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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 bulan yang lalu·3 comments

Drax: Speech Recognition with Discrete Flow Matching

huggingface.co
45 points·by cliffly·8 bulan yang lalu·0 comments

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

engineering.fb.com
1 points·by cliffly·11 bulan yang lalu·0 comments

Improving Video Quality Control at Netflix with Pixel Error Detection

netflixtechblog.com
2 points·by cliffly·11 bulan yang lalu·0 comments

Understanding and Improving SwiftUI Performance

medium.com
1 points·by cliffly·tahun lalu·0 comments

2025 State of AI Code Quality

qodo.ai
45 points·by cliffly·tahun lalu·51 comments

GitHub engineers tackle platform problems

github.blog
1 points·by cliffly·tahun lalu·0 comments

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

theregister.com
8 points·by cliffly·tahun lalu·6 comments

Load Testing with Impulse at Airbnb

medium.com
1 points·by cliffly·tahun lalu·0 comments

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

kumo.ai
110 points·by cliffly·tahun lalu·19 comments

Fighting Unwanted Notifications with Machine Learning in Chrome

blog.chromium.org
1 points·by cliffly·tahun lalu·0 comments

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

nytimes.com
33 points·by cliffly·tahun lalu·65 comments

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

nytimes.com
7 points·by cliffly·tahun lalu·1 comments

Building the Codemod Platform at Lyft

eng.lyft.com
1 points·by cliffly·tahun lalu·0 comments

comments

cliffly
·tahun lalu·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
·tahun lalu·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
·tahun lalu·discuss
https://archive.md/ZmoKJ
cliffly
·tahun lalu·discuss
https://archive.md/yxVPb