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Training AI to Paint with Code
I'm a designer and creative technologist based in Brooklyn, NY.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,325 posts.
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Lessons Learned Reproducing a Deep Reinforcement Learning Paper
There are a lot of neat things going on in deep reinforcement learning. One of the coolest things from last year was OpenAI and DeepMind’s work on training an agent using feedback from a human rather than a classical reward signal. There’s a great blog post about it at Learning from Human Preferences , and the…
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If AI scaling is to be shut down, let it be for a coherent reason
There’s now an open letter arguing that the world should impose a six-month moratorium on the further scaling of AI models such as GPT, by government fiat if necessary, to give AI safety and …
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AI is an impediment to learning web development
Some thoughts on AI and LLMs, based on being Head of Engineering for JumboCode , a club of 180 students at Tufts University that builds software for non-profits.
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Humanising LLM Outputs Is Dumb
The largest tell for me to tell where culture and sentiment is shifting for AI tools is usually X, viral GitHub repositories and Hacker News. One of these tells I’ve been seeing a lot lately is skills like I have ADHD and Agents.md instructions such as giving outputs in only ASD-STE100 Simplified Technical English.
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Minecraft with object impermanence
I generally am uninterested in generative AI that's too close to the real thing. But every once in a while there's a modern AI thing that's so glitchy and broken that it's strangely compelling. There's this generative AI knockoff of Minecraft that fails so hard
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Making a racist AI without really trying (2017)
A cautionary tutorial. Let's make a sentiment classifier!¶Sentiment analysis is a very frequently-implemented task in NLP, and it's no surprise. Recognizing whether people are expressing positi
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Our LLM-controlled office robot can't pass butter
Can LLMs control robots? We answer this by testing how good models are at passing the butter – or more generally, do delivery tasks in a household setting. State of the art models struggle, with the best model scoring 40% at Butter-Bench, compared to 95% for humans.
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Long context prompting for Claude 2.1
Claude 2.1 excels at retrieving information across its 200K context window, with a simple prompt adjustment improving accuracy from 27% to 98%. Claude 2.1’s performance when retrieving an individual sentence across its full 200K token context window.
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Robot Learns to See in 30 Minutes (2022)
TL;DR: Learning to walk from pixels in the real world by using proprioception as supervision.
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SimpleQA
A factuality benchmark called SimpleQA that measures the ability for language models to answer short, fact-seeking questions.
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Using Opus 5.5 to discover a new eyewitness record of the dodo
Frontier models can now produce novel historical knowledge, but in a really weird way
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DeepSearcher: A local open-source Deep Research
In contrast to OpenAI’s Deep Research, this example ran locally, using only open-source models and tools like Milvus and LangChain.
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Image Completion with Deep Learning in TensorFlow
Content-aware fill is a powerful tool designers and photographers use to fill in unwanted or missing parts of images. Image completion and inpainting are closely related technologies used to fill in missing or corrupted parts of images. There are many ways to do content-aware fill, image completion, and inpainting. In…
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Anthropic's growth just flattened
Look at the monthly numbers...
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AI is making us work more
How tools that were supposed to free us up to find meaning work have exacerbated the rat race.
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Access to frontier AI will soon be limited by economic and security constraints
Soon, access to frontier AI will be scarce and selective
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MCP doesn't need tools, it needs code
Exploration into providing MCPs with the most powerful of all tools: code.
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Using LLM for confidence scoring is a bad idea
LLM-based agents can do a lot of tasks. Or, at least, they can appear to do them. For example, they write code, summarize papers, plan trips, and fill in forms. If you ask one for a probability or a confidence score, it will give you one of those too. I have seen many agent designers use LLMs to generate confidence…
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Amazon’s Face Recognition Falsely Matched 28 Members of Congress with Mugshots
Amazon’s face surveillance technology is the target of growing opposition nationwide, and today, there are 28 more causes for concern. In a test the ACLU recently conducted of the facial recognition tool, called “Rekognition,” the software incorrectly matched 28 members of Congress, identifying them as other people…
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Building Safe AI: A Tutorial on Homomorphically Encrypted Deep Learning
A machine learning craftsmanship blog.
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MiniMax M2.1: Built for Real-World Complex Tasks, Multi-Language Programming
在 M2.1 中, 我们系统性提升了 Rust / Java / Golang / C++ / Kotlin / Objective-C / TypeScript / JavaScript 等语言的能力, 多语言任务整体表现达到业内领先水平, 覆盖从底层系统到应用层开发的完整链路。
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AI model detects asymptomatic Covid-19 infections through phone-recorded coughs
An artificial intelligence model can detect people who are asymptomatic with Covid-19, through cellphone-recorded coughs. The work was led by Brian Subirana and colleagues at the MIT Auto-ID Lab.
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Mxc: Microsoft Execution Containers version 1.0.0
Agents are unlocking enormous productivity gains for customers, but their ability to work across files, networks, and applications can introduce new security risks. This can leave customers feeling like they only have two choices: give agents unrestr
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Deep Text Correcter
Alex Paino's Personal Site and Blog