Héctor Palma Téllez retweeted
JUST NOW: Netanyahu warns Iran has 𝗝𝗨𝗦𝗧 𝗥𝗘𝗦𝗧𝗔𝗥𝗧𝗘𝗗 𝗜𝗧𝗦 𝗡𝗨𝗖𝗟𝗘𝗔𝗥 𝗪𝗘𝗔𝗣𝗢𝗡𝗦 𝗣𝗥𝗢𝗚𝗥𝗔𝗠, claiming Tehran will try to 𝗪𝗜𝗣𝗘 𝗜𝗦𝗥𝗔𝗘𝗟 𝗢𝗙𝗙 𝗧𝗛𝗘 𝗠𝗔𝗣 before the national elections.
@grok confirm
i built a website where you can sit at elizabeth holmes’ desk
open her macbook, scroll her iphone, run the theranos edison machine
her texts, emails, slides, documents, and theranos machine records are real, sourced from exhibits in the united states v. holmes criminal trial
a weird inversion with LLMs is the models improve faster than the tinkerers
when i see people with custom workflows and setups they're all addressing problems that don't exist anymore
the person naively using vanilla codex is more likely to be experiencing state of the art
Héctor Palma Téllez retweeted
Atlas: Lula tem 50,1% dos votos válidos no 2º turno; Flávio, 49,9%
cnnbr.app/short/c2623562005/
OpenAI model names aren't that confusing, you just need to know we started with GPT-1, 2 and 3, then 3.5, then 3.5 Turbo, then GPT-4, then GPT-4 Turbo, then GPT-4o where the o means omni, except it didn't really end up being omni, then GPT-4o mini
Then we switch to the o series, where the o now means OpenAI instead of omni, starting with o1-preview and o1-mini, then o1 drops the preview, then we skip o2 and they announce o3 and o3-mini, but o3-mini gets released first, meanwhile GPT-4.5 comes out and THEN GPT-4.1 because why not, alongside GPT-4.1 mini and nano, then o3 finally arrives with o4-mini even though there's no regular o4
Then we're back to GPT with GPT-5, mini and nano, followed by 5.1, 5.2 and 5.2-Codex, then 5.3-Codex, and yes there's also GPT-5.3 but ONLY Instant, no Thinking or Pro, then 5.4 brings the coding capabilities into the main model so we drop the Codex suffix, but hey mini and nano are back, then 5.5, then 5.6 where the names are now Sol, Terra and Luna
Then GPT-6 arrives but only Astra at first, followed by Sol and Luna, no GPT-6 Terra this time, and exactly a week after GPT-6 Sol we get GPT-6.1 Sol with near-Astra performance at a much lower cost
And that's just the quick version, wasn't that hard was it?
Héctor Palma Téllez retweeted
When you rely on LLMS: braindead slop-cannon
When I rely on LLMs: on the bleeding edge of cognitive offloading
Héctor Palma Téllez retweeted
GLM 5.3 Flash and DeepSeek V4.1 Flash are more than enough for 95% of people btw
You don’t need “frontier intelligence” for everyone
Today's my birthday, and I could not have asked for a better gift.
Bonsai 2 fits on most phones shipping today (anything >8GB). And it outperforms Opus 4.6 and 5.6 Luna -- on tasks that would have sounded absurd to attempt anywhere two years ago.
I try to be disciplined about timelines. My most optimistic estimate for something like this was early-2027. It's September 2026.
Huge thank you to the @prismml team -- @BabakHassibi @SahinLale @HessianFree @rsadri_ml @tushar_bans @evaninwords -- for putting this into the world.
We're bringing Bonsai 2 to @DarkbloomAI tonight. The 1,000+ providers can test it right away. And whenever those machines aren't in use, they'll serve Bonsai 2 to anyone who wants to try it.
So few people set up a local model themselves, and a model this good shouldn't be gated by that. More tomorrow.
Today, we’re announcing Ternary Bonsai 2 27B.
Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance.
Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use.
Ternary Bonsai 2 27B is available today under Apache 2.0.
Héctor Palma Téllez retweeted
Todo el mundo quejándose que están sin plata para el 18 y nadie agradece que estamos mejor que el 18 del próximo año.
Héctor Palma Téllez retweeted
> be anthropic
> say ai might take over internet
> researchers: “it might kill humans.”
> dario: “we need independent evaluators”
> choose metr
> metr gets funded by the same network funding anthropic
> which also funds ai safety orgs
> which also funds doom research
> which also funds policy work
> which also holds major wealth linked to anthropic
> which also funds tarbell
> tarbell pushes doom into time, the verge, science, la times, etc.
> anthropic makes more money
> network gets richer
> more fund goes into ai doom
> ai doom pushes more regulation
> regulation favors “responsible” frontier labs
> anthropic gets more power
> repeat
the doom funds the network → the network amplifies the doom → anthropic benefits from both
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.





































