3901
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,334 posts.
3902
Should we use AI and LLMs for Christian apologetics? (2024)
The reasons why I don’t give permission for material I’ve written to be used as training data for an LLM chatbot designed to do Christian apologetics
3903
What ChatGPT can't do
Mimicry but not thought, sophistry but not understanding
3904
3905
Georgia Tech, Meta create open dataset to advance solutions for carbon capture
To avoid catastrophic climate impacts, excessive carbon emissions must be addressed. At this point, cutting emissions isn’t enough. Direct air capture, a technology that pulls carbon dioxide out of ambient air, has great potential to help solve the problem.
3906
Answering Legal Questions with LLMs
Blog post: Answering Legal Questions with LLMs
3907
OpenAI probably can't make ends meet. That's where you come in
If you thought the 2008 bank bailout was bad, wait til you see the 2026 AI bailout
3908
LLMs understand nullability
The last five years have shown us that large language models, like ChatGPT, Claude, and DeepSeek, can write code in many domains, to huge excitement: many claim to be using these models to write entire web servers and apps from scratch. These tools have opened up programming to a whole new class of people who consider…
3909
AI-designed camera only records objects of interest while being blind to others
FEATURED NEWS California NanoSystems Institute > Featured News > August 15, 2022 | AI-designed camera only records objects of interest while being blind to others AI-designed camera only records objects of interest while being blind to others To image, or not to image: Class-specific diffractive cameras with…
3910
3911
The quality of AI-assisted software depends on unit of work management
The craft of AI-assisted software creation is substantially about correctly managing units of work.
3912
Translating Latin demonology manuals with GPT-4 and Claude
At long last, a real-world use case for AI!
3913
3914
It wasn't AI that flipped Proton's charge
Proton's CEO called a request for security testing "loser thinking". Using AI to write code is fine, but for a privacy company, the guardrails around that code are the product.
3915
MCP: An (Accidentally) Universal Plugin System
Or: The Day My Toaster Started Taking Phone Calls
3916
RTK reports token savings, but our cost benchmarks disagree
We tested RTK (Rust Token Killer) with Claude Code on Fable 5.0, and OpenCode with DeepSeek V4 Pro 0813 on Terminal-Bench 2.1.
3917
Cloud TPU v5p and AI Hypercomputer
The new TPU v5p is a core element of AI Hypercomputer, which is tuned, managed, and orchestrated specifically for gen AI training and serving.
3918
3919
Brain vs. Deep Learning (2015)
This blog post compares deep learning to the brain and derives an estimate of computational power for the brain which is used to predict the singularity.
3920
3921
Using logistic regression to predict parking difficulty
Posted by James Cook, Yechen Li, Software Engineers and Ravi Kumar, Research Scientist"When Solomon said there was a time and a place for everythin...
3922
Understanding Llama 2 and the New Code Llama LLMs
In this edition of the newsletter, we direct our attention to one of the most prominent highlights of the summer: the release of the Llama 2 base and chat models, as well as CodeLlama, the latest highlights in the open-source AI large language model (LLM) landscape.
3923
Calculus on Computational Graphs: Backpropagation (2015)
Backpropagation is the key algorithm that makes training deep models computationally tractable. For modern neural networks, it can make training with gradient descent as much as ten million times faster, relative to a naive implementation. That’s the difference between a model taking a week to train and taking 200,000…
3924
3925
Running your models in production with TensorFlow Serving
Posted by Noah Fiedel, Software EngineerMachine learning powers many Google product features, from speech recognition in the Google app to Smart Re...
3926
3927
Neural ODE's: Understanding how they model data
In this blogpost I explore how ODE’s can be used to solve data modelling problems. I take a deep dive into the data modelling problem at hand and present ODE...
3928
A friendly Introduction to Backpropagation in Python
My aim here is to test my understanding of Karpathy’s great blog post “Hacker’s guide to Neural Networks” as well as of Python, to get a hang of which I rece...
3929
ML from Scratch, Part 2: Logistic Regression (2018)
In this second installment of the machine learning from scratch we switch the point of view from regression to classification: instead of estimating a number, we will be trying to guess which of 2 possible classes a given input belongs to. A modern example is looking at a photo and deciding if its a cat or a dog.
3930
Policy on the AI Exponential
In one of the side plots to The Lord of the Rings , two of the Hobbits attempt to rouse Treebeard—a wise but ponderous sentient tree—to defend his forest from an army that is cutting it down. The problem is that Treebeard operates at a very different speed than the Hobbits. It takes him a full day simply to say hello…