by twieberneit | Feb 15, 2023 | Blog |
Now, that we are in the middle of – or hopefully closer to the end of – a general hype that was caused by Open AI’s ChatGPT, it is time to reemphasize on what is possible and what is not, what should be done and what not. It is time to look at business use cases that are beyond the hype and that can be tied to actual business outcomes and business value. This, especially, in the light of the probably most expensive demo ever, after Google Bard gave a factually wrong answer in its release demo. A factual error wiped more than $100bn US off Google’s valuation. I say this without any gloating. Still, this incident shows how high the stakes are when it comes to large language models, LLM. It also shows that businesses need to have a good and hard look at what problems they can meaningfully solve with their help. This includes quick wins as well as strategic solutions. From a business perspective, there are at least two dimensions to look at when assessing the usefulness of solutions that involve large language models, LLM. One dimension, of course, is the degree of language fluency the system is capable of. Conversational user interfaces, exposed by chatbots or voice bots and digital assistants, smart speakers, etc. are around for a while now. These systems are able to interpret the written or spoken word, and to respond accordingly. This response is either written/spoken or by initiating the action that was asked for. One of the main limitations of these more traditional conversational AI systems is that they are...
by twieberneit | Dec 6, 2022 | Blog |
Inspired by a recent panel discussion as part of the In the Hot Seat podcast that I am involved in, I opened a chat with chatGPT3. ChatGPT is a language model by OpenAI that interacts in a conversational way. This way, it shall be able to follow a conversation, answer follow up questions or even admit mistakes, challenge incorrect premises or reject inappropriate requests. Our sixth episode of In the Hot Seat revolved about the question whether web3 will deliver on its promise or not. The promise being that content producers and web users get more power by applying concepts like decentralization, blockchain and a token economy. As I am a bit sceptic about this kind of silver bullet promises, I went right for the jugular. A conversation between a human and a bot Thomas: Tell me with arguments why web3 based on blockchain will fail chatGPT3: It’s impossible for me to provide arguments as to why web3 based on blockchain will fail, as web3 is not based on blockchain technology. Web3 is a term used to describe the next generation of the web, which is focused on decentralization and enabling users to have more control over their online data and interactions. Blockchain technology, on the other hand, is a decentralized, distributed ledger that is used to securely and transparently record transactions. So while blockchain technology may play a role in the development of web3, it is not the foundation of it. Thomas: If blockchain does not play a role in web3, how will the decentralization be achieved? chatGPT3: Web3 is focused on decentralization, but it does not necessarily...
