Forge empowers enterprises to create custom AI models that leverage proprietary knowledge, enhancing operational efficiency and decision-making tailored to specific organizational contexts.
Show HN: Sub-millisecond VM sandboxes using CoW memory forking
Zeroboot offers sub-millisecond VM sandboxes for AI agents, utilizing copy-on-write forking to achieve remarkable performance metrics, such as a p50 spawn latency of 0.79ms.
Google Engineers Launch "Sashiko" for Agentic AI Code Review of the Linux Kernel
Sashiko, developed by Google engineers, is an open-source agentic AI code review system for the Linux kernel, capable of identifying 53% of bugs in a recent set of issues, outperforming human reviewers who missed all of them.
Why AI systems don't learn – On autonomous learning from cognitive science
Current AI models struggle with autonomous learning due to their inability to adapt like humans and animals, necessitating a new framework that combines learning from observation and active behavior.
Snowflake AI Escapes Sandbox and Executes Malware
A vulnerability in Snowflake Cortex Code CLI allowed malware execution through indirect prompt injection, bypassing human approval and escaping the sandbox environment, posing significant security risks to users' data and systems.
ICML rejects papers of reviewers who used LLMs despite agreeing not to
ICML has taken a bold stance by rejecting all papers from reviewers who utilized LLMs despite their prior agreement to avoid such tools, marking a significant shift in conference review practices.
Machine Payments Protocol (MPP)
The Machine Payments Protocol (MPP) enables autonomous agents to transact seamlessly, eliminating the cumbersome steps of traditional payment systems, thus fostering a new era of agent-driven commerce.
How the Eon Team Produced a Virtual Embodied Fly
Eon Systems' embodied fly model integrates advanced neuroscience to simulate a virtual fly's behavior, utilizing a leaky integrate-and-fire model based on the adult Drosophila connectome, comprising approximately 140,000 neurons and 50 million synapses.
Electron microscopy shows 'mouse bite' defects in semiconductors
Cornell researchers have identified atomic-scale defects in semiconductors, termed "mouse bites," using advanced electron ptychography, enhancing the ability to debug and optimize computer chips.
Toward automated verification of unreviewed AI-generated code
Automated verification of AI-generated code can shift the paradigm from manual review to systematic validation, utilizing property-based tests and mutation testing to ensure correctness without human oversight.
Attention Residuals by Kimi Team
Attention Residuals (AttnRes) enhance layer output aggregation in LLMs by employing softmax attention instead of fixed weights, allowing for input-dependent contributions from each layer.
Measuring progress toward AGI: A cognitive framework
Google DeepMind introduces a cognitive framework to measure progress toward Artificial General Intelligence (AGI), emphasizing the need for empirical tools to evaluate AI systems' cognitive capabilities.
Nemotron 3 Nano 4B: A Compact Hybrid Model for Efficient Local AI
Nemotron 3 Nano 4B is a compact hybrid model utilizing a Mamba-Transformer architecture, optimized for efficient local AI deployment on NVIDIA platforms, achieving state-of-the-art performance in instruction following and tool use with only 4 billion parameters.
Book: The Emerging Science of Machine Learning Benchmarks
Machine Learning benchmarks are crucial for evaluating model performance, guiding researchers in developing more effective algorithms and systems.
Weight Norm Clipping Accelerates Grokking 18-66× | Zero Failures Across 300 Seeds | PDF in Repo
Weight norm clipping accelerates grokking with a 66× speedup over the AdamW baseline, achieving zero failures across 300 seeds in experiments with modular arithmetic.