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AI is no longer just another feature that Apple's chips need to support. It is now shaping how Apple's products are designed and when they are shipped. The Apple car project was not a futile exercise. The AI hardware effort developed for the vehicle now powers Macs and AI servers. What was seen as one of Apple's costliest failures may actually have been one of its most consequential technology investments.
1X's new robotic hands have 25 backdrivable joints that give way when pushed rather than staying rigid. The skin's sensors read both pressure and sideways movement across the fingers, allowing it to notice a glass starting to slip. Factory robots use grippers because they work with parts placed exactly at the same spot every time, but homes have a much larger variation in object type and placement. 1X's robotic hands can bend past a human range and wrap around awkward shapes and are ready for chores.
China has demonstrated its first-ever controlled rocket recovery. The Long March 10B successfully completed its maiden flight, and its first stage was recovered via a sea-based net. There are several other rockets in development in China that could soon achieve reusability. The country has four land-based spaceports and multiple ocean-going launch platforms and is ready to quickly ramp up its launch cadence.
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Wispr Flow [10] turns your voice into clean text in any app, on any device. It strips filler and fixes grammar automatically. No cleanup.
Our thoughts about the smartest way to accomplish a task will become increasingly stupid compared to AI's way of doing it as time goes on. This necessitates a switch from prompt engineering to intent engineering, where you describe the outcome you want rather than how a thing should be done. People should review older prompts and switch their 'how' prompts into 'what' prompts.
People who work on small codebases with low-turnover teams use different methods, practices, and cultures than people who work on large codebases with high-turnover teams. The first group, which says you need to understand the codebase completely, otherwise you can't do good work, is over-represented in online discussions about software engineering. There's nothing wrong with being in a state of partial understanding in many software engineering environments. In large systems, a partial understanding is the best you can do.
Zhipu's co-founder, Tang Jie, has published a full-staff letter announcing a full return to foundation-model research and a two-year plan. The letter covers Tang's views on AGI, AI safety, open source, and more. It also presents a road map to AGI that includes strategic investments in long-horizon tasks, autonomous agent systems, full self-training, and extreme safety governance.
AI creates a problem where buyers risk giving away knowledge just to use what they bought. They essentially pay for intelligence twice: once with money, and again with the proprietary knowledge they must reveal to make that intelligence useful. Over time, the seller learns more and more about their customers while buyers learn very little about what the seller is learning in return. This reverse information paradox needs to be confronted, as companies should be able to use models without giving up knowledge that makes them unique.
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Current predictions about AI are not grounded in reality.
Hangzhou-based BrainCo makes headbands and caps that pick up electrical signals through the scalp with no surgery required.
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Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually
A meme is anything that is able to capture cultural transport.
LLMs are now good enough that we need new benchmarks to explain their differences.
The rounding of a cosine can betray the OS that a browser is running on.
OpenAI has released its new frontier model family for ChatGPT Work, Codex, and the OpenAI API. The GPT-5.6 family has three tiers: Sol, the flagship model; Terra, a lower-cost everyday work option; and Luna, the fastest and most affordable model. The series features higher intelligence per token, lower estimated cost for complex work, and stronger agentic performance. There is a new 'ultra' setting that coordinates multiple agents across parallel workstreams for demanding tasks.
Meta's Muse Spark 1.1 includes a new paid tier for developers. Developers are able to use Meta's model for free up to a point, then they'll be required to pay for access. Meta's API pricing is roughly 25% of the cost of other top competing models. Mark Zuckerberg has described Muse Spark as having state-of-the-art - or very close to it - agentic reasoning and tool use.
Humanoid robots controlled by skilled human surgeons recently removed the gallbladders from living pigs in an unprecedented medical experiment. The approach takes a fraction of the space needed in an operating room and is easy to deploy. The experiment used a Unitree G1 humanoid robot, which has a starting price of $13,500. Unitree's humanoid robots teleoperated by surgeons are still very much in the experimental phase, but the approach could eventually be used in smaller hospitals and clinics that lack the resources to install expensive surgical robots.
Apple has reportedly held meetings with PrismML about how it could use the startup's technology to run much larger AI models directly on iPhones. PrismML has managed to shrink down Alibaba's Qwen 3.6 model, which has 27 billion parameters, to run entirely on an iPhone Pro. Larger models running directly on iPhones would allow for more Apple Intelligence features to run on-device, which could reduce Apple's costs and further enhance user privacy.
GitHub had over 14,000 repositories across its primary internal GitHub organization. Less than half had clear ownership. This post discusses how GitHub gave every active repository a validated owner in under 45 days, archived the rest, and made ownership the foundation for everything that followed.
Agents are writing code faster than any human can review. Humans being involved in every code review is a bottleneck. Put humans outside of the code review loop by building a pipeline that delegates tasks to agents. This post looks at power workflow changes that PostHog uses to make reviewing AI-generated code fast without losing quality.
