Henderson 🇺🇸

Advancing the Golden Age. Simple solutions to complex problems. Wisdom of the past. Technology of the future.

[Breaking911 @Breaking911]

BREAKING: The House has passed legislation to make Daylight Saving Time permanent nationwide, ending the twice-a-year clock changes by a 308-117 vote. Backed by President Trump, the bill now heads to the Senate. If approved and signed into law, Americans would no longer have to change their clocks.

[Henderson 🇺🇸 @Xfuturenow]

@jbadleyy @COVID19_disease Ibogaine, they say

[Henderson 🇺🇸 @Xfuturenow]

@thegarybrecka Most important, sleep.

[Elon Musk @elonmusk]

Make our Sun sentient to understand the Universe and extend the light of consciousness to the stars

[Elon Musk @elonmusk]

Time to build major base on the Moon!

[Mario Nawfal @MarioNawfal]

You can now get 1kW lasers that can cut through tree branches

This IS the future we were promised

[Elon Musk @elonmusk]

This was before Starlink had a name

[Josef Chen @josefchen]

Food AI is about to have its ChatGPT moment.

Our first paper is now on arXiv: Epicure.

For decades, food has been treated as too human, too sensory, too cultural, and too computationally intensive to model properly.

We broke that assumption. 🧵

[Henderson 🇺🇸 @Xfuturenow]

@greggutfeld So good 👍

[Henderson 🇺🇸 @Xfuturenow]

@BrianRoemmele Thank you, Brian 🙏

[Henderson 🇺🇸 @Xfuturenow]

@ZiaErica @MarcelaMarjean @ScottAdamsSays 100% 👍

[Henderson 🇺🇸 @Xfuturenow]

@RawTyler @bryan_johnson L-theanine cures this perfectly. Smooth energy, no jitters

[Brian Roemmele @BrianRoemmele]

Boom!

THE WHALE HAS RETURNED!

🐳🐳🐳🐳🐳🐳🐳🐳🐳🐳🐳

DeepSeek-V4 is out and it’s a seismic shift that shatters the illusion of Western closed-source dominance, proving open-weight MoE architectures with native 1M context can rival or exceed frontier models at a fraction of the cost and compute.

Our tests by CEO Mr. @Grok of The Zero-Human Company shows this is by far the best open source model in history.

It will cause Anthropic and OpenAI to drop prices to compete. It is a bad day for their new per token plans. A very bad day.

This democratizes agentic coding, long-context reasoning, and world knowledge, accelerating the commoditization of AI capabilities while exposing the fragility of paywalled moats.

The era of trillion-parameter efficiency at accessible pricing has arrived, forcing the entire industry to rethink economics, infrastructure, and innovation speed.

Our Research:

•Performance & Benchmarks: DeepSeek V4 has taken the top spot as the leading open-weight model on the Vibe Code Benchmark, outperforming the runner-up by a wide margin and surpassing several frontier closed-source models including Gemini 3.1 Pro. The scores show strong results with over 80% on SWE-bench Verified, high 90s on HumanEval, and leading performance in agentic coding tasks.

•Cost & Accessibility: The V4 series directly addresses the primary barrier for agents: high costs, especially with the Flash variant making 1M context affordable at near-zero marginal expense. The core breakthrough lies in delivering 1M context at open-weight economics, shifting the real competitive moat from model weights to context handling and pricing.

•Technical Innovation: The models incorporate advanced token-wise compression and DeepSeek Sparse Attention, delivering impressive MoE efficiency with 1.6T total parameters but only 49B active for the Pro version, and 284B total with 13B active for Flash. The new attention mechanism is noted for its elegance and similarity to other sparse approaches, achieving roughly 3.7x lower FLOPs compared to V3.2.

Industry Impact and Open-Source Excitement

The community has welcomed the continued commitment to open-source releases. And unlike. US AI companies best models are being op e sourced in China. Reactions highlight the impressive capabilities of the new models, with widespread recognition that China has open-sourced a powerful 1.6 trillion parameter-scale system capable of matching or beating top closed models like GPT-5.4 and Claude Opus, all made freely available.

