与「laptop」相关的搜索结果

Given some of the results I'm seeing recently, it's pretty clear Codex is a good harness. But it will seem primitive in 2-3 months and we're about to go through another major evolution in how we use AI at the frontier. The next generation of models need more than your laptop.

I made $98,417 in July 2026. ⭐️ TrustMRR — $44K 📈 DataFast — $26K 🏴‍☠️ Ship or Die — $13K 🧑‍💻 CodeFast — $6K 🐥 Twitter — $4K ⚡️ ShipFast — $4K 🍜 Indie Page — $785 🛡️ ByeDispute — $132 🦐 SuperShrimp — $187 🧾 Zenvoice — $69 🎞️ YouTube — $102 🌱 HabitsGarden — $104 📚 WorkbookPDF — $38 ✂️ Margins: ~85% All-time high for my SaaS and my startup marketplace. Everything is built, designed, and promoted with my little hands while spending 2 hours a day in the gym, closing the laptop at 6 pm, and sleeping 8 hours. Keep going!

We’re celebrating the fast adoption of chatGPT Work and all the incredible effort that went into it today. I’m feeling like a limit reset. Hold on tight to your ultra and /fast and see you in a few hours when I’m back at the laptop!

I don’t think you understand what ChatGPT Voice unlocks I went on a 4 hour hike yesterday. Through the northern California redwoods. Got more work done in those 4 hours talking to Voice through my AirPods then I do in 8 hours at my desk Work can be done ANYWHERE now 45 minute drive back using self driving? Now 45 minutes I can talk to Voice and work on side projects 20 minutes in the cafe? I can sit and talk to Voice and when I get home I have drafts on my computer for my newsletter for the next month Being able to just use your voice to talk to a super intelligence that controls your computer is unlike anything we’ve ever experienced before I don’t even care that the voice sounds human like, or you can interrupt it, or any of the wild advancements they made to the tech It’s the fact that it can control my computer, meaning all I need to get incredible work done is talk through my AirPods anywhere in the world that is the major game changer for me I don’t think people truly understand the implications of this yet Why even have a desk or monitor anymore. Work can be done ANYWHERE now The key is your set up: 1. Choose one device (preferably an always on desktop) as your main “headquarters” device all your work gets done on 2. Get the ChatGPT app on all your other devices (iPhone, iPad, laptops, Mac Minis) 3. Set up ‘connections’ in your settings so that all your ‘node’ devices can control your ‘headquarters’ device 4. Go legit anywhere in the world. Turn on Voice. Ask it to brief you on your projects, give you a recommended next step, then spin up new threads to do work I really don’t think work looks the same moving forward.

On July 14, the Department of the Navy released its Strategy to Weaponize Data and AI: a roadmap to an AI-first Fleet that can "out-learn and out-fight any adversary." Within a week, our team answered with working code. The Navy's new strategy frames data and AI as warfighting assets on par with weapons and munitions, and it prizes one thing above all: turning information into decisions, fast. That is exactly the problem our GURU architecture was built for. So when two Navy SBIR topics called for AI-driven maritime tracking and adaptive sensor management, we pointed at the sea what we had already proven in orbit. The video below shows both prototypes, back to back. First, GURU MarineGuard: 787 real vessels from public NOAA data, replayed through a cascade of learned models that forecast each ship's movement, flag deviations from its learned pattern of life, and hand analysts a ranked review queue instead of an unfiltered flood. The full stack runs on a laptop. Second, an adaptive sensor resource manager add-on to MarineGuard: it measures each radar's marginal contribution to each track, projects the consequence of releasing a sensor task before proposing it, and then waits for the operator. Advisory by design. Both inherit their DNA from OrbitGuard, our system watching 14,710 space objects at the SDA TAP Lab with 94 to 96 percent maneuver-detection accuracy. Same architecture, new domain, days not years. These are prototypes, and we say so on screen. The trajectories are real. The sensor numbers are deliberately notional. No score is a threat call. Showing your assumptions is a capability, not a caveat, and national-security guidance now demands exactly that: AI that is reliable, robust, steerable, and controllable under rigorous test and evaluation. Our doctrine was written for that bar. Learned models accelerate and rank. Validated references confirm and decide. Humans stay in command. One architecture. Space, maritime, autonomous engineering, regulated nuclear autonomy. This is simply the latest sign of what this team fields, fast, where mistakes are not allowed. Sailors, engineers, program folks: what mission should GURU learn next? #DefenseTech# #ArtificialIntelligence# #MaritimeDomainAwareness#

Forgot your password? Lost your phone? Can’t get into your account? You can now use a selfie video to log into your Google Account. The new feature is easy to use and lets you sign in — even if you forget your password or don’t have your usual phone or laptop — with a quick selfie.

