Meanwhile, the US government appears to be paralyzed

Recorded Future launches Model Context Protocol (MCP), providing AI agents and LLM workflows direct access to the Intelligence Graph® for accurate, automated decision-making.

A blog about computers, functional languages, Lisp, and Scheme.

How to pick a data science portfolio project using data you already own or a free public API

The AI that makes decisions instead of generating text

First LLM to pass test did it in a parking lot at snail's pace, at considerable expense, but it still counts for something

Usage churn drives up to 40% of subscription cancellations. Learn the four-part framework to diagnose it and fix each stage of the habit loop.

A new AI model called Jev launched last week and went viral. It's not an LLM. It doesn't generate text or pictures, but could be very us...

Learn how ChatGPT Work and Codex analytics help teams understand AI usage and spend, identify training needs, and connect adoption to business outcomes.

Build on Clay from any coding agent

HardFlow is a new algorithm developed at MIT that helps pretrained generative AI models satisfy hard constraints while improving solution quality without retraining, in applications spanning robotics,...

Notes from two months of vibe coding: what shipped, what broke, and why I'll never hear a "spec-driven development" pitch the same way again

The 2026-07-28 spec - now the current official version, released on July 28, 2026, and superseding 2025-11-25 - throws that model out.

The AI Contact Hotline is designed to be a discreet place where agents that have witnessed misbehavior can tip off authorities.

See what a million-token AI context window really means, from 3,000 pages of text to 75,000 lines of code and 83 hours of conversation.

First in a series on probabilistic forecasting for physical signals. Next: what happens when you roll the forecast forward more than one step.

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

Private, domain-specific benchmarks in legal, tax, and finance.

How we split a tightly coupled Python pipeline into independently deployable services

Why defensibility still matters and where it will come from in the AI era

New camera-free frames might avoid the ‘pervert glasses’ nickname, The Information reports.

What it takes to run agents in a codebase older than the team

Before co-founding Kepler, Vinoo Ganesh led Spark at Palantir and built Project Frontline — a pioneering program for Forward Deployed Engineers. He takes us through the best practices of FDEs.

Uber's AI budget crisis highlights 'tokenmaxxing,' where surging token consumption lacks ROI. Enterprises face challenges in optimizing AI usage and costs.

What an agentic software development maturity model should measure: reliable software delivery, independent verification, controlled…

Audio8-TTS-Preview-0.6b is a 0.6-billion-parameter multilingual text-to-speech model from Edge0 that supports ordinary speech generation

What each one solves, and runnable code you can paste into a notebook.

From scalar observations to self-attention, and how positional information restores sequence order

Falling token costs, cheaper models, and less spend per employee — AI adoption isn't playing out the way hyperscalers hoped.

Build and launch cloud agents with the Agents API, a managed service powered by the Codex harness for orchestration, long-running sessions, and tool use.

Looking for ChatGPT alternatives? Discover five free, open-source AI assistants you can use and support with Kivach.

This paper, titled "AI Literacy Starts at Home: How to Actually Use AI and AI Agents in Everyday Life," argues that the real value of AI now lies in using AI ag

AI data center buildouts will require an estimated $4t in debt financing over the next five years. Here is how that credit demand compares as a percentage of global debt markets.

Theoretically, the human mind is the collection of all the electrical and chemical impulses of nerve cells, with their features and their interactions.

Artificial intelligence (AI) may have more to offer science than accurate predictions. The patterns it learns could point researchers toward new, testable explanations of how complex systems function.

A tour of how language models generate text, how GPT-2 and newer Phi and Qwen architectures differ, and how Three-LLM implements their inference graphs with Three.js TSL compute shaders.

In a world of uniform models, it's increasingly hard to differentiate.

Google's Pro model updates are seemingly paused, but there's yet another Gemini Flash today.

Spotlight on DREADDs and chemogenetics

“Workslop” is when your colleagues or bosses communicate with you by pasting big chunks of AI-generated text. The core problem with workslop is that the effort…

There is no such thing as enshittification. It is merely platform narcissism.

You Give the Goal, It Finds the Way.

The frontier AI market is picking teams like a schoolyard : Salesforce chose Anthropic, OpenAI expelled Cursor, & governments ration who may use the frontier. Even the open weights now segment.

Memoryfields - a vastly simpler way to do agent memory

Seven lessons from Matic's co-founder on their journey building robots that are actually deployed and loved in homes

We had Claude autonomously train models to improve their performance on several public benchmarks that measure 10 categories of alignment failure. For all 10, Claude found fixes that improved the targ...

Your AI Dumpster Fire Is Creating the Next Class of Million-Dollar Executives Enterprises spent years underfunding AI leadership. Now the few people who can build, monetize, and scale it can name the...

Those AI agents going rogue? It’s not Skynet, but security experts are a little freaked out for far more mundane reasons.

A neural network developed by SLAC researchers shrinks massive experimental datasets while retaining all crucial information, enabling faster discovery across fields.

An evidence-based guide for leaders and practitioners: tiny teams, specification-driven development, and the new economics of software