Developed by TypeSafe AI, Jev is a specialised decision-making AI model. The company was founded by former OpenAI researcher Diogo Almeida, a co-inventor of RLHF and InstructGPT, alongside Erik Gafni and Sasha Sheng. Jev replaces standard conversational text - the typical output of LLMs such as Claude and ChatGPT - with raw probability scores tailored for software workflows. Because it skips generating bulky text outputs, it operates dramatically faster and at a fraction of the token cost of frontier models. ...

I recently came across an interview with the late Stanford neurosurgeon James Doty that reframed something many dismiss as vague or unscientific: manifestation. Doty reframes “manifestation” not as wishful thinking, but as a disciplined practice rooted in self-agency and neuroscience. He dismantles the idea that outcomes are delivered by some external force, and instead shows how intentions can be embedded into the subconscious through structured practices: writing them down, speaking them aloud, visualising outcomes, and deliberately reshaping internal narratives that otherwise hold people back. ...

Context For the mid-career professional, the field of AI governance can appear opaque, often obscured by technical jargon and rapid regulatory changes. However, when viewed through the lens of traditional risk management, the requirements become clear. This article deconstructs the vague concept of ‘governance’ into six tangible skill domains. Whether you are looking to pivot your career into AI oversight or are building a team to manage these risks, understanding this breadth of necessary skills is the first step toward competence. ...

I’ve been expanding my homelab lately — and one of the biggest upgrades is adding Tailscale, a rare tool that’s elegant, pragmatic, and just works. Tailscale turns the Zero Trust concept into something you can actually use. It creates a mesh network between your devices, using WireGuard tunnels for encryption (the data plane), and a cloud-based control plane for device coordination and key management. Each device proves its identity before it can talk to another — verify explicitly, assume breach, and minimise implicit trust. That’s Zero Trust in action, even at home. ...