AI News
Best Vector Databases in 2026: Pricing, Scale Limits, and Architecture Tradeoffs Across Nine Leading Systems
Vector databases have graduated from experimental tooling to mission-critical infrastructure. In 2026, vector databases serve as the core retrieval layer...
NVIDIA AI Just Released cuda-oxide: An Experimental Rust-to-CUDA Compiler Backend that Compiles SIMT GPU Kernels Directly to PTX
Step 01 of 09 · Prerequisites What You Need Before You Start cuda-oxide has specific version requirements for each dependency....
NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing
Training a family of large language models (LLMs) has always come with a painful multiplier: every model variant in the...
9 Best AI Tools for Spec-Driven Development in 2026: Kiro, BMAD, GSD, and More Compare
As AI coding agents grow more capable, a structural problem has emerged: speed without clarity. Developers generate working code in...
OpenAI Adds Chrome Extension to Codex, Letting Its AI Agent Access LinkedIn, Salesforce, Gmail, and Internal Tools via Signed-In Sessions
OpenAI has launched a Codex Chrome extension for Mac and PC to streamline browser-based workflows that were previously difficult to...
Build a CloakBrowser Automation Workflow with Stealth Chromium, Persistent Profiles, and Browser Signal Inspection
def cloakbrowser_tutorial_job(): results = { "basic_launch": None, "advanced_context": None, "storage_restore": None, "persistent_profile": None, "rendered_extraction": None, "static_parsing": None, "errors": , }...
Meta AI Releases NeuralBench: A Unified Open-Source Framework to Benchmark NeuroAI Models Across 36 EEG Tasks and 94 Datasets
Evaluating AI models trained on brain signals has long been a messy, inconsistent topic. Different research groups use different preprocessing...
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Google AI Releases Multi-Token Prediction (MTP) Drafters for Gemma 4: Delivering Up to 3x Faster Inference Without Quality Loss
Large language models are getting incredibly powerful, but let’s be honest—their inference speed is still a massive headache for anyone...
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Zyphra Introduces Tensor and Sequence Parallelism (TSP): A Hardware-Aware Training and Inference Strategy That Delivers 2.6x Throughput Over Matched TP+SP Baselines
Training and serving large transformer models at scale is fundamentally a memory management problem. Every GPU in a cluster has...
What is Tokenization Drift and How to Fix It?
A model can behave perfectly one moment and degrade the next—without any change to your data, pipeline, or logic. The...
EAG- Assignment 1 – Chinmai R (AI News Letter)
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A Developer’s Guide to Systematic Prompting: Mastering Negative Constraints, Structured JSON Outputs, and Multi-Hypothesis Verbalized Sampling
Most developers treat prompting as an afterthought—write something reasonable, observe the output, and iterate if needed. That approach works until...
Sakana AI Introduces KAME: A Tandem Speech-to-Speech Architecture That Injects LLM Knowledge in Real Time
The fundamental tension in conversational AI has always been a binary choice: respond fast or respond smart. Real-time speech-to-speech (S2S)...
A New NVIDIA Research Shows Speculative Decoding in NeMo RL Achieves 1.8× Rollout Generation Speedup at 8B and Projects 2.5× End-to-End Speedup at 235B
If you have been running reinforcement learning (RL) post-training on a language model for math reasoning, code generation, or any...