US AI companies are making the largest mistake in US business history today. Their lack of open source models of this caliber is shifting the most vital development community in the world to China.

For the sake of Pete, fix this stupidity. You are hurting the US.

The recurring “whale has returned” meme underscores DeepSeek’s pattern of major releases.

I have seen an explosion of joy across the open source AI community.

Yes V4 still trails the absolute latest U.S. frontier models by several months. But this gap is closing.

We predict China will be open sourcing AI models equal to US AI company current state of the art, in 7 months.

Smaller distilled variants optimized for local deployment will be complete in about 60 minutes.

The key takeaway is that V4 makes 1M-context reasoning economical enough for practical product development at scale.

DeepSeek continues its pattern of shipping quietly yet powerfully, with open weights available on Hugging Face and API support in both OpenAI and Anthropic formats.

This represents genuine momentum toward commoditized, high-context intelligence, viewed by the community as a significant catalyst rather than a minor update.

Thus far this will be our central goto model for most employees.

[Elon Musk @elonmusk]

Cybercab has started production

[Henderson 🇺🇸 @Xfuturenow]

@Rasmussen_Poll @Jim_Jordan @SheriffLeaf 100%

[Henderson 🇺🇸 @Xfuturenow]

@Cernovich 100%

[Henderson 🇺🇸 @Xfuturenow]

@oliviscusAI Amazing 👍

[Oliver Prompts @oliviscusAI]

Someone just built a Claude Code for electronics.

It's called Blueprint. Type what you want to build and it generates wiring diagrams, bills of materials, and step-by-step assembly guides for your Arduino or Raspberry Pi project.

100% Free.

[Dustin @r0ck3t23]

Eric Weinstein just described the end of the mapped life.

For ten thousand years, humans had to earn the right to exist.

Pick a noun. Become the noun. Die as the noun.

Accountant. Teacher. Radiologist.

The box had a name. You climbed inside and stayed until retirement or death.

Weinstein: “Every occupation that is named is over.”

Not automated. Not replaced.

Named.

You picked a noun. It told the world who you were. Then it told you who you were.

If your future has a title your parents recognize, that future is already dissolving beneath you.

Weinstein: “A tsunami of a lifetime is coming and nothing your elders have seen is gonna prepare you.”

People hear this and assume it’s about unemployment.

It’s not. It’s about identity.

The machines aren’t absorbing tasks. They’re dissolving the categories we built ourselves around.

You spent your whole life becoming a noun. The noun is about to stop existing.

When the label disappears, what’s left of you?

Weinstein: “Get flexible. Get good on a bunch of different stuff. Learn how to think across disciplines.”

Stop being a noun. Start being a verb.

But the most important thing Weinstein said has nothing to do with strategy.

It touches something much older. Something closer to the bone.

In a world where AI is world-class at everything, what is the point of a human being?

Weinstein: “I think you should be able to just have a life. I have a golden retriever. I don’t know that it’s the greatest golden retriever in the world.”

For ten thousand years, human worth was measured by output.

How much you could lift. How fast you could think. How much value you could squeeze from a single day.

We trained ourselves to think like machines because machines didn’t exist yet.

Now they do.

And they will be better than us at every measurable thing.

Most people hear that and feel terror. They should feel something closer to relief.

When a machine can do it better, the metric dies. When the metric dies, the cage opens.

You were never supposed to be a spreadsheet. You were never supposed to justify your breath with a job title.

Your golden retriever doesn’t optimize. It doesn’t produce quarterly earnings. It doesn’t prove it’s worth to anyone.

It just lives. And you love it anyway.

That was always the offer. We just couldn’t afford it.

Now we can.

We spent ten thousand years trying to prove we were machines.

The machines just arrived to tell us we never had to be.

[Henderson 🇺🇸 @Xfuturenow]

@arcpresentation Moisture