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Education is Failing our Students in this AI-Driven World
Schools and universities are failing to adapt to our modern world, in which AI is becoming increasingly pervasive in all aspects of life and work. In fact, AI may be changing what should be considered foundational knowledge that all students must learn. In this Fully Connected episode, Daniel
Your AI-built app looks done until you use it. Reverse Engineer Anything (REA), the tool past 200,000 GitHub stars, shows how software you own handles the job
REA stands for Reverse Engineer Anything. It’s an open-source tool that gives AI coding assistants such as Codex and Claude Code a way to investigate existing software, including programs whose original source code you don’t have. You point your agent at an application or a supported browser session and ask how a particular feature works. REA supplies tools to inspect the code and behavior. Your agent uses those findings to explain the mechanism and help you build something of your own.
An intelligent new shopping cart
Universal Cart helps make holiday shopping easier. It’s now available in the U.S. across Search and the Gemini app.
AI Agents Are Becoming Infrastructure. Who Controls the Control Plane?
AI agents are moving beyond isolated applications and becoming part of enterprise infrastructure. This article explores what an agent control plane should manage, from identity and authorisation to policy, security, observability, memory, lifecycle, and cost and why controlling agent infrastructure is becoming as important as building the agents themselves.Read All
The Paradox of Choice in the Age of AI: Why More Options Aren't Always Bad
The psychology of decision-making suggests that the real problem might not be having too many options at all.Read All
Non-Deterministic AI Can Still Build Deterministic Software
LLMs produce unpredictable outputs, but software needs predictable results. Here's how agentic development bridges the gap.Read All
Everyone Has Access to Better AI Models. What Makes Your Product Different?
Model quality improves for everyone at once, so it is not a moat. The durable advantage for an AI product is the labeled feedback data it captures from real usage. Three diagnostics and how to build the capture loop.Read All
We Let an AI Agent Work on Live WordPress Servers. The Hard Part Wasn't the AI
What we learned building a way to manage WordPress sites by talking to them: restore points, approvals, least privilege, and why every reply should show its price.Read All
Is your boss watching you? The rise of AI surveillance at work – podcast
Workers have always been monitored by their bosses, first through output targets, and then via computer software labelled ‘bossware’. But AI is transforming the capabilities of these systems, processing huge volumes of data to provide minute-by-minute accounts of activity, and productivity. To find out more, Ian Sample hears from UK technology editor Robert Booth. He explains which sectors are adopting this approach, why they are doing it, and how it could end up being counterproductive.
I Write My Own Stage Directions Now
Charcoal sketch: a purple robot hand writes marks on a cream script strip that loops into a vintage microphone, and out of the microphone comes a sienna ribbon of sound carrying three theater masks that go from a scowl, to a resolute look, to a big laugh/images/kai-fish-voice.webp/images/kai-fish-vo
What Breaks When Agents Become the Customer | Svix CEO Tom Hacohen
What breaks when agents become the customer? Most of the integration layer, APIs, SDKs and webhooks alike, was built for human developers and for servers that are always listening. Agents are neither.
Why Learn Math and Code When AI Can Do It?
5 Counter-Intuitive Truths from Recent Research
Hidden Test Modelling
Why Your AI Agent Is Betting Against Your Tests: 5 Counter-Intuitive Truths About Agent Evaluation
Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio
A few years ago I stumbled upon Leash Bio’s Substack, and was hooked. Be it their Kaggle competition that showed that no, we really haven’t solved protein-ligand binding, or their crazy discovery that knowing a molecule’s author is perhaps all you need to know to predict how good it is. Their substack — or at least Owl Posting’s deep dive on them — should be required reading for any scientist trying to do chemistry with AI.
Amazon S3 is now available on the Vercel Marketplace and v0 by Vercel
You can now migrate existing Apache Hive datasets in Amazon S3 to fully managed Apache Iceberg tables in Amazon S3 Tables, with no pipelines to build or compute to provision, while production workloads keep running.
Uber’s AI infra, from the inside
Uber Distinguished Engineer Uday Kiran Medisetty shares how Uber builds internal developer tools, integrates AI agents into engineering workflows, and measures their impact on productivity.
AI Leaders Can't Get Along. So How Will They Keep Us Safe? — With Kevin Roose
Kevin Roose is the author of The AGI Chronicles,. Roose joins Big Technology Podcast to discuss whether an AI industry rife with personal rivalries, infighting, and mistrust can be trusted to develop technology more powerful than humans. Tune in to hear why Roose emerged from years of reporting inside OpenAI, Anthropic, and Google DeepMind more concerned about AI safety, why he believes the industry should slow down, and what happens if AI systems begin improving themselves.
AI Agents: The Gap Between Demo and Production
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Build versus buy in the age of AI
Kai Hendry and Vincent De Smet debate build versus buy in the age of AI, infrastructure testing, agent workflows and the human bottlenecks in enterprise delivery.
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