Motorola’s latest Razr Ultra proves that its flip foldable format has evolved to become more than just a nostalgic gimmick. I’d understand if you’re not interested in shelling out $1,499.99 for the 2026 model, but the similar 2025 Motorola Razr Ultra with 512GB of storage is a much more palatable $699.99 unlocked at Best Buy […]

Large exchanges are designing derivative products around AI tokens, which are increasingly being considered less a computational output and more a raw material input, like electricity or bandwidth.

the video generators are becoming much more powerful, only unemployed people can track the changes ( like me).. Here are the current observations, and add anything in the comments if you feel I missed something. Cinematic Videos Seedance 2.0 : This Chinese model is fantastic in real visuals and advanced visuals, almost like real shots. I guess this will become the future. Kling 3.0 and kling motion transfer: Motion transfer is amazing, you shot a vidoe yourself and can trasfer the movement any avatar. Kling is the king in that aspect. With Kling’s motion transfer, . There is no other technology that can do this this well and look super fantastic. Veo3 : Recent releases of Veo 3.1 are still some of the best videos. Sora has shoted down by openai, and recent Google model, - GeminiOmni , is the best in video editing. It is like Nano Banana for videos. It is absolutely fantastic. Don’t compare this with Seedance because the purpose is completely different. If you try it on your own video and ask it to add something, it gives a super realistic output. Explainer Videos These are not cinematic, but mostly for concept explanations and long videos. These tools are great fit: Distilbook : This one is very good at creating visual explanations with whiteboards and animations based on your content, PDFs, and all. If you want long videos, like 3-minute or 5-minute training videos,academic this is purpose-fit. NotebookLM Video overview : This tool has the video overview option, which makes things much easier for you. It is mostly for slide-type videos, but it still gets your work done because most of the time you may not need animated videos. MathGPT: Here it is mostly for math educational video explanations using some animations. These are not very advanced, but still, if you want cheap educational videos, maybe it can do the job. Images In my personal opinion, - The recent GPT image model is fantastic. Second, the Google model Gemini Nano Banana Pro and Nano Banana Flash 2 are b

As Apple tries to shrink Gemini for the iPhone, a cloud component is probably inevitable.

I have spent the last few months working on infrastructure and tools to give agents global ids, and the ability to communicate. That is up and running now, but actually structuring their work together has been a real pain: I still have to give them roles and responsibilities, and start the agents in the right directories with the right id so that the actually get things done. I have automated that part now: a team can be bootstrapped from a template with one command: aw team bootstrap https://gi

For a long time, I thought productivity was about effort. Work harder. Focus more. Stay disciplined. Manage time better. Most productivity advice is built around some version of this idea. Then I noticed something strange. Some days I could spend ten hours at a desk and accomplish almost nothing. Other days I could spend three hours working and make more progress than I had all week. The difference wasn't effort. The difference was context. The Most Expensive Thing Is Not Time Ask people what their most limited resource is and most will answer: Time. But for knowledge workers, engineers, researchers, writers, and designers, I think the scarcer resource is often something else. Mental state. The ability to hold a problem in your head. The ability to remember why a decision was made. The ability to see connections between ideas. The ability to continue a train of thought without interruption. That's the state where meaningful work happens. And it's surprisingly fragile. Every Context Switch Has a Cost Imagine you're debugging a difficult issue. You've already: read the logs inspected the code traced the requests formed a hypothesis You're finally starting to see the shape of the problem. Then: a Slack notification arrives someone schedules a meeting an email requires attention a different task becomes urgent The interruption itself might only take two minutes. The real cost is what disappears. The mental model. The momentum. The partially constructed map inside your head. The next time you return to the task, you don't continue where you left off. You rebuild. Software Often Creates The Problem It Tries To Solve One thing that surprised me after building products for years is how much software exists primarily because other software creates friction. A note-taking application exists because memory is limited. A task manager exists because priorities change. A research assistant exists because information is fragmented. Many tools are not solving fundamental problems.

HEY, so im trying to connect my chatbot (Custom Coded) to instagram API using webhooks but im unable to test it my pm2 logs shows (second image) and in my first image, i feel like the AI is just completly lying because i have been trying this for 2 days and he keeps on adding stuff and stuff now its just saying you cant test in development at ALL my facebook and instagram is connected facebook account is also connected to developers facebook and i believe so everything is enabled from my side My thought process is that im using wrong APP_SECRET and ACCESS_TOKEN combo because there are like 4 places that can be used to generate access token and ID and app secret and its so badly designed that i cant figure out what is what. very frustrated honestly. submitted by /u/Jumpy_Paramedic2552 [link] [留言]

The ESC collection lets you escape the confines of your desk and get out into the sun where good ideas are bound to happen. The post Still a developer. Just outside. Our latest GitHub Shop collection is here. appeared first on The GitHub Blog .

Amazon is turning a corner with its launch providers, but ULA's Vulcan remains grounded.

Spotify's new features aren't AI slop for a change

A new way to review PRs, directly inside Linear Discussion | Link

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CEO Ariel Katz argues that while AI can replicate workflow SaaS, it can't copy H1’s unique doctor data.

The most memorable part of 007 First Light is something that's typically pretty boring: the tutorial. In many games, you're forced through a series of tedious lessons in how to play, presented in a way that feels disconnected from the story itself and at a plodding pace. But First Light does something different. Because the […]