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Send us Fan Mail 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

Send us Fan MailGoogle 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?