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Murilo and Vitale look at REA, the open source MCP server that lets Claude Code or Codex reverse engineer any app, and what clean-room clones like ArtCraft mean for the software you pay for. Then GPT-6.1 Terra and OpenAI's bet on computer use (Vitale would rather use tool calls and MCP), Kimi K3.1 and Anthropic's new distillation defenses, PHP2Shell, the decade-old PHP bug exploited before the patch was out, and how the Claude Code team reviews code with agents, risk-based approvals and a merge queue.

Links and references

REA: reverse engineer anything with agents

https://github.com/morluto/rea

ArtCraft, open source Adobe alternatives written in Rust

https://getartcraft.com/

https://github.com/storytold/photocraft

Introducing GPT-6.1 Terra (OpenAI) | 2026-10-26

https://openai.com/index/introducing-gpt-6-1-terra/

GPT-6.1 Terra on the Artificial Analysis index

https://x.com/ArtificialAnlys/status/2114781865811063259

Strengthening our defenses against distillation attacks (Anthropic) | 2026-10-12

https://www.anthropic.com/news/distillation-defenses

PHP2Shell: AI uncovers critical RCE vulnerabilities affecting 70% of the Internet (Wiz) | 2026-10-21

https://www.wiz.io/blog/php2shell-php-rce

PHP2Shell: Exploitation Attempts and Remediation Trends (Wiz) | 2026-10-27

https://www.wiz.io/blog/php2shell-exploitation-so-far

How the Claude Code team does code review | 2026-10-15

https://claude.dev/blog/solving-code-review-at-anthropic/

Code Review in Claude Code (docs)

https://code.claude.com/docs/en/code-review

Introducing Claude Tag (Anthropic) | 2026-06-23

https://www.anthropic.com/news/introducing-claude-tag

#datatopics #ai #datanews

Watch on YouTube: https://youtu.be/-gLAuzMxQ4A

Chapters

(0:00) Welcome

(2:24) REA: reverse engineer anything with agents

(7:01) Clean rooms, Compaq, and ArtCraft

(12:03) If cloning is cheap, what is left to sell?

(15:34) GPT-6.1 Terra and computer use

(19:42) Computer use vs tool calls and MCP

(23:28) Kimi K3.1 and Anthropic's distillation defenses

(26:26) PHP2Shell: a decade-old bug in PHP itself

(34:39) How the Claude Code team does code review

(42:40) Claude Tag and keeping a shared mental model

(48:48) Wrap-up

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Murilo and Vitale go through the latest in data and AI: Jev, TypeSafe's System One model built for decisions instead of text (and Laya, the open weights model that showed up three days later), NVIDIA's Open Agent Safety Platform with OpenShell and Sentry after the OpenAI agent swarm that broke into Hugging Face, Microsoft's APM for pinning the skills and MCP servers your coding agents use, and OpenAI DevDay, where dots, GPT-6.1 Sol and a $500 Pro tier point to a consumer bet while Anthropic sticks with enterprise.

Links and references

Introducing System One Models & Jev (TypeSafe AI) | 2026-09-15

https://typesafe.ai/blog/introducing-system-one-models-and-jev

Diogo Almeida's talk on what RLHF gets wrong (AI Council)

https://www.youtube.com/watch?v=o-y1HJ6buGQ

Jev in Pydantic AI

https://pydantic.dev/docs/ai/models/typesafe/

Laya, the open weights alternative (Convai Innovations)

https://huggingface.co/convaiinnovations/laya

Jev vs Laya: Hosted API or Open Weights? | 2026-09-24

https://huggingface.co/blog/sora-2/jev-vs-laya-hosted-api-or-open-weights-2026-guide

NVIDIA Launches Open Agent Safety Platform | 2026-09-28

https://nvidianews.nvidia.com/news/open-agent-safety-platform

NVIDIA Open Agent Safety Platform: A Reference for Continuous In-Silicon Agent Monitoring (NVIDIA Developer)

https://developer.nvidia.com/blog/nvidia-open-agent-safety-platform-a-reference-for-continuous-in-silicon-agent-monitoring/

