Tech CEOs Think AI Will Let Them Be Everywhere at Once
Mark Zuckerberg and Jack Dorsey have different visions for how to use AI for management purposes, but both imagine a system of heightened control.
2026
Scenario Planning for AI and the “Jobless Future”
We all read it in the daily news. The New York Times reports that economists who once dismissed the AI job threat are now taking it seriously. In February, Jack…
Chinese tech workers are starting to train their AI doubles–and pushing back
Tech workers in China are being instructed by their bosses to train AI agents to replace them—and it’s prompting a wave of soul-searching among otherwise enthusiastic early adopters. Earlier this…
OpenAI Scales Trusted Access for Cyber Defense With GPT-5.4-Cyber: a Fine-Tuned Model Built for Verified Security Defenders
Cybersecurity has always had a dual-use problem: the same technical knowledge that helps defenders find vulnerabilities can also help attackers exploit them. For AI systems, that tension is sharper than…
Legal Tech – We Have an ARR Problem
Legal tech companies, and especially VC-fuelled startups, have an ARR problem. At its core is how you define ‘Annual Recurring Revenue’. Things have come to …
Will Humans Live Forever? AI Races to Defeat Aging
It’s a concept that both scares and delights: the possibility that aging might not be an inevitable human fate, as was once assumed. It seemed like the kind of thing…
Moonshot AI and Tsinghua Researchers Propose PrfaaS: A Cross-Datacenter KVCache Architecture that Rethinks How LLMs are Served at Scale
For years, the way large language models handle inference has been stuck inside a box — literally. The high-bandwidth RDMA networks that make modern LLM serving work have confined both…
OpenAI’s existential questions
On the latest episode of Equity, we discuss OpenAI’s latest acquisitions and whether they address “two big existential problems” for the company.
How TabPFN Leverages In-Context Learning to Achieve Superior Accuracy on Tabular Datasets Compared to Random Forest and CatBoost
Tabular data—structured information stored in rows and columns—is at the heart of most real-world machine learning problems, from healthcare records to financial transactions. Over the years, models based on decision…
Meet OpenMythos: An Open-Source PyTorch Reconstruction of Claude Mythos Where 770M Parameters Match a 1.3B Transformer
Anthropic has never published a technical paper on Claude Mythos. That has not stopped the research community from theorizing. A new open-source project called OpenMythos, released on GitHub by Kye…