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cliffly

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How I built my own secure version of Clawdbot

medium.com
7 points·by cliffly·il y a 5 mois·3 comments

Drax: Speech Recognition with Discrete Flow Matching

huggingface.co
45 points·by cliffly·il y a 8 mois·0 comments

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

engineering.fb.com
1 points·by cliffly·il y a 11 mois·0 comments

Improving Video Quality Control at Netflix with Pixel Error Detection

netflixtechblog.com
2 points·by cliffly·il y a 11 mois·0 comments

Understanding and Improving SwiftUI Performance

medium.com
1 points·by cliffly·l’année dernière·0 comments

2025 State of AI Code Quality

qodo.ai
45 points·by cliffly·l’année dernière·51 comments

GitHub engineers tackle platform problems

github.blog
1 points·by cliffly·l’année dernière·0 comments

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

theregister.com
8 points·by cliffly·l’année dernière·6 comments

Load Testing with Impulse at Airbnb

medium.com
1 points·by cliffly·l’année dernière·0 comments

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

kumo.ai
110 points·by cliffly·l’année dernière·19 comments

Fighting Unwanted Notifications with Machine Learning in Chrome

blog.chromium.org
1 points·by cliffly·l’année dernière·0 comments

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

nytimes.com
33 points·by cliffly·l’année dernière·65 comments

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

nytimes.com
7 points·by cliffly·l’année dernière·1 comments

Building the Codemod Platform at Lyft

eng.lyft.com
1 points·by cliffly·l’année dernière·0 comments

comments

cliffly
·l’année dernière·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
·l’année dernière·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
·l’année dernière·discuss
https://archive.md/ZmoKJ
cliffly
·l’année dernière·discuss
https://archive.md/yxVPb