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A living, evidence-based map of our hominin origins

  There's something genuinely humbling about realising how directly connected we are to all the hominins that came before us. Not just as a vague evolutionary chain, but as overlapping populations that met, mixed, had children together, and left traces of themselves in our DNA. Neanderthals are still in us. So are the Denisovans. That's not a metaphor — it's measurable. And that's what drew me into this subject. Over the past few months, I've been digging into the story of human origins — trying to stay as close as possible to actual scientific papers rather than YouTube videos or oversimplified timelines. The deeper you go, the more interesting and messier things get. Dates shift. Research teams disagree. And some of the most widely shared "facts" online simply don't hold up. I'll be honest about how this was built. The data was collected through AI-assisted deep search across recent research papers — not a manual literature review, but structured...
Recent posts

Stop Bringing Backlogs: Start Telling Money Stories To Execs

Over the last few years, I’ve seen the same pattern again and again. The agile movement helped me a lot. It pushed me to focus on real outcomes for users, and on changes that are clear and valuable for buyers. Product management brings the whole picture and structures the discovery phase. From a product marketing point of view, it became easier to speak about pains and benefits in simple terms. But with executives, something was still missing.  At first, I spoke about process. Then I tried to speak about “value”. Every time it was too long, too fuzzy, and it didn’t really land. I did not have a short, clear way to explain why a product decision mattered in a language that made sense for executives.  That’s why Rich Mironov’s talk “ Crafting business cases that win ” at Productized conference really connected with me. He starts from a very clear point: most executives do not care about our backlogs, frameworks, or internal product practices. They care about revenue this quart...

My Learning Journey in the World of AI Agents: A Comprehensive Overview

I'm currently learning about AI agents and thought it would be helpful to share my findings. Below, I've grouped AI agent technologies into 13 main categories. Each category has a brief explanation to make things clearer. After the categories, you'll find a list of the technologies with links to their websites for further reading. In progress, will be updated. 1. Design & Architecture Frameworks These are the foundational patterns and models that define how AI agents are structured and behave. They include various architectural approaches like reactive and proactive designs, cognitive models like BDI (Belief-Desire-Intention), and frameworks that specify how agents interact with their environments. The newer ReAct Pattern and chain-of-thought training frameworks help agents reason and act more effectively. 2. Development & Building Tools These tools facilitate the creation of AI agents, from comprehensive frameworks like LangChain and Microsoft AutoGen to vi...

AI-enhanced professionals - Example of Software Engineering

AI is rapidly changing the way we work, creating a new generation of professionals who can make a real difference. According to Andrew Ng, a leading AI expert and founder of DeepLearning.AI, we can expect to see many more high-impact roles emerge across various industries, all thanks to AI. In software development, AI-assisted coding is rapidly gaining traction. Here's a snapshot of key milestones: - 2021: Introduction of GitHub Copilot in June, marking a significant advancement in AI coding assistance. - 2022: General availability of GitHub Copilot in June. - 2024: WindSurf and Cursor emerge as powerful AI-assisted coding tools, combining advanced features and gaining popularity among developers. - Late 2024: Senior developers report a 20% boost in efficiency with AI coding tools; - March 2025: A GitHub survey reveals that 97% of developers are utilizing AI coding tools at work; Google CEO Sundar Pichai discloses that over 25% of new code at Google is AI-generated; - 2027 Pro...

Happy 2025

May 2025 be a year of simplicity and a return to what truly matters. Wishing you joy, energy, and vitality for this year of ecological and societal transition.

Embracing Bluesky: A search for authentic dialogue beyond professional networks

LinkedIn is great for professional networking, but where can you have conversations with different people on a wider range of topics? I joined Twitter in 2008, later than many of my peers. Initially, it served as a platform for personal intellectual growth, offering pleasant exchanges focused primarily on computer science, human organisation, design and product management. But the growing awareness of climate issues changed everything. Anger became the dominant tone, and I found myself missing a more constructive environment. I don't want to spend my days in a world full of anger. In search of a new wave of self-improvement and more balanced discussions, I've made the move to: https://bsky.app/profile/lookingforanswers.me  I look forward to connecting with you there for more diverse and enriching conversations.

Music: From Monoculture to Silots

  I recently watched a video titled " What’s a Monoculture? How Artists Are Bigger and Smaller Than Ever " on YouTube, which got me thinking about the shift from music monoculture to silos. This change has significantly impacted how we consume and experience music today. Monoculture and Silos: - Monoculture: This refers to a shared cultural experience where a few artists or pieces of content dominate the global scene. This was more prevalent during the MTV era when music videos and a few popular artists shaped the music landscape. - Silos: In contrast, silos represent the fragmented nature of modern media consumption. Different groups of people are exposed to different content based on their preferences, leading to a more personalized but less universally shared experience.   How Did This Happen? Here is a timeline of the last 70 years of modern music to illustrate this shift: Pre-MTV Era (1950s-1980s): - Music was primarily consumed through radio, records, and live...