Lifeboat Foundation

Google developed the language model known as Google Bard AI (Bidirectional Encoder Representations from Transformers) to produce high-quality text by anticipating the next word in a given phrase based on context. It is trained on a sizable corpus of text and may be tailored using smaller datasets to produce material in a particular style or domain.

The third version of OpenAI’s language model, GPT-3 (Generative Pretrained Transformer 3), was trained on enormous volumes of text data and is capable of producing text, summarising text, translating text, responding to inquiries, and carrying out a range of other natural language tasks.

Let’s take a look at the top 5 differences between ChatGPT and Google Bard AI.

It is truly an exciting time for the world of computing. Imagine being able to complete complex computing tasks in just a matter of hours, or even minutes, instead of waiting for days on end. L Venkata Subramaniam, a Quantum Distinguished Ambassador at IBM, tells AIM that this dream could become a reality thanks to the incredible power of quantum computing.

“Quantum naturally works in a higher dimensional space where data is better viewed or separated, or you can understand more about the data. Therefore, it is easier to work in quantum on AI problems,” said Subramaniam.

Quantum computing can also be effective in working with fundamental models, such as ChatGPT. Certain early observations suggest that quantum computing can achieve comparable results to classical AI using less training data and has the potential to accelerate the training process for AI models.

Comprehending that other people might think differently from you is a form of intelligence known as theory of mind – what does it mean that the artificial intelligence behind ChatGPT can do as well on tests of it as a 9-year-old child?

ChatGPT and other AI systems are propelling us faster toward the long-term technology dream of artificial general intelligence and the radical transformation called the “singularity,” Silicon Valley chip luminary and former Stanford University professor John Hennessy believes.

Hennessy won computing’s highest prize, the Turing Award, with colleague Dave Patterson for developing the computing architecture that made energy-efficient smartphone chips possible and that now is the foundation for virtually all major processors. He’s also chairman of Google parent company Alphabet.

ChatGPT, a viral AI chatbot, has sparked discourse about the future of AI and how the technology will impact humans.

“It’s both positive or negative and has great, great promise, great capability,” Musk said of AI, adding that “with that comes great danger.”

Musk said Wednesday that the bot “has illustrated to people just how advanced AI has become,” according to Musk.

About 5 in 10 respondents — or 46% — think that AI development will do about the same amount of good and harm, and 41% of people in the sample believe that the technology will ultimately do harm to society overall.

More than half of Americans — 55% — are very or somewhat worried that AI could one day pose a risk to the human race, according to the poll.

Artificial intelligence is a catch-all term that describes a number of different programs that use reams of data to improve their functionality without intervention from software developers. But the recent hype is focused on a new method called “large language models” that analyzes terabytes of data.

Harvey is one of the newest hires at Allen & Overy, the U.K.’s second-largest law firm, and he’s one heck of a workhorse.

Since November, he has been churning out drafts of merger and acquisition agreements as well as memos to clients. He never leaves the office and never takes a coffee break. He’s also not human.

Harvey is the name of the artificial intelligence chatbot the international legal giant has been testing for the past several months, without informing its clients, the Financial Times reported. The tool is available to any of the company’s attorneys.

Cory Doctorow, science fiction author, activist, journalist, and blogger, joins David to discuss Big Tech, censorship, science fiction, and much more.
–
Become a Member: https://www.davidpakman.com/membership.
Become a Patron: https://www.patreon.com/davidpakmanshow.
Book David Pakman: https://www.cameo.com/davidpakman.
–

Subsribe to Pakman Finance: https://www.youtube.com/@pakmanfinance.
Follow David on Twitter: http://www.twitter.com/dpakman.
David on Instagram: http://www.instagram.com/david.pakman.
TDPS Subreddit: http://www.reddit.com/r/thedavidpakmanshow/
Pakman Discord: https://www.davidpakman.com/discord.
Facebook: http://www.facebook.com/davidpakmanshow.
Leave a Voicemail Line: (219)-2DAVIDP
–
David’s tech:
- Camera: Sony PXW-X70 https://amzn.to/3emv1v1
- Microphone: Shure SM7B: https://amzn.to/3hEVtSH
- Voice Processor: dbx 266xs https://amzn.to/3B1SV8N
- Stream Controller: Elgato Stream Deck https://amzn.to/3B4jPNq.
- Microphone Cloudlifter: https://amzn.to/2T9bhne.

Continue reading “ChatGPT, AI, and the Future of Big Tech (Cory Doctorow Interview)” »

Research Engineer Ryan McClelland pioneered the design of one-off spacecraft and mission elements for NASA using commercially available AI software.