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Google ML Compiler Inlining Achieves 3-7% Reduction in Size
Posted by Yundi Qian, Software Engineer, Google Research and Mircea Trofin, Software Engineer, Google Core The question of how to compile faster an...
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,240 posts.
1862
Structured outputs on the Claude Developer Platform
Structured outputs on the Claude Developer Platform guarantee API responses match your JSON schemas and tool definitions. Now in public beta for Sonnet 4.5 and Opus 4.1, this feature eliminates parsing errors and failed tool calls for production applications.
1863
RoboCat – A Self-Improving Robotic Agent
Robots are quickly becoming part of our everyday lives, but they’re often only programmed to perform specific tasks well. While harnessing recent advances in AI could lead to robots that could help in many more ways, progress in building general-purpose robots is slower in part because of the time needed to collect…
1864
New bioinspired robot flies, rolls, walks, and more
Developed at Caltech's Center for Autonomous Systems and Technologies, a new robot can autonomously choose from a variety of motions to move through a complex environment.
1865
Cloud GPU Resources and Pricing
Detailed comparison table of cloud GPU providers for deep learning.
1866
LoRA Without Regret
How LoRA matches full training performance more broadly than expected.
1867
Frank Rosenblatt's perceptron paved the way for AI 60 years too soon (2019)
As the Faculty of Computing and Information Science celebrates its 20th year, Frank Rosenblatt’s prescient research into artificial intelligence underscores Cornell’s pivotal role in computing history.
1868
Researchers use AI to turn sound recordings into street images
AUSTIN, Texas — Using generative artificial intelligence, a team of researchers at The University of Texas at Austin has converted sounds from audio
1869
Hopfield Networks Is All You Need
Blog post
1870
How to build a diffusion language model
An introduction to diffusion language models and the research advances that underlie today's diffusion LLMs. We describe the building blocks of recent open-source models, starting from simple masking diffusion, and including techniques for iterative refinement, post-training, and variable-length generation. Material…
1871
Are popular toxicity models simply profanity detectors?
Are popular toxicity models simply profanity detectors? We show how toxicity models overweight profanity, and make mistakes when profanity is used in a positive way.
1872
Developers are choosing older AI models
At Augment Code, we run multiple frontier models side by side in production. This gives us a unique vantage point into how different models behave in real…
1873
Nvidia Announces A100 80GB GPU for AI
SC20—NVIDIA today unveiled the NVIDIA® A100 80GB GPU — the latest innovation powering the NVIDIA HGX™ AI supercomputing platform — with twice the memory of its predecessor, providing researchers and engineers unprecedented speed and performance to unlock the next wave of AI and scientific breakthroughs.
1874
Liquid Foundation Models: Our First Series of Generative AI Models
Announcing Liquid Foundation Models: state-of-the-art local AI with a smaller memory footprint and faster inference.
1875
Radiology-specific foundation model
Harrison.ai builds AI-native medical imaging technology for radiology, used by hospitals and radiology providers worldwide. See our products and solutions.
1876
Signs of introspection in large language models
Research on the ability of large language models to introspect on their own internal states.
1877
Zombie stats: Where the numbers AI quotes come from
We asked five AI assistants 200 questions that call for a number and followed 1,285 of the statistics they cited back to the source.
1878
The main trick in machine learning
I have been irritated that many recent introductions to machine learning/neural networks/whatever that fail to emphasise the most import trick in machine learning. Many internet resources don’t mention it, and even good textbooks often don’t drill it in to the reader the absolute criticality to success the trick is…
1879
Best Practices for Building Agentic AI Systems
Patterns that keep AI agent systems from falling apart in production: two-tier architecture, stateless design, orchestration, and lessons from UserJot.
1880
Six curl CVEs after OpenAI and Anthropic came back with zero
After frontier AI systems came up empty, AISLE surfaced six CVEs in curl, one of the world's most audited codebases. Its maintainers patched all six.
1881
Hidden risk in Notion 3.0 AI agents: Web search tool abuse for data exfiltration
CodeIntegrity research on Notion AI security, Notion 3.0 AI Agents, lethal trifecta risk, indirect prompt injection, web search tool abuse, and data exfiltration.
1882
IBM and NASA build language models to make scientific knowledge more accessible
At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead.
1883
The Rise of Synthetic Audio Deepfakes
Nisos Resources Library is full of interesting case studies, client success stories, infographics, videos and more. Click to see what we do.
1884
SyntaxNet in Context: Understanding Google's New TensorFlow NLP Model
Yesterday, Google open sourced their Tensorflow-based dependency parsing library, SyntaxNet. The library gives access to a line of neural network parsing models published by Google researchers over the last two years. I've been following this work closely since it was published, and have been looking forward to the…
1885
Model Training as Code
Model training has grown complex enough to require many specialised stages and teams, and manual coordination between them doesn’t scale. At Aleph Alpha, we’ve built Savanna, a model factory that implements the entire training pipeline in code.
1886
The Beginner's Guide to Visual Prompt Injections (2023)
Learn about visual prompt injections, their appearance, and top defense strategies against these attacks.
1887
New algorithm unlocks high-resolution insights for computer vision
MIT CSAIL researchers introduce FeatUp, a model-agnostic framework designed to significantly enhance the spatial resolution of deep learning features for improved performance in computer vision tasks such as semantic segmentation, depth prediction, and object detection.
1888
Brown student maps the hidden global labor powering AI
Cunyan Ma’s interactive tool exposes the power structure that extracts low-wage labor from data workers in the Global South to make everyday AI algorithms function.
1889
Code highlighting extension for Cursor AI used for $500k theft
Kaspersky GReAT experts uncover malicious extensions for Cursor AI that download the Quasar backdoor and a crypto stealer.
1890
SHOW-1 and Showrunner Agents in Multi-Agent Simulations
South Park AI is an example of how to generate high-quality episodic content through the use of showrunner agents in the simulation. #AI #simulation #multi-agent