But here we get to the thing that will confound looking at human and machine as separate units: the possibility of deeper and deeper integration between human and machine. This is the strand of technology that includes: computers being able to work much more symbiotically with us, picking up on all kinds of conscious and sub-conscious signals we release as an interface, brain-computer interfaces, computer-assisted telepathy that helps multiple people better understand each other and work together. The ultimate end is erasing the binary divide between human and machine and opening up any position on that spectrum. On one end, you sitting at a laptop terminal; on the other end, mind uploading, and also everything in between. The hope is that deeply integrated human + machine will outperform separated human + machine, and that this will remain the case all the way up to the technological ceiling. This is the best "far-future AI outcome that I actually like" that I can come up with: * We preserve global political and economic pluralism (no single company or government dominates) all the way up to the technological ceiling. * We humans each get the ability to either take technological upgrades to ourselves, and explore the universe at a level competitive with "pure" machines, or stay as we are, and get some ability to act in the world through having a bot listen to our instructions. * Most of Earth will probably become a highly-regulated nature preserve where anyone can continue living the kind of life they have now (without the pains and annoyances; most challenge will be healthy "good challenge"), and if you want to do more crazy things, you go to space. Make no mistake - this is a ride through a narrow corridor. Things could go off the rails in one of several different ways: AI-on-its-own could get too powerful relative to the alternatives; one country or one company could gain decisive advantage and decide to lock it in permanently, powerful technological ways of destroying each other could cause incalculable harm, or the human + machine integration approach itself ends up preserving not enough of our humanity, and so it ends up being "just another way to make powerful bots". For these reasons, I wish that we can ride through the narrow corridor at 60 kph and not 200 kph, which is why I feel warmly toward "slowdown" / "pause" proposals (including "give us a chance to hit the brakes" ideas like mutually assured compute destruction (as in AI 2040, also previously Dan Hendrycks, and others)). My ideal world is actually one where (i) open weights wins, and (ii) Dean Ball turns out to be completely right that open weights is decelerationist because it deters capex in frontier models [though it will enable more capex in peripherals and applications], because then we get slowdown without any of the downsides of doing it through heavier-handed political means. But also I don't think we should count on the world to naturally give us "convenient" laws of economics and physics. We do have some degree of agency over the laws of politics, plenty of ways to change incentives without putting a king in charge, and we should exercise that.

¿Por qué Musk odia tanto el trabajo remoto? Porque lo considera inmoral. Puedes quedarte en casa en pijama, con tu café y tu laptop, “produciendo”. Pero quien fabrica el auto que usas, construye tu casa, cocina tu comida o te la entrega a domicilio no tiene esa opción. Ellos deben presentarse para que tu vida funcione. El trabajo remoto no es un derecho universal. Es un privilegio de la clase que trabaja frente a una pantalla: solo ellos pueden desconectarse del mundo real mientras otros mantienen el sistema. Musk va más allá: en la oficina se innova más rápido, se resuelven problemas en minutos y los nuevos aprenden observando a los mejores. En videollamada todo eso se diluye. Por eso en Tesla, SpaceX y X la regla es clara y sin excepciones: a la oficina. No es capricho de jefe autoritario. Es su forma de evitar crear una nueva casta de privilegiados mientras el resto carga el peso. ¿Estás de acuerdo o crees que se equivoca?

微软宣布推出了一款能对标 MacBook Pro 的 Surface Laptop Ultra 笔记本 如果我没有理解错的话，这就是英伟达那个 128 GB 通用内存的 Spark 小盒子被塞进了一个笔记本的壳子，然后去运行 Windows Arm 版的操作系统。。。