Netflix's subscriber engagement is showing signs of decline. While the company remains the industry leader among subscription-streaming services, shares are down more than 40% over the past 12 months. Executives have started discussing adding live channels that would continuously stream certain programs to bolster engagement. They are also looking at other sports events they can add to the streaming service.
A class at Brown University was giving take-home exams, and the professor suspected students were using AI to complete them. After the professor announced that the final exam would be in person, 18 students dropped the course, and nine others didn't attend the final exam. Of those 27 students, 22 had scored perfectly on the midterm exam. The average test score plunged from 96 to 48 for those who took the test.
Mark Zuckerberg is not convinced that AI technology will ultimately become a commodity as some companies are already gatekeeping aspects of their technology.
The current market dynamics point to a future in which frontier models move towards becoming commodity infrastructure.
The competitive dynamics in the next phase of AI will likely be defined by the unit economics of data acquisition.
Mitchell Hashimoto, the developer behind Vagrant, Packer, Consul, Ghostty, and Vouch, talks about terminals, Zig, and open source.
Plan A is a wish list, a positive vision, a road map for navigating a future where this AI thing turns out to be real.
John Ternus should return Apple's privacy policy to its 2014 clarity.
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The five things eating your week. Wispr Flow [5] turns all of them into voice, 4x faster than typing. Speak the way you think. Flow handles the rest.
OpenAI has upgraded the voice model used by ChatGPT. The model is reportedly impressive. It has the ability to spin off harder tasks to GPT-5.5 and continue conversations for at least a full hour. The model can continue talking with users and maintain the flow of conversation while it works on background tasks.
SpaceXAI has released Grok 4.5, a workhorse that can tackle all of the typical tasks that the AI industry has sought to automate. The model reportedly has twice the token efficiency of other leading models, which could be a big advantage for SpaceXAI as the cost of tokens has become a growing concern for AI consumers. The new model costs $2 per million input tokens and $6 per million output tokens. Benchmark results from SpaceXAI are available in the article.
Blue Origin is raising its first outside funding round. Jeff Bezos is set to contribute $2 billion to the round. The company suffered a setback in late May when one of its New Glenn rockets exploded on a launch pad. It has set an aggressive goal to return New Glenn to flight by the end of the year.
City Labs' BOHR (Betavoltaic Orbital High-Reliability) satellite launched on a SpaceX ride-share mission on Tuesday alongside 80 other payloads. It was released into an orbit at an altitude between 350 and 400 miles. The world's first commercial nuclear-powered satellite, BOHR, is powered by electricity generated from the decay of tritium, a radioactive isotope of hydrogen. The company's betavoltaic power systems are far too small to power a smartphone, much less a large spacecraft or a moon base, but it is a step in the right direction for proponents of nuclear power in space.
Agents can write code, but someone must be able to explain exactly what changed, why it was safe, and what will happen if they're wrong, otherwise, their actions can't be justified. Engineers need to own the outer loop and be accountable for systems. Humans are still required in the constraints loop, the sampling loop, the audit loop, and the ownership loop. The scarce resource is human judgment informed by quality signals like logs or tests.
Bun was facing a large number of bugs that were use-after-free, double-free, or 'forgot to free' in an error path. In safe Rust, these are compiler errors and RAII-like automatic cleanup with Drop, so it made sense to rewrite Bun in Rust. However, such a task would take a small team of engineers a full year to complete. As an experiment, one of Bun's developers tried using Anthropic's new models to rewrite Bun in Rust. This resulted in a runtime that was faster, smaller, and used less memory. This article discusses the lessons and tricks learned during the agentic development process.
Meta is testing out a smart glasses prototype with always-on recording to help users remember things about their day. The prototype will not have a light-up LED indicator for when the glasses are recording. There are divergent views within the company about whether the data collected by the glasses should be stored on Meta's servers and used to train AI. Creating the technology will be challenging due to the battery and other issues.
AI companies are distorting San Francisco's housing market. Some homeowners are accepting offers for shares of OpenAI or Anthropic as payments for their homes. Property prices are surging as buyers bet that whoever they overpay today will look cheap tomorrow. Landlords are putting out tenants to sell into the hotter market. Many properties are closing at prices at least $1 million more than their asking price last month.
Ownership means owning the solution of a problem from end to end, from 'we have a problem' to 'we don't have to think about it again'.
Entire is a new Git hosting network that meets the needs of AI agents and those minding them.
TypeScript 7 brings native code speed, shared memory multithreading, and a number of new optimizations that typically yield speedups between 8x and 12x on full builds.
DuckDuckGo's ad detection and blocking are based on the open-source community filter lists from uBlockOrigin.
Meerkat is an experimental consensus service at Cloudflare designed to manage small pieces of control plane state.
John Deere will be required to provide farmers and independent repair providers with the same equipment repair resources that it currently provides to authorized Deere dealers for the next 10 years.
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Understanding your customers has never been more valuable. AI can ship 10x faster, but how can you accelerate the customer feedback loop? That's what this conversation between two AI product leaders [5]will answer.