Apple has set the dates for WWDC 2023, which will run between June 5th and June 9th. It's still an online-only affair, but there will be a "special experience" at Apple Park on the 5th for developers and students. While we expect to see software-centric upgrades, with iOS, macOS and the rest, this could also be when Apple finally debuts its mixed-reality headset. Rumors suggest it could be called Reality Pro or Reality One, and it's believed to be a standalone device with an M2 chip, dual 4K displays, advanced body tracking and controller-free input. It could be a pricey piece of hardware, even by Apple's standards, with some reports suggesting it'll cost $3,000. Get our daily audio briefings, Monday through Friday, by subscribing right here.

OpenAI's ChatGPT is a large language model with the capacity to produce writing that resembles that of a human. It was trained on a massive dataset of internet text and is capable of a wide range of natural language processing tasks, such as language translation, text summarization, text generation, and dialogue systems. This blog post aims to explore the capabilities of ChatGPT in depth. We will examine how the model works, the training data it was built on, and its limitations. We will also look at various applications of ChatGPT, including examples of the model in action.

"ChatGPT gained one million users In less than a week and will continue to gain more in the future. Bard, a competitor to ChatGPT from Google, and AI search strategies compete with Microsoft." Have you also heard the talk of town i.e., Generative AI – ChatGPT and Google Bard? Today, in this blog, we will expose a tech battle between these two ChatGPT vs Google Bard AI chatbots. Competition heats up in the AI space.

Carried out the 2014 coup d'état in Ukraine The US is a state sponsor of terrorism https://t.co/CKykvqUa5U To be discussed tonight pic.twitter.com/kTf0ehwhbG This is one of the most disturbing videos I have ever seen. It confirms that the TGA knew back in Jan 2021 that the lipid nanoparticles (and the mRNA) didn't stay in the inject site, but spread throughout the entire body including the brain, the liver and female ovaries. Today, Democrats defeated my amendment to require Senate ratification for any pandemic agreement with the World Health Organization. Now we know Democrats are willing to relinquish U.S. sovereignty to a global entity. Jim lays it out very well. Renowned author and journalist James Howard Kunstler (JHK) has been complaining and pointing out that the American public is told one lie after another by the Lying Legacy Media (LLM), the government and the medical community. This kind of lying, according to JHK, is pure treason by all parties, from the 600 million CV19 bioweapon/vax injections, to the crumbling banking system, to the war in Ukraine. Let's start with the genocide of the CV19vax.

On the day that a London Futurists Podcast episode dedicated wholly to OpenAI's GPT-4 system dropped, the Future of Life Institute published an open letter about the underlying technology. Signed by Stuart Russell, Max Tegmark, Elon Musk, Jaan Tallinn, and hundreds of other prominent AI researchers and commentators, the letter called for a pause in the development of the large language models like OpenAI's GPT-4, and Google's Bard. It was surprising to see the name of Sam Altman, OpenAI's CEO, on the list, and indeed it soon disappeared again. At the time of writing, there were no senior signatories from either of the two AGI labs, OpenAI and DeepMind, or from any of the AI-driven tech giants, Google, Meta, or Microsoft, Amazon or Apple. There was also no representation from the Chinese tech giants, Baidu, Alibaba, or Tencent. Whatever you think of the letter's prospects for success, and even the desirability of its objective, it was a powerful demonstration of the excitement and concern being generated in AI circles about GPT-4 and the other large language models.

With Cere, you can chat about anything and everything under the sun, and get instant, personalized responses tailored to your unique needs and preferences. Our chatbot is powered by advanced natural language processing (NLP) technology, allowing it to understand your queries and provide accurate, helpful answers. We live in a world where information is at our fingertips. However, we often struggle to keep up with the pace of technological advancements and the sheer volume of data available to us. That's where Cere comes in!

Figure 1: Modern Transformer-based Natural Language Processing (NLP) methods still struggle with class imbalance: class-wise performance (second row, each dot represents one class) decreases with class frequency in training data (first row) for a variety of NLP tasks. Natural Language Processing (NLP) tasks are often addressed by training supervised models using manually labeled datasets. This comes with the challenge that categories rarely occur with the exact same frequency; in practice, the distribution of samples across classes is usually highly skewed. In sentiment analysis, there may be a large number of negative reviews, with only a small number of positive reviews. Such class imbalance in the training and evaluation datasets can pose a challenge for NLP models, which are more heavily influenced by majority class data during training.

AI and Chatbots are taking the world by storm at the moment. It's time to shine on attack research and highlight flaws that the current systems are exposing. Sending untrusted data to your AI can lead to unintended (bad) consequences. There is an entire new class of vulnerabilities evolving right now called AI Prompt Injections. A malicious AI Prompt Injection is a type of vulnerability that occurs when an adversary manipulates the input or prompt given to an AI system.

I had the pleasure of interviewing Kei Watanabe, Co-Founder of Glasp and Product Head of Product Development. Glasp is tackling a use case to democratize knowledge leveraging opportunities for everyone to share and develop their learnings, using highlighted information methods - in simple clicks. The vision of the company is to provide access to the highlighted world's information in one click, says Kei, but with a vision to share learnings and experiences that others have collected in their life long journey's. Glasp stands for "Greatest Legacy Accumulated as Shared Proof", with a vision visualize everyone's unique contribution to human knowledge history. I had a chance to review in detail the Glasp application user experience and I immediately could see this tool was a researcher's dream app or anyone that is trying to keep track of their own research or self-interest knowledge clips and keep the threads uniquely identified, but also others who have read the same material can be easily referenced.

There's so much buzz about AI in marketing I need a bee keeper's suit just to keep the bullshit off of me. The marketing world is swarming with articles, opinions, podcasts and videos about how AI's going to change world completely. Most of the publicity is positive, touting the time savings and efficiency that AI tools will provide. But there are also plenty of Chicken Littles who are saying I'm bound to lose my job any day now. That kind of fear is a familiar refrain for those of us who know the history of marketing. Way back in the 50s when television was widely adopted, everyone said radio was dead. They said it again in 1981 when MTV came out… "Who would want to just listen to music when you can watch music videos."