MARKET TRENDS

→ View original post on X — @marek_rosa

AI Intelligence Costs Plummet: Token Prices Drop Rapidly

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@marek_rosa

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10 November 2024 20h19

AI-driven intelligence costs are falling fast: token prices are dropping faster than nearly anything in tech. We might see intelligence (compute, inference) become a renewable, fungible resource, fueled by inputs like hardware (GPUs, TPUs, ASICs), electricity, and the supply

GPT Name Will Disappear Despite Current Uncertainty

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10 November 2024 18h58

Maybe you are right, we will see. However, the name GPT will definitely be gone

OpenAI unlikely to merge GPT-5 and o1 before 2026

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10 November 2024 18h51

You are right, they are going to merge them. However, probably not 2025, as inference-cost for o1 is still too high. That's why I assume there will be one "regular" LLM like GPT-5 (or whatever it's called) and one reasoning model. No merge before 2026

→ View original post on X — @paulroetzer

Enterprise AI adoption remains early, consultants win from complexity

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@paulroetzer

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10 November 2024 18h16

Great recap of where we are with AI today. “enterprise adoption is still very early: mostly low hanging fruit kind of use cases: chat, search, code, or easy to deploy applications. For anything more company-specific or industry specific: consultants are the big winners so far.”

Future AI Models o2 and o3 Will Deliver Significantly Better Results

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10 November 2024 18h12

I am pretty sure next models like o2 or 3 will have much much better results

→ View original post on X — @terence_mills

Artificial Intelligence From A Standing Start

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@terence_mills

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10 November 2024 17h00

Artificial Intelligence From A Standing Start
#AI #AIio #BigData #ML #NLU #Futureofwork @ahier @guzmand
@DavidBrin @denisegarth @dez_blanchfield @diioannid @DioFavatas @gerald_bader http://
ow.ly/XqR630sHOuP

LLM Development Limits: Orion and Gemini Model Improvements

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10 November 2024 16h25

Another interesting perspective on the development of Orion. As I said, though, I believe that this refers to the fact that regular LLMs are slowly reaching their limits. That's why Google is having increasing trouble improving their Gemini models. However, since we can