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30 articles about spa in AI news

Midjourney Plans 60-Second Ultrasound Spa in SF by 2027

Midjourney plans a 2027 SF spa with 60-second ultrasound scans, aiming for 100x faster than MRI.

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SpaceX Buys Cursor for $60B in Stock Days After IPO

SpaceX acquires Cursor for $60B in stock days after IPO to fix its AI division, which lost all xAI co-founders and faced scandals.

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IREN Buys Nostrum Group, Adds 490MW Spanish Grid Power for AI Cloud

IREN acquired Nostrum Group, adding 490MW grid power in Spain for AI cloud expansion.

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SVoT Boosts MLLM Spatial Reasoning by 65% via RL-Verified Visual Chains

SVoT uses RL to verify MLLM spatial reasoning states, achieving up to 65% accuracy gains on OOD tests across five domains including Pacman and Gather.

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Claude Desktop Spawns 1.8 GB Hyper-V VM on Every Windows Launch

Claude Desktop spawns a 1.8 GB Hyper-V VM on every Windows launch due to 2,689 stale session files, consuming 11% of RAM.

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Apple AFM Core Advanced: Sparse, Multimodal, iPhone 17 Pro Only

Apple AFM Core Advanced is sparse, multimodal, and exclusive to iPhone 17 Pro, M3+ Mac, M4+ iPad, while AFM Core is dense for other devices.

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Google to Pay SpaceX $920M/Month for xAI Compute Capacity

Google commits $11B/year to SpaceX for compute at xAI data centers, potentially adding $1T to SpaceX's valuation.

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MiniMax M3: Sparse Attention, 1M Context, Multimodal via Together

MiniMax M3 uses sparse attention for 1M context and multimodality, with Together AI serving fast inference.

95% relevant

Jensen Huang: Orbital datacenters have cooling solved by 'space in space'

Jensen Huang says orbital datacenters' cooling problem is solvable because 'there's a lot of space in space,' pointing to radiative panels in vacuum.

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SpatialBench: New Benchmark Tests Foundation Models on 3D Tasks

SpatialBench, a new benchmark from ropedia_ai, evaluates spatial foundation models across 7 tasks and 5 datasets, testing depth estimation, surface normal prediction, and 3D object detection.

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MiniMax M3 Sparse Attention: 15.6x Decoding Speedup at 1M Tokens

MiniMax M3 sparse attention achieves 9.7x prefilling and 15.6x decoding speedup at 1M tokens, reversing M2's full-attention stance.

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Microsoft SkillOpt Trains Agent Skills in Text Space, Beats 52/52 Benchmarks

Microsoft's SkillOpt trains agent skills in text space, achieving best or tied-best results in all 52 settings across 6 benchmarks and 7 models.

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Hacker builds $10/mo persistent workspace for Claude Code

A $10/month persistent workspace for Claude Code and Claude AI using Pi's execution layer, MCP, and Cloudflare Tunnel. Bypasses session context loss by sharing one filesystem and database across all MCP-compatible tools.

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Anthropic Doubles Claude Code Rate Limits, Leases All of SpaceX's Colossus 1

Anthropic doubled Claude Code's 5-hour rate limits and removed peak-hour throttling for Pro, Max, Team, and seat-based Enterprise plans, then disclosed the source of the new capacity: a lease on the entire Colossus 1 data center — 300 MW and ~220,000 NVIDIA GPUs in Memphis — that SpaceX absorbed when it took over xAI.

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Span Launches XFRA Node: Distributed AI Compute in Homes at $3M/MW

Span's XFRA Node offers distributed AI compute at $3M/MW, using home grid capacity. A 100-home pilot this year targets 1.25 MW.

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Qwen3.5-27B Gets Sparse Autoencoders: 81k Features Exposed

Qwen released Qwen-Scope, adding Sparse Autoencoders to Qwen3.5-27B, exposing 81k features across 64 layers for steerable inference.

