Hitesh Sarda

An open-weight model just matched the best in the world for a fifth of the price, and the internet decided this was Anthropic’s problem.

Last week Mark Zuckerberg told Meta staff that agentic AI development “hasn’t really accelerated in the way that we expected” over the past four months.

A researcher found a way to steal the titles of your private YouTube videos using nothing but a comment.

Two governments spent the last two years arguing with the same satellite company, and they made opposite mistakes.

I have spent a good part of my career on two very different kinds of software: products built to reach millions, and internal tools built for a few hundred people who could not do their jobs without them.

Cloudflare turned on a toll booth on the open web this week, and it isn’t built for you.

A professor at Brown University went public last week describing what they called mass AI fraud on a take-home exam.

For two years my default advice to anyone asking about AI tools for development has been: pick a cloud API, learn to use it well, and don’t overthink the hosting question.

Every few weeks a chart goes viral: “this one person is now richer than the entire GDP of [some country].”

Three separate people sent me the Fintech Engineering Handbook this week, which is usually a sign the document is answering a frustration engineers already had.

Commerce Secretary Howard Lutnick published a letter that resolved two weeks of waiting: Anthropic can release Claude Mythos 5 to “more than 100 US institutions” listed in a document called Annex A, along with their foreign national employees.

OpenAI announced its first custom chip on Tuesday.

Velocity is up, defects are stable, deployments are more frequent.

Mitchell Hashimoto just pledged $400,000 to the Zig Software Foundation.

Anthropic now asks for a government-issued photo ID and a live selfie before it will give you access to its most capable models.

The safe way to read Apple’s server-chip plans is that Apple is building silicon to run Apple Intelligence on its own hardware instead of Nvidia’s.

Norway announced last week that students in grades 1 through 7 should, as a general rule, not use AI tools in school.

Noam Shazeer co-authored “Attention Is All You Need” at Google in 2017 – the paper that ended the era of recurrent neural networks and made every large language model that exists today possible.

SpaceX is buying Cursor for $60 billion.

About a year ago I’d have quietly dismissed the idea of replacing Claude with a locally-run model for serious coding work.

Rio de Janeiro’s planning agency released a 397-billion-parameter language model this month and called it homegrown.

A police officer in Derbyshire, England, is under investigation for using AI to create or alter evidence across multiple criminal cases.

The US government banned an AI model on June 12 for being able to read code and fix bugs.

When AI tools landed in most teams, so did a pattern nobody quite had words for: a colleague sends AI-generated output without reviewing it, expecting the group to do the evaluation they skipped.

In early March 2026, Amazon’s retail site fell over repeatedly, and internal documents tied the outages to AI-assisted code changes.

For a couple of years we lived comfortably in what I think of as the quaint-dismissal phase.

You build a particular kind of trust with a good tool.

A new survey of 831 engineers found that 97% of teams now use AI coding assistants.

For most of my career, engineers were measured by how fast and how well they could implement.

What happened?

From IT Services to AI Services Right now, businesses worldwide have access to AI that can write, analyze, and reason better than most humans.

The Zero-Code Revolution: When AI Becomes Your Development Partner By 2027, the most valuable “developers” in your organization might never write code.

From reasoning models that rival o3, to voice AI with emotion and real-time chat—this week’s AI releases pack a punch.

This week Google and Microsoft unveiled a slew of new AI products and are showing they are uber serious and a mighty force in AI space as well.

No, seriously — it felt like we skipped a few chapters in the timeline.

In the past week, developers saw some of the biggest GenAI players hit the brakes, roll out powerful new open-weight models, and super-charge their toolkits.

I’m geeking out over last week’s AI news – it was packed with goodies for developers.

The world of AI development is buzzing with activity!

I am used to the rapid progress in AI front, but I was still surprised when I saw what OpenAI pushed out this week.

This week, the world of AI felt like it hit the gas pedal—and then some.

Let me be blunt: Your AI might be trying to kill your business.

I swear these AI companies are in a race to make my job obsolete.

1.

Over the past two weeks, both Google and OpenAI have unveiled their new multimodal image generation capabilities.

The future is unfolding as a collaborative dance between intelligent digital agents and human agency—a partnership that promises to redefine work, creativity, and everyday life.

Hello, friends and colleagues!

The Tools Shaping the Future of Intelligent Automation Imagine sitting down to build an AI-powered system.

Hello everyone!

Did you know that AI is now being used to enhance winemaking and reduce ferry emissions?

Anthropic has unveiled the Anthropic Economic Index, a pioneering initiative aimed at understanding AI’s effects on labor markets and the economy over time.