Search the archive

Simplify your stack with Azure →

META'S SUPERINTELLIGENCE LAB UNVEILS ITS FIRST PUBLIC MODEL, MUSE SPARK

Muse Spark is the first AI model in Meta's Muse family. Spark is proprietary, but some of the other models in the Muse family will be open source. Muse Spark can get information from content posted on social media to link posts to locations or trending topics. Its standard thinking mode ranks comparably or better than competing models from leading AI labs. However, there are still performance gaps in long-horizon agentic systems and coding workflows. Meta Stark is available in the Meta AI app and website, as well as Meta's API for selected partners. It will be available to Meta's other platforms in the coming weeks.

ANTHROPIC LAUNCHES CLAUDE MANAGED AGENTS FOR BUSINESSES

Claude Managed Agents is a suite of composable APIs aimed at developers and enterprise teams looking to build and deploy cloud-hosted AI agents at scale. It is now available in public beta on the Claude Platform. The offering targets organizations that need robust, production-grade agent infrastructure without having to manage background tasks. It provides features such as secure sandboxed code execution, authentication, checkpointing, scoped permissions, and persistent long-running sessions.

US NUCLEAR STARTUP ANTARES GETS DOE APPROVAL FOR ITS MARK0 REACTOR DEMONSTRATOR

US nuclear startup Antres aims to achieve criticality for its reactor before the 4th of July this year. The California-headquartered startup is developing microreactors. After the demonstration of its Mark0 reactor, the company will work on achieving electricity generation for its Mark1 demonstration next year. The Department of Energy is aiming to achieve criticality in at least three advanced nuclear reactors before Independence Day this year as part of its Reactor Pilot Program.

THE 2-SIGMA PROBLEM: THE 1:1 TUTOR

The technology to deliver 1:1 tutoring has finally arrived. Studies show that even having an average tutor shows significant improvement in student scores. However, no edtech companies are building an AI tutor yet, with many companies disavowing the technology's usefulness as it can't create a 100% perfect lesson plan yet. With AI, engagement and substantive learning no longer have to be diametrically opposed. A superhuman teacher will soon be buildable as AI labs continue to improve on accuracy and hallucination problems.

TRY IT FREE FOR 3 MONTHS →

Use code TLDRTS43

THE GIT COMMANDS I RUN BEFORE READING ANY CODE

This post introduces five git commands that can diagnose a codebase before a developer opens a single file. Commit histories can provide a diagnostic picture of a project. They tell you who built it, where the problems cluster, and whether a team is shipping with confidence or tiptoeing around land mines. The commands introduced in the post inform developers what the most changed files are, who the authors were, where bugs cluster, whether a project is accelerating or dying, and how often the development team is firefighting. They let developers know which code to read first and what to look for when they get there.

FEEDBACK FLYWHEEL

Every AI interaction generates a signal. These signals can be harvested and fed back into a system to turn individual experience into collective improvement. This creates a feedback loop that turns each interaction into an opportunity to improve the next one. The infrastructure compounds as practice feeds back into it.

MY QUEST TO SOLVE BITCOIN'S GREAT MYSTERY

The identity of Bitcoin's creator, Satoshi Nakamoto, has been a mystery for 17 years. Nakamoto left behind a huge corpus of texts, and this was expanded during a recent trial where an imposter was sued for falsely claiming to be Bitcoin's creator. This article contains an investigation that leads to the conclusion that Adam Back is Satoshi Nakamoto. Back is a British cryptographer and a leading figure in the Bitcoin movement.

CAST ADRIFT, META EMPLOYEES HAVE NO IDEA WHO THE ‘TOKEN LEGEND' IS ANYMORE

Meta had an internal system called Claudeonmics that tracked employees' token usage. It ranked the top 250 employees and gave them badges for high rankings. Meta's staff reportedly used up about 60 trillion tokens in just 30 days, with the person in the top spot racking up 281 billion tokens. Meta has shut down the tracking system due to the data being shared externally.

ROI.

