??Anthropic CEO Dario Amodei's Vision for AI ?? OpenAI's Canvas ?? HBR on AI & Brand Mngt ??Hubspot's State of Marketing Report ?? Geoffrey Hinton
Steven Wolfe Pereira ??
CEO @ Alpha & Co. ? AI, Data & Tech Executive ? Board Director & Advisor ? Entrepreneur & Investor ? Co-Host @ Brand New Podcast
<The Highlights> ??
<AI in Action> ??
This week we're looking at OpenAI's new Canvas feature.
Last Thursday, OpenAI introduced a new way to interact with ChatGPT: an interface it calls “canvas.” The product opens a separate window, beside the normal chat window, with a workspace for writing and coding projects. Users can generate writing or code directly in the canvas, then highlight sections of the work to have the model edit. Canvas is rolling out in beta to ChatGPT Plus and Teams users on Thursday, and Enterprise and Edu users next week.
Several consumer AI providers are converging around editable workspaces as a practical way to use generative AI. ChatGPT’s new interface offers similar features to Anthropic’s Artifacts, launched in June, and the viral coding companion, Cursor. OpenAI is racing to match competitor offerings, and launch entirely new capabilities in ChatGPT, as a means to grow its paid user base.
AI chatbots today can’t complete large projects from a single prompt, but they can often create a good starting point. Editable workspaces, like canvas, allow users to fix parts of an AI chatbot’s output that are wrong, without having to scrutinize their prompt and generate a whole new stretch of code.
For more info, read here:
<Getting AI Ready> ??
By Julian De Freitas and Elie Ofek, Harvard Business Review
It can automate creative tasks and improve the customer experience.
Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it encompasses multiple activities designed to build the reputation and image of a business—such as crafting and communicating the brand story, ensuring that the product or service and its price reflect the brand’s competitive positioning, and managing customer relationships to forge loyalty to the brand.
A brand is a promise to customers about the quality, style, reliability, and aspiration of a purchase. AI can’t fulfill that promise on its own (at least not anytime soon). But it can shape customers’ impressions of a brand at every interaction. And it can automate expensive creative tasks—including product design. To succeed with it, you must understand how it is perceived by stakeholders and what can be done not only to mitigate their concerns but to make them avid supporters. Using examples from Intuit, Caterpillar, and LOOP, along with in-depth scholarly research, the authors propose a framework for thinking about the key roles that AI plays when it comes to managing brands effectively.
<The Insight> ??
Hubspot released their "The State of Marketing Report" with insights on a variety of marketing trends, strategies and tactics. Of note was the survey results of marketers using AI tools and chatbots, with the #1 way AI was being used was for research.
<Spotlight> ??
This week's Spotlight is on Geoffrey Hinton.
Last week on Oct. 8th, The Royal Swedish Academy of Sciences awarded the 2024 Nobel Prize in Physics to Geoffrey E. Hinton of the University of Toronto and John J. Hopfield of Princeton University in recognition of their foundational work in machine learning with artificial neural networks.
A British-Canadian computer scientist, cognitive scientist, cognitive psychologist, known for his work on artificial neural networks, Geoffrey is widely referred to as the "Godfather of AI".
Currently a University Professor Emeritus at the University of Toronto, from 2013 to 2023 Geoffrey divided his time working for Google (Google Brain) and the University of Toronto, before publicly announcing his departure from Google in May 2023, citing concerns about the risks of artificial intelligence technology. In 2017, he co-founded and became the chief scientific advisor of the Vector Institute in Toronto.
With David Rumelhart and Ronald J. Williams, Geoffrey was co-author of a highly cited paper published in 1986 that popularised the backpropagation algorithm for training multi-layer neural networks. A leader in the deep learning community, he helped achieve the image-recognition milestone of AlexNet which was designed in collaboration with his students Alex Krizhevsky and Ilya Sutskever for the ImageNet challenge in 2012.
Geoffrey also received the Turing Award in 2018, often referred to as the "Nobel Prize of Computing", together with Yoshua Bengio and Yann LeCun, for their work on deep learning.
In May 2023, Geoffrey announced his resignation from Google to be able to "freely speak out about the risks of A.I." He has voiced concerns about deliberate misuse by malicious actors, technological unemployment, and existential risk from artificial general intelligence. He noted that establishing safety guidelines will require cooperation among those competing in use of AI in order to avoid the worst outcomes. After receiving the Nobel Prize, he called for urgent research into AI safety to figure out how to control AI systems smarter than humans.
<Capital> ??
<What's Ahead> ??
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Open to New Opportunities | Customer Experience & Process Optimization Specialist, MBA
3 周I like the choice between capital and calendar. If you don't get that deep into it take the step now.
I appreciated Dario's framing -- normally we (Anthropic) focus on risks of AI but here are some ways of thinking about the potential upsides over the next 7-10 years and laying out some nice metrics that might correct (given the wide breadth of opinions by "experts" not sure we really have a good handle on the correct metrics yet for prediction). On a related note, has there ever been a silicon valley tech boom wave where the participants ever did anything except ignore all rules/barriers and just tried to scale as quickly as possible? It is clear there is a lot of tension on this topic even inside of large players.