The ARM chip race is getting wild… Apple M4 unveiled

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Apple just released their latest M4 chip. Let's take a look at it's performance specs and AI neural engine features. Compare M4 to Snapdragon and find out why big tech companies are competing to build the best ARM chips.

#computerscience #ai #thecodereport

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🔖 Topics Covered

- Fasted PC chips
- ARM vs x86
- RISC vs CISC
- What is the best chip architecture for AI
- Running AI models on device
- What is the M4 chip?
- Is x86 dead?
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3:02 why tf this guy is holding his phone upside down

yoorbuilds
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people during cold war: The arms race will be wild

the ARMs race now

ayushmanbt
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M4 on iPadOS is like installing thruster engines on a horse with no legs

emmaramirez
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Where does this dude get his stock footage? 😂

rahulgurung
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Idk what to say but I had tacos for dinner and it was a banger. Destroyed my toilet in the process but it was worth it in at the end of the day.

alleniitjee
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It can run a LLM on the laptop but you still can't replace the battery.

critical_always
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Arm out there playing 4D chess selling shovel blueprints

fuzzy-
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singularity blaster turbo pro max, i knew it all along

renkor
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I legit thought they made apple version of the M4 rifle

petis
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Why is he starting to sound more like an person and not an AI

Alt
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The Grindr reference and Apple car were wild. 10/10

randyrcastillo
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Impressive breakdown of the technology war between major players in the ARM chip market. I find it particularly fascinating that despite the CPU advancements, x86 still holds strong in infrastructure due to its age and versatility.

RILDIGITAL
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Why is the dude at 3:03 using his phone upside down?

DarkVortex
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Can't wait to buy myself the new Macbook Singularity Blaster Turbo Pro Max (with extra storage of course)

lofiboy
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2:58

I didn't know I needed this piece of stock footage in my life. Thank you

alekszewczyk
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This is just moving from one proprietary architecture to another. WHERE MY RISC-V SQUAD AT?

geeshta
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1:13 that's actually a myth. While it was true that several years ago x86 was CISC and ARM was RISC and that was one of the reason for the latter being more energy efficient, nowadays the latest and most advanced iterations of x86 and ARM have blurred the line between the CISC and RISC. The x86 processor now is using a decoder to interpret its complex CISC intructions to a RISC form internally and ARM has introduced a lot of CISC-like extensions over the years. The actual reason x86 is more inefficient[citation needed] is due to the fact it needs to a lot of 30+ year old legacy code, though Intel have recently proposed a specification called x86-S which aims to remove a lot of legacy cruft from their processors while still maintaining reasonable backwards compatibility.

Giorgal
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The M4 seems to be the fastest CPU chip on the market for running AI. You'd still want a dedicated GPU if you can get one. While the M4 gets near 40 TOPS, the 4090 gets around 83 TFLOPS (trillions of floating point operations per second) at around 32 bit precision. I think the M4 is rumored to be at 8-bit precision for their current TOPS quote. No confirmation on the 8-bit rumor though, so it's good to be skeptical of that.

InnsmouthAdmiral
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Arm was introduced by Acorn computers, eventually renamed Acorn Risc Machines, as a processor for their desktop computers.

They found out they were extremely power efficient in their original design. They also happened to outperform products based on the 68000 series at the same clock speeds. And I mean ran circles around them. Prior to risc architectures CPUs measured performance in clocks per instruction not instructions per clock. This was the whole motivation for risc. Risc architectures introduced the first CPUs that executed 1 instruction per clock. This was a massive improvement over heritage CISC CPUs.

pweddy
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why get a measly 38 trillion when you can get 45 TRILLION

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