Chevas

Founder de SymphOS.IA
Harness Engineer de MatriOS.

Hotelero, Viajero, Geek y Gamer.
🇺🇸🇨🇱🇨🇴🇪🇸🇩🇪🇨🇭🇲🇦

[Chevas @ChevasCastro]

@franperez_fp Cambia de Grok Bot a Open Bot

[Chevas @ChevasCastro]

@miraflores24h

[Chevas @ChevasCastro]

@miraflores24h señores que pasa con el tráfico?
Se están metiendo en contra en las acacias. La salida del Melitón porras

[Milk Road AI @MilkRoadAI]

The AI containment debate may already be over.

@friedberg argument is that powerful AI is no longer controlled by a handful of American companies running enormous data centers.

Open weight models are becoming capable and efficient enough to download, modify, and run on consumer hardware, making the technology nearly impossible to contain once released.

The recent launch cycle shows how quickly this is happening.

DeepSeek released a faster and cheaper model, Alibaba published downloadable weights for Qwen Image 2.1, and PrismML compressed a 27 billion parameter Qwen model into just 5.9 gigabytes.

PrismML says its compressed model retained 98.2% of the original model’s benchmark performance while becoming small enough to run on a laptop or consumer GPU.

At the same time, closed model companies continued releasing more capable and affordable systems.

Anthropic’s Opus 5.5 reportedly matched its more expensive flagship while costing approximately 40% less to run than its predecessor.

Stanford found that the cost of running a model with GPT 3.5 level performance fell more than 280 fold in roughly 18 months.

It also found that the performance gap between leading open-weight and closed models narrowed from 8% to 1.7% on some benchmarks in one year.

That is the real meaning of Friedberg’s argument.

Governments can regulate large data centers, chip exports, and commercial AI providers but they cannot easily remove models that have already spread across the internet and onto personal computers.

The debate must therefore shift from whether powerful AI should exist to how it should be used and who becomes responsible when it causes harm.

[Chevas @ChevasCastro]

@kamilbaranek_ IBM PS/2

[Chevas @ChevasCastro]

@Ionkosm All my proyect have been develop in Spanish, because is a Retail Price observatory.

[Chevas @ChevasCastro]

Para escribir código necesitabas pensar antes de escribir, igualmente es con la IA si no piensas antes de hablar después no te quejes de SLOP...

[Chevas @ChevasCastro]

@NetMentorTW El problema del MCP es que gasta muchos más tokens de lo que deberías. Lo ideal es que cada programa tenga un CLI.

[Chevas @ChevasCastro]

@marcoporracin Que buena manera de gastar tokens.
Usar un LLM como clasificador ontológico es un desperdició de dinero...

[Chevas @ChevasCastro]

@xoaanya I was using it then DeepSeek v4.1 appeared...

[Chevas @ChevasCastro]

@burkov @Samking207 With Opencode.
First try to do it by prompting to Plan agent, run the planning correct it then ask the agent to create the skill.
I haven't create a repo with my skills..

[Chevas @ChevasCastro]

@burkov @Samking207 I created "peripatetic-plan-refinement" the agent has to do X iterations, on every turn the plan has to accomplish 3 minimum requirements, the the agent has to be devil's advocate with his own plan... X iterations. Use it as a baseline.

[Chevas @ChevasCastro]

@burkov @Samking207 Invest a little more no planning, DeepSeek V4.1 is an excellent, efficient and not stopping worker. And thinker.

[Chevas @ChevasCastro]

@LluisQues @oviniciuslana 10$ + 30$ + 20$ (cursor pro)

[Chevas @ChevasCastro]

@ErickSky Grok Bot debería ser un router entre el usuario y su homelab o de última dale su propio framework en su VPS y así si puedes validar sus acciones.

[Kevin Bass @kevinnbass]

I have conducted an audit of Anthropic's finances.

What I have found is so shocking that I am calling for a Congressional investigation.

Anthropic is not just seeking regulatory capture.

It has built a regulatory capture machine that cannot be turned off.

Structural financial incentives make it impossible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle.

It starts with METR.

Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models.

He proposes METR for this purpose.

But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock.

Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio.

And GVF is the overwhelming funder of the entire Anthropic Network ecosystem.

This stock was worth $500 million early last year.

It is worth more than $7.7 billion just ~16 months later.

METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth.

Because if Anthropic goes under, many of the organizations that fund METR go under as well.

But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much.

The "third-party evaluator" is not "third-party" at all.

The evaluator is on Anthropic's payroll.

If this were the end of it, that's bad.

But that isn't all.

The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom.

The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others.

They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's.

All of these organizations are financially dependent on the same exploding $7 billion money pile.

As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder.

Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created.

From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts.

This itself is an objective fact.

The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it.

But the problem also goes in the other direction:

If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die.

Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen.

Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly.

They simply are not organizations independent of Anthropic.

And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly.

What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations.

The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture.

And that feedback loop is winning.

That's what Jacob Coxon is.

China is keeping messaging tight. That is why optimism for AI is so high in China.

America has Anthropic: a massive company pushing anti-AI propaganda at a state level.

Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences.

Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully.

It is the mirror of the same AI virus that it hypothesizes to consume America.

Anthropic's business model, models itself after the very thing it claims to fear.

Except Anthropic's ideology infects humans, not computers.

Congress must investigate.

Evidence and Github in next post.

Then some supplementary figures.

[Chevas @ChevasCastro]

@ErickSky Es solo DeepSeek

[Chevas @ChevasCastro]

@rynorhn #AIDoomerdetected