Berlin Brown and Software Development

 This response was from Open AI - Chat GPT, did some initial research on popular sites and ad usage,  1. CNN – 57 ads Popularity: Very high; one of the most visited news sites globally. Ads & Cookies: Heavy ad load supports free content. Likely uses cookies for personalized content and ad tracking. 2. Apple.com – 0 ads Popularity: Extremely high; brand-driven site. Ads & Cookies: No ads because Apple monetizes via product sales, not ad revenue. Cookies are mostly for site functionality and analytics. 3. Google.com – 0 ads (homepage) Popularity: One of the most visited sites in the world. Ads & Cookies: No ads on the search homepage itself, but uses cookies heavily for personalized ads and tracking across Google services. 4. Adrienn White (adriennwhite.com) – 0 ads Popularity: Niche/personal site, likely low traffic compared with mainstream media. Ads & Cookies: No ads; cookies likely minimal, for analytics or functional pur...

 I asked this to Chat GPT See https://worldmodels.github.io/ https://thousandbrains.org/ From open AI/ Chat GPT Core Differences Aspect World Foundational Models Numenta Inspiration Engineering + scaling laws Neuroscience (cortical theory) Architecture Transformers (dense, attention-heavy) Sparse networks, dendritic computation Learning Pretraining on massive static datasets Online/continual learning, sequence memory Efficiency Extremely compute- and energy-intensive Sparse and potentially energy-efficient Generalization Broad (text, multimodal, reasoning) Narrower so far, more sequence-oriented Maturity Deployed in production worldwide Mostly research + limited prototypes Big Picture WFMs = brute force scale, general-purpose but costly. Numenta = biologically inspired efficiency, promising but not yet dominant. The tension is: 👉 WFMs show what’s possible with scale today, 👉 Numenta is trying to show what’s possible if we build AI more like the brain.

 More information on GPU: https://jax-ml.github.io/scaling-book/gpus/

 Just learning about this, response from Open AI Chat GPT. On Lucy Guo Founding Scale AI In 2016, Lucy and Alexandr Wang founded Scale AI (via Y Combinator), originally conceptualized as an “API for humans.” They landed on solving a real pain point: data labeling for AI , especially for autonomous vehicles. One of their earliest customers was Cruise The Solution: “API for Humans” Scale AI positioned itself as an API layer between companies and a human workforce . Instead of building your own data-labeling team, you could make an API call like: { "task" : "label image" , "data" : "car.jpg" } And Scale would automatically route that task to humans (plus machine learning models for pre-processing), then return the annotated result . To the engineering team, it looked like calling any other API. But behind the scenes, it was a managed pipeline of people + ML models doing the work

  OneTrust Specializes in governance, risk, compliance (GRC) software with a strong focus on AI governance and data protection. Headquartered in Atlanta, serving over 14,000 customers. Website : https://www.onetrust.com/ Innova Solutions A global IT and business services firm based in Atlanta, delivering AI, generative AI, automation, data analytics, and cloud services. Founded in 1994, with over 50,000 employees and nearly $3.5 billion in annual revenue.  Website : https://innovasolutions.com/ Closeloop Technologies Inoxoft SDLC Corp Dualboot Partners (again) A42 Labs Novarata GoodF

    Sir Demis Hassabis is a British artificial intelligence researcher and entrepreneur. He is the chief executive officer and co-founder of Google DeepMind and Isomorphic Labs, and   Meta did not hire an engineer for $250 million, but rather an AI researcher named Matt Deitke was hired for a four-year compensation package worth an estimated $250 million. The massive deal was reported by The New York Times and other outlets in early August 2025.   Details of the agreement Initial offer: Deitke, a 24-year-old AI prodigy, first rejected a $125 million offer from Meta. Negotiation: After the initial rejection, Meta CEO Mark Zuckerberg personally intervened to double the offer to $250 million.   https://scholar.google.com/citations?user=k4VxCcYAAAAJ&hl=en And World Foundational Models https://www.nvidia.com/en-us/glossary/world-models/ https://worldmodels.github.io/ Vs Thousand Brains Project https://github.com/thousandbrainsproject