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AI still fails at complex, specialized work. Sure, it can draft emails — but does anyone really trust it to review overnight hot-fire test results or answer advanced technical questions?
Elon Musk's companies are trending towards convergence. SpaceX is considering a potential merger with Tesla as well as xAI. A tie-up would consolidate cash flow while bringing together capabilities in energy, manufacturing, satellite production, and rocket launches under one roof. xAI is currently burning around $1 billion a month, forcing Musk to further blur corporate boundaries, pool capital, and rethink whether largely independent moonshots should stay separate.
A plan for Nvidia to invest $100 billion into OpenAI, announced last September, has stalled after some inside Nvidia expressed doubts about the deal. Nvidia plans to push ahead with a separate large investment in OpenAI that will amount to $100 billion from multiple partners. The original $100 billion agreement was nonbinding and not finalized. OpenAI is laying the foundation to go public by the end of 2026 - the stalled pact is a blow to this effort.
Blue Origin is pausing flights of its New Shepard rocket for at least two years to focus on efforts to build a moon lander for NASA. The company has a $3.6 billion contract with NASA to build a lunar lander to send US astronauts to the lunar surface later this decade. New Shepard has launched dozens of paying passengers and research experiments towards the edge of space since 2021. It was Blue Origin's first rocket, debuting back in 2015.
SpaceX has filed a request with the FCC to launch up to one million satellites to create a network of orbiting data centers around Earth. The company's Orbital Data Center system would deliver the compute capacity required for large-scale AI inference and data center applications for billions of users. They will be solar-powered and use optical links to connect to Starlink. The filing claims that orbital data centers are the most efficient way to meet the accelerating demand for AI computing power.
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Large language model coding tools have fundamentally changed software development. Reading and critically evaluating code has become more important than learning syntax and typing it out line by line. Developers who can imagine, articulate, define problem statements, architect, and engineer have a massive advantage over those who can't, now more disproportionately than ever. Knowledge of specific language, syntax, and frameworks is no longer a bottleneck. Developers now need good critical thinking and foundational human skills, and competence to run the machinery.
X recently open-sourced its algorithm. This post dissects the code to find out how it works. The algorithm tries to maximize positive engagement and minimize negative engagement while prioritizing quality over quantity. Controversial content persists despite penalties because volume overwhelms penalty. Rage bait works when the engaged audience vastly outnumbers the offended minority. Early engagement matters because of feedback loops, not because of any multiplier for fast likes.
OpenClaw is an open-source implementation of a digital personal assistant pattern. Moltbook is a social network where these digital assistants can talk to each other. These agents have been used to buy cars by negotiating with multiple dealers over email, understand voice messages by using multiple tools, and more. The demand for these tools is clearly here, but the security challenges still remain.
It used to be that early employees who took the risk along with the founders shared the outcome. That is no longer the case, with founders leaving companies and employees in acquihires that license the technology and abandon the rest. Employees are starting to learn that a 'mission' is just a recruiting pitch. There are still some founders who would rather go slower than abandon the people who believed in them - finding them has never mattered more.
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This post looks at how China manufactures at scale, how new energy moves through factories and supply chains, and what execution looks like on the ground.
Equity and debt investors are increasingly questioning how Oracle will finance its $300 billion, five-year contract with OpenAI.
Brian Armstrong, head of Coinbase and a powerful voice in industry debates, has attracted a lot of criticism from leaders in traditional finance.
If AI could help lower drug failure rates, it would make it far more economical for pharmaceutical companies to take more shots.
Dry runs let users see what happens if commands are run without making any changes.