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- AI Reading for Thursday September 18
AI Reading for Thursday September 18

Huawei's 1m-NPU AI behemoth - TechRadar
The hunger strike to end AI - The Verge

Google pauses 'homework help' feature in Chrome after educator backlash - The Washington Post
Designing AI-ready data pipelines and enterprise architectures in compliance-heavy environments - InfoWorld

McKinsey on AI in asset management - McKinsey & Company
came out in July but they reposted the chart and it caught my eye.
25-40% productivity lift plus hard to measure quality improvements , they claim. Culture is the hardest part of this sort of digital transformation
Mckinsey-speak: six imperatives to capture AI value: domain-based transformation via zero-based, AI-enabled workflow redesign; revamping talent strategies; optimizing operating models (centralized oversight with decentralized experimentation); controlling technology road maps; developing strong data strategies; and enabling cultural change — noting agentic AI as a once-in-a-generation margin-recovery opportunity and urging decisive investment across all six pillars.
AI buildout rodents of unusual size?

Some expect Microsoft to end up with $150 billion stake in OpenAI's for-profit unit - Windows Central
Google DeepMind claims ‘historic’ AI programming breakthrough - Google DeepMind
OpenAI says they beat Google in programming competition, scoring 12/12 vs Google's 10/12 - X (formerly Twitter)
An agent to fix your problems created by your other agents, it's agents all the way down - Business Insider
Reddit, Google in talks to deepen AI partnership, including pay per AI summary snippet or something - Search Engine Land

Google’s Nano Banana Changes the Game for Image Editing - Hacker Noon
ChatGPT adding a control on GPT-5 Thinking to control the amount of thinking: light, standard, extended, heavy. - X (formerly Twitter)
Towards a "Physics Foundation Model" with (1) superior performance across multiple physics domains, outperforming specialized architectures by up to 29×, (2) zero‑shot generalization to unseen physical systems, and (3) stable long‑term predictions through 50‑timestep rollouts - arXiv.org
sort of like LLMs being a zero-shot general ML for problems like, classify this text for sentiment or spam or whatever, we'll have generalized ML where you could describe a system in words or pictures and get a numerical forecast or maybe a model

Meta launches $799 VR glasses - Business Insider
they are real and they are spec-tacular and they only cost like $60b to get to this point
Meta said in July that Reality Labs, its hardware division, lost $8.7 billion during the first six months of this year, and expenses will continue to grow. - The Washington Post
Reviewing AirPod simultaneous translation - The New York Times
Figure robot loading a dishwasher - X (formerly Twitter)
Waymo scaling out - Business Insider
AI changes how we talk, which in turn will change training data as we co-evolve with our new best friend - TechRadar

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