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Apple is reportedly working on an AI-driven home robot potentially named the HomeView Ultra. It plans to launch the robotic product with a possible price tag of $1,000 or more by 2027. The earliest prototypes of the home robot first came out in 2018. The robot, which will support FaceTime calls, will be able to autonomously roam around and switch lights on whenever a person enters the room.
SpaceX has held talks with EchoStar to potentially acquire Boost Mobile outright or gain access to its cell network, which is leased from AT&T and T-Mobile. Starlink recently confirmed plans to become a major mobile carrier in the US. The deal will need approval from AT&T and T-Mobile, both of which have already turned down SpaceX for access to their cell towers. SpaceX last year acquired $2.6 billion worth of spectrum licenses from EchoStar to improve its Starlink network's 5G connections.
Nearly all roadmaps point to a utility-scale quantum computer being developed around 2030. Despite this, there is little confidence or clarity on how these machines will actually be useful. The consensus is now that they'll first be used for breaking cryptography. The second most concrete answer is to use them to generate simulation data for AI labs' science models. This post looks at how else quantum computing could be applied and where all the revenue will come from.
Chinese space officials have confirmed the country's plans to land astronauts on the Moon within three years. The landings will involve a lunar-orbit rendezvous similar to what NASA did with the Apollo program. China and the US are racing to land astronauts on the lunar surface, as it would be a major geopolitical win. Both countries are also building capabilities to establish a long-term presence at the Moon's South Pole.
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OpenAI's monorepo's size and demands increased at a staggering pace over the last year, necessitating a revamp of the AI lab's source control system. Its technical staff built Pando, a new backend for Git repositories optimized for concurrent pushes to many branches and to maximize read throughput. The team implemented the backend without interrupting any engineering work or changing how the team uses Git. Pando cut median push latency in production by nearly 5x, and it now delivers nearly a petabyte of Git data per day.
Agents are collapsing their entire tool catalog into one 'exec' tool. This allows models to write short scripts that chain, combine, and await actions inside isolated sandboxes. Models can now reliably combine and chain dependent actions in a single pass. In the previous standard tool-calling model, agents could only perform single actions, but the exec tool allows them to perform multiple actions.
Organizations are losing attention as everyone within is doing something they think is useful, but all that work draws on the same limited capacity to understand, review, and decide. Just because work exists doesn't mean it's the right thing to do. Output is not proof of value. A working implementation only means that something can be built, not that it should be - some changes have negative value.
People open source projects for various reasons. Some do it to build a company or product, others do it performatively, and some ship code just for the love of the game. Open source was never free to copy, and the code was never the moat. AI can remake a product, but it can't provide the rest of the value a company generates. The technology is helping maintainers ship and fix problems faster.
Fern Docs sites are now prebuilt as static pages. On customer sites like Cash App, average mobile Lighthouse scores rose from 60 to 98. Make your docs fast.
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Marvell designs custom AI chips and other technology that connects processors and moves data around data centers, and Lumentum has technology that uses light to move data between chips and servers.
Soon, almost all researchers will engage in AI-assisted replication of their own work before submitting to a journal, which will improve the quality of research going forward.
Reasoning agents that run 24/7 place new demands on infrastructure. On November 9, join Google Chief Technologist Amin Vahdat and fellow product leaders to see how Google is rising to the challenge. The exclusive broadcast will cover:The next horizon of AI compute: The latest advancements in TPUs supporting agentic workloads with high throughput and ultra-low latency.AI Hypercomputer architecture: How co-designed compute, storage, networking, and open software drive efficiency across every layer.Production scaling strategies: Approaches to shortening deployment cycles, cutting infrastructure costs, and scaling open-weight and proprietary models.Project Suncatcher preview: A first look at Google's moonshot - taking compute into space.Register now.
Cisco has given Padmanabhan Krishnamurthy, a 27-year-old ex-startup founder who joined the company through an acquisition, the job of refactoring 98% of the company's legacy code within 24 months. Krishnamurthy has four weeks to produce a proof of concept. He has been given a budget of unlimited tokens to achieve the goal. Cisco is looking to hire more employees that fit Krishnamurthy's mould.
OpenAI's latest funding round received tepid interest from investors. The deal values the AI lab at $1.25 trillion, less than the $1.4 trillion valuation it had earlier hoped to achieve. Investors appear to have grown pickier about which companies they want to back and on what terms. The industry recently experienced a brutal selloff tied to disappointing earnings results from giants, including Google, Amazon, and Intel.
NASA is no longer an indispensable customer for SpaceX. SpaceX is now increasingly disinterested in the US government for most contracts outside of data services. The company is still fulfilling its existing contracts with the government, and at a lower cost and generally higher reliability, but it is no longer signing many large new contracts for spaceflight and services in the traditional launch and in-space flight domains. It sees the vast bulk of its future revenue coming from AI.
