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”Generative AI may indeed be turning out to be a dud, financially.”
—Gary Marcus
#generativeai #largelanguagemodels
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#largelanguagemodels
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”Scaling has run out…; models still don’t reason reliably…; the financial bubble may be bursting; there still ain’t no GPT-5; Sam Altman can’t be trusted; an overreliance on unreliable LLMs…has indeed gotten the world into deep doodoo. … LLMs are not the way. We definitely need something better.”
—Gary Marcus
https://garymarcus.substack.com/p/scaling-is-over-the-bubble-may-be
#llm #llms #largelanguagemodels
Marcus on AI · Scaling is over, the bubble may be deflating, LLMs still can’t reason, and you can’t trust Sam
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@skribe Conversely, the cost of printing, distribution, and storage puts up a barrier to spamming people on other continents with mass quantities of low value slop.
Just think through the logistics of a hostile Eurasian state sending a mass quantity of printed materials to Australia or North America.
Or, for that matter, a hostile North American state sending a mass quantity of printed materials to Europe or Asia.
You would either need:–
a) At least one printing press on each continent;
b) You could try shipping the magazines, but they'd be a month out of date when they arrive; or
c) You could try flying them overseas, but that would be very expensive very quickly.
That's before you worry about things like delivery drivers (or postage), and warehouses.
These are less of an issue for books than they are for newspapers or magazines.
And if a particular newspaper or magazine is known to be reliable, written by humans, researched offline, and the articles are not available online, then there's potentially value in people buying a physical copy.
Via #LLRX #AI in #Finance and #Banking, 03/18/25 Semi-monthly column by Sabrina I. Pacifici 5 highlights - The #Finance Sector Is Hitting an Inflection Point With #AI; #ArtificialIntelligence and the #Labor Market; #China #centralbank vows to promote applications of AI #largelanguagemodels; AI and the Extended Workday: Productivity, #Contracting Efficiency, and Distribution of Rents; and The AI #supplychain
https://llrx.com/2025/03/ai-in-finance-and-banking-march-18-2025/ #banking #economy
llrx.comAI in Finance and Banking, March 18, 2025 – LLRX
Chinese AI agent Manus transcends chatbots, founder of start-up Butterfly Effect says https://www.byteseu.com/818108/ #AI #AIAgent #ArtificialIntelligence #baidu #ButterflyEffect #ByteDance #ChatGPT #DeepSeek #GenerativeAI #HuazhongUniversityOfScienceAndTechnology #Ji'an #Jiangxi #Jike #LargeLanguageModels #Manus #OpenAI #RedXiaoHong #RobinLiYanhong #SchoolOfSoftwareEngineerin #shanghai #SocialMedia #Tencent #Tesla #Wuhan #ZhangTao
Bytes Europe · Chinese AI agent Manus transcends chatbots, founder of start-up Butterfly Effect saysChinese start-up Butterfly Effect, creator of general-purpose artificial intelligence (AI) agent Manus, appears poised to shake up the red-hot domestic market for large language models (LLMs), as it focuses on applications beyond ChatGPT-like chatbots.Tencent Holdings-backed Butterfly Effect has caught the AI community’s attention at home and abroad, following its invitation-only online preview last week for Manus, which can execute various practical tasks such as creating a custom website, according to a demonstration video online at manus.im.Touting its edge over chatbots in terms of performance, Manus also claims it can quickly devise an itinerary for a trip to Japan, provide an
https://www.europesays.com/1903007/ Alibaba.com targets 100% AI adoption by merchants in 2025 in global expansion drive #Accio #AGI #AI #AlibabaGroupHolding #Alibaba.com #ArtificialGeneralIntelligence #ArtificialIntelligence #ChatGPT #CloudComputing #DeepSeek #DonaldTrump #ECommerce #EddieWuYongming #GenerativeAI #Hangzhou #infrastructure #LargeLanguageModels #Llama #MetaPlatforms #Qwen #SmallAndMediumSizedEnterprises #UsChinaTradeWar #ZhangKuo
Had a very insightful conversation about the limitations on AI with a marketing copywriter.
Her comment was that actually writing marketing materials is a small part of her job.
If it was just about writing something that persuades a customer to buy a product, it would be a cakewalk.
What takes time is the stakeholder management.
It's navigating conflicting and contradictory demands of different departments.
Legal wants to say one thing. Sales something different. Legal something else entirely.
There's higher-up managers who need their egos soothed.
There's different managers with different views about what the customers want and what their needs are.
And there's a big difference in big bureaucratic organisations between writing marketing collateral, and writing something that gets signed off by everyone who needs to.
She's tried using AI for some tasks, and what that typically involves is getting multiple AI responses, and splicing them together into a cohesive whole.
Because it turns out there's a big difference in the real world between generating a statistically probable output, and having the emotional intelligence to navigate humans.