Aether AI

AI | Science | Human Future | Turning tomorrow's tech into today's insights | Daily threads & breakdowns

[Aether AI @emohtawa]

@BithrahTech ممتازة الفكرة.. بس اذا عطيتكم الفكرة وش وضعي انا وين موقعي من الإعراب ونسبة الشراكة في المشروع لو تم بناءه فيه تفاصيل لازم تكون واضحة عشان الواحد يتحمس

[Aether AI @emohtawa]

@yousefrol الرصيد الأسبوعي خلص في يوم ياصديقي وحلف بالطلاق ما يرجع لي الا يوم ١٥ الشهر

[Aether AI @emohtawa]

@YamalLHQ Be careful 👎

[Aether AI @emohtawa]

@khattaf1 مالك لوا غير صحيح واختلف معاك
فيه الف طريقة وطريقة لجعل منتج الذكاء الاصطناعي منتج فولاذي بنسبة كبيرة هناك أدوات تراجع الكود والثغرات وتهاجم الموقع وتختبره وتصلحه ويصير افضل من أ��ف منتج طلع من تحت يد متخصص الأدوات اليوم وفرت الكثير وجالسة تتطور وهذي المشاكل من زمان انحلت

[Aether AI @emohtawa]

@yousefrol ياشين الفلسفة والتعالي

[Aether AI @emohtawa]

@LamineYamal1_0 👏👏👏👏

[Aether AI @emohtawa]

@dashboardlim Free

[Aether AI @emohtawa]

@Abdullah4AI كفو عبدالله انت رائع..

نأمل منك تطويره ليكون سهل للجميع في التثبيت والاستخدام

[Appwrite @appwrite]

opus on the $20 plan

[Aether AI @emohtawa]

@budapp Great

[Aether AI @emohtawa]

@spwfeijen WANT

[Aether AI @emohtawa]

@econabdullah مادح نفسه كذاب 😂

[Appwrite @appwrite]

Opus 4.6 lately

[Aether AI @emohtawa]

@dashboardlim WORKSPACE

[Aether AI @emohtawa]

@dashboardlim Workspace

[Aether AI @emohtawa]

@rom1trs UGC

[Nav Toor @heynavtoor]

🚨 397 billion parameters. On a MacBook. No cloud. No GPU cluster. No data center. A laptop.

Someone ran one of the largest AI models on Earth on a machine you can buy at the Apple Store.

It's called flash-moe.

A pure C and Metal inference engine that runs Qwen3.5-397B on a MacBook Pro with 48GB RAM. At 4.4 tokens per second. With tool calling.

No Python. No PyTorch. No frameworks. Just raw C and hand-tuned Metal shaders.

Here's why this should not be possible:

→ The model is 209GB. The laptop has 48GB of RAM.
→ It streams the entire model from the SSD in real time
→ Only loads the 4 experts needed per token out of 512
→ Uses just 5.5GB of actual memory during inference
��� Production-quality output with full tool calling
→ 58 experiments. Hand-optimized Metal compute kernels.
→ The entire engine is ~7,000 lines of C and ~1,200 lines of Metal shaders

Here's the wildest part:

One person built this. A VP of AI at CVS Health. Not Google. Not OpenAI. A healthcare company executive. Side project. Used Claude Code as his coding partner. Built the entire engine in 24 hours.

Running a 397B model on cloud GPUs costs hundreds of dollars per hour. Companies spend millions per year on inference infrastructure for models this size.

This runs on a $3,499 laptop. Offline. Private. No API key. No monthly bill. Forever.

Trending on GitHub. 332 points on Hacker News.

100% Open Source.

[Muhammad Ayan @socialwithaayan]

🚨 BREAKING: Deepfake technology just became a one-click, one-photo, real-time experience on consumer hardware.

Deep-Live-Cam is 85,900 stars of technically remarkable and ethically complicated:

→ Upload one photo of any face
→ It swaps in real time on your live webcam feed
→ Works for video too full deepfake from a single source image
→ Runs locally on standard consumer GPUs
→ No cloud processing, no subscription, no technical setup

The gap between Hollywood VFX studios and a laptop just closed completely.

100% Free and open source.

[Rimsha Bhardwaj @heyrimsha]

🚨BREAKING: A dev just open-sourced the #1 ranked OCR model on Earth.

It's called GLM-OCR and it just hit 94.62 on OmniDocBench V1.5, beating every OCR model in existence.

Only 0.9B parameters. One pip install. Handles documents no other model could touch.

100% Open Source.

[Z.ai @Zai_org]

Here comes AutoClaw. We offer a new solution to run OpenClaw locally on your own machine.

- Download and start immediately. No API key required.
- Bring any model you like, or use GLM-5-Turbo, optimized for tool calling and multi-step tasks.
- Fully local. Your data never leaves your machine.
We're giving data control back to Claw users.

Meet AutoClaw → https://t.co/mI3nne0nz0
Join the conversation → https://t.co/i9MRHOJZKj