TLDR

TLDR 2025-09-29

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01GENERAL

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STORY…

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02BIG TECH & STARTUPS

APPLE BUILDS A CHATGPT-LIKE APP TO HELP TEST THE REVAMPED SIRI

Apple is currently using an internal ChatGPT-like iPhone app code-named Veritas to help test and prepare for a Siri overhaul planned for next year. The app is being used to quickly evaluate new features, including the ability to search through personal data and perform in-app actions. The internal tool marks a new phase in Apple's preparations for the Siri revamp, which could help reshape perceptions of its AI efforts.

links.tldrnewsletter.com7 min read

META WANTS TO BECOME THE ‘BACKBONE' OF HUMANOID ROBOTS

Meta's chief technology officer, Andrew Bosworth, recently said in a meeting that he wants to focus on licensing Meta's software to other manufacturers instead of being a hardware manufacturer. Meta's new Superintelligence AI lab is working with the company's robotics group to build a 'world model' that can do software simulations to animate dexterous movements. Bosworth says that robotics will be Meta's next 'AR-sized' bet. The company has so far spent over $100 billion in cumulative investment into its augmented and virtual reality portfolio.

links.tldrnewsletter.com2 min read

03SCIENCE & FUTURISTIC TECHNOLOGY

EVOLVING THE MULTI-USER SPACEPORT

SpaceX currently launches and lands its Falcon family of rockets every two days on average without interrupting the operations of other launch providers. Launch sites of the future will need to be fully operationalized like an airport, with multiple launches a day from multiple providers. SpaceX is working with federal regulators, the federal ranges, and industry partners to realize this vision. Its goals will advance the entire launch industry's ability to fly rapidly and reliably, ideally from multiple locations to increase resilience.

spacex.com15 min read

WHY TODAY'S HUMANOIDS WON'T LEARN DEXTERITY

Current projects developing humanoid robots will fail at teaching them dexterity because, in order to succeed, they need both the right data and for the robots to learn the right thing. Human dexterity relies on a rich sense of touch, and it often involves elbows, the front of the body, legs, and feet. Just using visual data is not enough. In the future, there will likely be a lot of robots with different forms for different specialized jobs that humans can do. They won't look human, but they will probably all still be called humanoid robots.

rodneybrooks.com52 min read

04PROGRAMMING, DESIGN & DATA SCIENCE

WHAT IS "GOOD TASTE" IN SOFTWARE ENGINEERING?

Taste is the ability to adopt the set of engineering values that fit the current project. It's different from skill - it's possible to be technically strong but have bad taste or be technically weak with good taste. Almost every decision in software engineering is a tradeoff. Often, you have to make tradeoffs between engineering values, such as resiliency, speed, readability, correctness, and flexibility, and that's where taste comes in. Bad taste is when your preferred values are not a good fit for the project.

seangoedecke.com11 min read

SMALL DATA

Small Data is a movement away from Big Data toward much simpler and cheaper solutions. It is being driven by improvements in hardware and organizations that don't use that much data. Distributed systems are more overkill than ever. Developers should be considering what technologies they know well, are good enough, and are the least toilsome for the task at hand. Modern hardware will likely handle the workload just fine.

topicpartition.io5 min read

05MISCELLANEOUS

FAILING TO UNDERSTAND THE EXPONENTIAL, AGAIN

Many people look at the current state of AI, see the mistakes it makes, and then somehow jump to the conclusion that AI will never be able to do tasks at a human level. A few years ago, our current AI models were just science fiction. AI is improving at an exponential rate. It will be surprising if these improvements suddenly stop. Even a relatively conservative extrapolation of the trends suggests that by the end of 2027, models will frequently outperform experts on many tasks.

links.tldrnewsletter.com5 min read

OPEN SOCIAL

Open source has clearly won, but this wasn't a foregone conclusion 35 years ago. There were many powerful forces that wanted open source to lose. We are now at a similar juncture with social apps. Projects like Bluesky's AT Protocol are changing the relationship between the user, the developer, and the project. What open source did for code, open social does for data.

overreacted.io27 min read