dontreadonmeow

Adamant anti-faxer! I will NOT use fax machines. Also a flat-birther (birth should be horizontal)

[dontreadonmeow @dontreadonmeow]

@_whitneywebb Exactly what I thought when I saw this post https://t.co/x0YPjS5PIu

[Elon Musk @elonmusk]

Which one would do a better job of deciding interest rates?

[Mike Levin @MikeLevin]

Follow the money on this one. It is rotten to the core.

The Pentagon just lent $620,000,000 to a tiny North Carolina startup called Vulcan Elements. The company is two years old.

It had fewer than 50 employees.

And three months before the deal was announced, Donald Trump Jr.’s venture firm quietly took a stake in it.

Here is the part the administration tried to bury.

Of the dozens of companies the Pentagon was weighing, Vulcan was the only deal initiated by a top White House aide. That aide was Peter Navarro, a close friend of Trump Jr. The order came down to move fast.

One official put it plainly: The call came from the White House. We have to get this done.

Staff worked late nights to push it through in weeks. Deals like this normally take many months of vetting. And when it closed, Vulcan’s valuation jumped from about 200 million dollars to roughly 2 billion.

A windfall for the investors, including the president’s son.

This is public money. Your money.

Routed through the Pentagon to enrich the president’s family and their friends. The Bush administration’s own chief ethics lawyer called it corruption we pay for.

And there is more coming.

A drone parts company Trump Jr. holds a stake in is also under Pentagon review.

This is not a one-off. It is a pattern. The president’s family is treating the federal Treasury like a private bank, and the bill lands on every taxpayer.

https://t.co/4kB1cZNmlE

[Auron MacIntyre @AuronMacintyre]

Over the entire history of video games, systems went down in price as they get older

The Steam Deck is 4 years old and getting an eye watering $300 price increase

You might say "who cares it's a child's toy" and fair enough but it's a signal of a wider trend

The price is skyrocketing because AI demand is driving up the price on all physical computing hardware from video processors to RAM

AI companies are basically competing with consumers for hardware, making it prohibitively expensive

Right now you're seeing it mostly in video games but home PCs and laptops are also feeling this and it will only intensify

Even if you think all the AI machine god job apocalypse stuff is overblown this part is very real

AI companies are making personal compute so expensive that you can't own it, just like private equity hoping to buy a bunch of homes and make people permanent renters

If won't be too long before you have to rent your compute from data centers instead of just owning processing power

It starts with expensive game consoles, it ends with the centralized ownership of compute in the hands of a few select oligarchs

[Autism Capital 🧩 @AutismCapital]

So you make your entire wealth off of the United States, loot it for everything it’s worth, then peace out the moment it’s not going in the direction you failed to manipulate it into going? Absurd and sad. The US is your home. You must stay on the Titanic. This is a middle finger

[theleahfiles @leahfiles]

Dept of Treasury telling us they are releasing a $250 bill with Trump’s face on it as our country enters stagflation pretty much summarizes how out of touch this administration is with reality

[ThePatrioticBlonde™🇺🇸 @ImBreckWorsham]

So, the FBI & DHS is engaging in the surveillance of online accounts who protest data center construction & AI development.

Keep telling yourself you’re free

[dontreadonmeow @dontreadonmeow]

@TPV_John I agree with the sentiment but I guarantee she just wants a % of profits for government to fund UBI

[davey @jerseyh0mo]

We cannot share the earth with people as evil as this. It’s all of us or them.

[dontreadonmeow @dontreadonmeow]

@nicksortor Let me get this right…the fraud DOGE found wasn’t able to be congressionally rooted out…but somehow welfare is the real target…hmmm not sure I buy this.

[Wholesome Side of 𝕏 @itsme_urstruly]

I can't properly describe to anyone under the age of 30 just how cool the Internet was before Amazon, Google, Meta, and Apple turned it all into a walled garden of garbage and commerce.

[Taher Dhanerawala @taherdhanera]

F*ck AI from a filmmaker who built entire worlds using CGI, motion capture, digital compositing, virtual cameras, and enough render farms to heat a small country is peak cinema irony.,

He said it like AI personally stole his Oscar.

Cinema people really love technology… right until the next generation gets access to it too.

When rich studios use machines:
innovation.
future of storytelling.
cinematic evolution.

When independent creators use AI:
destroying art.
soulless.
dangerous.

Now AI scares people who built careers being impossible to compete with.

[Power to the People ☭🕊 @ProudSocialist]

One of the biggest crooks on earth, BlackRock CEO Larry Fink, is calling for trillions in investment in data centers and AI power grids.

He says the money should come from “Americans' savings, pensions, and insurance funds”, all to compete with China, even though the US already has 12 times as many data centers as China.

The billionaires now want to steal from Americans’ to bring about their AI mass surveillance dystopia.

[Archaic Lens @ArchaicLens]

Buckle up folks this is a big one. I’m going to show you ancient artifacts from Easter Island that I guarantee you’ve never seen before, some of which which bear STRIKING resemblance to animal sculptures found at Gobekli Tepe.

The backstory: When Thor Heyerdahl was excavating on Easter Island in 1955-1956 he was shown old family caves, passed down through generations, which contained countless original and ancient statues and sculptures. He was apparently gifted over a thousand of these statues by the Rapa Nui which he then brought back to Norway. They’ve been in the possession of the Kon Tiki museum in Oslo ever since, but none of them have ever been show to the public until 2014 for some reason I cannot fathom.

