Gaming is the single biggest opportunity in AI right now 2027 will be an absolute gold rush for anyone who dedicates the time to build a game with AI Gaming is BY FAR the biggest entertainment industry on Earth Double the size of the ENTIRE movie, music, and U.S. sports industry combined (NFL, NBA, NHL, MLB) Over the past year the economics of gaming has completely collapsed. Despite the industry making over $200 billion a year, it has become completely unaffordable to make good games anymore The work needed to make a detailed game that keeps up with today's tech is beyond comprehension This is where AI comes in. AI fixes those economics AI allows solo devs to build the AAA games of their dreams with very little resources. The thing is the gaming industry up to this point has completely rejected AI. This won't last much longer though. Disruption is coming and quite literally nothing is going to stop it The first domino fell today. Asha the CEO of Xbox announced Xbox Labs today. This appears to be one of the first times a major gaming brand is embracing the disruption (for the record Asha has done an INCREDIBLE job being the shepherd of the Xbox brand) It is so painfully obvious where all of this is going. In the next 12 months every digital game store will be filled with AAA quality, incredibly fun games built entirely with AI by a single developer The $200 billion flowing through the gaming industry will be redirected from massive studios with thousands of devs to solo developers/small teams embracing the latest tech The largest entertainment industry in the world will be 100% owned by indie AI developers. Hundreds of billions of dollars up for grabs And unlike other sectors of software, gaming has built in moats. One of the last moats in software will be network effects If I build a community based piece of software that has a million users and you build the exact same piece of software and it has 0 users, everyone will buy my software instead Gaming encapsulates this perfectly. If you build a banger multiplayer game that has millions of players, even if someone copies you and builds the exact same game, you're going to win because of network effects This is one of those moments. One of those moments where the future is so obvious and so clear. AI is about to disrupt a multi hundred billion dollar industry and every penny of that will be up for grabs. There is absolutely no reason why you can't be one of the people who capitalizes on this Download Claude Code. Download Codex. Whatever your choice is, just get it. Then start building the game of your dreams GTA 6 will be a landmark game for many reasons. One of those reasons is it will be the one of the last AAA games from a massive developer studio. That model doesn't work anymore. The new model is you. A person with an idea and access to the most powerful technology ever created. Don't screw this opportunity up.

影视飓风 Tim 演示字节最新世界模型 世界模型到底是有没有实际作用？ 今天到影视飓风Tim讲了下： 1. 造一个世界，并与之互动 2. 将老电影作为一个世界模型，随意控制电影运镜 3. 打开任意门，进入梦想中的世界 4. 让机器人在虚拟世界里学会操作，包括自动驾驶 5. 带上 VR 眼镜，让医生等职业可以模拟学习 不愧是Tim，几分钟就讲清楚了

我靠，重新安装 Omarchy 到 NVMe 的 SSD 盘上，开始改东西，结果跑了几个 cargo 任务，系统 load 飙到 1000 以上了，完全卡住了。而 CPU 才 15% 不到。 分析了一下发现磁盘写入效率才 300 Mib/s，还没之前 SATA 快。 接着发现 Omarchy 流程安装的磁盘，没开启加密层的 TRIM 透传，SSD 收不到“已删除的空间可以回收”的通知，修复后，写入速度从 1.7 G/s 提升到 3.2 G/s。 相关修复 PR：github.com/basecamp/omarchy/…

Just released Spark Tools 🛠️ An open-source simulator + lab for testing inference changes on DGX Spark before spending time on a full model boot. • Predict decode-cycle performance from calibrated kernel costs • Compare runtime configs and flags with an A/B/A′ harness • Replay MoE routing, TP rank failures and scheduler behavior • Statically inspect GB10 CUDA kernels, PTX/SASS, registers and spills • Run quality panels with explicit pass/fail rules • Use most of the toolkit on macOS or Linux without a GPU Built while optimizing full GLM-5.3 on 4× DGX Spark. Some tools are model-agnostic; the simulator and MoE replay need calibration or model-specific shapes. Everything is packaged with examples, tests and credits: github.com/knapcio/spark-too…

personal agent 的 GTM 面向大众市场是错的，应该像早期 superhuman 一样面向时间比钱金贵的高净值人士，专注解决他们的细分场景而不是泛化到普通大众。一个 rule of thumb 是，找到那些正在真实雇佣助理和管家的人，全力满足他们数字世界的工作生活需求，而不是试图给没有这种需求的人安排一个私人助手，那只是在为并未寻找解决方案的人提供解决方案，典型地满足了伪需求。

Been running a beta version of Campfire rewritten in Rust today! The code itself is still ugly as sin, and 6x as verbose, but the conversion was free*, and I never had to look at the Rust directly, so this is awesome 🤩 github.com/basecamp/once-cam…

🚨DeepSeek 被曝正在开发轻量级开源小模型。 据知情人士透露，梁文锋近期向投资人表示， @deepseek_ai 内部正在测试一款轻量化模型，而且这东西已经可以在普通游戏显卡上稳定运行。 更关键的是，内部测试显示，这款模型已经能够处理用户绝大多数日常任务（Agentic任务？）。 这就有意思了🤔 DeepSeek 过去给人的印象一直是：用更少的算力，把大模型做到尽可能强。 现在看，他们可能还在继续往另一个方向做：轻量级开源小模型。 不只是把模型做便宜，而是直接把模型压到消费级 GPU 上（但5090和4090现在已经不算消费级显卡了🤣）。 目前这款模型还没有公布参数、名称和发布时间。 如果最后真的能做到“一张游戏显卡（别5090就行），本地解决大部分日常任务”，那 DeepSeek 下一步卷的可能就不是 API 价格了，而是本地 AI 的成本底线。 真做成了，我愿意把梁圣纹在身上😭