How about making that screen awesome and having a two way HDMI/thunderport 5 usb-c so that i can display from my phone or my desktop computer or another laptop to my laptop/mobile secondary screen? With such low powered specs, future proofing it with a secondary function would ease my conscious. (eventually i will have my os on my phone. Android/ios and or linux will eventually be good enough for consumers and pro-consumers.) ps.Why have a HDMI when u have to pay license fees when u have thunderbolt or dont u have to pay for hdmi? Good opportunity to sell thunderbolt 5. ps.im asking.

This doesn't really deserve the "AI" / "AI+" in its product name:
AI requires these 2-3 things:
1. Memory size to fit a decently capable LLM model + its context.
32 GB RAM gives you a limited context of ~32000 tokens (= ~24000 words) for a quant of the new 35B MoE SOTA LLM Qwen3.6-35B-A3B-UD-Q4_K_M. And agentic workflows often require more than 100000 tokens, so it will not work.

Quote from: reddit.com/r/LocalLLaMA/comments/1sq94qx/is_anyone_getting_real_coding_work_done_with.. I've come to the conclusion that (1) 32768 is the biggest context I can get away with in an adequately smart model, and (2) it just ain't enough.

The only 32 GB RAM/unified memory is the biggest issue with this "AI+" laptop, had it at least 48 GB, then it would deserve the "AI+" in its product name.
Since there's no dedicated GPU, there's also no fast memory/VRAM, to partially or fully offload an AI LLM model to.
2. Memory speed, also known as memory bandwidth: Relevant for token generation (output) speed.
The practical/measured memory bandwidth is 97068 MB/s. Therefore, the memory is running at 7500 to 8000 MT/s:
96 GB/s = 128-bit * 8000 MT/s / 1000 / 8 * (0.7 to 0.8) (theoretical -> practical).
This is ok/expected for a (non-top of the line) 2026 128-bit(/dual-channel PC) system (the vast majority of all PCs/laptops are 128-bit systems). Some 2026, 128-bit, systems run at 9600 MT/s.
3. GPU 3D/FPS performance / compute: Relevant for prompt processing (input) speed. But GPU performance is determined by the memory bandwidth.
Here, the iGPU scores only 2391 Points in 2560x1440 Time Spy Graphics. For comparison:
3dmark.com/search - Time Spy:

• Strix Halo's Radeon 8060S iGPU (256-bit at 256 GB/s): "Average score: 10034"
• this/Intel Graphics (Panther Lake) (4-core) (~128 GB/s = 128-bit at 7500-8000 MT/s): "Average score: 3226"
• Intel Arc B390 (12-core) (153.6 GB/s = 128-bit at 9600 MT/s): "Average score: 7353"
• RTX 4070 desktop GPU (504 GB/s): "Average score: 16568" (correct, you'd me much better off building a desktop PC for AI and get a much better AI performance bang for the back)

(The number of CPU threads doesn't matter for running endconsumer AI (aka inferencing) and 1-4 threads top out the inferencing performance.)

Quote from: Janm on Today at 10:10:37Ich habe jetzt seit neun paar Monaten kein Update installiert aus Angst vor diesem Bug. Trat das Problem nach dem einen Update auf, oder tritt es auch jetzt noch mit dem aktuellsten Release auf?

habe ein Pixel 8 Pro,
bei mir war das Problem, dass das Pixel (ich glaube es war 3 mal) immer wieder neu startete, für 30-60 min oder so.
habe und hatte aber alle Updates und seit langem ist das nicht mehr passiert.