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Cursor Walked from $50B Round for SpaceX's Compute Offer

Cursor was days from closing a $2B round at a $50B valuation with top investors, but walked away when SpaceX offered $60B and a million H100s, signaling compute access now rivals capital in AI dealmaking.

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New AI Model Decomposes User Behavior into Multiple Spatiotemporal States

Researchers propose ADS-POI, which represents users with multiple parallel latent sub-states evolving at different spatiotemporal scales. This outperforms state-of-the-art on Foursquare and Gowalla benchmarks, offering more robust next-POI recommendations.

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OpenAI Launches ChatGPT Workspace Agents for Team Automation

OpenAI has introduced workspace agents within ChatGPT, powered by Codex, designed to automate complex, multi-step workflows for teams across shared environments like Slack. These agents can gather context, execute tasks, request approvals, and run continuously in the cloud.

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SpaceXAI Partners with Cursor AI to Build 'World's Best' Coding Assistant

SpaceXAI and Cursor AI announced a partnership to integrate SpaceX's engineering data with Cursor's editor, aiming to create a top-tier AI for coding and knowledge work.

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LLMAR: A Tuning-Free LLM Framework for Recommendation in Sparse

Researchers propose LLMAR, a tuning-free recommendation framework that uses LLM reasoning to infer user 'latent motives' from sparse text-rich data. It outperforms state-of-the-art models in sparse industrial scenarios while keeping inference costs low, offering a practical alternative to costly fine-tuning.

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Anthropic Hits $30B Annualized Revenue, Sparking $1T Valuation Talk

Anthropic's annualized revenue reportedly exceeded $30 billion, more than tripling from late 2024. The surge, driven by Claude Code and Coworker, has flipped margins to +40% and sparked investor valuations up to $1 trillion.

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Alibaba Qwen3.6-35B-A3B: 3B-Active Sparse MoE Hits 73.4% on SWE-Bench

Alibaba released Qwen3.6-35B-A3B, a sparse mixture-of-experts model with 35B total but only 3B active parameters. It shows significant gains over its predecessor, scoring 73.4% on SWE-bench Verified and beating Claude 3.5 Sonnet on several vision tasks.

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MiniMax M2.7 Tops Open LLM Leaderboard with 230B Parameter Sparse Model

MiniMax announced its M2.7 model has taken the top spot on the Hugging Face Open LLM Leaderboard. The model uses a sparse mixture-of-experts architecture with 230B total parameters but only activates 10B per token.

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A-R Space Framework Profiles LLM Agent Execution Behavior Across Risk Contexts

Researchers propose the A-R Space, measuring Action Rate and Refusal Signal to profile LLM agent behavior across four risk contexts and three autonomy levels. This provides a deployment-oriented framework for selecting agents based on organizational risk tolerance.

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AI's Claude-y Prose Sparks Debate on Writing Style vs. Substance

Anthropic's Claude AI has popularized a distinct, clear, and polite prose style that is becoming ubiquitous online. This is sparking debate on whether AI will force a greater appreciation for stylistic variety in human writing.

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FedUTR: A New Federated Recommendation Method Using Text to Combat Data Sparsity

Researchers propose FedUTR, a federated recommendation system that augments sparse user interaction data with universal textual item representations. It achieves up to 59% performance improvements over state-of-the-art methods, offering a path to better privacy-preserving personalization where user data is limited.

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Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation

A new arXiv paper introduces SSR, a framework that builds explicit sparsity into recommendation model architectures. It addresses the inefficiency of dense models (like MLPs) when processing high-dimensional, sparse user data, showing superior performance and scalability on datasets including AliExpress.

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Meta Launches Muse Spark, First Model Since Zuck's AI Funding Push

Meta has launched a new AI model called Muse Spark. This is the company's first model release since CEO Mark Zuckerberg announced aggressive AI funding and a shift to open-source development in early 2026.

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Meta's Free 'Spark' LLM Targets 1B Users, Threatening OpenAI's Consumer Base

A new analysis argues Meta's upcoming free model 'Spark', deployed to 1 billion users, could directly threaten OpenAI's consumer market position, where 95% of ChatGPT users are on the free tier.

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