Latent Space AI

Latent Space AI
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Feb 12, 2026 • 19min

XAI's Radical Plan: Data Centers In Space

A deep dive into a plan to put AI data centers in orbit and the space-based infrastructure needed to get there. Short explanations of reorganized AI teams and their different product focuses. A look at Starship's role, lunar manufacturing ideas, and the economic case for reusable rockets. Technical hurdles and competitive pressure from big cloud providers are also highlighted.
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Feb 11, 2026 • 13min

Runway Raises $315M for AI World Models

A deep dive into Runway's $315M funding and its mission to build pre-trained world models for simulation and planning. A look at physics-aware video generation, long-form storytelling upgrades, and how video AI differs from text models. Discussion of competition, compute partnerships, and new deepfake regulations shaping industry practices.
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Feb 10, 2026 • 11min

Anthropic to Raise $20B at $350B Valuation

A deep dive into a blockbuster $20 billion fundraising push and a sky-high $350 billion valuation. Discussion of which strategic backers might join and how product wins drive investor momentum. Examination of global expansion plans with India as a major battleground. Coverage of a legal fight in India over the company name and what outcomes could mean for operations.
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Feb 8, 2026 • 12min

Amazon's $200B CapEx Spend Dominates AI Race

A deep dive into massive CapEx bets from Amazon and rivals as tech firms race to lock down scarce high-end compute. A close look at AWS growth, customer wins, and how cloud capacity is swallowing on-premise AI workloads. Discussion of investor unease as companies trade short-term profits for long-term AI infrastructure dominance.
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Feb 7, 2026 • 12min

Reddit's AI Answers & Meta's Vibes App

They dig into Reddit’s shift toward AI-powered search and how it’s being reshaped into a destination for organized, media-rich answers. They cover Reddit’s rapid user growth and rising content licensing revenue. They unpack Meta’s new AI video app Vibes, its creator tools, and possible monetization through credits and subscriptions. They debate challenges for standalone AI video products and where AI fits in social discovery.
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Feb 6, 2026 • 11min

SpaceX Asks FCC for 1M AI Data Centers in Space

A wild plan to put a million AI data-center satellites into orbit and why SpaceX thinks space beats Earth for power and cooling. The merger with XAI and how shared infrastructure could reshape AI computing. Practical hurdles like in-orbit hardware repairs, deorbit rules, and launch economics that keep demand steady. Big-picture timeline predictions for when orbital compute might become cost-effective.
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Feb 5, 2026 • 10min

Anthropic's Opus 4.6 and OpenAI's Codex: New AI Models Compete

They dig into Anthropic’s Opus 4.6 release and its Claude Code upgrades for developers. They unpack the new agent teams feature that splits and coordinates tasks. They highlight million-token context windows for massive codebases. They compare OpenAI’s GPT 5.3 Codex and its developer-focused performance claims. They explore OpenAI’s Frontier enterprise agent platform and SaaS integrations.
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Feb 4, 2026 • 13min

Lotus Health AI Doctor Raising $35M

A look at an AI doctor offering free, 24/7 primary care in 50 languages and how it aims to turn chats into diagnoses and prescriptions. Discussion of the operational model with human oversight, HIPAA and state licensing setup. Exploration of regulatory and liability hurdles that could shape rollout and scaling plans.
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Feb 3, 2026 • 13min

SpaceX Acquires XAI for $1.25 Trillion

A wild merger that would fuse rocket launches with AI infrastructure and create massive launch demand. Ambitious plans to host AI data centers in orbit to sidestep terrestrial power and cooling limits. Local controversies over generators and subsidies, plus big financial strains and IPO timing that could reshape the AI and aerospace landscape.
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7 snips
Feb 2, 2026 • 12min

The History of AI

A brisk tour of AI’s origins, from early philosophical debates to the 1956 naming moment. It covers symbolic AI, the crashes of AI winters, and the 1980s expert system comeback. The shift to machine learning, the data and compute boom that enabled deep learning, and the role of scaling large models are highlighted. It closes with why today’s AI surge feels different and what future accessibility might look like.

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