







Gartner Research on Emerging Tech: Navigating the Risks and Opportunities of Synthetic Data for AI Solutions
Can Synthetic Training Data Survive Its Own Regulation?
Synthetic training data has recently emerged as the quick fix to two different problems: the lack of high-quality training data, and the need to avoid using personal data in training to stay within the boundaries of privacy legislation. Gartner predicts that by 2026 75% of all enterprises will use generative AI to create synthetic training data, a huge increase from less than 5% in 2023.1 Moreover, Gartner predicts that by 2035, solutions that use synthetic data for training will grab three quarters of all end-user spending on enterprise AI software.2 Training data that only a few years ago was the subject of several research papers is now carrying the weight of huge enterprise systems.

Where does the rigor go? Research software and the future of trustworthy science.
Generative AI now makes it dramatically easier to produce something that looks like research: analysis code, figures, literature reviews, even whole pap…

AI is Creating Peak Software, Media is the Best Analogy
Let's learn more about the world's most important manufactured product. Meaningful insight, timely analysis, and an occasional investment idea.

In spite of hype, many companies are moving cautiously when it comes to generative AI | TechCrunch
Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.

The risks of advanced AI
Could working on AI risks be the highest-impact career choice today? Explore why AI may trigger rapid, dramatic societal change — and what you can do about it.

70 years of AI hype
Quoting from Olivia Guest et al. (2025) "Against the Uncritical Adoption of AI Technologies in Academia."

The AI Information Warp - REAL Resistance
Klaudia Jaźwińska, Aliya Bhatia, and Yanick Kemayou come together to answer: What happens when a small collection of AI companies start colonising the truth?

Synthetic Data Statistics 2026: Market Size, Adoption Rates & Industry Trends - Axis Intelligence
Synthetic data market hits ~$750M in 2026. We tracked CAGR, adoption rates, regional share, and industry breakdowns across 10+ primary sources. Synthetic Data Statistics 2026 Update.

“Wait, not like that”: Free and open access in the age of generative AI
The real threat isn’t AI using open knowledge — it’s AI companies killing the projects that make knowledge free

Divergent Futures in a Damaged Territory: The Rise of Data Centers and Water Conflicts in Santiago de Chile
As promises surrounding artificial intelligence (AI) and data-driven decision-making increasingly shape debates on innovation and technological development in Chile, data centers have emerged as cr...

A Short Guide to Data Strikes and Conscious Data Contribution in the Context of 2026 Frontier AI
Back to the basics of data leverage.

Firms like Meta and A16z admit having to pay billions for training data would ruin their generative-AI plans as they fight new copyright rules
Meta, Google, Microsoft, and Andreessen Horowitz are trying to keep AI developers from having to pay for copyrighted material used in AI training.
The Age of Wonders and Terrors
Twenty years ago, when the idea of AI taking over the world in our lifetimes still struck most of us as the unconstrained fantasy of those who knew too much science fiction and too little science, …
A Collectivist, Economic Perspective on AI
Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word ``intelligence'' is being...

People know AI is risky. They just don’t know what to do about it. | TrendLife Blog
New international research from TrendLife reveals a wide gap between AI adoption and awareness of AI-powered threats.
Measuring the Impact of Early-2025 AI on Experienced Open-Source...
Despite widespread adoption, the impact of AI tools on software development in the wild remains understudied. We conduct a randomized controlled trial (RCT) to understand how AI tools at the...
