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码良
@cxjwin
🔧 富士康流水线月薪 1800 起步,现任大厂 iOS 开发组长 🌍 大厂真实观察、AI 工具实测 📄 转码上岸的真实路径,见置顶文章
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GPT-5.6 Sol sets a new state of the art in cybersecurity on “The Last Ones” cyber range. We’re already seeing that capability translate into defensive outcomes: helping teams find, validate, and fix vulnerabilities in real-world code. Put it to work with Codex Security:
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Kimi K3 has received far more love than we expected, and our GPUs are feeling it. Over the past 48 hours, demand has pushed close to the limits of our current capacity. To protect the experience of existing subscribers, we're temporarily pausing new subscriptions and prioritizing compute for current members. Existing subscribed users are not affected. We're adding capacity as fast as we can and will reopen new subscription spots in batches. Going forward, we'll also split membership into two more focused plans: Kimi Membership for Kimi Web, App, and Work; and Kimi Code Membership for coding workflows. This will help us match compute more precisely and keep the experience stable. Thank you for your patience and understanding!
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Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost 🔹 Built for long-horizon agentic coding and self-evolving workflows Kimi K3 is now live on on Kimi Work, Kimi Code, and the Kimi API. Open Weights by July 27, 2026. 🔗 API: 🔗 Tech blog:
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New moon. New models. Welcome GPT-5.6 Sol, currently in limited preview.
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Claude's biggest weakness in coding just got fixed. EverOS built the solution on a memory layer you can actually read, edit, and inspect. here's what it does: every agent today wakes up with amnesia. Claude Code, Codex, OpenClaw, Hermes — they all start from zero every session. your decisions, workflows, and lessons don't follow you. EverOS is an open-source memory layer that fixes that. and it's a full developer-focused rebuild — easy to run locally, easy to inspect, easy to integrate. the six things it ships in 1.0.0: → Markdown as source of truth: memory stored as readable .md files you can grep, version with Git, and open in Obsidian → local stack: Markdown + SQLite + LanceDB. no MongoDB, Elasticsearch, or Redis needed → dual-track memory: agent memory (skills) and user memory (profile) extracted separately → multimodal ingestion: text, images, audio, PDFs, HTML, email, all unified into searchable memory → self-evolution: repeated workflows become reusable skills without retraining → orthogonal retrieval: search independently by user, agent, app, project, or session but the bigger idea is where it's heading: → Knowledge Wiki: your conversations, files, and decisions become a living knowledge layer both humans and agents can read and reuse → Reflection as Dreaming: agents process past work offline, extract patterns, and wake up better prepared remember → reflect → dream → evolve. memory that's open, portable, and user-owned. it moves across your tools instead of being trapped in one. if you're building agents, coding assistants, or anything that should remember what happened before, this is one of the most practical open-source memory libraries for builders right now. repo is open. star it, run a use case, break it, open an issue 👇 #EverOS# #EverMindAI#
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GLM-5.2 can now be run locally!🔥 The 2-bit model retains ~82% accuracy after we shrunk it from 1.51TB to 238GB (-84% size). Run on a 256GB Mac or RAM/VRAM setups. GLM-5.2 is the strongest open model to date. Guide: GGUF:
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Dearest gentle codexer. We did a sneaky double reset. Not only do you get a full reset on us. But you are also getting one into the reset bank to use at your own leisure. Enjoy
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do what you love and fuck the rest
do what you love and fuck the rest
There will be no AI jobpocalypse. The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it. I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines. Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%. Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable! Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more. Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus. To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market. Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades. Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have). Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future! [Original text in The Batch newsletter.]
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