2311
Google rolls out algorithm change in the US
Insights from Googlers into our products, technology, and the Google culture
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,242 posts.
2312
Pixelopolis, a self-driving car demo from Google I/O built with TensorFlow-Lite
Pixelopolis is an interactive installation that showcases self-driving miniature cars powered by TensorFlow Lite. Each car is outfitted with its own Pixel phone, which used its camera to detect and understand signals from the world around it. In order to sense lanes, avoid collisions and read traffic signs, the phone…
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AI is going to kill app subscriptions
Curated niche app opportunities from Reddit, scored by difficulty and demand.
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AI coding agents are removing programming language barriers
AI coding tools are dissolving the language barriers that once defined our careers. As someone who coded exclusively in Ruby for a decade, I’m now contributing to low-level system projects I couldn’t have touched before. Here’s how AI coding agents enabled my leap from Ruby to C, C++, and Rust.
2318
OpenClaw 2.0, Accidentally
How a push for simpler setup and a first-class browser experience grew into OpenClaw 2.0.
2319
Call-to-Action on SB 1047 – Frontier Artificial Intelligence Models Act
California legislators, under the influence of Effective Altruism activists, are trying to sneak through a disastrous bill for open-source AI and the technology industry generally. SB 1047 creates an unaccountable Frontier Model Division that will be staffed by EAs with police powers, and which can throw model…
2320
Google’s Cloud TPU Pods are now publicly available in beta
Cloud TPU Pods are now available in beta, helping you train models faster and at lower cost in the cloud.
2321
CompileBench: Can AI Compile 22-year-old Code?
We tested 19 LLMs on their ability to handle real-world software engineering tasks like compiling old code and cross-compiling. See how Anthropic, OpenAI, and Google models stack up in our new benchmark – CompileBench.
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The Most Cited AI Papers in 2022
Who Is publishing the most Impactful AI research right now? With the breakneck pace of innovation in AI, it is crucial to pick up some signal as soon as possible. No one has the time to read everything, but these 100 papers are sure to bend the road as to where our AI technology is going. The real test of impact of…
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Roblox Open Sources Real-Time Voice Safety Model
The Research Team at Roblox is discovering new possibilities for the next generation of technology.
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Effective context engineering for AI agents
In this post, we explore strategies for effectively curating and managing their context.
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Machine learning can boost the value of wind energy
Carbon-free technologies like renewable energy help combat climate change, but many of them have not reached their full potential. Consider wind power: over the past decade, wind farms have become an important source of carbon-free electricity as the cost of turbines has plummeted and adoption has surged. However, the…
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FlashAttention: Fast Transformer training with long sequences
Transformers have grown deeper and wider, but training them on long sequences remains difficult. The attention layer at their heart is the compute and memory bottleneck: doubling the sequence length would quadruple the runtime and memory requirements.
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Computational predictions of protein structures associated with COVID-19
The scientific community has galvanised in response to the recent COVID-19 outbreak, building on decades of basic research characterising this virus family. Labs at the forefront of the outbreak response shared genomes of the virus in open access databases, which enabled researchers to rapidly develop tests for this…
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Providing ChatGPT to the U.S. federal workforce
Today, OpenAI for Government is announcing a new partnership with the U.S. General Services Administration (GSA) to launch a transformative initiative. For the next year, ChatGPT Enterprise will be available to the entire federal executive branch workforce at essentially no cost.
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Converting Codebases with LLMs
Leverage LLMs with context like code structure, libraries, and screenshots to streamline code conversion tasks and accelerate development.
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Cerebras Inference now 3x faster: Llama3.1-70B breaks 2,100 tokens/s
Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
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Researchers run high-performing LLM on the energy needed to power a lightbulb
UC Santa Cruz researchers show that it is possible to eliminate the most computationally expensive element of running large language models, called matrix multiplication, while maintaining performance.
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The Google Assistant is going global
Over the past year and a half, the Google Assistant has grown from being available on just one device in one language to across many types of devices, including speakers…
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Unifying the CUDA Python Ecosystem
For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python…
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vLLM large scale serving: DeepSeek 2.2k tok/s/h200 with wide-ep
How vLLM reaches 2.2k tokens per second per H200 for DeepSeek-style MoE serving with Wide-EP, async scheduling, dual-batch overlap, disaggregated serving, CUDA
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Doing a Machine Learning PhD While Working in Japan
An American MEXT scholar shares the pros and cons of doing a PhD in Japan, from funding and part-time work to university life and career options.