initisnt

...

[initisnt @initisnt]

@zerohedge Pop victim normies ruin everything.

[initisnt @initisnt]

@Polymarket There's nothing quite like being pointless war fodder for a rich man who hates you.

[initisnt @initisnt]

@PsyopAnime Carney represents the essence of Davos globalist stoogery.

[initisnt @initisnt]

@HappyCamper_VA @Grummz You're just another retarded anti-tech pop victim that is supporting being dominated by China. Congrats.

[initisnt @initisnt]

@Grummz Pop victims have been manipulated into being a danger to us all. The modern lib has become a suicidalist.

[initisnt @initisnt]

@WilsonLaw @DrewPavlou More like a "socialist" and racist brown-supremacist book store. Fuck you if you support that shit, and fuck them

[initisnt @initisnt]

@paulg @migueldeicaza Your use of "far right" in this context suggests you're still a pop victim. Sharpen up, dork.

[The All-In Podcast @theallinpod]

David Sacks Predicts the Regulatory Capture Playbook to Ban Open Source AI, Step by Step:

@DavidSacks:

“I got bad news for you, Chamath, an open source ban is coming.

They're not going to call it that. They're going to say that we simply have to apply the same standards to open models that we apply to closed ones.

Here's how they do it step by step, let me explain how regulatory capture actually works.

So first of all, you have to get this regulatory apparatus. Dario wants an FDA for AI, but he doesn't have enough political support for that, so instead they do this Trojan horse of a FINRA for AI.

They call it self-regulating, it's not really, but anyway, that gets them off the ground.

Now they've created the standard-setting organization. Now they've got pre-release model testing. Then the pressure grows to codify that in law, so that happens next.

And then what they do is they say, ‘Look, all these standards need to apply equally to all models.’ But here's the problem with that. Open models and closed models are technologically different. Once you release an open model into the world, you can't roll it back and you can't monitor exactly how people are using it because they run it on their own hardware. Dario says this is what makes open models dangerous.

So what they're going to do is they're going to have the standard-setting body say, ‘Well, we have to set the standards for AI safety.’

By the way, Dario and OpenAI, they're going to fund the whole thing. They're going to contribute all the compute. They're going to be behind it.

They're going to be the ones coordinating with the government officials because frankly, people in government have no idea how to monitor and control and set standards for AI safety. Technologically, this is way beyond them. So they're going to go to these companies and say, ‘Tell us how to do it.’

And so what will happen is the standards will get set, and then it'll be a very simple matter of fairness to say that the standards need to apply to open as well as closed models.

The open models cannot comply in the same way, and gradually they will be shut out of the market.”

[Chubby♨️ @kimmonismus]

Nvidia Agrees to Buy Open Source AI Platform Hugging Face For $12.9 Billion

The Information says Hugging Face generates roughly $150 million in annualized revenue, valuing the deal at about 80× forward revenue.

Nvidia is paying for strategic control, not current sales. Strong open models help protect demand for its GPUs as OpenAI, Anthropic, Google and other major customers develop competing AI chips.

Hugging Face could also revive Nvidia’s cloud ambitions by connecting millions of developers, models and workloads directly with Nvidia compute.

Smart and huge deal.

[Beff (e/acc) @beffjezos]

OpenAI decided to keep the chip team small and use AI for a an improvement loop

Early stages of Hardware in the loop RSI?

[Sam Altman @sama]

we made a chip and it is fast

[Markets & Mayhem @Mayhem4Markets]

Apple describes its new Mac Studio M5 Max and Ultra as "A Monumental Step for AI" ahead of release.

[Polymarket @Polymarket]

JUST IN: OpenAI claims its first custom AI chip, “Jalapeño,” outperforms Nvidia’s flagship GB200 & GB300 systems on AI inference.

[OpenAI @OpenAI]

Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it.

The results show a major advance: more intelligence from every watt and faster responses, delivering both higher throughput and lower latency in one architecture without sacrificing efficiency.

[initisnt @initisnt]

@TheEconomist Oh look, the suicidalists have a negative opinion about those who don't hate themselves. Shocking.

[Remarks @remarks]

JUST IN: 🇺🇸 US researchers successfully send quantum information wirelessly over 13 miles, advancing efforts to build a quantum internet.

[initisnt @initisnt]

@elonmusk @choeshow Crazy retards on the street doesn't mean there isn't an affordable housing crisis. There is one.

[Yuchen Jin @Yuchenj_UW]

UC Berkeley open-sourced FreeToken. Wild results:

A single RTX PRO 6000 runs the 753B GLM-5.2 at 14.9 tok/s!

An 8GB RTX 4060 laptop (~$1,000) runs Qwen3.6-35B at 39.3 tok/s!

FreeToken is 2–4x faster than Ollama across consumer GPUs. Local AI inference is getting very real. Great work by @Andy_ShuoYang and UC Berkeley Sky Lab!

[Polymarket @Polymarket]

JUST IN: Alibaba quarterly profit plunges 75% as the company ramps up spending on AI infrastructure & computing capacity.

[DeepSeek @deepseek_ai]

DeepSeek-V4-Flash-Vision-Exp is now live on the DeepSeek API Platform! 🚀

🔹 This experimental multimodal model matches DeepSeek-V4-Flash on text capabilities—including agents, reasoning, and world knowledge.
🔹 On multimodal agent benchmarks, V4-Flash-Vision-Exp makes a major leap over V4-Flash, bringing multimodal agent performance close to Opus-4.8.

Try it with model='deepseek-v4-flash-vision-exp'. DeepSeek Harness 0.1.1 was released today with out-of-the-box support for the new model.

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