rj

[Ubuntu @ubuntu]

35 years strong. 🐧🧡

Happy birthday, Linux.

[Peter H. Diamandis, MD @PeterDiamandis]

The best longevity advice right now is embarrassingly simple: sleep 8 hours, move your body, eat real food, manage your stress, and cultivate an optimistic mindset. Don't die from something stupid.

[蛋黄堡 @Hamburgerai]

很喜欢这种把旅行照片收进田野笔记里的方式。
照片留住现场，旁边那枚略微缺墨的彩色橡皮章，只刻下最值得记住的轮廓。
树、穹顶、海岸都没有被讲满，反而像旅途中随手盖下的一页，安静，又很有地方感。

prompt：
请将我上传的每一张照片分别制作成一张独立的「橡皮章旅行田野笔记海报」，每张照片单独输出，不要多图拼贴。

整体采用4:3横版构图，将画面划分为左右两个区域，但不要绘制明显的分隔线。

左侧约占画面58%，忠实保留原始照片。准确保持主体身份、地形、建筑、植物、人物、空间关系、自然光影、真实质感和原有色彩氛围，仅进行克制的艺术出版物级摄影调色，并加入极轻微的细腻胶片颗粒。为适配版式可以自然裁切，但不得拉伸、扭曲、移动、替换或重新绘制主体。

右侧约占画面42%，使用温暖的米白色旧纸作为背景。纸张具有细微纤维、天然颗粒、轻微使用痕迹和哑光触感，同时保留大面积未经印刷的纸张留白，让空白成为版式的重要组成部分。

分析原始照片，从中提取最具地点辨识度的主体轮廓、建筑结构、地形走势、植物姿态、道路、水岸线或其他关键视觉关系，将其压缩成一枚小型多色橡皮章图像。

不要逐项复制照片中的全部内容。只保留能够让人一眼认出原始地点、主体和场景关系所必需的最少信息。删除人群、车辆、密集窗户、重复建筑、细碎植被、装饰构件和无关背景。

章印位于右侧纸张区域的中下部，整体只占右侧区域高度的约30%—38%，周围必须保留充足留白。章印不能放大成普通插画、完整风景画或品牌Logo。

根据原图构图决定章印的组织方式：

- 标志性建筑：保留最有辨识度的外轮廓、屋顶、穹顶、拱门、塔楼或主要结构。
- 山地聚落：将建筑压缩成沿地形排列的少量阶梯状色块。
- 海岸风景：保留山体走势、聚落层级、岸线和少量断续水纹。
- 城市远景：保留主要天际线、一个标志性建筑及一两层远山。
- 自然景观：保留主要山体、树木、水岸或道路的方向关系。
- 近景遮挡物：如果其对原图叙事重要，可作为前景章印轮廓保留。

从原始照片中提取2—4种专色油墨。优先使用炭黑、深绿、砖红、赭黄、灰蓝、灰褐等经过降低饱和度的颜色，但不得强行套用固定色盘。保留原照片最有辨识度的色彩性格，仅允许一个小面积颜色作为视觉强调。

每一种颜色都要呈现为分别手工盖印的效果：

真实橡皮章雕刻纹理、手工刻痕、粗细不均的排线、轮廓缺口、断裂边缘、干燥缺墨、纸张透底、颗粒状油墨、压力不均、局部重影，以及约1—2毫米的轻微套色偏移。

不同色层之间允许出现自然错位，边缘不能数字化平滑。印迹应像真正刻制后压在旧纸上的橡皮章，而不是套用滤镜的照片、平滑矢量插画或线稿Logo。

根据照片中的地点、主题和视觉意象生成文字：

地点英文名称
No. 编号
三个简短英文关键词
西元年份

文字放在章印下方或邻近留白处，使用小型、克制、略带机械误差的打字机字体。排版应像旅行者的田野记录，而不是广告标题。确保所有文字拼写准确，不添加无关标语、品牌或装饰性文案。

