprises to demote or decommission autonomous agents by 2027. Deloitte finds only 21 percent have mature agentic AI governance.

$A linocut print of a small dense cube beside a large outlined cube, showing what Haiku 5.5 delivers at a fraction of the size$

Claude Haiku 5.5 Cuts Prices Up To 90 Percent: What The Cheap Tier Of AI Now Does

Posted on October 15, 2026October 15, 2026 by Clara Milicent

Anthropic’s Claude Haiku 5.5 costs 10 cents per million input tokens under 100k, with cache reads at a cent and an adjustable effort setting. What it changes.