The more you hear about today’s new technologies, the more you realize that AI is going to be a real catalyst for disruption. There’s also the idea that people are either going to be disrupted themselves or leading a new type of disruption, so people are hungry for advice on how to use the company’s products. Generative AI to their advantage!
Video: Lots of good thoughts that can guide innovative companies
Group of colleagues relaxing with drinks after conference, using laptop, smiling and cheerful
With that in mind, this is an exciting conference – we learned a lot from Sam Altman during his conference call. Here are some of the highlights you can think about as you’re at the drawing board, trying to figure out the next move forward, reviewing neural network products, and thinking about what AI/ML can do (and can -be what she should and should not do.)
To begin, Sam reminds us that while AI is a game changer – (he also calls it an enabler) – some business principles remain the same.
“Nothing allows you to create a product that people love, to be very close to your users, to think about a sustainable, long-term business strategy,” he says.
And even though he was rather modest at first when I asked him for business advice, he ended up giving me some pretty important advice for new entrepreneurs:
First, he says, let tactics become strategy, not the other way around.
He also recommends a tight feedback loop, with lots of user observation and collaborative testing.
And, he says, it’s important to keep developers “super happy.”
Delving deeper into the deliberate development process, we talk about his experience leading the way with new technologies and how things worked at OpenAI.
“We’re actively reconsidering which personalization to prioritize,” he says, talking about adapting to user environments and generally choosing among a set of goals or alternatives.
Suggesting that we might be at the end of an era of giant models, Sam puts forward this thought: What if we’re currently missing a big idea that will make tomorrow’s disruption even bigger than what we’re experiencing now with chatGPT and all? the rest ?
He recommends “efficient, useful and safe models” and a cautious approach.
We also discuss what is likely to happen when humans embark on this new world.
“Even on the details of our reason we will be wrong,” he predicts.
You can also check out the part where I ask about the industry’s letter to lawmakers calling for a pause on AI development. Given that there is a fairly broad consensus on the need for some form of oversight, this is a question that many of our listeners have probably been waiting to hear.
First, Sam points out that OpenAI has always had a deliberate review strategy.
It is crucial, he asserts, to take the time to study a model, and his response suggests that there are more fundamental ways of self-assessing development that have less to do with with legislators (who often do not know all the developments). lots of technology) trying to control space.
In other commentary, Sam talks about a long-term horizon for capital-intensive businesses, what that means for young professionals, and how to approach the big questions inherent in a corporate environment based on AI.
These are some of the things we talked about during a half-hour of lively reflection on what all this brand new development means for and for the business world.
You owe it to yourself to watch the full video and the interaction between Sam Altman, me and the crowd as we explore these scintillating ideas…