Florida Sloth

Lifetime Geek, Pilot, & Lifehacker.
25 years in Telecom Engineering.
Tesla Bull & Optimus Optimist.
Voted for the lesser of the two weevils all my life.

[Mike Lee @BasedMikeLee]

Live footage of U.S. senators trying to explain why we don’t need to pass the SAVE America Act.

[Florida Sloth @FLSloth]

@Bigkev451

[Florida Sloth @FLSloth]

@Bigkev451

[Florida Sloth @FLSloth]

@Bigkev451

[Florida Sloth @FLSloth]

@Bigkev451

[Florida Sloth @FLSloth]

@Bigkev451 Audio is messed up. Diff delays on diff devices. Significant.

[Florida Sloth @FLSloth]

@joeroganhq If so, please explain his support of Byron Donalds for Gov. of Florida. Total fail in "understanding people at an instinctual level."

[Florida Sloth @FLSloth]

@mad_liberals I have. It's mad fun. You don't even need a license in the USA. (Note that does NOT mean you don't need training)

Check out Tucker's stuff to learn more.

https://t.co/PDLgDTx8f8

[Florida Sloth @FLSloth]

@TeslaBoomerMama @stonk_daddy @elonmusk To clarify I'm not talking infomercials for TV. Social media will work

[Florida Sloth @FLSloth]

@stonk_daddy is spot on.

That said, Tesla needs infomercials. The level of knowledge for regular people about Tesla is very low, and often inaccurate.

@elonmusk could hold a contest and get them made for free (or near free.) The Tesla Community would gladly make them. All Elon would need to do is hold a contest with some goodies.

[Florida Sloth @FLSloth]

To me it says they got more compute online than they need because of better planning. Meanwhile others are struggling to get more capacity online and are willing to rent.

Amazon created a whole successful sub business with AWS doing effectively the same thing for non-AI capacity.

I don't think this reflects negatively on Grok at all.

[Florida Sloth @FLSloth]

@SchwabNetwork @KGBULLANDBEAR

[Florida Sloth @FLSloth]

@4HeatherHill I'm in FL so it wouldn't have ended well for him...

[Spaceballs The X Account @Grunt2A]

Now that Artemis II has launched we have 10 days to get everyone on Earth a Planet of the Apes costume so we can do something hilarious when the astronauts return 😁

[Florida Sloth @FLSloth]

Kid's all Floridian!

[Libs of TikTok @libsoftiktok]

Kid just SMOKED a CNN reporter outside of Artemis II launch:

CNN: "Why do you want to be here?... Why do you love being a part of history?

Kid: "We're going back to the f*cking moon, that's why!" 🤣

[Florida Sloth @FLSloth]

@BrianRoemmele Robots will be taking over pizza jobs with such precision that even stray hairs will be in your pizza?

[Florida Sloth @FLSloth]

@wallstengine So... Gas prices under "Biden's" presidency $5.02–$5.16 peak = no 8% surcharge. Gas prices under Trump now $4.10 this week = 8% surcharge... Uh huh.

[Florida Sloth @FLSloth]

@TheJokerTradess This is likely what hit the ship in the strait, @trentkelp https://t.co/5pqBYvdfzb

[Capitán Bitcoin @CapitanBitcoin]

🚨 Irán ha plagado el Estrecho de Ormuz con vehículos no tripulados autónomos operados por IA. Ataca buques y submarinos. Se recargan con el sol. Alcanzan 18 a 25 nudos. Baratas. Cubren más de 600 km a baja velocidad.

[Florida Sloth @FLSloth]

Apologies if someone already posted this, but this is potentially really big.

The tech impact is big, the impact on Apple's sales is possibly bigger. - People can rent out their mac to be part of a distributed AI server. Possibly hundreds $ a month in pay.

Apple said this couldn't be done on the M4 (that their silicon could do inference-only) but it not only works but does so very efficiently.

The project team is working on making other Apple chips work now. - They plan to pay recipients for their computer time. Your idle Mac (even a mini) becomes a stealth AI node sipping 2-3W which is way lower than a data center.

