Bloomberg sources say Apple will skip the M6 Pro and M6 Max chips entirely, releasing only a base M6 before restarting the full lineup with M7. That means the long-awaited MacBook Ultra won't arrive until the M7 generation — and by then, starting prices could hit $6,500 or more.
Where this was said
At 24:27 · chapter starts 21:00
David raises the news that the long-anticipated MacBook Ultra laptop — a design with a new form factor and improved screen — may be delayed until Apple's M7 chip generation. Bloomberg-sourced reporting cited on 9to5Mac indicates Apple will release only a base M6 chip, skipping M6 Pro and Max entirely, before restarting the full Pro/Max/Ultra cycle with M7. [1] — Marques Brownlee "Bloomberg sources say Apple will skip the M6 Pro and M6 Max chips entirely, releasing only a base M6 before restarting the full lineup with…" 24:27 Marques notes grimly that he's been waiting for an Ultra chip update in the Mac lineup since M3 Ultra — M4 had no Ultra, M5 has no Ultra, and now M6 will have no Ultra, meaning M7 Ultra is the next hope. The group estimates a MacBook Ultra starting at $6,000–$6,500 base, easily cracking $10,000 with RAM upgrades. David's conspiracy theory arrives here: OpenAI and Anthropic may benefit from expensive RAM because it prevents consumers from running local open-source AI models cheaply on Mac hardware, forcing reliance on paid cloud AI services. [2] — David Imel "David Imel floated a conspiracy theory: OpenAI and Anthropic may have deliberately caused the RAM crisis to make running local, open-source…" 27:09
Apple reportedly plans to release only a base M6 chip, skipping Pro and Max variants, and will revive the full lineup with M7.
David Imel floated a conspiracy theory: OpenAI and Anthropic may have deliberately caused the RAM crisis to make running local, open-source AI models prohibitively expensive, forcing users to stay on cloud-based paid AI services. It's tongue-in-cheek, but the economic incentive is real.
Game apps keep users engaged long enough for ads to pay off. Tool apps don't — so if you're building a utility, ads are almost always the wrong call and subscriptions are your only real lever.
Inside SEO Bot, a single button labelled 'Boost My Domain Rating' routes users directly to Listing Bot. That one interaction converts a user of one tool into a user of two — without any marketing cost.
Directory listings are a powerful but underrated growth channel — but only if your product is genuinely interesting enough to earn the click. AI products have a natural advantage here because they're easy to package in a compelling, clickable way.
The fastest path to Twitter growth isn't volume — it's forming sharp opinions about how the platform works and sharing them immediately. People cluster around those who understand the rules and say so out loud.
Sam had no coding knowledge, so he used ChatGPT voice mode to generate his entire codebase and copy-pasted it into Notepad. A friend later introduced him to Cursor, and he never looked back.
Copy days of Discord chat history, paste it into ChatGPT, and ask it to list recurring pain points. The ones that come up most often are your best product bets.
Sam's top advice: when prompting Cursor, tell it to architect code for 100,000 users from day one. The AI changes its approach, building scalable frameworks instead of brittle one-user code.
With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
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