Vera Arrives: NVIDIA’s First CPU Built for Agents Lands at Top AI Labs
The first NVIDIA Vera CPUs arrived at three of the world's leading AI labs on Friday — Anthropic in San Francisco, OpenAI in Mission Bay, SpaceXAI in Palo Alto — followed by a delivery to Oracle Cloud Infrastructure in Santa Clara on Monday. NVIDIA Vice President of Hyperscale and High-Performance C...
SandboxAQ brings its drug discovery models to Claude — no PhD in computing required
Other venture-backed companies like Chai Discovery and Isomorphic Labs have raced to build better models. SandboxAQ is betting that the bigger obstacle is access, and that Claude solves it.
Meet MemPrivacy: An Edge-Cloud Framework that Uses Local Reversible Pseudonymization to Protect User Data Without Breaking Memory Utility
As LLM-powered agents move from research to production, one design tension is becoming harder to ignore: the more useful cloud-hosted memory becomes, the more private user data it exposes. Researchers from MemTensor (Shanghai), HONOR Device and Tongji University have introduced MemPrivacy, a framewo...
Stochastic Gradient Descent (SGD’s) Frequency Bias and How Adam Fixes It
Modern language models are trained on data with extremely uneven token distributions. A small number of words appear in almost every sentence, while many rare but meaningful tokens occur only occasionally. This creates a hidden optimization challenge: parameters associated with common tokens receive...
40 Advanced SQL Window Functions Every Data Scientist Must Know(with examples)
In the world of data science, SQL still remains the powerful tool for defining the data, data manipulation, data aggregation and data analysis. While basic SQL commands are very fundamental, and everyone knows about it. If you want to be the unique in the crowd then you should know advanced features...
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. When Google opens its doors tomorrow for its annual developer conference, I/O, it will do so as a clear third place in the foundation model race. A year ago, at G...
Elon Musk has lost his lawsuit against Sam Altman and OpenAI
Elon Musk's claim that he was mistreated by his OpenAI cofounders failed after nine California jurors decided in a unanimous verdict that his lawsuits had been filed too late.
Six Choices Every AI Engineer Has to Make (and Nobody Teaches)
The production trade-offs that only appear once your model is live.
The post Six Choices Every AI Engineer Has to Make (and Nobody Teaches) appeared first on Towards Data Science.
Why MCP servers keep losing to CLIs once the agent gets a terminal
The post One Flexible Tool Beats a Hundred Dedicated Ones appeared first on Towards Data Science.
I have been running local models as part of my daily workflow for some time, and what surprised me most is how often local turned out to be the better choice, not a compromise.
Agent Skills Work but the Research Shows Most Teams Are Building Them Wrong
This post was originally published on The Nuanced Perspective and is being reposted here with the authors’ permission. Agent skills are everywhere right now. Atlassian built them into Rovo so agents can automatically triage Jira tickets, draft Confluence pages, and route service requests without any...
OpenAI and Dell partner to bring Codex to hybrid and on-premise enterprise environments
OpenAI and Dell partner to bring Codex to hybrid and on-premise environments, helping enterprises deploy AI coding agents securely across data and workflows.
NVIDIA Introduces a 4-Bit Pretraining Methodology Using NVFP4, Validated on a 12B Hybrid Mamba-Transformer at 10T Token Horizon
NVIDIA introduces a 4-bit pretraining methodology built around the NVFP4 microscaling format — combining selective BF16 layers, 16×16 Random Hadamard Transforms on Wgrad inputs, 2D weight scaling, and stochastic rounding on gradients — validated on a 12B hybrid Mamba-Transformer trained on 10 trilli...
AgentStop: Terminating Local AI Agents Early to Save Energy in Consumer Devices
arXiv:2605.15206v1 Announce Type: new
Abstract: Autonomous agents powered by large language models (LLMs) are increasingly used to automate complex, multi-step tasks such as coding or web-based question answering. While remote, cloud-based agents offer scalability and ease of deployment, they raise...
TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination
arXiv:2605.15207v1 Announce Type: new
Abstract: Multi-agent LLM systems have shown promise for complex reasoning, yet recent evaluations reveal they often underperform single-model baselines. We identify a structural failure mode in sequential fine-tuning of shared-context teams: updating one agent...
Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels
arXiv:2605.15208v1 Announce Type: new
Abstract: Large Language Models are routinely compressed via post-training quantization to reduce inference costs and memory footprint for cloud and edge deployment, yet the impact of this compression on model quality remains poorly understood. Existing studies...
Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation
arXiv:2605.15231v1 Announce Type: new
Abstract: Nonlinear finite element crash simulations are accurate but computationally expensive, limiting their use in iterative design optimisation. Machine-learning surrogate models based on graph neural networks (GNNs) offer a faster alternative. Message-pas...
MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion
arXiv:2605.15235v1 Announce Type: new
Abstract: Multimodal physiological data powers clinical AI systems from intensive care units to wearable devices, but sensors routinely fail in practice. Two failure modes are common: modality missing, where an entire channel is absent, and within-modality miss...