- Important to note, this means that Apple can do this too if they wanted (perhaps that is their plan). If you are planning to play with it, you may want to turn off Apple auto-updates right away, Apple may try to patch this breakthrough away.

$AAPL
https://t.co/l727k1sTuX

[Brian Roemmele @BrianRoemmele]

BOOM!

Apple’s Neural Engine Was Just Cracked Open, The Future of AI Training Just Change And Zero-Human Company Is Already Testing It!

In a jaw-dropping open-source breakthrough, a lone developer has done what Apple said was impossible: full neural network training– including backpropagation – directly on the Apple Neural Engine (ANE). No CoreML, no Metal, no GPU. Pure, blazing ANE silicon.

The project (https://t.co/jrk67hf9p1) delivers a single transformer layer (dim=768, seq=512) in just 9.3 ms per step at 1.78 TFLOPS sustained with only 11.2% ANE utilization on an M4 chip. That’s the same idle chip sitting in millions of Mac minis, MacBooks, and iMacs right now.

Translation? Your desktop just became a hyper-efficient AI supercomputer.

The numbers are insane: M4 ANE hits roughly 6.6 TFLOPS per watt – 80 times more efficient than an NVIDIA A100. Real-world throughput crushes Apple’s own “38 TOPS” marketing claims. And because it sips power like a phone, you can train 24/7 without melting your electricity bill or the planet.

At The Zero-Human Company, we’re not waiting. We are testing this right now on real ZHC workloads. This is the missing piece we’ve been chasing for our Zero Human Company vision: reviving archived data into fully autonomous AI systems with zero human overhead.

This is world-changing.

For the first time, anyone with a Mac can fine-tune, train, or iterate massive models locally, privately, and at a fraction of the cost of cloud GPUs.

No more renting $40,000 A100 clusters. No more waiting in queues. No more massive carbon footprints.

Training costs that used to run into the tens or hundreds of thousands of dollars? Plummeting toward pennies on the dollar – mostly just the electricity your Mac was already using while it sat idle.

The AI revolution just moved from billion-dollar data centers to your desk.

WE WILL HAVE A NEW ZERO-HUMAN COMPANY @ HOME wage for equipped Macs that will be up to 100x more income for the owner!

We’re only at the beginning (single-layer today, full models tomorrow), but the door is wide open. Ultra-cheap, on-device training is here.

The future isn’t coming. It’s already running on your Mac.

Welcome to the Zero-Human Company era.

[Dustin @r0ck3t23]

Elon Musk just said the AI community is misunderstanding the math of superintelligence by two orders of magnitude.

Not slightly off. Not directionally wrong.

A hundred times off.

Musk: “Most people in the AI community don’t yet understand. The intelligence density potential is vastly greater than what we’re currently experiencing.”

Everyone is focused on the hardware race. Bigger data centers. More GPUs. Nuclear power plants built to feed the compute.

That’s half the equation.

Musk: “I think we’re off by two orders of magnitude in terms of intelligence density per gigabyte. That’s just algorithmic improvement. Same computer.”

Read that carefully. Not more hardware. Not more energy. Not more capital.

The same machine. A hundred times smarter. Through software alone.

That’s before the hardware improvements compound on top of it.

Musk: “And the computers are getting better. That’s why I think it is a 10x improvement per year type thing. 1,000 percent.”

A thousand percent compounding annual growth rate in raw intelligence.

A system that becomes 10x more capable every twelve months doesn’t follow a linear curve. It doesn’t follow an exponential curve that human intuition can track.

It follows a curve that human intuition cannot simulate at all.

In year one it’s 10x smarter. In year two it’s 100x. In year three it’s 1,000x.

At that point, the gap between that system and a human brain is wider than the gap between a human brain and a calculator.

This is the math the public isn’t running.

The models aren’t just getting better. They are compounding on themselves at a rate that makes every previous technology curve look flat.

Musk: “The intelligence density potential is vastly greater than what we’re currently experiencing.”

We aren’t approaching superintelligence on the timeline most people imagine.

We are already inside the curve.