Hallucination Station: Issue 14

🌟 Editor's Note

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🚀 This Weeks Top Stories in AI

📊 “Accountable Acceleration”: Gen AI Fast-Tracks Into the Enterprise

• According to the Wharton School and GBK Collective 2025 adoption report, 82 % of enterprise leaders now say they use generative AI weekly, and 46 % say it’s part of daily routines.

• The focus has shifted from experimentation to measurement — 72 % of companies now formally measure ROI on Gen AI investments and many are already seeing positive returns.

• Yet significant gaps remain in talent, training and organisational readiness: 61 % of firms report appointing a Chief AI Officer, but capability-building still lags ambition.

  
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☁️ Big Cloud Move: OpenAI & Amazon Ink $38 B Deal

• OpenAI and Amazon have signed a seven-year deal worth $38 billion for cloud computing resources, marking OpenAI’s first partnership with AWS and Amazon’s push deeper into the AI-compute race.

• The agreement will give OpenAI access to Amazon’s data-centres and NVIDIA chips, accelerating model-training and large-scale inference for services such as ChatGPT.

• For Amazon, the deal underscores the high-stakes competition in cloud infrastructure as rivals like Microsoft and Google LLC race for AI-driven workloads and infrastructure dominance.

  
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🚀 Space-Based AI Infrastructure: Google’s Moonshot Design

• Google Research has published a blog outlining a “space-based, scalable AI infrastructure system design,” introducing modular satellite constellations to host AI compute workloads in orbit.

• Key engineering challenges the team flags include high-bandwidth inter-satellite links, radiation-hardened hardware for space, and orbital formation control — all wrapping up into a vision of compute closer to unlimited solar energy.

• While firmly research-stage, this work signals a long-term bet on decoupling AI infrastructure from Earth’s energy/land constraints — a provocative revisiting of how and where we build the compute for next-gen models.

  
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🧠 Moonshot AI Unveils Kimi K2 Thinking: A Leap in Agentic Reasoning

• Moonshot AI introduces Kimi K2 Thinking, a next-generation open-source “thinking agent” capable of 200–300 sequential tool calls—enabling deeply structured, multi-step reasoning across math, coding, and search tasks.

• The model achieves state-of-the-art results on benchmarks like Humanity’s Last Exam (44.9%), BrowseComp (60.2%), and SWE-Bench Verified (71.3%), surpassing many top-tier systems in reasoning, browsing, and software development.

• Combining test-time scaling and quantization-aware INT4 inference, K2 Thinking doubles generation speed while maintaining frontier performance—highlighting Moonshot’s push toward scalable, efficient reasoning models.

  
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🌍 Microsoft’s Vision for Humanist Superintelligence

• Microsoft AI, led by Mustafa Suleyman, unveiled a bold new framework called Humanist Superintelligence (HSI) — advanced AI designed to serve humanity, stay constrained within human control, and focus on solving real-world challenges rather than chasing limitless autonomy.

• HSI prioritizes domain-specific superintelligences in areas like healthcare, education, and clean energy — including medical superintelligence models already outperforming human experts on complex diagnostics and new AI companions aimed at personalized learning and mental well-being.

• Suleyman calls for global containment and alignment standards, urging the industry to reject the “race to AGI” narrative and instead pursue controlled, ethical progress that enhances human dignity, safety, and prosperity.

  
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🦄 Other Bits

• Musk bags $1TN pay package

• EU could loosen AI regulation

• More AI bubble content

🔥Meme-while in AI

(Coming next week - send me your favorite AI memes)

🏆Tool of the Week (not sponsored!)

I recently made the switch from Jira to Linear for my personal projects, and I must say, it’s been a game changer. This isn’t a sponsored post btw - it’s just a really good product!

Linear – Plan and build products

Linear streamlines issues, projects, and roadmaps. Purpose-built for modern product development.

linear.app

Did You Know? The first computer bug was literally a bug—in 1947, Grace Hopper found a moth trapped in a Harvard Mark II computer, coining the term "debugging" in the process.

Till next time,