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Hackers influence ChatGPT and Gemini to direct users to scam centers
Think you can trust AI to give you correct answer? Think again.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,329 posts.
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Meta's Muse appears to use an OpenAI model labeled muse-special
While Muse was building my website, one subagent ran on a model called azure/muse-special. So I dug through the filesystem again.
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Ramp's Sheets AI Exfiltrates Financials
A vulnerability in Ramp's Sheets AI allowed the agent to insert formulas that made external network requests without user approval, creating the risk of data exfiltration via indirect prompt injection.
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Why are neural networks and cryptographic ciphers so similar? (2025)
Several neural network design principles are almost identical to cipher design principles.
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Breaking up is hard to do: Chunking in RAG applications
A look at some of the current thinking around chunking data for retrieval-augmented generation (RAG) systems.
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Generating MIDI Music with GPT-2
Generating Irish/folk/classical music in ABC format using GPT-2-117M, with good results.
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Dungeon crawling or lucid dreaming?
I’ve done several experiments with a text-generating neural network called GPT-2. Trained at great expense by OpenAI (to the tune of tens of thousands of dollars worth of computing power), GPT-2 learned to imitate all kinds of text from the internet. I’ve interacted with the basic model, discovering its abilities to…
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Dragonfly: A large vision-language model with multi-resolution zoom
Dragonfly is a vision-language architecture with multi-resolution zoom for fine-grained image understanding, including a medical model beating Med-Gemini.
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Machine Learning, Kolmogorov Complexity, and Squishy Bunnies (2019)
Computer Science, Machine Learning, Programming, Art, Mathematics, Philosophy, and Short Fiction
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Google Research Football: A Novel Reinforcement Learning Environment
Posted by Karol Kurach, Research Lead and Olivier Bachem, Research Scientist, Google Research, Zürich The goal of reinforcement learning (RL) is ...
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Translating Between Statistics and Machine Learning
This SEI Blog post explores the differences between statistics and machine learning and how to translate statistical models into machine learning models.
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Guide to Speech Recognition with Python
An in-depth tutorial on speech recognition with Python. Learn which speech recognition library gives the best results and build a full-featured "Guess The Word" game with it.
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Wonder Animation – Video to 3D Animation
Wonder Dynamics (Autodesk company), launches Wonder Animation, groundbreaking video-to-3D scene technology that accelerates animated film production by turning any video sequence into a 3D-animated scene.
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FastText is the best text classification library for a quick baseline
Text classification is a very frequent use case for machine learning (ML) and natural language processing (NLP). It’s used for things like spam detection in emails, sentiment analysis for social media posts, or intent detection in chat bots. In this series I am going to compare several libraries that can be used to…
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OpenAI and Broadcom unveil LLM-optimized inference chip
OpenAI and Broadcom introduce Jalapeño, a custom AI chip built for LLM inference to improve performance, efficiency, and scale across AI systems.
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Is Google’s AI research about to implode?
What does Timnit Gebru’s firing and the recent papers coming out of Google tell us about the state of research at the world’s biggest AI…
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AI is too expensive
If you liked this piece, you should subscribe to my premium newsletter. It’s $70 a year, or $7 a month, and in return you get a weekly newsletter that’s usually anywhere from 5,000 to 18,000 words, including vast, detailed analyses of NVIDIA, Anthropic and OpenAI’s
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Securing our frontier model training environment
OpenAI explains how we strengthened containment for frontier model training and evaluation, including offline environments and high-compute red-teaming.
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The Competitive Moat That AI Can't Replicate
In a world racing to automate every interaction, the organisations that invest in genuine human connection are quietly building something no algorithm can copy.
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Claude Code: Anatomy of a Misfeature
On Canada Day (July 1), 2026, Anthropic shipped a surprising "easter egg" to users of Claude Code: `2.1.198` includes an efficiency bypass which allows agents to continue on without being blocked on direction from a human.
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Price per 1M tokens is meaningless
It stops being all about the vibes when the API bill hits you. Many companies are now discovering that AI can indeed be pricey. One habit that might be driving up your AI bill is comparing models by $X per 1M tokens ....
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The Most Popular Language for Machine Learning
IBM Developer is the source for hands-on training and in-demand learning on relevant technologies such as generative AI, data science, Java, and more.
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Google and Ambient Computing
Google presented a vision of ambient computing that goes beyond the smartphone. The company is well-placed, but faces challenges both in the marketplace and in the mirror.