与「IDEA】」相关的搜索结果

OK let’s try this: ———————- Pretend you’re 5 and the algorithm is a smart robot that picks which toys (posts) to show you in your toy box (For You feed). The robot doesn’t just count how many times people already played with a toy (likes, reports, etc.). Instead, it looks at you and guesses: • “How likely is this kid to like this toy?” • “How likely is this kid to report this toy as yucky?” • “How long might this kid play with it?” Those guesses are little numbers between 0 and 1 (probabilities). The “weights” are like special multipliers the robot puts on those guesses: • A like-guess might get multiplied by a small number (like 0.5). • A report-guess might get multiplied by a big negative number (like –234). Then the robot adds all those multiplied guesses together to give the toy a final “yay or nay” score and sorts the toys by that score. Why the numbers look so big and why people get confused Reports almost never happen, so the robot’s “will you report this?” guess is usually a tiny number (like 0.0001). To make that tiny guess still matter a little bit in the final score, they give it a big multiplier. People sometimes look at the big number and think “1 report = 468 likes!” 
That’s wrong. It’s not counting real reports or real likes. It’s only multiplying the guesses the robot made about you. If the robot thinks you’re the kind of person who almost never reports anything, even a big weight on “report” barely moves the score. The whole thing is personalized to how you usually behave. The people who wrote the code even put big comments in the GitHub repo so no one (and no other robots) gets confused about this again. That’s the whole idea in kid words: the weights turn the robot’s personal guesses about you into a ranking, not a simple “count the hearts and flags.”

🚨NEW: Joe Rogan says he personally knows 5 women who got miscarriages after taking the COVID vaccine, calling Fauci a “sociopath.” “He knew that women were getting miscarriages and he lied about it.” “He said privately in a text message it seems there’s a cytokine storm causing miscarriages after the second dose and was publicly out there promoting the idea of pregnant women getting vaccinated.” “I personally know 5 different people who got pregnant during the pandemic, got vaccinated, and had miscarriages.” “That guy’s a sociopath.” “You need to go and objectively read up on what that guy did with AZT and AIDS in the ’80s.” “He knew there was an issue with women having miscarriages and that mother f*cker still openly promoted it on television.”

The bottleneck in software development is increasingly feedback latency. Across product, design, engineering, and QA, every handoff adds latency and late feedback makes changes more expensive. The software factory model changes this: product, design, engineering, and QA operate in the same execution loop, with shared context and continuous validation. That means fewer handoffs, faster decisions, and a shorter path from idea to production. I wrote about why I think this is becoming the next operating model for software teams and what it means for how we design the software factory itself. Would also love to hear how your team is reducing feedback latency. Link to the blog in comments

Six years ago, President Trump launched the Abraham Accords and opened a new chapter of peace, partnership, and prosperity in the Middle East. Many said it was impossible. But with courageous leadership, persistence, and a small group of people willing to challenge old assumptions, we proved that the impossible could be achieved. For too long, the region was trapped by old ideas and failed frameworks that managed conflict rather than solved it, and too often created incentives that perpetuated division and instability. The idea behind the Abraham Accords was simple: instead of reinforcing the things that divide people, build bonds that bring them together. Increase understanding. Expand trade and investment. Deepen security cooperation. Create tangible benefits that make people’s lives better and give everyone a stake in peace. What began as a bold vision has delivered billions in trade, joint innovation, new friendships and partnerships, and a powerful alternative to the failed approaches of the past. The Middle East is once again at an inflection point. There are breakthrough opportunities today that many will say are impossible. But we have seen what can happen when leaders reject conventional thinking, focus on common interests, and have the courage to pursue a better future. The Abraham Accords showed that a different path is possible. Now we have an opportunity to build an even broader movement around cooperation, shared prosperity and security—and replace the failed ideas of the past with a new model that gives people across the region something better to believe in and build toward. We surprised the world once. With the right leadership, focus, patience and courage, I believe we can do it again.

🧩 DeepSeek Harness v0.1 is now available in Developer Preview! 🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license. 🔹 Powered by the Cordis meta-framework, DeepSeek Harness is an agent harness built around one core idea: Everything is a plugin. Models, tools, skills, sessions, sandboxes, filesystems, loops, orchestration, and UI are ALL implemented as plugins, and can be mixed, matched, replaced, and extended. Try it now!

GitHub acaba de solucionar el mayor problema del vibe coding. Acaban de lanzar Spec Kit y en poco tiempo ya tiene +126K estrellas. ¿La idea? En vez de tirar prompts vagos y rezar para que el agente no rompa tu proyecto… Spec Kit obliga a la IA a crear una especificación estructurada ANTES de tocar código. La IA primero entiende lo que quieres construir, pregunta lo que falta, organiza el proyecto y después empieza a programar. Eso significa menos tiempo arreglando errores absurdos, menos código inconsistente y resultados mucho más predecibles cuando trabajas con agentes. El flujo es simple: /constitution → reglas y estándares /specify → qué quieres construir /clarify → dudas antes de empezar /plan → arquitectura y stack /tasks → tareas ordenadas /implement → ejecución Compatible con Claude Code, Cursor, Copilot, Codex, Gemini CLI y +25 agentes. 95K estrellas. 8K forks. Open source. Publicado por GitHub. Enlace al repositorio👇

❤️‍🩹🇦🇷 Leo Messi: “Dad, you kept asking me to play in one last World Cup… just days before it began was when your condition got worse”. “It was the first time you weren’t going to be there with me at tournament… but Mom kept telling me you were going to get better and that you’d be well enough to travel”. “I kept telling you we were going to reach the World Cup final so you could make the trip, this was my mission once again”. “After every match, I waited for and missed your message. That’s when I realized how serious the situation really was”. “I couldn’t stop thinking about going as far as possible, give you more time and the chance to watch one of the games”. “We reached the final, but you couldn’t be there. I wanted to win it so I could bring the trophy to you and show you another one. I couldn’t”. “My legs just couldn’t give me any more”. “This time I tried to push beyond what my body could handle, but I couldn’t”. “I never managed to feel physically right”. “We didn’t become champions Dad, but you have no idea how much we enjoyed every match. Once again, you were right: I had to be there and play in it… as you told me, always”.