Jason Zhu (@GoSailGlobal)

AI can generate beautiful clips. But filmmaking needs direction. Introducing Topview Film Studio: the cinematic generation suite for AI filmmakers. 🎬 Direct micro-expressions. Set the camera. Block the scene in 3D. Refine portraits to remove the AI look. Topview Film Studio brings these film-grade controls into one cinematic canvas. Stop prompting clips. Start directing shots.

说实话，我每天都在到处找工具、到处学习。 收藏了很多教程，试了很多 AI，研究了很多账号，看起来每天都很忙。 但真正需要研究的产品，我没有深入研究。真正能解决的问题，我也没有解决几个。 后来我才发现： 忙，不等于在进步。 学习很多，也不等于真正拥有能力。 有时候，找工具只是逃避做难的事。 接下来我想给自己定个规矩： 少收藏一个工具，多解决一个具体问题。 少做一点计划，多交付一个真实结果。 该做的事，先做起来。

AI 赚钱指南（2026 版） 上游：卖资源 • 电力 • 数据中心 • GPU / 算力租赁 • 模型训练 • 模型 API • Token 转售 中游：卖能力 • Agent • Workflow • SaaS • 垂直应用 • 企业解决方案 • AI 外包与咨询 • 定制开发 下游：卖结果 • 帮企业赚钱 • 帮企业降本 • 帮个人提效 • 帮个人找工作 • 帮创作者涨粉 • 帮老板做决策 流量层：卖注意力 • 广告 • 自媒体 • Newsletter • 社群 • Affiliate • Sponsorship 教育层：卖认知 • 课程 • 培训 • 咨询 • 陪跑 • 企业内训 情绪层：卖陪伴 • AI 心理咨询 • AI 陪聊 • AI 陪伴 • AI 情感产品 资产层：卖可复制产品 • Prompt • Skill • MCP Server • Workflow 模板 • Agent 模板 • 数据集 • 数字商品 • 开源项目商业化 本质来看，其实所有 AI 生意最后都会落到五种交易： 卖资源，电、卡、Token。 卖工具，模型、SaaS、Agent。 卖服务，咨询、交付、定制。 卖流量，广告、媒体、社区。 卖信任，品牌、教育、陪伴。 AI 只是新的生产工具，赚钱的逻辑几乎没有变 变化最大的地方，是越来越多的行业开始从卖时间，转向卖自动化、卖结果、卖信任

🚨 FOUNDER BUILDS $10M AI STARTUP IN JUST 150 DAYS Polsia has released a behind-the-scenes look at how founder Ben scaled the company to a $10 million run rate in just 150 days. The video follows his journey from Paris to San Francisco, showing how he used Polsia's own AI agents to help manage fundraising, operations, and day-to-day execution while building the company. It's a real-world example of AI being used not just to build software, but to help build and run an entire startup. Polsia is cooking something much bigger than an AI coding tool it's building the operating system for the next generation of AI-native companies.

Prompts aren’t enough when your shot needs precision. With Topview 3D Shot Composer, you can visually stage characters, props, and camera framing before generating your video. Less guessing. Fewer rerolls. More predictable shots. 🎬 Stop describing your shots. Start directing them. #TopviewAI# #AIVideo# #AIFilmmaking# #AIStorytelling# #3DShotComposer#

Elon Musk just pulled off the biggest AI power grab of 2026. Tesla is capping every employee at $200 a week on AI spending starting Monday, July 6. Media's celebrating it as cost control. But what Elon actually built is an expense policy that redirects his own engineering workforce off Claude and onto Grok, while every competitor gets throttled by internal procurement rules. Here's what happened: Tesla spent the last six months pushing engineers to use AI as aggressively as possible. Leadership built an internal platform called Bottle Rocket that gave employees access to Claude, GPT, Gemini, Grok, and Cursor. They gamified adoption by ranking engineers on internal leaderboards by how many AI tokens they consumed. The strategy worked. Software engineers started burning THOUSANDS of dollars a week on Claude and Cursor. Then the invoices arrived and Tesla panicked. But they didn't pull the standard cost-control response... The loophole: The $200 weekly cap does not apply to beta products from xAI. Grok is completely exempt from the cap. Anthropic's Claude, OpenAI's GPT, and Google's Gemini all get throttled at the same $200 line. Four Tesla engineers told Electrek that internal usage overwhelmingly favors Claude over Grok. That preference is about to become financially punishing overnight. The genius part: This quarter SpaceX is closing a $60 billion all-stock acquisition of Anysphere, the parent company of Cursor. The moment that deal closes, Cursor's Composer coding model falls under the same Musk-controlled ecosystem, and any Tesla engineer choosing between a capped Claude session and an uncapped Composer session will pay a financial penalty for using the tool they actually prefer. By exempting only his own products from the cap, Elon is using Tesla shareholder money to build market share for xAI without ever having to disclose that is what he is doing. Because on paper, it is cost control. Now zoom out to what this signals for the wider AI narrative: Uber capped employees at $1,500 a month after burning $3.4 billion in four months. Meta introduced spending caps. Amazon and Walmart pushed staff toward cheaper models. Microsoft canceled Claude Code licenses across 100,000 engineers. Every Fortune 500 that pushed heavy AI adoption in 2025 is now rationing it in 2026. Meanwhile Nvidia is trading at a $5 trillion market cap. That entire valuation assumes enterprise AI consumption is about to explode across the economy. But every company actually deploying AI at scale is telling their own engineers to slow down. One of these narratives is lying. Goldman Sachs still forecasts a 24x increase in token consumption by 2030. Gartner says total enterprise AI costs will keep climbing because agents consume exponentially more tokens per task. Jensen Huang keeps repeating that 100 AI agents will work alongside every employee. And now the CEO of the most agentic company on the planet just told his own engineers they cannot spend more than $200 a week on the tools those agents need to run. Retail investors buying Nvidia and Palantir today are betting enterprise AI adoption compounds without limit. The CEOs deploying AI inside those same enterprises are betting the exact opposite, in writing, by internal memo. Thoughts?

外链dofollow x 相关 x 流量 x DR的16种组合，你值得做的就五种 #1# #2# #3# 拿权重 #9# #10# 拿流量 避开这两种： #7# 高DR链接农场 #15# 高profile农场

Introducing Mixture of Agents 2.0 in Hermes Agent. Combine any provider's models into a mixture of your own. Access your presets as if it were a normal model in Hermes. Big improvement in our soon-to-release HermesBench against opus and gpt-5.5 with MoA using Opus & GPT together.

doubao-seedance-2.0-mini 已经上线，价格是官方的原价，并且"不卡人脸" doubao-seedance-2.5 预计 7 月份上线，到时候还是官方原价，如果豆包官方放开了，可以有折扣，平台也会给大家弄折扣的，在没有折扣的时候给大家原价使用，并且不卡人脸 该字段(tools)官方尚未明确支持 doubao-seedance-2.0-mini，暂勿使用，否则可能报错，待官方确认后再更新说明。 官方域名： 中国大陆可使用域名：