NVIDIA OpenShell

https://github.com/NVIDIA/OpenShell

Anatomy of a Frontier Lab Agent Intrusion (Hugging Face) | 2026-07-27

https://huggingface.co/blog/agent-intrusion-technical-timeline

The Hugging Face incident and the road ahead (OpenAI) | 2026-08-26

https://openai.com/index/hugging-face-incident-and-the-road-ahead/

APM, Agent Package Manager (Microsoft)

https://github.com/microsoft/apm

https://microsoft.github.io/apm/

DevDay 2026 Recap (OpenAI) | 2026-09-29

https://openai.com/index/devday-2026-recap/

Introducing dots (OpenAI)

https://openai.com/index/introducing-dots/

Introducing GPT-6.1 Sol (OpenAI)

https://openai.com/index/introducing-gpt-6-1-sol/

OpenAI adds a $500 Pro subscription, nerfs its $200 tier (Engadget) | 2026-09-29

https://www.engadget.com/2272106/openai-adds-dollar500-pro-subscription-nerfs-its-existing-dollar200-tier/

#datatopics #ai #datanews

Watch on YouTube: https://youtu.be/PHt_ybt_Lrs

Chapters

(0:00) Welcome

(1:11) Jev and Laya: models for decisions, not text

(7:42) NVIDIA's agent safety platform and the Hugging Face incident

(10:31) OpenShell and Sentry: policies in software and in silicon

(15:23) APM, a package manager for agent skills and MCPs

(20:58) OpenAI DevDay: dots, Pro tiers, GPT-6.1 Sol

(27:01) OpenAI goes consumer, Anthropic stays enterprise

(31:39) Wrap-up

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How do you build an AI strategy that delivers value today while preparing your organization for what comes next?
In this episode of Datatopics, we sit down with Sophie Van Nevel, Director Data Products & AI at TVH, to explore how a global spare parts company approaches that challenge: with a clear strategic vision, close collaboration across the business and room to adapt as AI evolves.
Sophie explains how TVH maps AI opportunities across core business capabilities and involves department leaders in turning those opportunities into priorities. We discuss balancing visible results with the foundations needed to scale.
We also explore the human side of AI adoption, from TVH’s “Forwards with AI” program and hands-on transformation labs to the changing role of AI throughout the software development lifecycle. Transparency runs through the conversation: how do you help people experiment, share what they learn and understand the boundaries as tools and capabilities change?
A practical conversation for anyone working on enterprise AI strategy, adoption or enablement.
Enjoyed the episode? Share it with a colleague working on AI in their organization.

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Murilo and guest Vitale go through the latest data and AI news: DeepSeek's open coding harness where every capability is a plugin, running near-frontier models on your own MacBook, Claude watermarking its own text to meet the EU AI Act, the argument that the code is just the byproduct of understanding, and what Anthropic found when agents start working together.

Links and references

DeepSeek's coding harness

https://deepseek.com/harness/en/

How Claude's text watermark works (Anthropic)

https://www.anthropic.com/news/claude-text-watermark

Code is the byproduct

https://yagmin.com/blog/code-is-the-byproduct/

Anthropic on multi-agent systems

https://www.anthropic.com/research/multiagent-systems

ds4, running DeepSeek locally (antirez)

https://github.com/antirez/ds4

#datatopics #ai #datanews

Watch on YouTube: https://youtu.be/fippNXe70_M

Chapters

(0:00) Welcome and guest intro

(2:14) DeepSeek's coding harness, everything is a plugin

(9:24) Running frontier models on your own machine

(11:14) Claude watermarks its text, and the EU AI Act

(22:33) Is the code just a byproduct?

(30:18) Codex vs Claude, reverting to 4.8

(32:41) When agents work together, and collude

(42:57) Wrap-up

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Google still drives most search traffic, but the rules of discoverability are changing fast. Today we sit down with Cyril, a client data partner at Dataroots, to unpack what search engine optimization actually is, why the first results page captures the vast majority of clicks, and how small changes in content clarity can shift who finds you and when.

We get practical about classic SEO fundamentals: on-page SEO that makes services crystal clear for the right persona, off-page SEO signals like backlinks that build authority, and the technical SEO basics that quietly decide whether you rank at all. Page speed, mobile-first indexing, and user experience are not “nice to have” anymore, and we talk through how tools like Google Lighthouse can reveal what is slowing a site down and where to focus first.

Then we move into the 2026 reality of AI search and generative engine optimization (GEO). If ChatGPT or Google Gemini can answer a question instantly, traffic can drop, but trust can rise if your brand gets cited. We explain how to write content that LLMs can use: add a TLDR summary, include FAQ sections, publish structured documentation where it makes sense, and build real authority across the web through credible mentions. If you care about SEO keywords, AI citations, and turning discoverability into revenue through better funnel data, this one is for you.

Subscribe for more, share this with a teammate who owns your website, and leave a review if it helped. What part of SEO or GEO feels most confusing in your company right now?