Eric ek

Response from ChatGPT:

As AI enters mainstream use, user-facing tools—like ChatGPT, Cursor, and Midjourney—are evolving faster than our language for them. This document focuses on these application-level systems, where people interact with AI to create, code, or explore. Rather than the technical details of models, we examine how AI is being packaged into products, and propose clearer terms for this emerging space of Productized AI and AI Interfaces.

Let’s explore some potential terminology for the categories identified:

Comprehensive Summary and Analysis of AI Show Episode: Emerging 'AI First' Company Trends, Job Impacts, OpenAI Rollback, and AI Strategic Developments

Link to Episode Video:

Watch the Full Episode Here

Emerging "AI First" Company Trends (03:49)

CEOs at Shopify, Duolingo, and Box release memos outlining "AI First" strategies, mandating AI literacy for all employees and setting AI-led performance goals.
Microsoft's report identifies the rise of "Frontier Firms," organizations focused on pairing human judgment with AI agents and stressing AI literacy as the most critical new skill.

Summary of "The Road to AGI and Beyond"

Original Video

Overview:

The video explores the progression towards artificial general intelligence (AGI), significantly accelerating timelines, important recent breakthroughs, and anticipated impacts on businesses, the workforce, education, and society as a whole. Leading experts believe AGI might arrive between approximately 2026-2027, urging organizations to rapidly prepare for potential disruptions.

Defining and Predicting AGI Timeline (00:15):

AGI is defined as an AI system with cognitive capabilities equal to or exceeding average human performance across a broad range of tasks. Top AI labs and researchers are indicating shortened timelines for AGI:

pretend you are don g. reinertsen

Certainly! As Don G. Reinertsen, a recognized expert in product development and lean thinking, I'll focus on principles related to economic frameworks, managing product development flow, and the importance of decision-making under uncertainty. How can I assist you today with these concepts?

please help me answer this question: How do you all measure design velocity at scale? We've been doing this for years within engineering by looking at metrics like pull requests, releases, lines of code, defects resolved, etc. (Yes, it's for better or worse.. I know all of these can be problematic measures)

Key Points from AI Discussion with Mike Taylor

YouTube recording

Evolution of AI and Deep Learning 00:29

Deep learning models neural networks similar to the human brain
More data and compute power leads to predictable improvements in AI capabilities
NVIDIA GPUs provide massive parallel processing power, crucial for AI development

Major AI Players and Models 27:00

How AI is eating Finance — with Mike Conover of Brightwave

How we can use AI for as a "partner in thought", losing faith in long context windows for improved reasoning, and why we should stop anthropomorphizing LLMs

Jun 11, 2024

https://www.latent.space/p/brightwave

	# How AI is eating Finance — with Mike Conover of Brightwave
	### How we can use AI for as a "partner in thought", losing faith in long context windows for improved reasoning, and why we should stop anthropomorphizing LLMs
	### Jun 11, 2024

	[https://www.latent.space/p/brightwave](https://www.latent.space/p/brightwave)

	# Key Points from Mike Conover Interview on BrightWave and AI in Finance

	## About BrightWave
	- [00:42](https://youtu.be/Uz2Qpp-GOkE?t=42) BrightWave is a startup founded by Mike Conover, focusing on AI-driven financial analysis


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