TLDR 2026-04-03

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Google DeepMind has released four new vision-capable Apache 2.0-licensed reasoning models sized at 2B, 4B, and 31B, plus a 26B-A4B Mixture-of-Experts. The models are multi-modal beyond just images and can process video at variable resolutions. The two smaller models feature native audio input for speech recognition and understanding. API access to the two larger models is available through Google's AI Studio.

OpenAI has acquired TBPN, an online talk show with by-the-minute analysis of technology news and executive interviews. The show averages around 70,000 viewers per episode across various platforms. It has become popular among Silicon Valley power players, who view it as more supportive of the tech industry than traditional news outlets. The show generated around $5 million in revenue from advertising last year and was on track to make more than $30 million in revenue in 2026.

Three Americans and one Canadian launched into orbit on the Space Launch System rocket from NASA's Kennedy Space Center on Wednesday. The Artemis II mission is testing the transportation system NASA plans to use to get astronauts to the Moon and then return crews home at the end of their mission. If the mission is successful, the astronauts will go further than anyone has ever traveled in space. They will see parts of the far side of the Moon never before seen with human eyes. The crew is scheduled to return on April 10.

Sanctuary AI recently released a video showing the company's hydraulic hand autonomously manipulating a lettered cube, achieving target orientation 10 consecutive times without dropping the cube. The manipulation took place entirely at the fingertips without the support of the palm. The demonstration showcases a successful instance of zero-shot transfer. The video is available in the article.

Cursor 3 brings clarity to the work that agents produce, pulling users up to a higher level of abstraction. It is faster, cleaner, and more powerful. The new interface is inherently multi-workspace, so users can work with agents across different repositories. The company plans to continue making interface changes as more powerful coding models unlock new interaction patterns.

Simon Willison is an independent software developer, blogger, and one of the most visible and trusted voices on the impact AI is having on builders. Willison made the leap from traditional software engineering to AI-native development more fully and visibly than almost anyone, documenting everything he learned in real time on his blog. This article features highlights from a recent interview with Willison, where he shares why November 2025 was an inflection point for AI coding agents, how he writes 95% of his code from his phone now, why mid-career engineers (not juniors) are most at risk right now, and more. A video of the full 1 hour and 40 minute-long interview is available.

Amazon's success has done a great deal of harm to a lot of companies. Jeff Bezos is a generational entrepreneur who came from a hedge fund. He made a very calculated decision to lose money in the short term to make more in the long term. He took every detail into consideration to make his plan work. Amazon is a bad example of why it is okay to burn loads of cash during growth. The strategy doesn't always work out, especially if it is not executed correctly.

Medvi, a telehealth provider of GLP-1 weight-loss drugs, took two months and around $20,000 to build. Its founder, Matthew Gallagher, used AI tools to write the code that powers the company, produce website copy, generate media for ads, handle customer service, and analyze business performance. He outsourced the other stuff he couldn't do himself and hired one employee, his younger brother. The startup is on track to do $1.8 billion in sales this year.

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The Web Neural Network API is a dedicated low-level API for neural network inference hardware acceleration.

This post details how to create a coding agent that adapts perfectly to custom workflows by clearly separating concerns.

We need better cache policies and architectures to address the impact of AI bot traffic on cloud infrastructure, which is only going to continue to grow.

Devrel has to be legible, not just to humans, but to the machines working alongside them.

People will start using agents to attack old problems with modern tooling, resulting in new versions of software tools that people rely on but don't like.

Microsoft lost its largest customer, OpenAI, and the trust of the US government, in one of the silliest, most preventable, and most costly mishaps of the 21st century.