HOW TO GET YOUR COMPANY AI PILLED

Ramp got 99.5% of its team active on AI tools by being obsessed over every employee embracing the new technology.

FOR THE FIRST TIME EVER, AMAZON IS CUTTING OLD KINDLES OFF FROM THE KINDLE STORE

Older Kindle e-readers will no longer be able to buy or download books from the Kindle store starting on May 20.

WE'RE MISSING A MUCH BIGGER POINT ON MYTHOS

Mythos wasn't trained specifically for cybersecurity, it's just good at it because it's good at everything.

FULLY REMOTE)

TLDR's Applied AI team is tasked with making every process at TLDR legible to code, runnable by anyone, and composable into larger workflows. Join a small, fast moving team using the latest AI tools with an unlimited token budget. Learn more [19].

THE INTL API: THE BEST BROWSER API YOU'RE NOT USING

The Intl API can handle almost all formatting requirements directly in the browser with zero kB of download and no JS bundle parsing required.

VERA

Vera is a programming language designed for large language models that addresses common model mistakes by making everything explicit and verifiable.

AI ADOPTION BY THE NUMBERS

Serving tech, legal, and healthcare buyers is clearly fertile ground right now, but there likely won't just be one 'winner' in each category.

Get 1 month free with code TLDR1MO

ANTHROPIC CLAIMS ITS NEW AI MODEL, MYTHOS, IS A CYBERSECURITY ‘RECKONING'

Anthropic claims its new Claude Mythos Preview model is too powerful to be released to the public. The model specializes in identifying security vulnerabilities in software. Anthropic is making the model available to more than 40 technology companies to use to find and patch security vulnerabilities in critical software programs. The move is aimed at raising awareness of AI threats and giving good actors a head start on the process of securing their code.

INTEL PARTNERS WITH SPACEX, TESLA TO OPERATE NEW CHIP PLANT

Intel has partnered with SpaceX and Tesla to work on Elon Musk's Terafab project. Intel will design, fabricate, and package ultra-high-performance chips at scale. Terafab will make chips for use in Tesla's robotaxis and Optimus humanoid robots. It will also make chips optimized for use in space.

INTEL IS GOING ALL-IN ON ADVANCED CHIP PACKAGING

ASTRONAUTS SET DISTANCE RECORD, REVEALING THE MOON AS A PLACE TO BE EXPLORED

The Orion spacecraft has performed well since its launch last week. The crew looped behind the Moon on Monday. They reached their closest point to the lunar surface at a distance of 4,067 miles at 7 PM EDT. The Artemis II mission reached its most distant point from Earth at a range of 252,756 miles, a new record for the farthest anyone has traveled into space.

Attend live for the extended Q&A

S3 FILES AND THE CHANGING FACE OF S3

S3 Files lets developers mount any S3 bucket or prefix as a filesystem on an EC2 instance, container, or Lambda function. It is backed by EFS, which provides the tools developers already expect. From an application's perspective, S3 files is a mounted directory, but from S3's perspective, the data is objects in a bucket.

THE BUILDING BLOCK ECONOMY

The current most effective way to build software and get massive adoption is to create building blocks that enable and encourage others to build quantity over quality. This will ultimately lead to better mainline software. Agents readily pick open and free software over closed and commercial. Closed-source, commercial software is at a massive disadvantage.

GOOD TASTE THE ONLY REAL MOAT LEFT

Competent output is now cheap thanks to AI. This gives people who can tell what's generic, what's true, and what's worth pushing further an advantage. Taste is a side-effect of paying close attention to reality. Combine taste with context, constraints, and the willingness to build something different from the average.

OPENAI #16: A HISTORY AND A PROPOSAL

Anthropic has partnered with several cybersecurity companies to fix zero-day exploits found by Claude Mythos. The New Yorker recently published a massive article about Sam Altman and his lack of trustworthiness. OpenAI recently proposed policy for the age of superintelligence. The company has purchased tech show TBPN, and while everyone vows that it will stay the same, that's unlikely to happen. This article gets into the details of each story.

