One Month With the MacBook Neo and Feeling the Limits
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| Source: Mastodon | Original article
Apple’s newest laptop, the MacBook Neo, has spent its first month in the hands of a senior engineer who swapped his M3‑powered MacBook Air for the 13‑inch, A18 Pro‑based model. The reviewer’s verdict, published on CNET, praises the Neo’s sleek chassis, vibrant Liquid Retina display and the promise of “Apple Intelligence” built into the chip, but flags a single, glaring shortfall: the base‑line 8 GB of unified memory quickly becomes a bottleneck for everyday AI‑heavy workflows.
During the trial the author ran a mix of web‑centric tasks, local LLM inference via Claude Opus 4.7, and a typical Safari browsing session peppered with multiple tabs. Memory pressure spiked as soon as a single Claude‑driven code‑completion window opened, forcing the system to swap and causing noticeable lag. Even routine multitasking—email, document editing and a background GitKraken‑Claude integration—exceeded the Neo’s RAM envelope, contradicting Apple’s marketing that the device is “built for AI”.
The limits matter because Apple is positioning the Neo as the entry point for businesses eager to equip teams with AI‑ready hardware at under £100 a month. If the baseline configuration cannot sustain the workloads it is sold for, enterprises may be forced to upgrade to the yet‑unannounced 16 GB variant or stick with higher‑priced MacBook Air and Pro models. The issue also dovetails with the ongoing supply crunch: Apple’s limited stock of the Neo, already strained by demand, could see slower turnover if the memory ceiling proves a deal‑breaker.
What to watch next is whether Apple will roll out a higher‑memory Neo in the coming quarter, or release software patches that better manage unified memory for LLM tasks. Analysts will also monitor how the Neo’s pricing and leasing schemes evolve in response to feedback from early adopters, and whether the device can regain momentum amid the broader AI‑hardware race.
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