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OpenAI's Atlas browser is now available for macOS. The browser has all the features users expect from a browser and also lets users chat with an assistant about web pages, browsing history, and bookmarks. Windows and mobile versions will be rolled out soon. Atlas has an Agent Mode that can complete tasks for users, but it is only available to ChatGPT Plus and Pro subscribers while still in 'preview mode'.

Amazon plans to replace more than half a million jobs with robots by 2033. The company's automation team estimates that Amazon can avoid hiring more than 160,000 people in the US it would otherwise need by 2027, saving the company 30 cents on each item that it delivers to customers. Amazon is so sure of this automated future that it has started developing plans to mitigate the fallout in communities that may lose jobs. The company's plans could have a profound impact on blue-collar jobs and serve as a model for other companies.

Muon Space is integrating Starlink's laser technology into its own satellites to provide them with an optical fiber-like connection to the Starlink constellation. SpaceX's mini laser terminals can support a 25Gbps connection between two satellites at a range of up to 4,000 kilometers. Muon Space plans to launch the first Starlink-enabled Halo satellite in Q1 2027. The company supplies weather and climate-monitoring satellite systems to third-party clients, including the US Space Force. Starlink's laser technology will transform Muon Halo satellites from isolated vehicles to real-time nodes on Starlink's global network.

Amazon got started with robots in 2012 when it bought the robot maker Kiva, which made circular robots that could lift a stack of goods and take it to a worker. Since then, the company has categorized all of its operations into six types of automation: movement, manipulation, sorting, storage, identification, and packing. Amazon has developed robots that tackle particular changes like moving heavy carts, sorting packed orders, and manipulating items and packages. Employees only touch products at a few stages at Amazon's most advanced warehouse. This article takes a look at the state of Amazon's automation activities and what the future holds for the company and its technology.

Successful AI transformation starts with deeply understanding your organization's most critical use cases. We recommend this practical guide from You.com that walks through a proven framework to identify, prioritize, and document high-value AI opportunities. Learn more with thisAI Use Case Discovery Guide.

Next.js features improvements to Turbopack, caching, and the Next.js architecture. Cache Components are a new set of features designed to make caching in Next.js more explicit and flexible. The Next.js DevTools MCP provides agents with Next.js knowledge, unified logs, automatic error access, and page awareness. More details about what's new in Next.js are available in the article.

This post walks readers through how to build a key-value database from the ground up. Key-value databases work similarly to objects in JavaScript - you store values using a key and retrieve them later using that same key. The post covers everything required to build a Log-Structured Merge (LSM) Tree, a type of database used in the real world that works by combining an in-memory list with an on-disk file. LSM trees have proven to perform really well at scale - on Prime Day 2020, DynamoDB peaked at 80 million requests per second.

Samsung's Galaxy XR brings an experience comparable to Apple Vision Pro, but with a $1,799 price tag, giving users much more bang for their buck. The headset launches in the US and Korea today. It is significantly lighter than the Vision Pro, and it also comes with a native Netflix app. Samsung and Google are offering an 'explorer pack' with each headset that includes a free year of Google AI Pro, Google Play Pass, and YouTube Premium, YouTube TV for $1 a month for three months, and a free season of NBA League Pass.

The AI boom has revived a 996 culture (working from 9 AM to 9 PM, six days a week). The increase in work may be due to hyper-capable tools creating a new kind of pressure to keep working. The challenge of the AI era is learning to live with these tools in a healthy way that doesn't allow them to enslave us, and knowing when and how to use them in a way that doesn't diminish our efforts. AI doesn't demand work - people and systems do.

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Basecamp is refreshingly straightforward, with a 21-year track record that proves it actually works. Get every core feature in the free-forever version - upgrade when you see it works. Sign up

GitHub is migrating to use git reftables instead of packed-refs so that multi-ref updates/restacking will be O(n).

Once the bad guys have your data, it often replicates to numerous channels and platforms - if you can aggregate enough of the data en masse, you can end up with huge volumes of threat intelligence data.

Many software engineers have seen no evidence of long-term boosts to efficiency.

The breakout financial products of the past decade are highly engineered lotteries - small, low probability bets with asymmetric upside.

OpenAI has formed a new team of over 100 former investment bankers to create financial models to train AI.

SSA (static single assignment), developed in the 80s, is a popular architecture featured in many optimizing compilers.