DeepSeek-V4 Preview introduces a cost-effective 1M context length with two models: DeepSeek-V4-Pro (1.6T total params) and DeepSeek-V4-Flash (284B total params), both designed to rival top closed-source models.
There Will Be a Scientific Theory of Deep Learning
A scientific theory of deep learning is emerging, characterized by properties of the training process, hidden representations, and performance metrics of neural networks, as outlined in five key research areas.
Replace IBM Quantum back end with /dev/urandom
The patch to projecteleven.py replaces the IBM Quantum backend with /dev/urandom, demonstrating that classical noise can recover private keys at rates indistinguishable from quantum hardware, challenging the validity of the original quantum claim.
OpenAI releases GPT-5.5 and GPT-5.5 Pro in the API
GPT-5.5 has been released, featuring a 1M token context window, image input, and advanced capabilities for complex tasks, enhancing the Chat Completions and Responses API significantly.
Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do
Stash transforms AI agents from having amnesia to possessing a persistent memory, enabling them to recall past interactions and preferences seamlessly across sessions, thus enhancing user experience and efficiency.
Lambda Calculus Benchmark for AI
LamBench evaluates AI models on lambda calculus tasks, measuring their performance across various algorithms, with the top model achieving 91.7% accuracy on 120 tasks, showcasing the effectiveness of modern AI in complex problem-solving. For more details, visit the LamBench article and the GitHub repository.
A 3D Body from Eight Questions – No Photo, No GPU
A small MLP model trained on a questionnaire can accurately reconstruct a 3D body with a height accuracy of 0.3 cm and mass accuracy of 0.3 kg, outperforming traditional photo-based methods without requiring images.
FusionCore: ROS 2 sensor fusion (IMU and GPS and encoders)
FusionCore is a ROS 2 sensor fusion SDK that integrates IMU, wheel encoders, and GPS to produce a reliable position estimate, addressing limitations in existing packages like robot_localization and fuse by offering features such as adaptive noise covariance and native ECEF GPS fusion.
[New Optimizer] 🌹 Rose: low VRAM, easy to use, great results, Apache 2.0
Rose is a new stateless PyTorch optimizer that significantly reduces memory usage, outperforming even 8-bit AdamW and achieving results comparable to vanilla SGD without momentum.
We're open-sourcing the first publicly available blood detection model: dataset, weights, and CLI
BloodshotNet is the first open-source blood detection model, designed for Trust & Safety and content moderation, featuring a dataset of 23k+ annotated images and achieving 40+ FPS on CPU.
DharmaOCR: Open-Source Specialized SLM (3B) + Cost–Performance Benchmark against LLMs and other open-sourced models
DharmaOCR, an open-source specialized SLM with 3B and 7B parameters, outperformed major models like GPT-5.4 and Gemini 3.1 Pro, achieving scores of 0.911 and 0.925 respectively.
How Visual-Language-Action (VLA) Models Work
Visual-Language-Action (VLA) models integrate perception, reasoning, and control, enabling robots to interpret visual and linguistic inputs to perform complex tasks like folding clothes or identifying objects.
How would you build an automated commentary engine for daily trade attribution at scale?
Automated commentary engines for trade attribution must balance deterministic precision with dynamic natural language generation, ensuring accurate analysis of thousands of trades while avoiding data hallucination from LLMs.
Open-source 9-task benchmark for coding-agent retrieval augmentation. Per-task deltas +0.010 to +0.320, all evals reproducible
IBM Research uses vLLM at the heart of its RITS Platform
IBM Research's RITS Platform leverages vLLM to provide centralized access to over 100 models for more than 1300 active users, enhancing model inferencing and tuning capabilities across the research community.