整体气质像建筑师、旅行作家或自然观察者保存的田野笔记：安静、克制、触感真实、地域明确、带有手工误差和收藏感。照片负责记录现场，章印负责留下记忆中最值得辨认的部分。

Avoid：明显的中央分隔线、圆形印章、中文红色印章、邮票齿孔、蜡封、贴纸拼贴、旅游纪念品模板、平滑矢量Logo、通用城市图标、完整复制所有建筑、密集刻画、儿童手工感、卡通风格、3D渲染、塑料质感、光滑数字渐变、过度饱和、过多文字、装饰堆积，以及重绘或改变左侧原始照片。

[rj @repsecure]

@ForrestHODL Looks like it’s going well, get her offline!

[rj @repsecure]

@GeorgeRD_Builds @_can1357 @OpenRouter No prob!

[rj @repsecure]

@GeorgeRD_Builds @_can1357 @OpenRouter

[rj @repsecure]

@CorySwan https://t.co/cDBSj765fd

[Scott @scottstts]

I predict that in 5-10 years every household will have a local AI server that serves all the AI workload of the house, digital or robotics. It’ll be as common as a WiFi router or a fridge

it creates a private mesh network to link all the devices in the house and does inference completely locally, with built in data vault resistant to remote data hacking or physical tampering. That way you can have every single piece of information about you and your family stored in there and never leaves it, and AI can use them to provide most accurate and customized services

[diva @divaagurlxw]

For people who keep asking what to build in AI Engineering

> Build your own Reasoner (Chain of Thought implementation)

> Build your own Agent loop (ReAct pattern)

> Build your own Inference Server (in C++/Rust)

> Build your own Transformer from scratch (Attention is all you need)

> Build your own Vector Database (HNSW index)

> Build your own RAG pipeline

> Build your own Flash Attention kernel (CUDA)

> Build your own Quantization library (Int8/FP4 implementation)

> Build your own Mixture of Experts (MoE) routing layer

> Build your own Distributed training loop (FSDP/Tensor Parallelism)

> Build your own KV Cache paging system (like vLLM)

> Build your own Speculative Decoding system

> Build your own State Space Model (Mamba implementation)

> Build your own RLHF pipeline (PPO implementation)

> Build your own Small Language Model (SLM)

> Build your own Matrix Multiplication kernel

> Build your own LoRA (Low-Rank Adaptation) trainer

> Build your own Code interpreter sandbox

> Build your own DPO (Direct Preference Optimization) loss function

> Build your own Graph RAG system

> Build your own Model merger (Model Soups/Spherical Linear Interpolation)

> Build your own Interpretability tool (SAE - Sparse Autoencoders)

> Build your own Synthetic data generator

> Build your own Function Calling router

> Build your own Structured Output parser (Context Free Grammars)

> Build your own Multi-modal projector (CLIP implementation)

> Build your own LLM Eval harness

> Build your own Guardrails system (Input/Output filtering)

> Build your own Prompt caching mechanism

> Build your own Tokenizer (BPE implementation)

> Build your own Autograd engine (like Micrograd)

> Build your own Diffusion model (UNet + Scheduler)

> Build your own Vision Transformer (ViT)

> Build your own Whisper-style ASR model

> Build your own Text-to-Speech pipeline

> Build your own Semantic Router

> Build your own Knowledge Graph builder

> Build your own Data curation pipeline (MinHash/Deduplication)

> Build your own AI Gateway (Load balancing/Failover)

> Build your own Parameter Efficient Fine-Tuning (PEFT) library

> Build your own Text-to-SQL engine

> Build your own Recommendation system (Two-tower architecture)

> Build your own Embedding model

> Build your own Logit Processor

> Build your own Softmax kernel optimization

> Build your own Adversarial attack generator

> Build your own Audio Spectrogram transformer

> Build your own Neural Architecture Search

> Build your own Model Distillation pipeline

> Build your own Feature Store

> Build your own Database driver (for Vectors)

[Monerica @MonericaProject]

Video recorded for settings up GrapheneOS on a Pixel 10, with a Monero wallet, Tor and duress pin.

