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It is extremely likely that AI will change employment, society, culture, and the world. However, businesses built around it will remain subject to ordinary constraints. We will soon have new superintelligences that can solve impossible problems and help with new miracles. This will open up a lot of niches to fill.
The hacker group known as TeamPCP tainted hundreds of open-source programs with its malware, stole developer accounts to perpetuate that software supply-chain hacking, and released a Dune-themed worm to automate the process. They ultimately breached more than a thousand companies. During a key moment of the group's rampage, an undercover researcher from Google infiltrated the group. This allowed Google to monitor the hacking spree from the inside, warn targets, and help disrupt TeamPCP's attempts to exploit victims.
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Pacing the frontier happens to address several distinct problems faced by the frontier lab.
Meta's Muse app on mobile devices has been downloaded more times in the US and Canada in its first 12 days on the market than ChatGPT was in the 12 days after its debut.
We are likely just a few months away from some kind of personal assistant AI within Google Search.
Models that were previously out of reach are starting to be able to run on hardware people already own.
Amazon's Conditions of Use do not allow continued access by unauthorized AI agents.
Markdown has many nice properties that make it similar to traditional source code.
Apple is set to introduce a smart home screen as early as next month. The display will serve as a hub for the home, bringing together connected-device controls, video calls, intercom capabilities, media, and access to Apple services and apps. It will feature a new operating system built around Siri AI. The device is currently being tested widely in employees' homes.
Anthropic has confirmed that it has a wet biology lab in the Bay Area where it uses AI models to run physical experiments. The lab's main focus is on fundamental biology rather than drug discovery. Anthropic is working on some research in the lab with external partners. The company has launched a Life Sciences Verification program to give vetted bio researchers access to its most powerful models.
Elon Musk's Boring Co. venture is working on a tunnel project in Texas to connect Austin and San Antonio. It has also raised $3 billion to support the development of underground transportation infrastructure across the United Arab Emirates. The company is building tunnels in Bastrop, Texas, to link Musk-owned properties and allow the employees of his companies to travel between them.
China's HL-4 tokamak is designed to achieve steady-state burning operation. It is aiming to become the world's first high-temperature superconducting, high-field steady-state burning experimental platform. The project's goal is to verify the reliability of high-temperature superconducting magnets under complex fusion conditions. Once the core scientific and engineering questions are validated, the program will construct a demonstration reactor to prove the technology commercially.
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You never want to be in a situation where people don't know what you are working on. However, instead of talking too much about work, assume everyone around you is operating in good faith and try to be a good teammate. Move away from an outcome-based mindset to a momentum-based mindset - by getting momentum going and fixing your relationships with people, you get stamina. Go for reliability and take the burden off your teammates and manager, because once you build that trust, they will give you bigger work.
AI will make many parts of the current software development environment obsolete. However, the craft of building software will become more important than ever. Models will become so fast that UI will be generated on the fly. It will take a while for this to happen. However, by that time, while people will still be employed to write code, it might not be such a desirable career anymore.
Palantir vertically integrated deployment to build the capabilities and process knowledge required to make building institution-specific economic computers as easy to build as possible. Vertical integration is fine if it's the only way to get permissioned access to the ground truth knowledge needed to help customers and society uncover new, valuable secrets. However, used to rent-seek, concentrate power, or build your customers' or partners' replacement, it jeopardizes the whole promise of economic computing: making progress programmable in a way everyone can contribute to and own. It also reduces institutional fitness and creates a broader neglective selection pressure in society.
People turn off their brains when they use LLMs. People assume the code they write will just work, and then if it doesn't, they ask the LLM to figure out the problem and solve it. Being a meat proxy is surprisingly effective now. If models keep improving, companies will be able to just run LLMs in a loop and lay off the employee.
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Society should refuse to outsource moral responsibility to any class of people who claim a special competence and authority to calculate, accelerate, democratize, liberate, harmonize, or otherwise determine the 'correct' future.
If your arguments can justify anything, then your arguments imply nothing.
AI labs are simultaneously competing for mathematical results, selling mathematical assistance, and controlling most of the information required to evaluate either.
