1891
Slop is not necessarily the future
Everyone's worried about slop, but good code will prevail, not only because we want it to, but because economic forces demand it.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,323 posts.
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1893
Autonomous Weapons: An Open Letter from AI and Robotics Researchers
2016 (>30k signatures) open letter for AI and Robotics researchers calling for ban on offensive autonomous weapons beyond meaningful human control.
1894
How I changed teaching after AI managed to do all my homework assignments
AI forced me to abandon evidence-based best pedagogy practices, focus on oral and written exams, and redo most assignments. Here is what we did in 17-645...
1895
How AI destroys institutions
Civic institutions—the rule of law, universities, and a free press—are the backbone of democratic life. They are the mechanisms through which complex societies encourage cooperation and stability, while also adapting to changing circumstances. The real superpower of institutions is their ability to evolve and adapt…
1896
AI for developers and Google Workspace
Introducing new generative AI capabilities in Google Cloud and Google Workspace, plus PaLM API and MakerSuite for developers.
1897
Someone is running mass vulnerability scans, spoofing AI bots like ClaudeBot
A continuously updating analysis of bot vs. human traffic, AI training, fetching, search indexing, browsing, robots.txt compliance, and AI chat referrals across 5,000+ websites.
1898
All models are wrong, but some are completely wrong
At this critical time in the modern history of the human race, mathematical models have been pushed into the foreground. Epidemic forecasting informs policy and even individual decision-making. Sad…
1899
Stable Diffusion Is the Most Important AI Art Model Ever
A state-of-the-art AI model available for everyone through a safety-centric open-source license is unheard of.
1900
With AI you need to think bigger
I have noticed something in the past 12 months, something a little profound. I have noticed that I am no longer scared that a project will be too big or too complex for me, or that a project will use a technology or programming language I don’t know.
1901
StableCode
Stability AI has just announced the release of StableCode, its very first LLM generative AI product for coding. This product is designed to assist programmers with their daily work while also providing a great learning tool for new developers ready to take their skills to the next level.
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1903
A Gentle Introduction to Bayes’ Theorem for Machine Learning
Bayes Theorem provides a principled way for calculating a conditional probability. It is a deceptively simple calculation, although it can be used to easily calculate the conditional probability of events where intuition often fails. Although it is a powerful tool in the field of probability, Bayes Theorem is also…
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1906
The availability of text generators will force positive changes to education
Teachers adapted to the calculator. They can certainly adapt to language models.
1907
GPT-5: Overdue, overhyped and underwhelming. And that's not the worst of it
A new release botched … and a breaking research new paper that spells trouble
1908
We charge $10k a week to delete AI-generated code
Your AI-built product works, but past 100,000 lines every change breaks two things. Three senior engineers make your codebase maintainable again. One week, fixed price, guaranteed.
1909
Google’s most advanced voice search has arrived on iOS
The new Google Search app for iPhone and iPad helps you with enhanced voice search that answers any question.
1910
A non-technical explanation of deep learning
This document will explain what neural networks are and how they work, which will help you understand how AI and machine learning work. In the scenario below you'll play the part of the neural network.
1911
Skills Officially Comes to Codex
Give ChatGPT and Codex new capabilities and expertise
1912
AI Data Laundering
Tech companies working with AI are outsourcing data collection and training to academic/nonprofit research groups, shielding them from potential accountability and legal liability.
1913
Pushing ChatGPT's Structured Data Support to Its Limits
“Function calling” with ChatGPT is ChatGPT’s best feature since ChatGPT.
1914
1915
Online art communities begin banning AI-generated images
Online art communities have started banning AI-generated art, while others are facing public pressure from their own members to take a stand.
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1917
If you don't run your own LLM proxy, how do you know whats going on?
I think the title captures the idea fully but I'll dig into it because this ain't Twitter. You're working an idea, a piece of code, or a multibillion a year SaaS app which is probably saving the world. Maybe you're automating the cloning process of grabbing
1918
Helix: A vision-language-action model for generalist humanoid control
Figure was founded with the ambition to change the world.
1919
The bitter lesson is coming for tokenization
Highlights the desire to replace tokenization with a general method that better leverages compute and data. We'll see tokenization's fragility and review the Byte Latent Transformer arch.
1920
Calculating the cost of a Google DeepMind paper
Recently, GDM released a great paper titled, Scaling Exponents Across Parameterizations and Optimizers, in which they conduct over 10,000 LLM training runs to obtain optimal hyperparameters under different regimes. After reading it (it was great), I wanted to test my understanding of the paper by tallying up all…