Apple reportedly plans to release only a base M6 chip, skipping Pro and Max variants, and will revive the full lineup with M7.
Snapshot · Waveform: The MKBHD Podcast
Apple reportedly plans to release only a base M6 chip, skipping Pro and Max variants, and will revive the full lineup with M7.
Where this was said
At 25:22 · 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
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.
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.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
Tool-focused apps like PuffCount are poor candidates for ad monetization because users don't stay in-session long enough.
A hard paywall is a screen that blocks all app features unless the user pays or starts a free trial — it cannot be dismissed.
Mobile apps are primarily monetized through either ads (best for games) or in-app purchases/subscriptions (best for tools).
According to the episode, YouTube outperforms every other social platform for building trust and driving SaaS conversions.
Vasco stated that the majority of his app's user base came directly from his YouTube channel.
SEO Bot features a 'Boost My Domain Rating' button that routes users directly to Listing Bot, an example of in-product cross-selling.
The founder's entire product portfolio is AI-related, making it easier to package products attractively for directories.
The founder attached their SaaS demo to the trending debate about whether AI coding is actually good enough to build a full SaaS product.
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