FULLY REMOTE)

TLDR's Applied AI team is tasked with making every process at TLDR legible to code, runnable by anyone, and composable into larger workflows. Join a small, fast moving team using the latest AI tools with an unlimited token budget. Learn more [16].

GOOGLE BRINGS VERTICAL TABS AND IMPROVED READING MODE TO CHROME

The tab layout can be changed by right-clicking on any Chrome window and choosing the 'Show Tabs Vertically' option.

IMPECCABLE

Impeccable is a set of AI skills that provides the design vocabulary required to create great design prompts.

SCION

Scion is a multi-agent orchestrator designed to manage deep agents in isolated containers so they can work on different parts of projects without stepping on each other.

APPLE'S FOLDABLE IPHONE REMAINS ON TRACK FOR SEPTEMBER DEBUT

Production has yet to ramp up, which means the timing isn't final.

PRINCIPLES OF MECHANICAL SYMPATHY

Mechanical sympathy is the practice of creating software that is sympathetic to its underlying hardware.

THE RIVIAN R2 WILL LAUNCH WITH 335 MILES OF RANGE

The official EPA range estimate for the R2 is 335 miles when fitted with 12-inch wheels, and 314 miles when fitted with 20-inch wheels.

Schedule a demo to learn more

ANTHROPIC BOASTS REVENUE RUN RATE OF $30 BILLION AS THE CLAUDE DEVELOPER EXPANDS ITS PARTNERSHIP WITH GOOGLE AND BROADCOM

Anthropic's annual revenue run-rate has spiked from roughly $9 billion at the end of 2025 to more than $30 billion. Fewer than 135 S&P companies booked at least $30 billion in sales in the past 12 months. OpenAI's annual revenue run-rate is around $24 billion. Anthropic recently announced an expansion of its partnership with Google and Broadcom. Anthropic will access 3.5 gigawatts of TPU-based AI compute capacity beginning in 2027.

OPENAI'S LEADERSHIP REPORTEDLY DISAGREES ABOUT WHEN TO RAISE MONEY AND HOW TO SPEND IT

OpenAI's CFO, Sarah Friar, reportedly told colleagues earlier in the year that she didn't believe the company could be ready to go public in 2026. CEO Sam Altman wants to go public as soon as Q4. Friar has previously expressed doubts about whether OpenAI needed to pour so much money into obtaining AI servers, and whether the company's revenue growth would support the commitments. These frictions have led Altman to exclude Friar from some conversations related to the company's financial plans.

ARTEMIS II ASTRONAUTS HEADING HOME AFTER HISTORIC MOON FLYBY

The Artemis II mission is the first to send humans to the Moon in more than 50 years. The crew surpassed the Apollo 13 distance record of 248,655 statute miles from Earth, reaching a peak distance of 252,756 miles from Earth. It came within 4,067 miles of the lunar surface, looping around the far side of the moon before returning. The crew is set to splash down in the Pacific Ocean off San Diego, California, on Friday at 8:07 PM.

FROM FOLDING BOXES TO FIXING VACUUMS, GEN-1 ROBOTICS MODEL HITS 99% RELIABILITY

Robotic machine learning company Generalist's GEN-1 physical AI system reportedly crosses into production-level success rates on a broad range of physical skills. The model is also able to respond to disruptions by improvising new moves. The company collected over half a million hours and petabytes of physical interaction data to help train the model. A video of a robot powered by the model taking money out of a wallet and replacing it is available in the article.

Read the guide

see coming. Datadog's LLM Observability Best Practices Guide

walks through how to trace, evaluate, and secure every step of the chain - so you can improve output quality and reduce security risk.

58% OF PRS IN OUR LARGEST MONOREPO MERGE WITHOUT HUMAN REVIEW

One of Vercel's oldest and largest Next.js apps is a monorepo that contains multiple critical properties. The repository sees over 400 pull requests per week on average. Until recently, this required human approval before merging, but now, an agent reviews and merges 58% of those pull requests without a human reviewer. This has dropped the average merge time by 62%.