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The M1 Max from 2021 has better memory bandwidth. The M3 Max can be specced to 128GB.

Nothing new here, apart from being able to use CUDA on a less power hungry system.


The M1 Max has an unusably slow GPU for inference. TTFT on real-world contexts can be over 10 minutes.

> Nothing new here, apart from being able to use CUDA on a less power hungry system.

CUDA has been running on ARM SOCs since the Tegra K1, 12 years ago. Nvidia is not new to ARM, nor is CUDA.


Flagged. Article is as AI heavy as the commits that people are complaining about.

What might be the impact on battery life?


If it lasts longer than 4 hours, contact the apple genius bar.


Hard to read article. The writing is curiously more robotic and repetitive than those written by AI.


It's strange - like someone went for brevity, but without the usual exercise of packing meaning into each sentence. There's a lot of fluff in the shape of serious writing, lol.


i like how even if i can parse most of it it does sound like technically accurate technobabble, could be of inspiration for a tv show :D


The article is about Canada.


Keep an Intel Mac around?


Arguably if you're shipping new fat binary code today, you should already have an Intel Mac around to test, because there might be subtle differences between Intel-on-Rosetta2 and Intel-on-Intel.


It works until that machine dies and you need to scramble for a solution (again).


Popups were dealt in a way that could be useful here, they're only permitted when the user directly generates the interaction that creates the popup (not scripted). The back button could use the same algorithm back in history, only go back to screens that the user directly navigated.


Absolutely! I have both the AirPods Max and the Bose QC Ultra and even though my whole ecosystem is Apple, the QC Ultra is a lot more comfortable reliable on day to day usage. Comfort is due to weight, and reliability is the batter is predictably on the QC Ultra, but on the Max I never know if the battery went all down because I can't turn it off.


Thanks to the kind soul who upvoted this horrendously typed reply. Unfortunately I can't edit it anymore.


So Microsoft is actually using 2 bits instead of 1.58. In this case they could represent -1, 0, 1, 2. As inhibitory synapses account for 20%-30%, this could map well to how biological brains are structured.

Does that make sense?


Can you explain your third statement?

> As inhibitory synapses account for 20%-30%, this could map well to how biological brains are structured.


In the human brain most synapses are indeed excitatory, while a minority is inhibitory.

No concise HN comment will give you a complete picture of whats currently known about the human brain, so a platitude necessarily follows:

We call the nearly touching interfaces between neurons synapses, small packets / droplets of neurotransmitter are sent across this interface from the source to the target neuron. Such signals can be excitatory (promote the probability of excitation of the target firing soon) or inhibitory (inhibits the probability of the target firing soon). There are 2 types of sensitive areas on your average neuron: the dendrites (long branching tentacles, that receive excitatory signals) and the cell body where all the signals are accumulated to a local instantaneous "sum" is also sensitive to synaptic activation, but the synapses on the cell body are inhibitory, when sufficiently inhibited the neuron will refuse to fire its axons, so the inhibitory synapses on the cell body can gate the cumulative signal and prevent it from triggering this neuron temporarily. If the neuron does fire, this propagates along the axons (another type of branching tentacles, which lead to yet other neurons, sometimes touching them excitatorily at their dendrite, sometimes touching a neuron inhibitorily at their cell body.

I hope that helped?


It is really truly incredible that this mess of microscopic meat plumbing encodes everything we see, think, and do. Terrifying and amazing all at once.


I did not realize all the dendritic synapses were excitatory, I always thought it depended on the specific neurotransmitters released. Thanks, this is cool. I am curious what will happen when we build LLMs that have the equivalent of chemical diffusions between synaptic release areas as well as the temporality of spiking neural nets.


"In 2015, Dye became the head of Apple's user interface design team"

https://en.wikipedia.org/wiki/Alan_Dye


"Dye also contributed greatly to the design language of iOS 7 in 2013. In 2015, Dye became the head of Apple's user interface design team. In 2022, he played an integral role in the creation of the Dynamic Island, a feature on iPhones and then in 2025, he led the design of Liquid Glass."

Left for Meta in Dec 2025. Hopefully things normalize a bit? Wishful thinking, I suppose.


I imagine it will take a while to turn a ship this big, even if they are willing (yet to be seen).


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