The potential of #AGI in industry and in our daily lives, is well — transformative !!. LLMs (and LLMs are just one example of AGI tooling) are cavernous in their requirements of data; what is however happening is (and is borne out by hard facts) that we are heading towards finitism in the datasets that are needed to explore, and capitalize on, AGI’s infinite possibilities. Drum roll… Here comes Pertin-ant. Pertin-ant is the only of its kind, internet, web3 and blockchain project that enables the global internet populace , to monetize their knowledge and daily interactions, accelerating the development of AGI. Do read on.. #AI #AGI #AItrainingdata #AItraining #LLMs #LLM https://lnkd.in/gQNA_VZ8
Pertin-ant 🐜’s Post
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Finitism in #AI datasets can be mitigated if a more significant portion of the worldwide internet populace can create data, and if there were a method to incentivize these interested contributors to create such data. A big drum roll for Pertin-ant 🐜here... #AI #AGI #LLMs #trainingdata
The potential of #AGI in industry and in our daily lives, is well — transformative !!. LLMs (and LLMs are just one example of AGI tooling) are cavernous in their requirements of data; what is however happening is (and is borne out by hard facts) that we are heading towards finitism in the datasets that are needed to explore, and capitalize on, AGI’s infinite possibilities. Drum roll… Here comes Pertin-ant. Pertin-ant is the only of its kind, internet, web3 and blockchain project that enables the global internet populace , to monetize their knowledge and daily interactions, accelerating the development of AGI. Do read on.. #AI #AGI #AItrainingdata #AItraining #LLMs #LLM https://lnkd.in/gQNA_VZ8
AI has a data problem… How does Pertin-ant propose to help
medium.com
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Quality over quantity - are we running out of internet data to train AI models? It "is becoming increasingly repetitive, redundant, and, perhaps most alarmingly, insufficient for the next leaps in AI innovation ... One of the greatest challenges we face in AI today is not just the acquisition of data, but ensuring that the data feeding our models is diverse, unbiased, and reflective of real-world complexity". The article explores the argument for use of "decentralised" technologies, "building a human-centered AI ecosystem where individuals have ownership over their data", including potentially the use of blockchain. https://lnkd.in/e5g8z92Y #ai #LLMs #GANs #artificialintelligence #blockchain
Are We Running Out of Internet Data to Train AI Models?
thestreet.com
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Today I received an interesting article in my mailing list, I think the blockchain system for fact checking is not realistic, but overall the right issue is raised, there is something to think about. #GenAI #AI #AITraining #Fake #Art #Deception #ML
Sea of Fakes. How to Train AI in a World of Deception
medium.com
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"The grand vision for AI agents is a system that can execute a vast range of tasks, much like a human assistant." For the future AI agents to be effective, it needs to know not only the user's preference, but also how to carry out tasks in, mostly likely, other systems. Such sensitive information will need to persist, accessible on-demand, and well-guarded. I suspect that very soon such a specialized platform will emerge. Maybe it's time to look at blockchain again. #AIAgents #Blockchain #optwol
What are AI agents?
technologyreview.com
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Blockchain could create new incentivization methods for what is certain to be a radical new stage of an AI-infused information economy, argues Enzo V. The full article is here: https://lnkd.in/gq7h3Mb4
Trust, but verify (with better data): overcoming AI’s hallucination problem | Opinion
https://crypto.news
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California’s AI Bill 1047: A Step Forward for Safety or a Step Back for Innovation? https://buff.ly/3XlEsBT via @ChandraKumar R Pillai on @Thinkers360 #AI #Analytics #Blockchain
California’s AI Bill 1047: A Step Forward for Safety or a Step Back for Innovation?
ChandraKumar R Pillai on LinkedIn
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𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐔𝐥𝐭𝐢𝐦𝐚𝐭𝐞 𝐒𝐡𝐨𝐰𝐝𝐨𝐰𝐧: 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐯𝐬. 𝐆𝐞𝐦𝐢𝐧𝐢! 🌟 Our latest blog post delves into the comparison between ChatGPT, a cutting-edge language model developed by #OpenAI, and Gemini, a prominent cryptocurrency exchange platform. Discover the unique features, applications, and potential use cases of these innovative technologies as we unravel their strengths and differences. Whether you're a tech enthusiast or a curious learner, this insightful comparison will broaden your understanding of AI and blockchain in today's digital landscape. Read more: https://lnkd.in/gN8adXRU #ChatGPT #Gemini #AI #TechComparison 🤖💡
ChatGPT vs Gemini: Let’s See Who’ll Win The Race
bdtask.com
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"When all you have is a hammer (read: AI-enabled chatbot), all your problems look like nails (read: problems to be solved with an AI-enabled chatbot)." The "trough of disillusionment" is strong in this one. AI/ML is much more than a Gen AI chatbot - this entire hype is reminiscent of the NFT and Blockchain hype in the recent past which did not work out very well for the technology itself imo. #genai #AIchatbot #ML
AI chatbot letdown: Hype hits rocky reality
axios.com
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👀 All eyes are on California’s Governor, as the state’s contentious – and, potentially, landmark – #AI legislation awaits its fate. This includes the Safe and Secure Innovation for Frontier Artificial Intelligence Models Bill (SB 1047). If enacted, SB 1047 would directly affect the largest #tech companies developing in-scope AI models, even if such models are developed outside of #California. 💡 For more on the bills and the impact on the tech industry, read our Linklaters team's latest #techinsight. Kristofer Ekdahl, Ieuan Jolly, Shruti Chopra, Caitlin Potratz Metcalf, Jennifer Calver, Elton Qemali, Linklaters Tech Linklaters Americas Wall Street Blockchain Alliance The British Blockchain Association Canadian Blockchain Consortium Wharton Cypher Accelerator Wharton BDAP
California’s AI safety and transparency bills reach watershed moment
techinsights.linklaters.com
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This post very nicely summarizes many of my own thoughts on the current AI hype. And similarly, it feels weird to just have escaped the Blockchain hype (in which I crazily was working on my PhD, which got dropped in favor of joining AtomicJar, Inc. (acquired by Docker) and working fulltime on #testcontainers), just to eventually end-up in the hype wave :D (it is interesting to explore the role of Testcontainers and testing in the context of #GenAI / #LLM applications). https://lnkd.in/exdu7UBb
AI isn't useless. But is it worth it?
citationneeded.news
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