I spent the day viewing the collection, and some of the sculptures were shockingly similar to Gobekli Tepe!! All the images below are originals from Easter Island. Tomorrow I’ll post a follow up thread comparing to Gobekli Tepe.
🧵

And of course if you like my work and want to support me consider purchasing a copy of my book on Amazon: https://t.co/H3tEMNDLFp

[nobody from nowhere @ctizzie]

Not all of us can cook the books at a software company during the 90s dot-com bubble, sell it for $4b based on fraud, wipeout $2b in shareholder value in one day while selling our own stock at peak, get fired within six months and see our company resold for just $27M a year later

[Cynthia @yescynfria]

doodle-y logos in tokyo

[dontreadonmeow @dontreadonmeow]

@The_Astral_ There are many such examples of paintings with UFOs in them in the Vienna Historical Art Museum.

[parm🔬 @parmita]

i just learned that a houseplant solves voronoi diagrams using local cell signals

we’re using GPUs to do it.

it has no coordinates. it has chemistry and time

the algorithm IS the development

every leaf is the residue of a computation we never bothered to watch

[dontreadonmeow @dontreadonmeow]

@Jikkyleaks @DNIGabbard Isn’t it convenient how this comes out AFTER the window to hold him accountable has closed…

[Deep Tech Week @deeptechweek]

The world's first functioning prototype of a Zero-Point Energy extraction chip was announced today

It was presented 6 weeks ago to a select audience at NYC @deeptechweek

For the first time ever, you can now see @DrSonnyWhite explain the physics and economics behind ZPE chips

[Owen Lewis @is_OwenLewis]

Okay folks, this qualifies as BREAKING NEWS!

Harold “Sonny” White, the warp drive pioneer behind NASA’s EagleWorks Lab, just stepped out of stealth with Casimir Inc. to unveil MicroSPARC: the first battery free chip to harvest continuous electrical power straight from the quantum vacuum via the Casimir force.

The 5 mm × 5 mm device uses millions of custom microscale Casimir cavities fabricated on a substrate. Inside each cavity, two fixed conductive walls create a region of negative vacuum pressure (the well known Casimir effect). Stationary micropillars anchored in the middle act as antennas. Electrons from the cavity walls then quantum tunnel to the pillars because the interior is a lower energy “quieter” zone — and the probability of tunneling back is orders of magnitude lower. This one way “quantum ratchet” flow generates a measurable DC current with no external power source or moving parts.

Prototypes already fabricated at university nanofab facilities (Texas A&M AggieFab, MIT.nano) have been tested in RF-shielded, low noise chambers for weeks. The team reports outputs ranging from millivolts to volts at picoamp to microamp levels using precision electrometers and Kelvin Probe Force Microscopy. Target performance for the first commercial chip: ~1.5 V at 25 µA (≈40 µW continuous). Stacking and scaling could reach milliwatts or even watts per device.

Initial applications are ultra low power: always on IoT sensors, wearables, and medical implants. Longer term roadmap includes trickle charging phones, powering small electronics, and eventually grid independent homes or EVs. Commercialization is targeted for 2028, starting at ~$100/W before dropping toward $10/W.

White ties the work directly to his earlier theoretical paper on emergent quantization from a dynamic vacuum and sees it as a practical power source for the deep-space missions he’s long championed.

Extraordinary claims require extraordinary evidence, and independent scientists have so far declined public comment. But if the engineering scales as hoped, MicroSPARC would represent a genuine paradigm shift: continuous, maintenance free power drawn from the fabric of spacetime itself.

A bold leap from warp-drive theory into real hardware. Progress (and vacuum-powered chips) marches on.

Photo: MicroSPARC | Casimir Inc.

Source: https://t.co/11tlwNSf71

[Nainsi Dwivedi @NainsiDwiv50980]

RAG might already be becoming obsolete.

A month ago, Andrej Karpathy dropped a simple GitHub gist called “LLM Wiki.”

Now the comments section looks like the birth of an entirely new AI category.

5000+ stars later, developers are rapidly building:
• persistent AI memory systems
• self-maintaining knowledge bases
• multi-agent research environments
• contradiction detection engines
• AI-native company operating systems
• local-first memory architectures
• graph-based reasoning layers
• evolving second brains

And the craziest part?

Most of them were built in DAYS.

Because the core idea is insanely powerful:

Instead of AI repeatedly retrieving raw chunks like traditional RAG…

…the model continuously maintains a living knowledge system.

Not temporary context.

Persistent synthesis.

The shift sounds subtle until you realize what it changes:

RAG:
retrieve → answer → forget

LLM Wiki:
ingest → synthesize → evolve

That one architectural difference is causing an explosion of experimentation right now.

People are already building:
• agent memory operating systems
• AI-maintained engineering documentation
• self-healing knowledge graphs
• persistent research environments
• conversational memory architectures
• contradiction-aware wikis
• context compression engines
• machine-readable company systems

The comments section alone feels like watching an ecosystem form in real time.

One developer built deterministic contradiction detection using sheaf cohomology

Another built “sleep consolidation” for AI memory systems inspired by human memory formation

Another created persistent multi-agent vault conversations

Another turned entire repositories into continuously maintained AI wikis

Another built local-first memory systems with audit trails, provenance, graph exports, and MCP integration

This is the important part:

Karpathy didn’t launch a product.

He introduced a pattern.

And patterns are what create ecosystems.

The same way:
• transformers created modern AI
• RAG created AI retrieval startups
• agents created orchestration frameworks

LLM Wikis may create persistent AI memory infrastructure.

That’s why this moment feels different.

For years, AI systems have been stateless.

Now developers are trying to build systems that actually accumulate understanding over time.

And once knowledge compounds instead of resetting…

…the entire interface layer of AI changes.

(Repo in comments)