[News2A @News2ATeam]

We have no affiliation and get paid nothing to post this.

Right now you can purchase a made-in-America firearm with a lifetime warranty that is suppressor-ready and has a multi-decade proven fire control system...

For $269.99

What a country we live in.

[rj @repsecure]

@alexocheema https://t.co/nmvaTZQW9M

[rj @repsecure]

@mcdandle @alexocheema Thanks dude!

[Roy @usr_bin_roygbiv]

If you want to skip to the end of the workflow optimization pipeline right now it's postgres, k8s, sol, omp, cmux-tui via ssh from a macbook, and as much compute and codex subs as you can physically get or go into debt for

[Kartik @1kartikkabadi1]

My workflow now is basically this:
1. AGENTS.md auto loads up these 4 skills:
ponytail
grilling
wayfinder
ask-matt
2. I have the agent grill me completely over close to 100s of questions
3. I have a custom Pi extension called /handoff that when the context window reaches 100k it asks the model to produce a handoff document which then gets carried over to the next session and we auto-continue from there

This might seem like a lot of work, and it is, making tons of decisons. But trust me, this will beat any vibe coder even with Fable. Because human intelligence, or rather judgement and taste, is the best right now

[rj @repsecure]

@ForrestHODL Found it through site on the manual build as well

[rj @repsecure]

@ForrestHODL Where do you order these from exactly?

[rj @repsecure]

@ForrestHODL https://t.co/taZFea6yh3

[Digi @digiii]

https://t.co/gwPEfpKntX

[Lee Roach @leevalueroach]

I didn't buy a house.

I bought a 30 year short position on the US dollar, and they handed me a house as a bonus.

Nobody understands this trade.

A 30 year fixed at sub 4%. No margin call. No mark to market. Free to prepay. Government guaranteed paper behind it.

Pension funds and insurers pay real money for long duration fixed liabilities. Retail got them for free in 2021 and then spent three years crying about their home value on Zillow.

Here's what people miss:

Rates going up makes you RICHER.

A 3% note in a 6% world trades around 70 cents. If you owe $400k, your real obligation is closer to $280k in market terms. That's equity that shows up nowhere on your statement and is completely real.

Denmark lets borrowers buy the loan back at market price. Americans hold the exact same value. They just can't see it.

And the option runs both ways. Rates fall, you refinance. Rates rise, your liability discounts. You are long optionality in every direction and paid nothing for it.

Which is why prepaying is insane.

A dollar of principal earns exactly your mortgage rate. 3%, illiquid, unrecoverable without a HELOC or a sale.

That same dollar in T bills earns more, is liquid tomorrow, and is state tax exempt.

Every dollar of equity in your house is a decision to lend money to yourself below the risk free rate.

The house produces identical shelter at 3% equity or 100% equity. Equity adds nothing to the yield. It's dead capital sitting in drywall.

The price only becomes a real number on the day you sell. Until then it changes nothing about your cash flow. Nobody can margin call you into posting more.

The only thing that forces a sale is losing your income. And that risk gets WORSE when you've buried your reserves in the walls.

Minimum equity plus maximum liquidity isn't the aggressive position. It's the defensive one.

What you actually bought was the conversion of a variable cost into a fixed one.

Rent compounds at CPI plus, forever. Your P&I is a flat nominal line to 2054. That spread is the entire product. The Zestimate is noise.

And the debt dissolves while you sleep.

25% cumulative inflation turns $400k into $320k of real purchasing power. Payment never moves. If wages track inflation even badly, your payment to income ratio decays every year without you lifting a finger.

Nominal fixed debt is the only liability on earth that shrinks on its own.

Stop watching the asset.

Watch the liability.