julsimon
Exploring Apple's On-Device Model: Twenty Billion Parameters in Flash
Show HN: Canopy – parallel, sandboxed Claude Code sessions on macOS
Show HN: Ccmd – TUI to audit and clean developer caches
https://github.com/juliensimon/cache-commander
A terminal UI (TUI) for exploring, auditing, and cleaning developer cache directories on macOS and Linux. Scan cached packages for known CVEs, find outdated dependencies, and reclaim disk space — all from one tool.Developer machines accumulate tens of gigabytes of invisible cache data — ML models, package archives, build artifacts, downloaded bottles. ccmd makes it all visible, scannable for...
Reverse-Engineering the Apollo 11 Code with AI
Re:Arcee AI AnyMCP
on Thursday May 08, 2025 @12:50PM (#43928127)
Manage your Model Context Protocol (MCP) endpoints and configurations with ease in one central platform
Arcee AI AnyMCP
Intelligent Model Routing with Arcee Conductor
Large Language Models: A New Moore's Law?
Running Folding@home on Amazon EC2 instances
Re:Capital One Announces Data Security Incident
on Tuesday July 30, 2019 @11:57AM (#20566121)
S3 is not a database, but that's not the point. As explained by Capital One, the attacker gained access through a misconfigured web app. This could have happened on any platform (on-premise or cloud), and the underlying AWS services weren't compromised in any way.
Re:Capital One Announces Data Security Incident
on Tuesday July 30, 2019 @11:48AM (#20566018)
An ex-AWS employee, who left 3 years before the facts took place.
Amazon Personalize
Re:Show HN: I replaced Google Analytics with simple log-based analytics
on Saturday May 11, 2019 @01:25AM (#19884707)
https://aws.amazon.com/compliance/data-privacy-faq/
"We do not access or use your content for any purpose without your consent. We never use your content or derive information from it for marketing or advertising"
Re:Julian Assange arrested in London
on Thursday April 11, 2019 @06:14AM (#19632696)
Absolutely. So much for "heinous crimes", hey?
Re:Yellow vests knock out 60% of all speed cameras in France
on Friday January 11, 2019 @05:03AM (#18882256)
People hate them because it's yet another tax. 1 billion+ euros in 2018: https://www.lerevenu.com/breves/les-radars-automatiques-devr...
If you drive around in France, you quickly realise most of them are installed in profitable areas, not in dangerous areas.
Looking forward to 100% of them being destroyed.
Record API calls in the AWS Console
Re:How FPGAs work, and why people will buy them (2013)
on Monday September 24, 2018 @11:41AM (#18058616)
Nice article, but it's from 2013.
Re:Yes, Amazon Is Tracking People
on Saturday July 07, 2018 @03:18PM (#17480029)
Amazon Rekognition helps Marinus Analytics fight human trafficking http://www.marinusanalytics.com/articles/2017/10/17/amazon-r...
Re:MNIST Handwritten digits classification using Keras, part 1
on Wednesday February 28, 2018 @04:21PM (#16487080)
Or Fashion-MNIST https://github.com/zalandoresearch/fashion-mnist :)
Inside Amazon's Artificial Intelligence Flywheel
Re:Firefox is on a slippery slope
on Saturday December 16, 2017 @12:31PM (#15940510)
Yeah, same here. Awful performance and stability on MacOS. Going to back to Chrome <sigh>
Re:Getting started with Spark on AWS
on Sunday October 01, 2017 @03:46AM (#15376840)
Why not use Amazon EMR directly instead of installing Spark on EC2 instances? https://aws.amazon.com/emr/
Re:Running TensorFlow with GPU Support on AWS
on Monday June 26, 2017 @08:52AM (#14636340)
You could use the Deep Learning AMI and save lots of work :) https://aws.amazon.com/fr/blogs/ai/the-aws-deep-learning-ami...
Re:Teaching Alexa to ID Passing Airplanes with RTL-SDR
on Thursday June 22, 2017 @08:26AM (#14611714)
Re:Teaching Alexa to ID Passing Airplanes with RTL-SDR
on Thursday June 22, 2017 @08:23AM (#14611698)
Awesome, man. Well done! If you want to speed up your Lambdas, all you have to do is allocate more memory, re: https://docs.aws.amazon.com/lambda/latest/dg/lambda-introduc.... It won't help MongoDB run faster, though.
Re:Ask HN: Why TensorFlow instead of Theano for deep learning?
on Saturday June 17, 2017 @12:02PM (#14576412)
When it comes to scalability, Apache MXNet (http://mxnet.io/) is actually the best choice. Multi-GPU support and distributed training on multiple hosts are extremely easy to set up. It's also supported by Keras (still in beta, though).
A Hands-On Look at the Amazon Rekognition API
Re:MXNet – Deep Learning Framework of Choice at AWS
on Wednesday November 23, 2016 @03:43AM (#13021135)
Here is a very nice blog article explaining how Amazon is generating recommendations at scale with Apache Spark and Amazon DSSTNE :) https://aws.amazon.com/blogs/big-data/generating-recommendat...
Re:Ask HN: Who is using Docker/rkt containers in production?
on Monday November 21, 2016 @04:18AM (#13004132)
Cloudera explained at re:Invent 2015 how they use Docker and ECS: https://www.youtube.com/watch?v=a45J6xAGUvA