Vetted by NeuralPress's Multi-Agent Verifier for strict factual validity and event relevance. Our compliance engine cross-checks and filters search results to ensure zero false correlations or misleading content.
Primary Sources
The AI Art Gold Rush May Be Starting to Collapse | Bleeding Fool
Creative Bloq reports on what real life artists have to say about AI at a convention in Lake Como. Trouble is, some of those quoted are some of the most pretentious, or worked on projects that do no favors for their reputations: The spectre of AI is creeping into every aspect of our lives, and it has felt for some time as if artists and creatives in general are on the front line. We’ve heard how comic artists such as Stanley ‘Artgerm’ Lau have even told us, “In the future, there will be fewer artists like me – real artists”. […] David Mack, artist on Daredevil and creator of his own Kabuki series, who’s been a regular at Como for many years now, had this to say about AI and how it could affect both this show and in a wider context his own work and career: “I’m just focused on my work, making my work the way I like to make it, so I don’t really have an interest in using it [AI], and I just like making stuff by hand. We’re not machines, we’re people.” He adds, “We can’t do everything precisely. Probably because of [AI], people who make handmade art will be more in demand. That’ll be a more precious commodity because not everyone can replicate it. Talking about the tactile nature of things and a real 3D material object that exists in the physical world. People like that, and that’ll probably be even more treasured, in the future, if more and more people lean towards prompting things on AI to magically just make something.” I think when somebody who worked with Brian Michael Bendis on several issues of Daredevil and Avengers is one of the interviewees, it’s hard to understand why we’re supposed to care, since such work is basically meaningless. Certainly it would be great if what he tells will be so in the future. But that depends on whether they’re talented or just overrated. And Mack is the kind of artist who decidedly belongs in the latter category. As for Artgerm, he may have more talent in his own way, but he’s also, most unfortunately, lent said talents to covers that were stapled onto political propaganda. That has the effect of dampening the impact. British artist Gary Frank, whose career has included drawing Hulk for Marvel but who has now won plaudits as artist on Image’s Hyde Street, part of Image’s Ghost Machine imprint, had his own take on AI: “I think AI is possibly something which has its uses. I don’t think that any of those uses include making art, because art is a human thing. The worry I’ve got is not so much that AI is going to replac...
AI Is Moving From Gold Rush To Utility
The AI Gold RushgettyFor the past three years, the AI industry has been in the model building and training race. This meant bigger models with bigger clusters and more compute, demanding greater amounts of data, compute capability and budget. This race is primarily focused on claiming a stake in the biggest IT movement of the past few decades, a new gold rush. However, as models start to converge on capability and AI platform vendors now look to restrict or manage access to its most powerful, and expensive, models, these companies are shifting from grubstake market claims to a more business-oriented and brass tacks needs of billing and metering access to those models. AI companies are starting to look more like traditional cloud computing companies than cutting-edge AI research labs. The next AI battleground is inference, the act of running trained models in real products, for real users, millions or billions of times a day. The AI race is shifting from increasing power and capability to affordability, privacy and energy usage. Recent market reporting indicates that investors are tracking a move from training-heavy demand toward inference, where autonomous agents, enterprise copilots and always-on AI services create constant AI consumption. Inference Is The Long Term GameBig, highly capable frontier models take months to train and billions of dollars in hardware, power, networking and talent. Yet once that model ships, the focus is shifted to generating revenue from operating that model, something known as inference. Every prompt, query, code completion, image edit, customer-service answer and agentic workflow carries an inference cost. The AI industry’s two phase approach to model development and operationalization is very similar to the approach of cloud computing companies. These companies, with very similar data centers invested heavily in data center development that can handle large, variable loads. Once the big capital investment is made, the shift is to generating revenue through consumption-based pricing. In this way, AI is nothing new.MORE FOR YOUTraining resembles a high-intensity capital project. Inference resembles a utility meter. The former rewards intense research and development, while the latter rewards distribution, uptime, latency, procurement discipline and ruthlessly engineered cost per token. Once AI becomes a service that people use all day, they aren’t merely competing on model quality. They are competing on where inference happens...
College Sports NIL Deals Escalate into Nine-Figure Bidding War - CollegeNetWorth.com
The landscape of college sports is almost unrecognizable now, thanks to the explosion of private NIL (Name, Image, Likeness) deals. The SEC and Big Ten have
Investing in the Architecture of AI’s Future - Goldman Sachs Asset Management
The infrastructure for AI is outdated. Agentic AI demands a total rebuild to solve major physical bottlenecks.
