Large Language Models (LLMs) challenge conventional automated programming assessment because students can now produce functionally correct code without demonstr...
Multiple Instance Learning (MIL) is the dominant framework for gigapixel whole-slide image (WSI) classification in computational pathology. However, current MIL...
Spatial understanding is a fundamental cornerstone of human-level intelligence. Nonetheless, current research predominantly focuses on domain-specific data prod...
Amid rapid enterprise growth, Anthropic is trying to lower the barrier to entry for businesses to build AI agents with Claude....
Real-time supervisory control of advanced reactors requires accurate forecasting of plant-wide thermal-hydraulic states, including locations where physical sens...
Autonomous vehicles deployed in remote environments typically rely on embedded processors, compact batteries, and lightweight sensors. These hardware limitation...
Nine months after founding Meta Superintelligence Labs, Zuckerberg is ready to show his cards By Chance Townsend !Headshot of a Black manhttps://helios-i.masha...
Debates about artificial intelligence (AI) in education often portray teaching as a modular and procedural job that can increasingly be automated or delegated t...
Automated face recognition has made rapid strides over the past decade due to the unprecedented rise of deep neural network (DNN) models that can be trained for...
Online reinforcement learning (RL) serves as an effective method for enhancing the capabilities of Android agents. However, guiding agents to learn through onli...
GROMACS is a de-facto standard for classical Molecular Dynamics (MD). The rise of AI-driven interatomic potentials that pursue near-quantum accuracy at MD throu...
Large language models (LLMs) have demonstrated strong capabilities in medical question answering; however, purely parametric models often suffer from knowledge ...
The widespread use of clickbait headlines, crafted to mislead and maximize engagement, poses a significant challenge to online credibility. These headlines empl...
Clinical expertise improves not only by acquiring medical knowledge, but by accumulating experience that yields reusable diagnostic patterns. Recent LLMs-based ...
The Data Dilemma in AI Training If you’ve been using LLMs or AI agents for a while, you’ve probably wondered how these tools will be trained in the near future...
Introduction Following the icy reception to Llama 4, Meta is releasing the first model in a new family of AI systems built by its recently formed Superintellig...
Meta Superintelligence Labs is launching its first model since Mark Zuckerberg spent billions overhauling the company's AI efforts. Called Muse Spark, the model...
While Learned Data Compression (LDC) has achieved superior compression ratios, balancing precise probability modeling with system efficiency remains challenging...
As large language models (LLMs) are increasingly trained on sensitive user data, understanding the fundamental cost of privacy in language learning becomes esse...
Article URL: https://ai.meta.com/blog/introducing-muse-spark-msl/?_fb_noscript=1 Comments URL: https://news.ycombinator.com/item?id=47692043 Points: 54 Comments...
https://meta.ai/ Comments URL: https://news.ycombinator.com/item?id=47692043 Points: 148 Comments: 205...
As large language models (LLMs) evolve from static chatbots into autonomous agents, the primary vulnerability surface shifts from final outputs to intermediate ...
There is a strange moment that happens inside every modern AI system, but almost no one ever sees it… Before an AI writes a sentence, answers a question, or sug...
Back to Articleshttps://huggingface.co/blog Contributors !https://huggingface.co/avatars/6cf73fe4b40d179d33e55aec0c7e5313.svghttps://huggingface.co/Vatche !htt...
Dataset - 3,095 standardized AI responses across 43 prompts. - Each response is represented by a 32‑dimension stylometric fingerprint lexical richness, sentenc...
90‑Day Reflections I just wrapped my first 90 days with OpenAI and have had the opportunity to meet with hundreds of our customers. What has struck me most is...
Building an Effective Minimum Viable Product MVP with Coding Agents A minimum viable product MVP is the simplest version of a product that still conveys the co...
Article URL: https://arxiv.org/abs/2604.05091 Comments URL: https://news.ycombinator.com/item?id=47689174 Points: 62 Comments: 10...
While most theoretical run time analyses of discrete randomized search heuristics provide bounds on the expected number of evaluations to find the global optimu...
We present a novel approach for constructing discrete optimization benchmarks that enables fine-grained control over problem properties, and such benchmarks can...
Modern recommendation models have increased to trillions of parameters. As cluster scales expand to O(1k), distributed training bottlenecks shift from computati...
Automated test case generation from natural language requirements remains a challenging problem in software engineering due to the ambiguity of requirements and...
Ensuring ciphertext indistinguishability is fundamental to cryptographic security, but empirically validating this property in real implementations and hybrid s...
The hidden tax in your AI pipeline If you're building with GPT or Claude, you’ve probably done this: 1. Call an API 2. Get a big JSON response 3. Send the whol...
Data leakage is the inadvertent transfer of information between training and evaluation datasets that poses a subtle, yet critical, risk to the reliability of m...
Epithelial tissues dynamically reshape through local mechanical interactions among cells, a process well captured by vertex models. Yet their many tunable param...
!Cover image for Context Engineering: Why Your Prompt Is the Smallest Problemhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,fo...
Artificial intelligence has now run directly on a satellite in orbit. A spacecraft about 500 km above Earth captured an image of an airport and then immediately...
While traditional optimization problems were often studied in isolation, many real-world problems today require interdependence among multiple optimization comp...
OpenAI has built and continues to strengthen safeguards to prevent misuse of our systemshttps://openai.com/index/combating-online-child-sexual-exploitation-abus...
Everyone talks about the LLM. GPT‑4, Claude, Gemini – that’s the celebrity. But after building my first real RAG pipeline, I learned something humbling: the LLM...
!Cover image for “Your AI Agent is Reading Poisoned Web Pages… Here’s How to Stop It”https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity...
'MARCH 31, 2026
Today, we're announcing that Safetensors has joined the PyTorch Foundation as a foundation‑hosted project under the Linux Foundation, alongside DeepSpeed, Helio...
Gemma 4 on Apple Silicon – 85 tok/s with a single pip install !Cover image for Gemma 4 on Apple Silicon: 85 tok/s with a pip installhttps://media2.dev.to/dynam...
!VoltageGPUhttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fu...
Arcee’s New Reasoning Model: Trinity Large Thinking Arceehttps://www.arcee.ai/, a 26‑person U.S. startup, built a 400 B‑parameter open‑source LLM on a $20 mill...
Bigger Model ≠ Better Results: How to Stop Wasting Money on the Wrong AI By Ryan Brubeck | April 2026 You wouldn't use a sledgehammer to hang a picture. Stop us...
