gigalord

4 ms·

1.
Medicare Bleeds Billions on Pricey Bandages, and Doctors Get a Cut(nytimes.com)
8 points by gigalord 2y ago|0 comments
2.
Infrastructure as Markdown?(danshiebler.com)
2 points by gigalord 2y ago|1 comments
3.
The Detection Mindset(danshiebler.com)
2 points by gigalord 2y ago|0 comments
4.
Compensation Data for Every NYC Police Officer(data.cityofnewyork.us)
5 points by gigalord 2y ago|1 comments
5.
Stopping SMS Scams with TextGuard(text-guard.com)
3 points by gigalord 2y ago|2 comments
6.
by gigalord 2y ago
SMS scams are out of control — here’s a dead-simple way to spot them. Most of us get at least one sketchy text per week—many designed to look exactly like messages from banks, delivery services, or the government. AI-powered scams are getti
7.
Getting Value from AI Developer Tools(danshiebler.com)
1 points by gigalord 2y ago|0 comments
8.
A simple tool to check IP reputation(ipscore.info)
2 points by gigalord 2y ago|2 comments
9.
by gigalord 2y ago
Checking whether or not a particular IP is on any open source blacklists is pretty annoying. Most IP scoring services place paywalls in the way. So I built a simple tool to make this easier - no paywalls, just put in an IP and see the score
10.
Better Asynchronous Written Communication(danshiebler.com)
1 points by gigalord 2y ago|1 comments
11.
Show HN: Browser-based XSS scanner(github.com)
57 points by gigalord 2y ago|2 comments
12.
Technical Inspection(danshiebler.com)
1 points by gigalord 2y ago|1 comments
13.
by gigalord 2y ago
The difference between a seemingly well-scoped project landing on time or an order of magnitude over budget can depend on whether engineering leaders with the right business and technical context have taken the time to deeply inspect critic
14.
Taming the Wild Genius of Large Language Models(danshiebler.com)
2 points by gigalord 3y ago|1 comments
15.
by gigalord 3y ago
> Unleashing the untamed brilliance of generative large language models (LLMs) like ChatGPT can be both exhilarating and challenging. These wild geniuses demonstrate exceptional problem-solving abilities, but their genius comes at a pric
16.
Using Large Language Models to Solve Your Problems(danshiebler.com)
3 points by gigalord 3y ago|0 comments
17.
How to Execute(danshiebler.com)
3 points by gigalord 4y ago|0 comments
18.
Abnormal Security raises $200M to thwart phishing emails(venturebeat.com)
3 points by gigalord 5y ago|0 comments
19.
Model Understanding with Feature Importance(abnormalsecurity.com)
1 points by gigalord 5y ago|0 comments
20.
Predicting a Quantity with Categorical Features(danshiebler.com)
1 points by gigalord 5y ago|0 comments
21.
by gigalord 5y ago
Whenever I see buzz around “ML for Computer Systems” my first question is always “how debuggable is this?” A major benefit of the sophisticated heuristics and algorithms that power modern systems is the legion of experts who deeply understa
22.
by gigalord 5y ago
I learned to code on the side from Project Euler 9 years ago. It changed my life.
23.
A/B Testing a Machine Learning System(danshiebler.com)
3 points by gigalord 5y ago|0 comments
24.
by gigalord 5y ago
This resonates with me. I think that a product ML team can only be successful in the long run if its members can pivot between modeling work and engineering work as the business needs change. There is an entire class of communication and pr
25.
Improving a Machine Learning System – Broken Abstractions(danshiebler.com)
36 points by gigalord 5y ago|3 comments