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While manufacturing continues to contribute substantially to US output, its shares of GDP and employment have declined amid steady shifts toward services.
RBA Governor Bullock: Another sharp increase in oil and related prices is expected to contribute significantly to inflationary pressures.
China’s largest maker of tactile sensors for humanoid robots got its start making sensors for EVs, including BYD. Great piece by @davidjlynch. Glad I could contribute some thoughts:
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In a Self-Driving Company, the people closest to the problem can build the solution. With Replit, anyone in the business can now contribute safely to the company codebase. More collaboration. Fewer bottlenecks. Product shipped faster.
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my open source projects collectively crossed 30k+ stars on github, going from almost zero just a few months ago! 🎉 reflecting on the journey, here are some learnings about growing and maintaining open source projects: 1. make videos sharing your OSS projects videos, not tweets. this is probably my most important tip i had a few viral tweets introducing my OSS projects that got lucky and had hundreds of thousands of views, but what brought in way more serious users and contributors was my youtube videos good videos take a lot more effort to make, but it gives people a much more direct understanding of how your project works and how it delivers value. my hero project firstmate grew largely due to my video content make some videos. and make some more 2. use open source as a super power i can't overstate how much better the tools got because of open source contributions from others. people bring great ideas, and test + fix the product in all kinds of edge cases that i can't possibly discover in a way, an OSS product can guide itself towards PMF, because the community would collectively steer it towards the right direction now that even non-developers can participate in contributing to OSS, this super power is becoming even stronger 3. set a minimum bar on contribution quality the super power can also be a double edged sword here. especially with AI which allowed a lot more people to contribute but also lowered the bar. if left unchecked, you get a lot of noise some projects outright disabled all PRs, while some others refuse to take anything done with AI. neither of which is the right approach IMO my solution has been to raise the minimum bar by requiring all contributions to be raised through no-mistakes. it enforces a level of rigor, and slightly increases the cost to contribute so low quality noise would often shy away i have a github action for enforcing this - which you can use for your projects too 4. automate as much maintenance as possible if you've contributed to my repos, you might have seen some of my automation at work. here's an example - i receive dozens, sometimes hundreds of incoming issues + PRs every day across my repos - i can't imagine how i could have kept all these projects moving if i hadn't leveraged agents to automate the triage work i run the automation in grok bot with my firstmate bot there - it can set up a different bot per each repo, and creates the routines to triage incoming issues and PRs using cursor cloud agents according to my rules, yet allows me to talk to just the firstmate about everything an important pre-requisite to doing that is a good documented vision for your project, which i write using - with a clearly written vision statement, your triage agents can automatically rule out changes that don't align, and focus on the ones that would further the project towards the direction you want
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One of the fundamental problems facing modern society is that fewer people are going through the experiences that traditionally taught us some of the most important realities of being human. Marriage, kids, and actual work used to be the main ways most people got an education in how the world works and how little it cares about their feelings. Those experiences are now less common than ever. Marriage teaches us compromise. Living with another person, particularly someone of the opposite sex, forces us to confront differences in temperament, psychology, needs and expectations. We learn that other people do not necessarily think or experience the world as we do, and that successful relationships require accommodation, sacrifice and an understanding of perspectives beyond our own. These lessons are difficult to acquire in the abstract. Having children teaches us something perhaps even more fundamental: that there are things in the world more important than ourselves. Parenthood imposes responsibilities that cannot simply be abandoned when they become inconvenient. It also exposes us to the realities of human nature. Raising children, including observing the differences between boys and girls, teaches us things about temperament, development and innate human characteristics that no amount of theorising can fully substitute for. Work provides a different but equally important education. It teaches us that nature is indifferent to our needs and preferences. The resources required to sustain our existence do not simply appear because we want or deserve them. We have to engage with the world, understand what others value and contribute something in exchange. Economic reality is ultimately unforgiving: good intentions are not enough, and the world does not owe us a living. Modern corporate employment is already one step removed from the form of work that provides the greatest psychological education. You receive a defined role, a salary, benefits and an organisational structure that packages the economic realities of existence into something more predictable. You still have to earn your position, but you are often insulated from the underlying transaction that makes your livelihood possible. A nation of shopkeepers, merchants and small-business owners has a much more direct relationship with economic reality. When you run a business, you confront the market every day. You have to persuade people to part with their money, manage costs, deal with uncertainty and accept the consequences of your decisions. It's an extraordinarily effective education in how the world works. Farming is even more direct. You negotiate with nature itself. The weather is indifferent to effort, crops fail regardless of intentions, animals become sick, and the seasons impose their own timetable. Survival and prosperity depend on understanding forces beyond human control, working within their constraints and accepting that no amount of wishing will change the outcome. There is a hierarchy here, with each successive arrangement placing another layer between the individual and the fundamental conditions of existence. And the wider thread is that all these experiences force us to confront something outside ourselves. Marriage confronts us with another person's needs and differences. Parenthood confronts us with responsibilities greater than our own interests. Work confronts us with the indifference of economic and material reality. Of course, none of these institutions guarantees maturity, and there are other ways to learn the same lessons. But historically they have been among the most widespread and effective means of teaching them. As fewer people marry, have children or participate meaningfully in economic life, we create a society in which increasing numbers of people never receive this education. They may become adults in age without having been forced to confront the compromises, responsibilities and constraints that traditionally shaped adult judgement. The deeper problem is that modern society is becoming increasingly effective at insulating people from the consequences of their choices and the realities of the world around them. That insulation may make life more comfortable, but it does not necessarily make us wiser, more capable or better equipped to live together. A society that progressively removes the necessity of confronting reality may also be removing the experiences that teach people how to deal with it.
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RESONAC $4004: MS raising TP post meeting w/ CEO Takahashi-san, who emphasized Resonac's unique visibility into the semi supply chain given high market share in many different types of back-end materials. Q1 results defied weak seasonality and co's conservative F12/26 guidance is now viewed as too low. MS pegs 26e EPS 32% higher than co guide and 10% above street, for +68% OP growth and +252% net profit growth YoY. CCLs already strong but Non-conductive film (NCF) for HBM4 and hard-drive media will start to contribute significantly in 2H.
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We just released TensorRT Model Connect in Public Preview. You can take a supported @huggingface model to end-to-end TensorRT inference in just two commands. No intermediate ONNX export, and the resulting bundle can run through native C++ APIs. We also built the entire project with @OpenAIDevs Codex agents, with humans directing and reviewing the work. That includes model implementations, performance tuning, tests, integrations, and docs. It’s open source, so go try it out, dig into the implementations, or contribute support for a new model:
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