The Most Important New AI Tools from OpenAI DevDay

Nathaniel Whittemore (0:00)

The team at OpenAI said that one of the big changes that had happened internally was that the power of the latest generation of models, like Astra, had increased their speed of development so significantly that many things that they thought were only going to come in 2027 were actually coming as part of this DevDay announcement. The result of that was more than 20 different launches and announcements, including some big headliners like OpenAI's answer to Muse and Grokbot, and some sleeper hits, like the fact that enterprise accounts can now use OpenAI credits on an open marketplace to buy access to open-source models as well. Overall, what we got at OpenAI DevDay does not change the big patterns and trends that we've been seeing in the industry. A move to more cost-efficient models, those models moving to more persistent work, and some amount of that persistent work moving from a solo to a multiplayer experience. Instead, what DevDay reinforced is that these are the trends to pay attention to, and the ones that will reshape how we all use AI in the months to come.

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All right, friends, quick announcements before we dive in. On our website, you can get access to all of our free AI training programs. Those include free multi-week self-directed programs like the Multiplayer AI Sprint, which is live right now, but also free live webinars like the one that is coming up on Thursday, October 1st at noon, that is all about building your personal AI benchmark. You can also find links to our paid trainings such as Super Intelligent Executive Catch Up and the Super Intelligent Executive Agent Leadership Program, both of which are registering new cohorts that start over the next couple of weeks. Now, last note on today's episode. Originally, I was going to try to jam in a full accounting of everything that happened at the White House yesterday on top of OpenAI DevDay, but there was just too much to fit, so I've decided to go all DevDay recap today, and then we will dig much deeper into what came out of Trump's meeting with the leaders of all the major frontier labs, and if and how it changes anything about the future development of AI.

For now, though, let's get into DevDay and find out what it says, not just about OpenAI, but about where we are with AI in general.

It was an absolutely monster day of announcements from OpenAI. In fact, there were so many that on today's episode, we are just going to get through all of the big ones, discussing what the announcement was, whether it was expected or not, people's first impressions, and how it shifts the AI race, if at all. Later on in the week, we'll go deeper on some of the most important ones, but for now, it is gonna take all that we have to get through it.

First up is Dots. OpenAI's answer to Muse, Grokbot, and the wave of personal agents that are taking over the AI space. Sam Altman presented Dots as quote, remarkably capable, always on agents built to handle, really anything you can think of. They bring AI to a whole new form factor. With Dots, users can create a persistent agent, communicate with it through a text message style interface, and then set them to work on tasks using their own cloud computer with support for 40,000 different apps. Dots can also communicate via voice call or across Microsoft Teams and Slack with persistent context carried over between services and sessions.

Functionally, it shares a lot with Muse right down to the Qt mascot. However, at least at the time of release, there are a few caveats worth noting. For now, users can only create one Dot at a time, but OpenAI plans to expand teams of agents in the future. The other big difference from Muse is that OpenAI is only offering Dots to pro business and enterprise customers. One of the big reasons Muse has been so successful is making Dots completely free, meaning OpenAI is naturally limiting their ability to compete on that front. CFO Sarah Fryer said that the vision is to bring Dots to the whole consumer base, but for now, this is a prosumer product. OpenAI's big selling point is that they're using GPT-6 Astra to power the agents, so this is the first time we're seeing a truly frontier model pilot a first-party personal agent. Now, this was in many ways the least surprising of the announcements.

This personal agent form factor has been basically inevitable since the launch of OpenClaw, and even the interest in business-focused versions like Grokbot, OpenAI getting into this particular area was pretty much inevitable. Now, how ready for primetime dots is remains to be seen.