Auto-aggregated global tech articles · 853 posts
Secure your platform in the AI era with continuous identity intelligence. Learn how.
Teams worry that telling customers they're talking to AI will hurt engagement. Not true. Learn what to say, when, and what to avoid instead.
You can now use AI Gateway budgets to set a dollar spending limit for each user on your team. The limit covers spend from every API key attributed to the user, along with their app tokens. After it's reached, AI Gateway rejects new requests until the budget resets or is increased.This is useful for
The AI SDK harness layer now supports fx, Vercel's lightweight, open-source coding agent. The harness layer provides one API for running coding agents in your application, so you can add fx without building a separate integration.Configure HarnessAgent with the official @ai-sdk/harness-fx adapter: T
81% of brands say their AI identifies itself. Only 22% of consumers agree. Learn why the gap exists and how to close it.
I switched to Mac about eight years ago and actually probably closer to 10 but I worked in tandem with windows during that transition for about two years As a web developer my server platform is lamp specifically Debian I use docker for local development and production PHP storm is my ID of choice D
Ryan chats with Leo de Moura, Senior Principal Applied Scientist at AWS and the creator of the Lean language, about proving correctness in AI agents with the Lean language, how automated reasoning complements probabilistic AI models, and the use of AI for continuous code optimization.
New Twilio research finds 78% of consumers have tried to bypass an AI agent to reach a human. Here's why (and what to do about it).
Ryan is joined by Praveen Bodigutla, Principal AI Researcher at LinkedIn, to chat about the four-layer memory system his team built to give LinkedIn's hiring assistant a persistent, personalized state.
Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles. To meet this challenge at scale, Meta designed MetaRoCE – a clean-sheet RDMA transport protocol purpose-built for AI workloads on commodity Ethernet. We’re releasi
Organizations cannot solve shadow AI with a document employees read once. They need to make responsible use easier than improvised use.
Cloudflare's new Bot Preference Sync automatically aligns your robots.txt file with your AI bot policies for Search, Agent, and Training. Easily manage which bots access your content without maintaining static files.
Ryan chats with Brian Alvey, CTO at WordPress VIP, about how AI agents are changing the business models of the web, what parts of how we build our sites won’t survive our current digital evolution, and why your site will always need structured content.
As AI transforms software economics, the standard revenue playbook is breaking down. Learn how leaders around the world are preparing for agent buyers, updating processes for faster pricing iteration, and building more flexible infrastructure.
The OpenAI/Hugging Face incident exposed a new challenge for AI agent security. 17,600 attacker actions show why AI agent security can’t rely on human review. Explore the controls needed to constrain, observe, and govern agents at speed.
WhatsApp is committed to helping people stay safe while protecting the privacy of their messages. As scam tactics evolve — from impersonation to social engineering to AI-generated lures — we’re always evolving as well, so that our protections stay ahead of scammers while protecting people’s personal
AI companies are undergoing rapid global expansion while achieving unprecedented rates of growth. We analyzed Stripe data to understand where global demand is the strongest, and how companies can build to best capture that demand.
Meta’s Generative Ads Recommendation Model (GEM), the foundation model behind ads recommendations across Instagram and Facebook, now trains at LLM scale on several thousand of the latest-generation GPUs. This post goes into the details on how we achieved: doubling end-to-end (E2E) training efficienc
Authors: Ying Li, Arjun Rao, Shradha SehgalIntroductionRecommendations sit at the heart of the Netflix experience. Our current production models rely on thousands of hand‑crafted features over users, items, and interactions, along with specialized architectures for sequence modeling, feature interac
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