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.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
Eyal and Yali shut down all marketing and spent 4 months completely rebuilding PropGPT from scratch.
PropGPT has accumulated over 40,000 total downloads since launch.
PropGPT's large language model (AI) operating costs are just $20 per month, and the cost is continually falling.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
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