1.
Give Perfect Memory to Your AI Agent With the Newest AI Models
You know how sometimes you spend ages teaching an AI about your work, but when you come back, it feels like you’re starting from scratch? That’s been a real pain point as we start relying on these AI agents for bigger tasks. The latest models, like Claude Cowork and GPT-6 Astra, can handle massive amounts of information, but they still struggle with memory. They can process up to 1.05 million tokens, which is impressive, but that doesn’t mean they remember what’s important from past interactions.
Memory isn’t just about storing data; it’s about retaining what matters. The article dives into how we can improve this by focusing on giving our AI agents the right information in the right context, rather than overwhelming them with everything. It suggests creating a small, permanent memory for essential details, a project-specific memory, and even a knowledge vault that you can access easily. The key takeaway is that we need to be strategic about what we teach our AI, so it can actually remember and apply it effectively. It’s a shift in thinking that could really enhance how we work with these tools.
2.
9/29: OpenAI DevDay
Welcome back, monitors. OpenAI announced over 20 new products and features at DevDay 2026. The biggest releases were GPT-6.1 Sol, the 24/7 AI agent, Dots, and a new Ultrafast tier. New developer tools were also announced, like Codex in the cloud, multi-person collaboration with ChatGPT Spaces, and improved plugin extensions. Be sure to monitor with us live on X and YouTube, and follow us on Instagram and our brand-new TikTok. OpenAI announces Dots, its always-on personal agent that comes with its own cloud computer.
3.
No OpenAI IPO Until the AI Stops Going Rogue, CEO Sam Altman Says
OpenAI CEO Sam Altman abruptly extended a hiatus on any potential initial public offering on Tuesday, multiple media outlets reported, until it gets a handle on instances of OpenAI models acting inappropriately or launching attacks. Altman informed reporters of the decision during a Q&A after his keynote at the DevDay conference, according to The Verge. He had previously stated that an IPO won’t happen until at least 2027.
4.
Tech Workers Made ChatGPT Drive a Toyota Corolla
The people behind the stunt call themselves DrivingBench and they've posted their code, their prompts, and videos of the experiment online. In the experiment, DrivingBench hooked up GPT-6 Astra, Claude Fable 5.1, Grok 4.6, and GPT-5.6 Sol to a Toyota Corolla and gave the LLMs control over the car's steering, accelerator, and brakes. Then they set up a small cone course in a public parking lot and prompted the chatbots to navigate the space. The goal, they said, was to find out if untrained, off-the-shelf frontier AIs can drive a real car. The results were mixed.
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Trump administration gets Big Tech to sign weak, non-binding, AI regulations
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Trump Clearly Expects AI Leaders to Go Along With His ‘Super Intelligence’ Rebrand. Will They?
The President wants certain things to happen, and the entire world sometimes watches as those things fail to happen on the grandest scale possible. He wants the U.S. to annex Greenland. He wants the Strait of Hormuz to open. Now he quite clearly wants everyone to call artificial intelligence “Super Intelligence,” which, in keeping with his writing style from the golden age of his Twitter account, should be written in title case. With an executive order signed on Tuesday, Trump has made it official policy across the executive branch of the U.S.
7.
OpenAI connects the Dots
This is a column about AI. My fiancé works at Anthropic. See my full ethics disclosure here. In November 2023, a year after the release of ChatGPT, Bill Gates wrote that "AI is about to completely change how you use computers." Writing on his blog, Gates predicted that the age of apps was coming to an end. "You won’t have to use different apps for different tasks," Gates wrote. "You’ll simply tell your device, in everyday language, what you want to do.
8.
Meta’s next big AI bet is enterprise; its biggest hurdle may be trust
Meta is shifting gears to target the enterprise market with its new Meta Enterprise Platform, aiming to provide AI tools for businesses rather than just for social media. While CEO Mark Zuckerberg touts this as a significant step, skepticism lingers due to past failures like Workplace and Horizon Workrooms, which were abandoned despite initial user interest. Trust is a major hurdle; analysts point out that Meta's history with data privacy issues, including the Cambridge Analytica scandal, raises concerns for enterprises wary of relying on the company.
The platform will feature a suite of products like Muse Agent and Meta Business Agent, designed to automate customer interactions and support various business functions. However, competitors like Microsoft and Google also have strong offerings, making it crucial for Meta to prove its commitment to the enterprise space. Analysts suggest that potential enterprise users should start small, focusing on specific applications to gauge the platform's effectiveness without risking too much. Ultimately, Meta's ability to build trust and demonstrate long-term support will be key to its success in this new venture.
9.
Meta’s next big AI bet is enterprise; its biggest hurdle may be trust
Meta is shifting its focus to the enterprise market with the launch of the Meta Enterprise Platform, which aims to provide AI tools for businesses rather than just for advertising. CEO Mark Zuckerberg emphasizes that this platform will include a suite of products like Muse agent and Meta Business Agent, designed to streamline operations. However, trust is a significant hurdle; previous attempts like Workplace and Horizon Workrooms have faltered, raising doubts about Meta's commitment to long-term support.
Despite having advanced technology, Meta faces stiff competition from established players like Microsoft and Google. Analysts point out that while Meta has unique access to customer channels through platforms like WhatsApp and Instagram, its history of data privacy issues casts a long shadow. Critics argue that enterprises might hesitate to adopt tools from a company known for data harvesting, especially given past failures to deliver on enterprise promises.
For businesses considering this new offering, experts suggest starting small and focusing on specific applications to gauge effectiveness without overcommitting. Ultimately, the success of the Meta Enterprise Platform will hinge on its ability to build trust and demonstrate reliability in a landscape dominated by more seasoned competitors.
10.
Meta’s next big AI bet is enterprise; its biggest hurdle may be trust
Hey! You will not believe what Meta is up to now. They're making a big play for the enterprise market with something called the Meta Enterprise Platform. It's basically taking their AI stuff, like their Muse agent and business agents, and packaging it up for companies to use in their operations, not just for ads. Mark Zuckerberg is calling it their "next major pillar," which sounds pretty significant. They've even brought in a new chief enterprise platform officer from MongoDB to lead it.
The interesting part, though, is whether this will actually stick. Remember Workplace, their internal communication tool? They shut that down after a decade, and Horizon Workrooms, their VR collaboration space, also got retired. So, the big question for businesses is, "Will Meta actually commit to this long-term, or will they pull the plug if their focus shifts again?" That trust factor is a huge hurdle, especially given their history with data privacy too.
On the tech side, they've been building out their AI capabilities, with models like Muse Spark that can handle complex tasks and sub-agents. Then they launched Meta Business Agent for customer service and sales automation, and Muse Agent for background tasks. Muse Code is for software development, and Muse API gives access to their whole AI stack. They're hoping to leverage their massive network of businesses and users on platforms like WhatsApp and Instagram to connect everything from advertising to customer service.
But here's the thing: while their AI tech is getting pretty advanced, a lot of other big players like Microsoft and Google have similar capabilities. Meta's real edge, according to some analysts, is owning those direct customer interaction channels. They can potentially link all those touchpoints through AI agents in a way few others can.
Still, it’s a tough sell. They’ve never really been known as an enterprise player, and their track record with data stewardship, you know, Cambridge Analytica and all that, doesn't exactly inspire confidence for businesses handling sensitive information. Plus, some of the early issues with Muse, like privacy concerns and vulnerabilities, are definitely red flags for potential enterprise buyers. It's a big bet, and we'll have to see if they can overcome those trust issues and prove they're in it for the long haul.