Python lib generates its code on-the-fly based on usage (❄️ Score: 150+ in 3 days)
Link: https://readhacker.news/s/6ujvq
Comments: https://readhacker.news/c/6ujvq
Link: https://readhacker.news/s/6ujvq
Comments: https://readhacker.news/c/6ujvq
GitHub
GitHub - cofob/autogenlib: Import wisdom, export code.
Import wisdom, export code. Contribute to cofob/autogenlib development by creating an account on GitHub.
Show HN: Semantic Calculator (king-man+woman=?) (Score: 150+ in 18 hours)
Link: https://readhacker.news/s/6uuXx
Comments: https://readhacker.news/c/6uuXx
I've been playing with embeddings and wanted to try out what results the embedding layer will produce based on just word-by-word input and addition / subtraction, beyond what many videos / papers mention (like the obvious king-man+woman=queen). So I built something that doesn't just give the first answer, but ranks the matches based on distance / cosine symmetry. I polished it a bit so that others can try it out, too.
For now, I only have nouns (and some proper nouns) in the dataset, and pick the most common interpretation among the homographs. Also, it's case sensitive.
Link: https://readhacker.news/s/6uuXx
Comments: https://readhacker.news/c/6uuXx
I've been playing with embeddings and wanted to try out what results the embedding layer will produce based on just word-by-word input and addition / subtraction, beyond what many videos / papers mention (like the obvious king-man+woman=queen). So I built something that doesn't just give the first answer, but ranks the matches based on distance / cosine symmetry. I polished it a bit so that others can try it out, too.
For now, I only have nouns (and some proper nouns) in the dataset, and pick the most common interpretation among the homographs. Also, it's case sensitive.
Working on complex systems: What I learned working at Google (❄️ Score: 155+ in 2 days)
Link: https://readhacker.news/s/6uprB
Comments: https://readhacker.news/c/6uprB
Link: https://readhacker.news/s/6uprB
Comments: https://readhacker.news/c/6uprB
www.thecoder.cafe
Working on Complex Systems: What I Learned Working at Google
This is why recognizing whether a system is complicated or complex is so important: it shapes how we should approach problem-solving.
Malicious compliance by booking an available meeting room (🔥 Score: 155+ in 3 hours)
Link: https://readhacker.news/s/6uwWP
Comments: https://readhacker.news/c/6uwWP
Link: https://readhacker.news/s/6uwWP
Comments: https://readhacker.news/c/6uwWP
www.clientserver.dev
Malicious compliance by booking an available meeting room
In 2011, Larry Page became CEO of Google and tried to fix meetings. But his new policies were no match for Google Calendar pedants.
A Tiny Boltzmann Machine (Score: 150+ in 4 hours)
Link: https://readhacker.news/s/6ux37
Comments: https://readhacker.news/c/6ux37
Link: https://readhacker.news/s/6ux37
Comments: https://readhacker.news/c/6ux37
eoinmurray.info
Eoin Murray Notebooks
Work in progress notebooks
Lua for Elixir (❄️ Score: 151+ in 2 days)
Link: https://readhacker.news/s/6upQX
Comments: https://readhacker.news/c/6upQX
Link: https://readhacker.news/s/6upQX
Comments: https://readhacker.news/c/6upQX
Davelucia
Introducing Lua for Elixir
Execute sandboxed Lua code on the BEAM VM using Luerl
Coinbase says hackers bribed staff to steal customer data, demanding $20M ransom (🔥 Score: 156+ in 3 hours)
Link: https://readhacker.news/s/6uxsm
Comments: https://readhacker.news/c/6uxsm
Link: https://readhacker.news/s/6uxsm
Comments: https://readhacker.news/c/6uxsm
CNBC
Coinbase says hackers bribed staff to steal customer data and are demanding $20 million ransom
The incident may cost Coinbase up to $400 million to fix, the company estimated.
I Don't Like NumPy (🔥 Score: 153+ in 3 hours)
Link: https://readhacker.news/s/6uxuz
Comments: https://readhacker.news/c/6uxuz
Link: https://readhacker.news/s/6uxuz
Comments: https://readhacker.news/c/6uxuz
DYNOMIGHT
I don’t like NumPy
it’s too hard
Baby Is Healed with First Personalized Gene-Editing Treatment (🔥 Score: 157+ in 2 hours)
Link: https://readhacker.news/s/6uxS6
Comments: https://readhacker.news/c/6uxS6
Link: https://readhacker.news/s/6uxS6
Comments: https://readhacker.news/c/6uxS6
NY Times
Baby Is Healed With World’s First Personalized Gene-Editing Treatment
The technique used on a 9½-month-old boy with a rare condition has the potential to help people with thousands of other uncommon genetic diseases.
