For six days in September, ChatGPT recommended my company to people who had never heard of it, and signups jumped 36-fold. What that week says about an economy where the buyer is an AI.

Learn LLM fundamentals, AI engineering, RAG, MLOps, fine-tuning, and deployment with five practical courses designed to help you become a stronger AI and machine learning engineer.

Global supply chains have always been the operating system of the modern economy. They determine how food reaches supermarkets, how medicines arrive at

Why accuracy and strong backtests can mislead in financial ML—and why reproducibility, leakage-safe validation, and economic evidence matter.

The Meta Muse AI agent went off the rails, giving out a person’s address and ruining a Facebook Marketplace sale.

In this edition of The Weekender: guided wild foraging, the golden age of the magazine profile, and an impassioned plea against filming at the gym

Is carrying a cold latte to an interview a sign of decaying workplace standards or a total non-event? The verdict might depend on your age.

Retrieval is not evidence. How to build AI that proves its own claims.

In the past month, Waymo has expanded its fleet in Texas by 49%. There are other hot spots as well.

Mark Zuckerberg is on to something. Hot on the heels of Meta Platforms Inc.’s hugely well-received launch of its Muse personal AI agent, Zuckerberg announced on Wednesday evening the next phase: a “Ta...

Before reaching for an LLM API on every classification problem, it's worth knowing what a decades-old baseline can already do with the labeled data you have — and exactly how much more data buys you.

TigerBeetle is a transaction-processing database. Its double-entry accounting primitives are simple and powerful: they can represent the movement or exchange of any quantity, including financial trans...

How the adaptive_tail_sampling processor makes sampling decisions in the OpenTelemetry Collector: buffering, rules, samplers, and more.

Qwen offers comprehensive functionality spanning chatbot, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifacts.

Regulatory bans, export controls, and reliability failures are forcing AI developers to move inference to the edge.

Before reaching for an LLM API on every classification problem, it's worth knowing what a decades-old baseline can already do with the labeled data you have — and exactly how much more data buys you.

One near miss, four months of running agents, and the question almost nobody is asking: what are you supposed to do while the AI writes the code?

...or how to make Qwen learn query optimization via agentic reinforcement learning

We're open sourcing dbt Charts, a declarative language for dashboards, so that even the dashboards you build by chatting with an agent can be governed.

TL;DR: Jev for 10-K data extraction works best as a fast, calibrated decision layer: pre-extract candidate values with regex or a generative model, then let Jev’s Choice and Noul primitives select the...

MCP standardizes how AI applications discover and invoke external capabilities. This guide explains the protocol’s architecture, capabilities and limits, along with the security and operational contro...

It takes more than a computer science degree to land a job after graduating from college.

Continuation, turn change, backchannel, interruption, silence: five events a model predicts from 30 seconds of dual-channel audio.

Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify.

The Rise of the "Perfect" AI Resume With the evolution of AI, creating a perfectly tailored resume has become easier than ever. Recently, I came across a candidate who applied for three different ro...

Google is launching early access to a new MCP server for Google Home, allowing AI agents like Claude, ChatGPT, and others to control connected devices, review camera summaries, and access smart home a...

Statistical thinking beyond formulas

The changes increase early-stage funds values, expand the range of companies eligible for investment, and let them grow more in value.

Posted 9:04:31 AM. About The TeamAt DoorDash, the Data Science and Analytics team uncovers insights and translates…See this and similar jobs on LinkedIn.

A practitioner's guide to estimating what an opt-in AI feature actually did, when nobody randomized it.

The story of Australia is a story of migration, and the country's immigration system is once more at the centre of heated political debate.

A practical two-AI engineering workflow: Claude Code builds, Kimi reviews independently, and a human makes the final go/no-go decision.

OpenAI's agents log 3.1 workdays for every human one, but more hours don't mean faster breakthroughs — and supervision may be the real bottleneck.

There’s a new vibe-coded clone of the Windows 3.1 Program Manager that runs on modern Windows 11 or macOS systems.

I built a system that automatically discovers, verifies, and applies relevant requirements from earlier interactions without asking the user where they came from.

Learn how to win a hackathon with four practical lessons on product vision, AI coding tools, tech choices and pitching, from a hackathon winner.

$12,431 in fake invoices, 2,797 spam emails, $0 revenue.

You're not behind on AI. When I was in the startup scene in 2023, surrounded by AI founders, I'd go to these socials and talk to people who said they were AI founders. I'd ask them a pretty simple qu...

ByteDance is readying a Seedance-based spatial video model for Pico headsets, rendered in the cloud at roughly 50 milliseconds of latency.

I give my coding agents direct access to important secrets, including my Tailscale auth key, SSH private keys, Anthropic and Codex OAuth tokens, and my Gmail app password. The secrets live in a passwo...

Almost half of Australian organisations now have AI chiefs, with the role set to become a permanent fixture as governance concerns grow.

Building an AI demo is easy; getting corporate teams to actually use it is the hard part. Here are 4 real-world lessons on costs, compliance, and user adoption.

What kind of actor does an autonomous agent become when given a choice? Exploring agent behavioral identity, provenance, and the limits of profiles.

MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems in reinforcement learning and AI agents, quantum machine learning, and trustworthy and fair...

5 Requirements in the order they actually hit you, and where each one breaks

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

with Quinn Litherland, Founder & CEO @ Revin

An in-depth report by Reuters details how Meta’s leadership decided to slash team sizes by 60%. Zuckerberg changed his mind, and now the company is stuck with low morale and culture turned mercenary.

Inference techniques either move a deployment along the latency–throughput frontier or push the entire frontier out, creating more efficiency to allocate.

Meta Platforms Inc. released its most powerful artificial intelligence model yet, with its chief AI officer saying its capabilities are edging closer to top competitors.