Mercury, the first commercial-scale diffusion language model
inceptionlabs.ai
Linux Kernel Exploitation: CVE-2025-21756
hoefler.dev
Reversible computing with mechanical links and pivots
tennysontbardwell.com
NotebookLM Audio Overviews are now available in over 50 languages
blog.google
Xiaomi MiMo Reasoning Model
github.com
Google Play sees 47% decline in apps since start of last year
techcrunch.com
Future of OSU Open Source Lab in Jeopardy
osuosl.org
Someone at YouTube needs glasses
jayd.ml
I created Perfect Wiki and reached $250k in annual revenue without investors
habr.com
Show HN: Create your own finetuned AI model using Google Sheets
promptrepo.com
Show HN: ART – a new open-source RL framework for training agents
github.com
The best – but not good – way to limit string length
adam-p.ca
Archil (YC F24) Is Hiring a Distributed Systems Engineer (In-Person, SF)
NYC home prices rise 10% in early 2025
qns.com
Home washing machines fail to remove important pathogens from textiles
medicalxpress.com
You Wouldn't Download a Hacker News
jasonthorsness.com
Jepsen: Amazon RDS for PostgreSQL 17.4
jepsen.io
Joining Sun Microsystems – 40 years ago (2022)
akapugs.blog
OCaml's Wings for Machine Learning
github.com
Retailers will soon have only about 7 weeks of full inventories left
fortune.com
I’m Hunter, the founder of Archil (recently rebranded from Regatta Storage). We’re building the new, active data layer for the cloud, and we’re starting by transforming S3 (or compatible!) buckets into infinite, high-speed, local[1] file systems. Our early customers are using Archil’s performance to power CI/CD pipelines, build stateless Jupyter notebooks for AI researchers, run training jobs, and build out storage defaults for the new set of AI clouds. You may know us from our Hacker News launch last Fall (https://news.ycombinator.com/item?id=42174204), and you can see a demo of our product here (https://archil.com/).
Now, we’re looking to grow the team to keep up with customer demand! We’re looking for a Distributed Systems Engineer, who will be focused on helping us build scalable, distributed systems in the cloud. Notably, you don’t need prior experience in the storage space, just experience (~2-5 years) building, scaling, and operating backend software. Ideally, you’ve worked at a high-growth startup in the past. Most importantly, you’re someone who understands how computers work from the ground up (from CPUs, to the Linux kernel, to the TCP stack, to distributed consensus). Our stack is primarily written in Rust (for the stuff that’s important), Go (for the stuff that needs to be written fast), and React/Next.js (for the small number of things that people look at).
We raised a successful round after YC, we’re here to stay, and we think that there’s immense opportunity in this space (that’s only growing with large AI models, data sets, and agents taking over). We’re a team of 4 today, with backgrounds in storage infra (at AWS) and AI. If you’re a builder who’s looking to build the next foundation of cloud computing, we’d love to have you join us. Send us a note if you’re interested here: https://www.ycombinator.com/companies/archil/jobs/svfkDVv-fo...
[1] Local to your cloud instances, that is, not your laptop.