California sent residents' personal health data to LinkedIn (Score: 150+ in 6 hours)
Link: https://readhacker.news/s/6ux8q
Comments: https://readhacker.news/c/6ux8q
Link: https://readhacker.news/s/6ux8q
Comments: https://readhacker.news/c/6ux8q
The Markup
How California sent residents’ personal health data to LinkedIn
The state’s health insurance exchange transmitted pregnancy and domestic abuse data during a marketing campaign. It is reviewing its website practices.
Show HN: Lumier – Run macOS VMs in a Docker (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6uu3A
Comments: https://readhacker.news/c/6uu3A
Hey HN, we're excited to share Lumier (https://github.com/trycua/cua/tree/main/libs/lumier), an open-source tool for running macOS and Linux virtual machines in Docker containers on Apple Silicon Macs.
When building virtualized environments for AI agents, we needed a reproducible way to package and distribute macOS VMs. Inspired by projects like dockur/windows (https://github.com/dockur/windows) that pioneered running Windows in Docker, we wanted to create something similar but optimized for Apple Silicon. The existing solutions either didn't support M-series chips or relied on KVM/Intel emulation, which was slow and cumbersome. We realized we could leverage Apple's Virtualization Framework to create a much better experience.
Lumier takes a different approach: it uses Docker as a delivery mechanism (not for isolation) and connects to a lightweight virtualization service (lume) running on your Mac. This creates true hardware-accelerated VMs using Apple's native virtualization capabilities.
With Lumier, you can:
- Launch a ready-to-use macOS VM in minutes with zero manual setup
- Access your VM through any web browser via VNC
- Share files between your host and VM effortlessly
- Use persistent storage or ephemeral mode for quick tests
- Automate VM startup with custom scripts
All of this works natively on Apple Silicon (M1/M2/M3/M4) - no emulation required.
To get started:
1. Install Docker for Apple Silicon: https://desktop.docker.com/mac/main/arm64/Docker.dmg
2. Install lume background service with our one-liner:
3. Start a VM (ephemeral mode):
4. Open http://localhost:8006/vnc.html in your browser. The container will generate a unique password for each VM instance - you'll see it in the container logs.
For persistent storage (so your changes survive container restarts):
mkdir -p storage
docker run -it --rm \
--name lumier-vm \
-p 8006:8006 \
-v $(pwd)/storage:/storage \
-e VM_NAME=lumier-vm \
-e HOST_STORAGE_PATH=$(pwd)/storage \
trycua/lumier:latest
Want to share files with your VM? Just add another volume:
mkdir -p shared
docker run ... -v $(pwd)/shared:/shared -e HOST_SHARED_PATH=$(pwd)/shared ...
You can even automate VM startup by placing an on-logon.sh script in shared/lifecycle/.
We're seeing people use Lumier for:
- Development and testing environments that need macOS
- CI/CD pipelines for Apple platform apps
- Disposable macOS instances for security research
- Automated UI testing across macOS versions
- Running AI agents in isolated environments
Lumier is 100% open-source under the MIT license. We're actively developing it as part of our work on C/ua (https://github.com/trycua/cua), and we'd love your feedback, bug reports, or feature ideas.
We'll be here to answer any technical questions and look forward to your comments!
Link: https://readhacker.news/s/6uu3A
Comments: https://readhacker.news/c/6uu3A
Hey HN, we're excited to share Lumier (https://github.com/trycua/cua/tree/main/libs/lumier), an open-source tool for running macOS and Linux virtual machines in Docker containers on Apple Silicon Macs.
When building virtualized environments for AI agents, we needed a reproducible way to package and distribute macOS VMs. Inspired by projects like dockur/windows (https://github.com/dockur/windows) that pioneered running Windows in Docker, we wanted to create something similar but optimized for Apple Silicon. The existing solutions either didn't support M-series chips or relied on KVM/Intel emulation, which was slow and cumbersome. We realized we could leverage Apple's Virtualization Framework to create a much better experience.
Lumier takes a different approach: it uses Docker as a delivery mechanism (not for isolation) and connects to a lightweight virtualization service (lume) running on your Mac. This creates true hardware-accelerated VMs using Apple's native virtualization capabilities.
With Lumier, you can:
- Launch a ready-to-use macOS VM in minutes with zero manual setup
- Access your VM through any web browser via VNC
- Share files between your host and VM effortlessly
- Use persistent storage or ephemeral mode for quick tests
- Automate VM startup with custom scripts
All of this works natively on Apple Silicon (M1/M2/M3/M4) - no emulation required.
To get started:
1. Install Docker for Apple Silicon: https://desktop.docker.com/mac/main/arm64/Docker.dmg
2. Install lume background service with our one-liner:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)"
3. Start a VM (ephemeral mode):
docker run -it --rm \
--name lumier-vm \
-p 8006:8006 \
-e VM_NAME=lumier-vm \
-e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \
-e CPU_CORES=4 \
-e RAM_SIZE=8192 \
trycua/lumier:latest
4. Open http://localhost:8006/vnc.html in your browser. The container will generate a unique password for each VM instance - you'll see it in the container logs.
