OpenAI put out a ton of new stuff this week including the public release of the GPT-5.6 family of models, the new ChatGPT Work app that will be merging Codex and ChatGPT capabilities, a new voice mode, improvements to the speech-to-text dictation, and more! I break it all down for you here, enjoy! Want to save time, get more leverage, and stop figuring this AI stuff out from scratch? I put the clearest map and support inside the AI Advantage Club

There's a season where you're doing everything right... You're showing up. You're putting in the work. You're staying consistent. And it still feels like nothing is changing. No momentum. No big breakthrough. No proof that it's working. This is the moment that separates people. Not because the work got harder... but because they mistake a lack of results for a lack of progress. What I've learned after decades in business is this: The invisible season is where everything important gets built. Your discipline. Your resilience. Your standards. Your identity. The results come later. Success rarely announces itself while it's being built. It compounds quietly... until one day everyone calls it an overnight success. If you're in that season right now, don't quit. The work you're doing today is building the life you'll eventually be grateful you didn't give up on.

AI has compressed the time required for most work that's documented and explainable: work where the process, the standards, and the reasoning can be captured and communicated clearly. What AI hasn't touched, and can't help with, is work that depends entirely on knowledge that exists only in someone's head and has never been written down anywhere. This creates an increasingly stark and underexamined divide inside most businesses. The documented, explainable work is getting dramatically faster. The undocumented, tacit knowledge is becoming, by comparison, a disproportionate bottleneck and a genuine point of fragility, because it's the one category of work that AI adoption does nothing to address until someone takes the separate step of actually capturing it. ------------- Context ------------- Every business accumulates tacit knowledge over time: the specific reasons a particular client relationship requires careful handling, the informal workaround for a recurring operational problem, the judgment calls a founder makes intuitively that have never been articulated as an explicit process, the history behind why something is done a certain way. This knowledge was always somewhat risky to keep undocumented, but for a long time, the risk was manageable because most work moved at a pace where the person holding the knowledge was usually available when it was needed. AI adoption changes the risk calculation significantly, for two connected reasons. First, as documented work gets dramatically faster, the undocumented work becomes a proportionally larger share of total bottleneck time, simply because everything around it has sped up while it hasn't moved at all. Second, and more subtly, businesses that are scaling their output using AI are often taking on more volume, more clients, more complexity, faster than before, which increases the number of situations where tacit knowledge would be needed and decreases the amount of time available to informally transfer it the way it might have been transferred in a slower-moving business.