NRTC’s Post

With ChatGPT's release of Memory and the introduction of custom GPTs, we're witnessing the emergence of a platform that enables no-code agent workflows. The growing custom GPT store and expanding capabilities demonstrate the potential. The addition of memory to store information allows us to share stored information between a plethora of AI Agents - each with its strengths, seamlessly collaborating to complete tasks. This marks the future of AI, and OpenAI is paving the way with an intuitive platform. Plus, the revenue-sharing model for custom GPTs is a game-changer.

In the landscape of AI innovation, ChatGPT stands out as a transformative tool that has rapidly become integral to business operations. More than a simple productivity enhancer, it has evolved to meet a diverse array of needs within an impressive 92% of Fortune 500 companies. Dive into our latest article on TechCrunch to explore the depths of ChatGPT's capabilities and its impact on OpenAI's meteoric rise in the tech industry. Stay informed and ahead of the curve: [Read our full analysis here](https://ift.tt/kFy8UEM).

One of our main goals at AirOps is to dramatically simplify complex AI techniques so anyone can use them. Here's a quick video on "chain of thought" prompting, which has shown to improve LLM output quality by up to 50%! 📈 If you're looking to use LLMs for more complex tasks or are frustrated with the consistency of the outputs you get from ChatGPT/Custom GPTs, give chain of thought prompting a try with an AirOps workflow or agent!

Happy to be nominated for an Antitrust Writing Award 2024, the field’s largest awards for written thought (outside court :)🏆   Amidst all hype and speculation surrounding AI in 2023, my London colleague Luke Streatfeild and I focused on economic realities: the value chain of generative AI, emerging business models and the main barriers to entry from data curation to deployment.💡 Our goal? To raise awareness for the risks of high concentration across the AI ecosystem and the need for early regulatory monitoring, which is now starting in several countries.   The 9-page deep dive, only weeks after the release of ChatGPT, became the world’s most downloaded antitrust business article on SSRN in 2023. 📈   If you found our article helpful, your one-click vote could make all the difference, as there will be a Readers’ Choice Award for each sub-category. https://lnkd.in/eDKgydXk While at it, also get inspired from the other nominated articles of colleagues around the globe. Lots of valuable insights.   #AWA2024 #AntitrustWritingAward #GenerativeAI #AIAct

OpenAI made a biiiiig announcement today, and I'm not talking about the GPT Store. You can now sign up for ChatGPT Team ($25/user), which unlike ChatGPT Plus, does NOT train models on your conversations or business data. Privacy concerns have been one of biggest barriers to adopting generative AI. ChatGPT Team should allow way more companies to use ChatGPT in workflows that handle sensitive information, without having to build something custom or shell out $100K for ChatGPT Enterprise. P.S. They also announced the GPT Store today, but honestly, I'm more excited about the team plans. (Edited: Team privacy terms are not exactly the same as Enterprise)

DALL-E 3 Image Generator Now Accessible In ChatGPT Plus via @sejournal, @MattGSouthern: OpenAI grants ChatGPT Plus and Enterprise subscribers access to the advanced AI image creation tool DALL-E 3. The post DALL-E 3 Image Generator Now Accessible In ChatGPT Plus appeared first on Search Engine Journal. https://bit.ly/3rY2kyu

This article discusses some good ideas for working with analyses generated by both humans and AI agents. As long as there are humans in the loop, working with data and analyses generated by human and AI agents will remain a critically valuable skill set — in particular, navigating the minefields of cognitive biases while working with data. Below are some high level points from the article: Decide the go/no-go criteria before seeing the data. Have all the decision makers document their opinion before sharing with each other. Discuss the “mediating judgements” Document the decision rationale Set your “kill criteria”

In my view, all tax-favored organizations should be held to a higher standard of financial reporting so that taxpayers can readily see not only the tax expenditures associated with them but also the results (outcomes) being produced. In my chat with ChatGPT, it declines to disclose the tax expenditures implicitly allocated to OpenAI. However, its conclusion generally supports my point of view: "Overall, embracing open, standard, machine-readable formats for financial reporting in the AI/ML sector can contribute to transparency, efficiency, and innovation, ultimately benefiting stakeholders and the broader ecosystem." https://lnkd.in/eseFJ6cq

What a fun way to spend Friday night (I am in Europe so its already late afternoon here) - on the panel discussion with Hyperbots Inc. team and Ayo Fashina on The Adoption of AI in Finance. The conversation was truly insightful, the audience gave sometimes contradictory perspectives and asked a ton of good questions. Reminder for those who missed - next Thursday I will be hosting a webinar on how to use ChatGPT with spreadsheets. 👉 Register here: https://lnkd.in/gNWGis49 #AIinFinance #Webinar #FinanceAutomation #learningAI

What makes you human? OpenAI's Sam Altman and Mira Murati discuss the capabilities of their future GPT models, how human relationships with AI will change in the future and fears about safety, liability and work as the technology advances. https://lnkd.in/eEeJRStS