Meta's Max robot is designed to help out around people's homes. The prototype was built with the help of a Chinese robotics company in roughly three months. Powered by Nvidia's Jetson Thor chips, the robot weighs roughly 106 pounds and is about 1.5 meters tall, and has a display that can show facial expressions, a built-in speaker, and hands designed to pick up small objects. Meta is already working on a second prototype with updates to the design of the robot's torso and hands, as well as a projector and additional sensors to help it handle stairs better.
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Postgres 19 most likely won't be released until November and could possibly be postponed further. Several large features were reverted quite late in the beta period. AI has made it easier to identify bugs, and this has resulted in a lot more bug reports that the PostgreSQL committers have to work on. This has taken the focus off development of new features, as the project cares about quality.
With product engineering, figuring out what the requirements are is still most of the job. This post presents an interview model where LLMs can be used in interviews to roleplay as customers, and engineers talk to the models to extract requirements. The approach rewards candidates who think of edge cases, approach things sideways, and think about whole systems at once. It's relatively cheap and can be used in conjunction with a standard human interview.
A string of unusual transactions started to cause alarm at Binance on Thursday afternoon. Binance's top executives put together an informal war room with about 100 participants in response and worked through the night to navigate one of the most damaging crises in Binance's history. The company was forced to halt deposits and withdrawals as more than $6 billion was drained from the exchange. This article details how the hack unfolded based on interviews with people with knowledge of the events and analyses by crypto forensics firms.
Digital minimalism is about being intentional about how you access digital technology. It is about making a conscious choice rather than something that you get sucked into by default. We need social media, the internet, and the web less than before due to AI, and there's so much you can now do purely locally and offline. The flaws of the previous paradigm are now reaching their apex, making digital minimalism more and more necessary.
TLDR is hiring a senior engineer to build the agent-first operating layer used across the company. We're looking for a builder who has taken an LLM agent to production and still owns it. Click here to learn more.
Shopify's Fall '26 Edition brings store connectors to nine AI agents. Manage products, inventory, and orders from the chat, or turn an idea into a storefront preview. Try it now.
This post looks at how society could give everyone a stake in productivity improvements in a way that still keeps the natural self-regulation of the free market.
The fight to regulate AI and reform American science runs through the Office of Science and Technology Policy, an underutilized office run by Michael Kratsios, who had previously worked with Peter Thiel.
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DoorDash will acquire Instacart for $17 billion. Instacart shareholders will receive $65 per share, 26% over the company's price on October 22. Combining the companies' technology and infrastructure will result in faster deliveries and more affordable prices. The deal is expected to close late next year or in 2028.
Reddit will start testing a logged-in-only experience in select non-US markets in Q4. The company's CEO says the login requirement will help Reddit retain new users. It will also provide more signals for ads targeting and help protect access to the site's data. The changes will make it significantly easier for Reddit to understand who uses Reddit and why, which will help the site manage things like AI scraping and evolving search habits.
Neuralink's Blindsight implant is now ready from an engineering standpoint. The device is designed to help blind people see. It is currently waiting on regulatory approval before it can be sold to customers. It has already received Breakthrough Device Designation from the US FDA, which will help speed review of the device.
Progress has started to accelerate in science in the last two years. AI can send hordes of superhumanly fast, well-read, and mathematically gifted researchers to accelerate scientific research. It is possible AI will enable new types of discovery and ways of understanding the natural world that no network of humans would ever be able to discover. Unless humans have actually somehow discovered most of the actual exploitable regularities in the Universe, we're about to enter a new golden age of science.
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Adding constraints to AI agents usually makes them less capable. Sometimes the solution is to create a template or a complete multi-stage workflow. The challenge is in creating the deterministic behavior while retaining the agent's freedom to use the best tools for the job. This post discusses a solution that uses a man-in-the-middle egress proxy that forces behavior by denying actions and forces reactions via automated messages.
Knowing what part of inference a project relies on for speed is important. Check thinking budgets, and read traces, as they often contain valuable insight into what an agent wants to do. Give agents the tools they want rather than what you think they need. Faster hardware still matters, sandboxing and microVMs add complexity, parallelization helps, and classic software performance optimization is still relevant.
Binance has suspended transactions after a hack that the exchange said totaled around $6.3 billion. Stablecoin providers Tether and Circle moved quickly to freeze some of the stolen assets. The heist appears to have been conducted by a North Korean hacking group. Binance's founder said in a post on social media that users' funds are safe.
The standard answer for what humans will do after the Singularity is that people 'will just hang out'. However, AI will destroy the processes by which people come together and build relationships. With unlimited entertainment, people might not even want to socialize with other people. The people in the AI utopia will have no skills, education, or accomplishments, so they'll likely not be worth talking to, and you probably wouldn't want to hang out with them.
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The Commanding Heights are scarce, controllable positions of economic power whose holders durably capture the gains of increasingly capable and diffused intelligence.