Cyber Lack of Security and AI Governance
The real recent story of AI has been the background work being done on Cybersecurity, as we process the Mythos Moment along with GPT-5.5, and figure out both how to patch the internet and what our new regulatory regime is going to look like.

A playbook to run an agent Build Club
This is Build Club. We’ve been running it for two months. It is the single highest-signal hour of our week, and it is genuinely easy to copy. Every Friday afternoon, twenty-something DataRobot employees pile into a Google Meet. Someone shares their screen. They start typing. There are no slides, no demo script, no agenda beyond... The post A playbook to run an agent Build Club appeared first on DataRobot .

Node.js 22.22.3 (LTS)
mimalloc: A new, high-performance, scalable memory allocator for the modern era
mimalloc is an open-source, modern, scalable memory allocator that is a drop-in replacement for malloc and free. It is relatively small (~12K lines), with clear internal data structures, and is easy to build and integrate into other projects. It provides bounded worst-case allocation times (up to OS primitives), bounded space overhead, low internal fragmentation, and minimal contention by relying almost exclusively on atomic operations. The post mimalloc: A new, high-performance, scalable memory

TypeScript, C# and Turbo Pascal with Anders Hejlsberg
Anders Hejlsberg reflects on building Turbo Pascal, C#, and TypeScript, and shares what AI may change about the future of software engineering.

Viaduct 1.0 and the future of Airbnb’s data mesh

Launch HN: Ardent (YC P26) – Postgres sandboxes in seconds with zero migration
Hey HN! We’re Vikram and Evan from Ardent ( https://tryardent.com ). We're building database sandboxes for you and your coding agents. In the last two years coding agents have gotten dramatically more capable at handling complex engineering tasks. But without access to a realistic sandbox at the DB layer for testing, they ship garbage that can take down production databases. I spent over a year building an AI Data Engineer that failed for this exact reason. Evan spent the last 12 years in data e
NVIDIA New AI Is An Efficiency Monster

GridSFM: A new, small foundation model for the electric grid
Introducing GridSFM, a small foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and unlocking cost savings. Learn how GridSFM gives grid operators direct visibility into congestion, stability, and system health. The post GridSFM: A new, small foundation model for the electric grid appeared first on Microsoft Research.

Researchers “reprogram” materials by quickly rearranging their atoms
A new method for precisely moving columns of individual atoms within a material could give rise to exotic quantum properties.

Can AI Chatbots Reason Like Doctors?
One of the earliest stated goals for computing in medicine was to aid in clinical reasoning: the decision-making steps required to reach a diagnosis and form a treatment plan. And over the years, researchers have built many clinical decision support systems, which have typically been purpose-built, with painstakingly written rules about symptoms, test thresholds, and medication interactions. As artificial intelligence capabilities develop, clinical reasoning is a natural application. Now, a larg

Reel Friends: Building Social Discovery that Scales to Billions
On its face the new Friend Bubbles feature looks simple enough. It highlights Reels your friends have watched and reacted to. But sometimes the features that seem the most straightforward require the deepest engineering work. On this episode of the Meta Tech Podcast, Pascal Hartig chats with Subasree and Joseph, two software engineers from the Facebook [...] Read More... The post Reel Friends: Building Social Discovery that Scales to Billions appeared first on Engineering at Meta.
Browser Run: now running on Cloudflare Containers, it’s faster and more scalable
We’ve enabled higher usage limits, faster performance, better reliability, and increased shipping velocity for our Browser Run product by rebuilding on top of Cloudflare’s Containers. Here’s how.

Practical Interface Patterns For AI Transparency (Part 2)
Why traditional loading patterns like spinners fail in agentic AI experiences, and how interface patterns that reveal the system’s process, status, and decision-making can improve transparency and build user trust.

Choosing the Right Agentic Design Pattern: A Decision-Tree Approach
Most <a href="https://www.

Archivists Turn to LLMs to Decipher Handwriting at Scale
When I sat down with bell hooks’ personal journals at an archive at Berea College in Kentucky, I expected an intimate peek into her private thoughts, her voice before the editing. What I got instead was frustration. Her handwriting was dense cursive, all loops that looked identical to my eye, and there were years of journals to go through. I found myself photographing pages and feeding them to ChatGPT just to read what she’d written. My tool of choice worked well, and it turns out I’m not the fi

Building a safe, effective sandbox to enable Codex on Windows
Learn how OpenAI built a safe, effective sandbox to enable Codex on Windows with controlled file access and network limits.
Inside the Lens of a White House Photographer with Pete Souza
Welcome to Remarkable People. We're on a mission to make you remarkable. Helping me in this episode is Pete Souza. Pete is one of the most trusted photographers in modern American history. His images have documented presidents, pivotal decisions, and deeply human moments that rarely reach the public eye. But beyond the access and [...] The post Inside the Lens of a White House Photographer with Pete Souza appeared first on Guy Kawasaki .
The Road to Name-Based Destructuring
TL;DR New “val inside parentheses” syntax is being introduced to allow for name-based destructuring. Additionally, new syntax with square brackets is being introduced for positional destructuring. Both are currently Experimental (enabled using the -Xname-based-destructuring=only-syntax compiler argument) and will become Stable in a future release. In the distant future, the behavior of the “val outside parentheses” […]
AI Bias in Hiring Tools: Real Disasters and How Teams Fixed Them
Tame Your Algo Continue reading on Becoming Human: Artificial Intelligence Magazine »

