29 May 2026
"AI killed coding" is the headline of the year. The data tells a stranger, more specific story: it
isn't coding that's dying, it's the way people used to get into it — and the productivity case for
cutting those jobs is shakier than the companies cutting them admit.
29 May 2026
Anthropic released Claude Opus 4.8 on 28 May 2026 — a measured update that the company itself calls "modest but tangible". Here is what is new versus Opus 4.7, what it costs, and how it compares to GPT-5.5 and Gemini 3.1 Pro.
26 May 2026
Most AI agents forget everything the moment you close the session. Hermes Agent, the open-source project from Nous Research, is built around the opposite principle: an agent that compounds what it learns, writes its own skills, and gets meaningfully better the longer you use it. This is the complete guide to what it is, how it works, how to deploy it, and how to get the best from it.
26 May 2026
In 72 hours in May 2026, Anthropic launched 10 pre-built finance AI agents, a $1.5 billion joint venture with Goldman Sachs and Blackstone, and live demos with JPMorgan's CEO. OpenAI responded the same week with its own enterprise deployment firm and a PwC partnership. The race to become the default AI layer for financial services has begun — and the stakes are unlike anything in AI's history.
26 May 2026
On 25 May 2026, Pope Leo XIV published a 42,300-word encyclical on artificial intelligence alongside the co-founder of Anthropic. He signed it on the 135th anniversary of the foundational Catholic text on workers' rights during the Industrial Revolution — because the parallel is deliberate and precise. Here is everything it says, and everything it means.
26 May 2026
In the space of five days, SpaceX filed a public S-1 disclosing that Anthropic pays it $1.25 billion a month, OpenAI filed a confidential S-1 targeting a $1 trillion debut, and Anthropic revealed it is heading for its first quarterly operating profit. The private AI era is ending. Here is everything you need to understand about what comes next.
20 May 2026
In the space of 48 hours, Anthropic announced a $900 billion valuation round, acquired a company that builds the infrastructure for its rivals, and topped CNBC's Disruptor 50. Meanwhile a jury threw out Elon Musk's lawsuit against OpenAI in under two hours. And Google I/O launched its most AI-dense keynote ever. Here is everything that happened this week.
20 May 2026
Google's I/O 2026 keynote delivered its most AI-dense announcement slate ever. Gemini Spark is a 24/7 personal agent that runs on your behalf while your laptop is closed. Gemini 3.5 Flash outperforms the previous flagship model at four times the speed. And AI Ultra just dropped to $100 a month. Here is everything that was announced, explained.
18 May 2026
Four in five university students now use AI tools for their coursework, according to the Stanford AI Index 2026. Most are using the wrong ones for what they actually need. This guide organises the best student AI tools by the specific problem they solve — not by which ones have the most impressive marketing.
14 May 2026
A paper published at NeurIPS 2025 by Google Research researchers introduces "Nested Learning" — a new paradigm that argues the boundary between a model's architecture and its training algorithm is an illusion. This article breaks down what the paper actually says, what it means for current transformer-based AI tools, whether it will change how you use them, and what the honest limitations are.
14 May 2026
A research team at Tsinghua University has built a foundation model trained on 12 billion candlestick records from 45 global exchanges. It outperforms every previous approach on price forecasting and volatility prediction. Here is what it is, what it genuinely can and cannot do, and why the broader trend it represents matters more than the model itself.
13 May 2026
The average knowledge worker now saves between five and ten hours per week using AI tools — but most people are using the wrong ones for their actual bottlenecks. This guide cuts through the noise and matches the best AI productivity tools to the specific problems they actually solve.