For persistent storage (so your changes survive container restarts):
mkdir -p storage
docker run -it --rm \
--name lumier-vm \
-p 8006:8006 \
-v $(pwd)/storage:/storage \
-e VM_NAME=lumier-vm \
-e HOST_STORAGE_PATH=$(pwd)/storage \
trycua/lumier:latest
Want to share files with your VM? Just add another volume:
mkdir -p shared
docker run ... -v $(pwd)/shared:/shared -e HOST_SHARED_PATH=$(pwd)/shared ...
You can even automate VM startup by placing an on-logon.sh script in shared/lifecycle/.
We're seeing people use Lumier for:
- Development and testing environments that need macOS
- CI/CD pipelines for Apple platform apps
- Disposable macOS instances for security research
- Automated UI testing across macOS versions
- Running AI agents in isolated environments
Lumier is 100% open-source under the MIT license. We're actively developing it as part of our work on C/ua (https://github.com/trycua/cua), and we'd love your feedback, bug reports, or feature ideas.
We'll be here to answer any technical questions and look forward to your comments!
GitHub
cua/libs/lumier at main · trycua/cua
c/ua is the Docker Container for Computer-Use AI Agents. - trycua/cua
The unreasonable effectiveness of an LLM agent loop with tool use (🔥 Score: 157+ in 3 hours)
Link: https://readhacker.news/s/6uy92
Comments: https://readhacker.news/c/6uy92
Link: https://readhacker.news/s/6uy92
Comments: https://readhacker.news/c/6uy92
Harvard Law paid $27 for a copy of Magna Carta. It's an original (Score: 152+ in 5 hours)
Link: https://readhacker.news/s/6uxVy
Comments: https://readhacker.news/c/6uxVy
Link: https://readhacker.news/s/6uxVy
Comments: https://readhacker.news/c/6uxVy
NY Times
Harvard Paid $27 for a Copy of Magna Carta. Surprise! It’s an Original.
Two British academics discovered that a “copy” of the medieval text, held in Harvard Law School’s library for 80 years, is one of seven originals dating from 1300.
Show HN: Min.js style compression of tech docs for LLM context (Score: 150+ in 11 hours)
Link: https://readhacker.news/s/6ux2M
Comments: https://readhacker.news/c/6ux2M
Link: https://readhacker.news/s/6ux2M
Comments: https://readhacker.news/c/6ux2M
GitHub
GitHub - marv1nnnnn/llm-min.txt: Min.js Style Compression of Tech Docs for LLM Context
Min.js Style Compression of Tech Docs for LLM Context - marv1nnnnn/llm-min.txt
A leap year check in three instructions (🔥 Score: 150+ in 3 hours)
Link: https://readhacker.news/s/6uyxN
Comments: https://readhacker.news/c/6uyxN
Link: https://readhacker.news/s/6uyxN
Comments: https://readhacker.news/c/6uyxN
hueffner.de
A leap year check in three instructions
How to test for leap years (until year 102499) in the proleptic Gregorian calendar with just three 32-bit instructions, with detailed explanation of the bit-level tricks.
NASA keeps ancient Voyager 1 spacecraft alive with Hail Mary thruster fix (🔥 Score: 155+ in 3 hours)
Link: https://readhacker.news/s/6uyQN
Comments: https://readhacker.news/c/6uyQN
Link: https://readhacker.news/s/6uyQN
Comments: https://readhacker.news/c/6uyQN
The Register
NASA keeps ancient Voyager 1 spacecraft alive with Hail Mary thruster fix
: Failure could've triggered a small explosion
Ollama's new engine for multimodal models (Score: 150+ in 5 hours)
Link: https://readhacker.news/s/6uyXH
Comments: https://readhacker.news/c/6uyXH
Link: https://readhacker.news/s/6uyXH
Comments: https://readhacker.news/c/6uyXH
Ollama
Ollama's new engine for multimodal models· Ollama Blog
Ollama now supports new multimodal models with its new engine.
BuyMeACoffee silently dropped support for many countries, and nobody cares (🔥 Score: 150+ in 1 hour)
Link: https://readhacker.news/s/6uzmX
Comments: https://readhacker.news/c/6uzmX
Link: https://readhacker.news/s/6uzmX
Comments: https://readhacker.news/c/6uzmX
zverok.space
BuyMeACoffee silently dropped support for many countries, and nobody cares
Silent changes in payment methods on big creator funding platforms raise some unpleasant questions.
Initialization in C++ is bonkers (2017) (Score: 150+ in 12 hours)
Link: https://readhacker.news/s/6uyte
Comments: https://readhacker.news/c/6uyte
Link: https://readhacker.news/s/6uyte
Comments: https://readhacker.news/c/6uyte
Teal – A statically-typed dialect of Lua (Score: 150+ in 11 hours)
Link: https://readhacker.news/s/6uyRR
Comments: https://readhacker.news/c/6uyRR
Link: https://readhacker.news/s/6uyRR
Comments: https://readhacker.news/c/6uyRR