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特别喜欢这种刺绣工艺，但是复刻了好久还是没有原图的那种“蚕丝白+奶白”的感觉 Banana Prompt👇 --- [Composition & Structure] A strictly flat, eye-level, straight-on view of a square embroidery masterpiece. A single, continuous, and intricate flowering branch system originates from the bottom center and winds dynamically outward to fill all four corners. The branches are interconnected and flowing. [Crucial Detail: The "Frosted" Branches] The branches are NOT solid color. They are highly textured using complex thread painting. A base of dark sepia and charcoal brown silk threads provides the structure, but they are heavily intertwined and overlaid with raw white and silvery-grey silk threads. This creates the effect of variegated bark, lichen, or a light dusting of snow/frost settling on the dark wood. The texture is rough and organic, contrasting with the smooth birds. [Color Harmony & Light] The overall feeling is "bright, clear, and snowy spring." The glossy pastel colors of the birds (porcelain blue, soft pink, cream) and flowers pop against the matte white background, while the textured, snow-dusted branches bridge the gap between the dark structure and the bright light. [Subject Details] Five highly detailed birds perched on this frosted bough: Top Left: Blue/white jay. 2. Top Center: Fluffy cream/blue bird facing front. 3. Right: Long-tailed red-brown/blue bird. 4. Bottom Center: A cozy pair (blue & brown). [Background & Technique]Pure, high-key bright white linen background. Hyperrealistic thread painting technique. The silk threads have a high sheen, catching the light and casting subtle shadows on the white fabric, emphasizing the raised texture of both the birds and the frosted branches. --ar 1:1

Someone made a Mole review and it genuinely made my day. Andy Hutchinson over at Mostly Mac ran the open-source CLI on his M2, cleared ~13GB, and after six months of daily use called it "no subscription, no bloat, no drama." That means a lot for something I started as a weekend shell script. Huge thanks, Andy. If you make Mac content and want to feature Mole, I'd love to help, reach out and I can set you up with license keys to give away to your audience.

SOMEONE BUILT A WRAPPER THAT LETS YOU USE CLAUDE CODE FOR FREE. NO API KEY. NO SUBSCRIPTION. NO $20/MONTH. IT JUST WORKS. 43.9k stars. 7.3k forks. 871 commits. i opened the repo expecting a catch. a hidden cost. a "free tier" limit. there is none. it grabs the session from the web interface and pipes it to your terminal, routing through 31 cloud and local providers. works in vscode. works in jetbrains. works on your phone. voice input included. you talk, it codes. the $20/month barrier didn't get lower. it got deleted for anyone willing to run a python script. i've been rationing tokens like water in a desert. turns out the tap was never locked. free. mit license. 31 providers. local terminal. voice. zero permission needed.

爆肝制作，全网最细最全的Github零基础系统教程！👇👇 1⃣基础：什么是Github 2⃣基础：找到Github好资源和开源软件的4个方法 3⃣基础：详解界面、stars、fork、watch 这些基本概念 4⃣进阶：搞清楚 GitHub 的工作原理 5⃣进阶：7 种常见的开源许可证和各自区别 6⃣实操：4 种使用 GitHub 项目的方式及用途 7⃣实操：一起手把手创建并且开源你的第一个项目 全程假设你完全没有任何编程的基础， 跟到最后成为玩转github的专家！ 全程精剪没有废话，每一个点都讲透+实操！ 章节划分： 00:43 什么是github 03:21 找到Github资源的4个方法 06:58 界面与基本概念详解 11:38 github基本工作原理：branches，tags 16:17 readme与7种常见的licence 21:26 4种下载使用github项目的方式 27:44 开源你的第一个项目 36:54 结尾

We put explanations in the license that there are no regional restrictions. However, in the EU we follow conventions similar to LTX and Hunyuan; while in the US, due to local laws and regulations and the ongoing legal situation with Disney, users are required to complete an additional form and sign a waiver.

Here is my AI investing guide. Sitting here August 2026, my current best thoughts are as follows: 1. LPS (Land Power Shell) is still the most obvious and fastest path to cash on cash returns. Lots of value can be assembled and traded quickly at this layer. And as data centers get more pushback, energized land can explode in value. Very bullish here. I’ve stepped into this layer very aggressively. My partner @anitavlallian and I have acquired almost 6GW coming online in a ramp from today thru 2029 of grid power and behind the meter. 2. Silicon - I helped get @GroqInc off the ground in 2015 and we licensed it to @nvidia for $20B Dec2025. I won’t invest or incubate anything in this layer now. The perf demands of the chips are too high, manufacturing precision is too complex and supply chain influence to get adjacent components like memory isn’t possible for a startup anymore. Lots of capital will be wasted here chasing Groq and Cerebras’ success. Note that both startups made sense a decade ago when these constraints were much more modest. 3. Clouds - Clouds are very very lucrative but very hard to build and very expensive and technically complicated to maintain. And as alignment becomes a more important issue, I expect the clouds will be asked to build robust KYC and attest to it. This makes the risk:reward ratio skewed. I don’t want to be responsible when the USG says a cloud allowed a bad actor to do something bad because of poor KYC. 4. Models are complicated. The big open question is how much of the revenue being generated by them today is because of tokenmaxxing and poor model behavior. If it’s a lot, then the annualized revenues will diminish meaningfully even as token consumption inflects upwards. This is the big economic question at this layer. 5. Harnesses are where the action is and why I started @8090solutions two years ago. In a nutshell, the harness helps enterprises owns their proprietary context (what Alex Karp calls their ‘alpha’). This is an enterprise’s data, workflows, evals, and business rules. A harness that gives this to an enterprise is what creates very low model-agnostic switching costs, which further reinforces my views of #4# above. 6. Applications will be another long term winner along with harnesses. This is where the differentiation between “off the shelf” and “custom time and materials” melts away. Every company, with the right harness, can now imbue their alpha into the software that runs their company. I expect this to mean that “off the shelf” is largely replaced with custom software creating a huge opportunity to write these solutions for companies. Build once and sell repeatedly is a laggard GTM motion for a SaaS world that isn’t needed here. Think custom by design, alpha embedded, proprietary by nature. Fin. Good luck to all the players!