AlphaBlock’s Post

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 🤖💡

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

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

#News #Cardanoblockchain #AICensorship #CharlesHoskinson Charles Hoskinson Raises Concerns Over AI Censorship: Charles Hoskinson, the co-founder Cardano blockchain ecosystem, expressed his concerns regarding the potential for artificial intelligence (AI) censorship and selective training. Hoskinson described the implications of AI censorship as “profound” and a matter of ongoing concern for him. He argued that they lose utility over time due to “alignment” training. The complete truth about gatekeeping […] The post Charles Hoskinson Raises Concerns Over AI Censorship appeared first on Coinscreed.

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

The Future Demand for Electricity This discussion in designboom on the environmental impact of AI sheds light on a critical issue—one that is likely to gain more attention as AI becomes more ubiquitous. It's essential to acknowledge the substantial energy demands of AI compared to simpler operations like Google searches. This awareness is timely and necessary. However, it's important to note that technology leaders, like NVIDIA, are making strides in optimizing energy efficiency. Their advancements suggest a promising trajectory where the energy consumption of AI could improve even in the short term. Nevertheless, the anticipated rise in electricity demand is undeniable. This leads to a crucial question: where will this increased energy come from? Another point that merits clarification is the distinction between different cryptocurrencies in terms of energy consumption. Bitcoin, known for its high energy usage, often overshadows other cryptocurrencies that have taken significant steps to reduce their environmental impact. Ethereum, the blockchain on which CONCERT operates, exemplifies this. Since transitioning to a proof-of-stake (PoS) model, Ethereum has slashed its energy consumption by an impressive 99.9%. This change highlights that not all cryptocurrencies carry the same environmental burden, and recognizing these differences is essential for a balanced discussion. By addressing these points, we can foster a more nuanced understanding of the environmental implications of both AI and cryptocurrency technologies. https://loom.ly/JoNeNQE #ai #blockchain #energy #sustainability

Data is the foundation for #AI. While we are boisterous about AI as a transformational technology, a super important fact is that there simply isn't isn’t enough data to train all the world’s AI models in the future ; and the data that is there is not diverse and representative enough. We are steadily in a cul-de-sac here First of many blog posts from us at Pertin-ant 🐜, shedding a loud light on the data insufficiency at #AI #AI #Blockchain #web3 #medium #transformation

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

Data is the old and new oil.. but are we running out of the same.. #AI #data #LLMs #blockchain #transformation

#GenerativeAI is powerful and game changing, but can be prone to error. #Testing AI is critical to ensure it accurately produces #data & functions properly! 🤖 Check out this AiThority.Com article by Mav Turner, Tricentis Chief Product and Strategy Officer where he delves into the methodology of #redteaming -- the practice of simulating 🌎 real-world attacks and unexpected scenarios to challenge your #AI systems.