b³ the white

I come back to you now at the turn of the tide.
-
Executive leader in critical thinking.
Consultations available.

[b³ the white @B3thewhite]

It is really tough sometimes being an intellectual, when this world is constantly filled with low-brow noise! Come on! Let's use AI combined with weather modification to make sure nobody is starving! Let's have AI driven medical/surgical beds to save people from death and

[b³ the white @B3thewhite]

@OgAn0n661 Where do I get the abbreviations, I saw them recently, but forget where. Thank yiu.

[b³ the white @B3thewhite]

@ElectEvanHunt @TheArmedSquid @MixterJames @fakeftedd @AngryRenUSMC @HelmerVA Shall not be infringed. Period. Not for felonies, not for red flag laws, not for your feelings. Everyone has the right to a weapon.

[b³ the white @B3thewhite]

This account brings real humanity back into the conversation. Thank you so much Christopher. Truly.

[Christopher Ward @modelstrangers]

This man is 76 and alone.

There is nothing you can do in life to prepare for tragedy and grief.

Please listen to his story.

👇🏼

[b³ the white @B3thewhite]

@ClarksonsFarm1 All the important information we are given is wrong. No wonder we have climate crazies!

[b³ the white @B3thewhite]

@OgAn0n661 The end won't be for everyone. I concur with you first feeling.

[b³ the white @B3thewhite]

@HistorianUSA1 I would like to hire that guy.

[b³ the white @B3thewhite]

@japan_nobunaga Pictures of the duck!

[Brian Roemmele @BrianRoemmele]

WOW! The $8 AI Machine!

Something extraordinary just happened and it changes what “local AI” can mean.

I am testing it tonight. Thus far it shows many possibilities…

So what it this $8 AI device?

A developer going by slvDev has forced a 28.9-million-parameter language model onto an ESP32-S3 microcontroller that costs roughly eight dollars.

Not a Raspberry Pi.

Not a Jetson.

An eight-dollar microcontroller.

The model runs completely offline, generates coherent short stories at about 9.5 tokens per second, and draws power measured in the same range as a small LED.

This is more than a hundred times larger than the previous record for the same class of chip (the earlier 260,000-parameter TinyStories experiments).

For perspective, the original ChatGPT sat at 117 million parameters. We are now running a model roughly a quarter of that size on silicon you can buy for the price of two coffees.

How the Impossible Became Possible

The ESP32-S3 has only 512 KB of fast SRAM, 8 MB of PSRAM, and 16 MB of flash. Conventional wisdom said a model of this size simply would not fit.

The breakthrough is architectural, not brute force.

Most of a language model’s parameters live in a giant embedding table a lookup table you mostly read from, not compute against.

Drawing directly from Google’s Per-Layer Embeddings technique (the same family of ideas used in the Gemma models), the developer moved the bulk of that table roughly 25 million parameters into flash memory and memory-mapped it.

The chip only needs to pull about six rows, roughly 450 bytes, for each new token. The remaining dense “thinking” core stays in the fast SRAM (around 560 K of active working memory). The model is stored at 4-bit quantization and occupies about 14.9 MB total.

The result is a system that feels almost free to run. The heavy parameters sit quietly in flash and are sampled sparingly. The little core does the real work. It is elegant engineering of the purest kind.

What I Am Doing With It Right Now

I have the boards on the bench in the garage lab. The first units are already talking short, coherent stories appearing on a tiny wired display, generated entirely on the chip with no Wi-Fi, no API key, no cloud round-trip. Latency is local. Privacy is absolute. Power draw is low enough that battery operation becomes interesting.

I am treating these as the first generation of true $8 AI machines. Early tests are focused on three practical directions.

- Embedding the model into simple nodes.

- Pairing it with local voice front-ends

- Exploring whether multiple of these chips can be networked as a lightweight swarm.

The model is deliberately limited. It was trained on the Microsoft TinyStories dataset and is excellent at coherent narrative, not at open-ended question answering or tool use.

That is a feature, not a bug. It forces us to design systems around what the silicon can actually deliver instead of pretending every edge device needs a frontier model.

Real Use Cases That Suddenly Become Practical

Once you accept that a capable language model can live for eight dollars and run without the cloud, a new class of devices becomes possible:

This is the opposite of the current trajectory that wants every intelligent act to travel through a remote server. It is the beginning of intelligence that is cheap enough, private enough, and local enough to become infrastructure rather than a service.

We have spent years watching model sizes explode upward. The more interesting frontier may be the opposite direction: how small, how cheap, and how local can useful intelligence become? An eight-dollar chip that can tell coherent stories is not a toy. It is a proof that the lower bound keeps moving.

The open repository is at https://t.co/a7gcHTR4ug

I will keep testing, measuring, and reporting what these little machines can and cannot do. The age of abundant local intelligence just got a little more real, and it arrived wearing an eight-dollar price tag.

[Capt Kyle @CaptKylePatriot]

🔥 This is the video i mentioned on our call...

Fascinating how he "grew" structures with frequencies! 🔥

[Jean-Luc Infini @InfiniLuc]

"Only he who bestirs himself can advance spiritually. The fool who uses extraneous aids for this, in the form of the ready-made opinions of others, only walks his path as if on crutches, while ignoring his own healthy limbs."

Oskar Ernst Bernhardt (Abd-ru-shin)

[b³ the white @B3thewhite]

What is Tesla doing with the book of Enoch?

[Skywatch Signal @UAPWatchers]

🚨TESLA REPLACED A CUSTOMER SOLAR CONTRACT WITH THE BOOK OF ENOCH

This sounds completely made up, but Electrek says it verified the case.

A Tesla solar customer logged into their account to check the terms of a decade long lease and discovered that the legally binding contract had been replaced by the full text of the Book of Enoch.

An ancient apocalyptic text about the Watchers, fallen angels and the Nephilim was found sitting exactly where the customer's payment agreement should have been.

Tesla support reportedly acknowledged the document swap, apologized and emailed the correct lease, but offered no explanation for how it happened.

It could have been a backend filing error, a test document accidentally pushed into a live account, or somebody's idea of a joke. The suggestion that an automated AI system retrieved the wrong file is possible, but there is currently no evidence proving that was the cause.

Tesla promised solar power, one customer got the fallen angels. What do you think?

Source:
https://t.co/pmxcT3wwij

#Tesla #BookOfEnoch #Nephilim #AI #TechNews

[Jackjonestv @jackjonestv]

Bill Nighy is what you call a true gentleman ❤️

[b³ the white @B3thewhite]

@GroovyBruce Wow! Our loss!

[b³ the white @B3thewhite]

@SweetSami828 Stop! You look great!

[b³ the white @B3thewhite]

@ClarksonsFarm1 Profit.

[TheDebriefing17 @TheDebriefing17]

🤔👇👇👇@JeskoRiot

[b³ the white @B3thewhite]

@TheRubberDuck79 Sounds like something a hacker would say...

[Maricopa County Libertarian Party @LPMaricopa]

GM - Continually surveilling Flock employees is the move, all of these people have names & addresses.

Remember these Mass Surveillance went up in violation of the 4th Amendment without a vote or consent.

[b³ the white @B3thewhite]

@lovina_zook Lol I cried from laughing.

[b³ the white @B3thewhite]

@ClarksonsFarm1 What a team!