The best argument I’ve heard for why AI won't take your job
In the first episode of the Platformer podcast, Box CEO Aaron Levie makes the case that you'll keep your job — but soon, you might not recognize it

AI Weekly Issue #492: AI slop : A $725B bet on what no one wanted
Hyperscalers will spend $725 billion on AI infrastructure this year. The users they are spending it on are now actively rejecting the output. Gartner finds 50% of US consumers prefer brands that don't use generative AI. Wikipedia just banned AI-generated content 44-2. Stack Overflow's new-question volume has fallen 78% year over year. Google AI Overviews have collapsed top-page CTR by 58%. This is the structural tension running through every story below: capacity is being added fastest in exactl
Patch Tuesday, May 2026 Edition
Artificial intelligence platforms may be just as susceptible to social engineering as human beings, but they are proving remarkably good at finding security vulnerabilities in human-made computer code. That reality is on full display this month with some of the more widely-used software makers -- including Apple, Google, Microsoft, Mozilla and Oracle -- fixing near record volumes of security bugs, and/or quickening the tempo of their patch releases.
A new unit of measurement to honor an influential MIT alumnus
In a nod to the prank that first introduced the smoot, an MIT team rolls out the “klein” in homage to Martin Klein ’62 and playfully renames a beloved Charles River span the “Shortfellow Bridge.”

Create Vercel Firewall rules with natural language
Vercel Firewall now lets you create WAF custom rules using natural language. Describe the behavior you need and the dashboard will generate the rule. Visit the firewall custom rules page to try creating a rate-limiting rule: Or use the Vercel CLI: WAF custom rules let you control traffic to your site by logging, blocking, challenging, rate limiting, or redirecting requests based on conditions like IP address, path, country, user agent, and more. For example, you can: Log all requests to /api/web
Childhood and Education #18: Do The Math
We did reading yesterday.

Neutralizing the Gigascale Problem: How to Solve the Physical Power Paradox of Extreme AI Training Loads
This sponsored article is brought to you by Ampace . As AI workloads grow to gigascale levels, the global data center industry has hit a hidden physical wall. The real bottleneck is no longer just the thermal limit of the chip or the capacity of the cooling system — it is the dynamic resilience of the power chain. Modern AI computing clusters, driven by massive GPU clusters, generate high-frequency, abrupt, and synchronized spikey pulse loads. As rack densities soar beyond 100 kW, these fluctuat

Revisiting “No Silver Bullets” in the age of AI
Does the noted “No Silver Bullets” paper by the author of a classic engineering book still hold up, 40 years later? Is AI the long-sought single silver bullet – or has one been around for years?

TechPays has been acquired by Levels.fyi
tl;dr: TechPays is joining Levels.fyi : so the leading tech salary site in Europe gets the love and care it deserves. Thanks to Zsombor for building this project with me for so many years. Pay transparency has always been an issue in tech, especially in Europe. For a while,

Amazon Redshift introduces AWS Graviton-based RG instances with an integrated data lake query engine
Amazon Redshift RG instances, powered by AWS Graviton, run data warehouse and data lake workloads up to 2.4x as fast as RA3 instances at 30% lower price per vCPU. Its integrated data lake query engine supports open table formats such as Apache Iceberg.
An Engineer’s Guide to Better AI Skills: Implementing a Testing Process to Optimize Agent…

Migrating Data Ingestion Systems at Meta Scale
Meta’s data ingestion system, which our engineering teams leverage for up-to-date snapshots of the social graph, has recently undergone a significant revamp to enhance its reliability at scale. Moving from our legacy system to our new architecture required a large-scale migration of our entire data ingestion system. We’re sharing the solutions and strategies that enabled [...] Read More... The post Migrating Data Ingestion Systems at Meta Scale appeared first on Engineering at Meta.

Launch HN: Voker (YC S24) – Analytics for AI Agents
Hey HN, we're Alex and Tyler, co-founders of Voker.ai ( https://voker.ai/ ), an agent analytics platform for AI product teams. Voker gives full visibility into what users are asking of your agents, and whether your agents are delivering, without having to dig through logs. Our main product is a lightweight SDK that is LLM stack agnostic and purpose-built for agent products. ( https://app.voker.ai/docs ) Agent Engineers and AI product teams don’t have the right level of visibility into agent perf
Hello Robot Sets the Standard for Practical, Safe Home Robots
Many roboticists (and at least one robotics journalist) have been seduced by the dream of a robot butler. And the rampant popularity of videos showing humanoid robots doing household tasks in improbably clean kitchens and unrealistically tidy bedrooms suggests that we’re not the only ones interested in a robot that can do our chores. But for all kinds of reasons , legged humanoids are not yet ready for industrial or commercial applications at scale, and home applications ( if people even want th

Q&A: Expanding MIT’s global reach through Universal Learning
Dimitris Bertsimas and Megan Mitchell discuss the motivation behind Universal Learning, and what sets the new MIT Open Learning educational initiative apart.

Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”
New AI education program from MIT Open Learning debuts with AI-powered personalization and a free introductory course for learners everywhere.

Co-Scientist: A multi-agent AI partner to accelerate research
Introducing Co-Scientist, a collaborative AI partner built with Gemini to help researchers accelerate scientific breakthroughs.
The AI Ethics Brief #190: The Data We Leave Behind
On therapy sessions, Slack archives, and citations that didn't exist. Source
Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models
MatterSim is expanding what AI can do for materials science—from faster large-scale simulations to MatterSim-MT, a new multi-task model for simulating properties beyond potential energy surfaces alone. The post Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models appeared first on Microsoft Research.