Every Firefox fork needs to commit to working together to maintain a hard fork isolated from Mozilla if the independent, non-slop web has any future at all.
China's views on American AI have grown more cynical, but that doesn't mean we should be pessimistic about safety coordination.
GitHub continues to suffer collateral damage from the AI boom.
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Anthropic claims that its Claude chatbot drives more than a quarter of its research and development work. There are over 30,000 agents doing research and engineering work at Anthropic at any one time. Its staffers collaborate with the chatbot for about 90% of their work. The company is trying to create a framework to track agents and monitor the amount of work they do.
Huawei plans to release two new AI chips next year. The company has now shipped more than 1,000 of its AI-computing systems to over 370 customers. China's AI chip market is projected to grow to $67 billion by 2030. Huawei's chip-making technology still trails Nvidia's, but the company is developing workarounds and new designs to squeeze in more computing power while using less advanced equipment.
Helix 2.5 is an advanced neural network pretrained on Index, Figure's global-scale dataset of human behavior. It can tidy living rooms, fold towels, and make beds in homes it has never seen. The model is the first evidence that whole-body intelligence can be learned from human experience and transferred to new scenarios. Index is now generating roughly 35 minutes of new human experience every second - if Helix 2.5 is any guide, more data and compute should translate directly into more of the physical world learned before a robot ever enters a new home.
The differences between the versions of the Raptor rocket engine are stark. Many people initially didn't believe SpaceX when the company released a picture of the three generations of the design. The streamlining of the design also brought meaningful gains in performance - the Raptor 3 provides about 35% more thrust than the Raptor 1. This article looks at what specifically SpaceX changed that allowed it to take the Raptor from a tangle of wires and pipes into the svelte, streamlined engine it is today.
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Researchers chained two critical vulnerabilities to compromise multiple OpenAI employees' ChatGPT accounts in July. The accounts could access internal OpenAI repositories and potentially many other connectors. They used one employee's Codex to open a PR in OpenAI's internal monorepo. This post provides a full timeline of the disclosure process and details about how the vulnerabilities were discovered.
The release notes on the WebKit features for Safari 27.0 are the longest yet, detailing 83 features, including Safari MCP. Safari MCP makes working with coding agents dramatically easier. It gives users' agent of choice control over the browser window so it can see how code renders. The MCP provides access to the DOM, network requests, screenshots, and console output, allowing agents to do more with less effort from users.
Crusoe built one of the world's biggest AI supercomputers in Abilene, Texas. The company is now investing heavily in smaller data centers. It is manufacturing them in factories, loading them onto flatbed trucks, and deploying them wherever it can find available power. The company believes this is a faster and cheaper method than solely relying on large construction projects. Giant clusters with hundreds of thousands of chips are useful for training, but inference can be done with considerably smaller amounts of chips.
Anthropic's Mythos model sparked a shift within the White House as officials started realizing that AI can be used to launch cyberattacks and pose national-security threats. White House officials and AI executives are working on regulatory efforts, but when they disagree, the executives have gone directly to Trump. Trump has remained resolute that the nation needs to accelerate AI development and continue to build the data centers that are powering the AI boom.
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You can turn any LLM into a System One model by batching prompts that generate a single token with structured output.
Bend is a language for communicating intent to AI.
The agreements provide each of them with 12 months of base salary paid out as a lump sum, an accelerated vesting schedule for their equity, the ability to exercise their vested stock options, and another year of health coverage.
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Bitcoin's quantum migration is a question of how to minimize total property-rights violations once elliptic curve signatures no longer reliably authenticate rightful ownership.
Code review used to be slow, but agentic review took that bottleneck away almost entirely.
Use your own words, don't let the model trick you into thinking your draft is good, and let the model act as a copyeditor.
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Apple is working on an AI server powered by its M-series Ultra chips. It is expected to be released in 2029. The enterprise server will come with either two or four M8 Ultra chips. The project, which received support from John Ternus when it began a year ago, back when Ternus led Apple's hardware engineering efforts, will be Apple's first server to hit the market in nearly two decades.