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cliffly

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How I built my own secure version of Clawdbot

medium.com
7 points·by cliffly·5 months ago·3 comments

Drax: Speech Recognition with Discrete Flow Matching

huggingface.co
45 points·by cliffly·8 months ago·0 comments

Diff Risk Score: AI-driven risk-aware software development

engineering.fb.com
1 points·by cliffly·11 months ago·0 comments

Improving Video Quality Control at Netflix with Pixel Error Detection

netflixtechblog.com
2 points·by cliffly·11 months ago·0 comments

Understanding and Improving SwiftUI Performance

medium.com
1 points·by cliffly·last year·0 comments

2025 State of AI Code Quality

qodo.ai
45 points·by cliffly·last year·51 comments

GitHub engineers tackle platform problems

github.blog
1 points·by cliffly·last year·0 comments

AI coding tools are like that helpful but untrustworthy friend, devs say

theregister.com
8 points·by cliffly·last year·6 comments

Load Testing with Impulse at Airbnb

medium.com
1 points·by cliffly·last year·0 comments

KumoRFM: A Foundation Model for In-Context Learning on Relational Data

kumo.ai
110 points·by cliffly·last year·19 comments

Fighting Unwanted Notifications with Machine Learning in Chrome

blog.chromium.org
1 points·by cliffly·last year·0 comments

Boy Accidentally Orders 70k Lollipops on Amazon. Panic Ensues.

nytimes.com
33 points·by cliffly·last year·65 comments

Trump Executive Order Restricts 'Gain of Function' Research on Pathogens

nytimes.com
7 points·by cliffly·last year·1 comments

Building the Codemod Platform at Lyft

eng.lyft.com
1 points·by cliffly·last year·0 comments

comments

cliffly
·last year·discuss
We all interact with structured data models constantly, like literally thousands of times each day, just indirectly.

Every single credit card purchase gets classified by a model as fraud or ok. When you go to Netflix and see recommended movies, it's all predictions on structured data. Every single post in every social media feed is there because a model predicted you'd like it.

Realistically, it might be more like 10s of thousands or even hundreds of thousands of predictions that we engage with in a day.

If reality matches the benchmarks for this model, it can kick off a whole new category of models that can potentially be bigger than LLMs
cliffly
·last year·discuss
> He told his mother he wanted to organize a carnival for his friends, and mistakenly, he said, he placed an order for almost 70,000 pieces of the candy instead of reserving it.

That's his version and he's sticking with it
cliffly
·last year·discuss
https://archive.md/ZmoKJ
cliffly
·last year·discuss
https://archive.md/yxVPb