Ernesto Ramirez

276 posts

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Ernesto Ramirez

Ernesto Ramirez

@ernestor_eth

techno-optimist | engineer | building @succinctlabs

San Francisco Katılım Mayıs 2022
706 Takip Edilen438 Takipçiler
Ernesto Ramirez
Ernesto Ramirez@ernestor_eth·
@fakedev9999 It's good, but significantly nerfed. It downgrades to opus too often for random shit. 5.6 sol is pretty cracked
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Ernesto Ramirez
Ernesto Ramirez@ernestor_eth·
@gakonst What do you think is the right balance between working through Centaur and devs using their individual sub/seat? Bc Centaur costs significantly more per token and iteration time seems slower for larger scope tickets.
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Georgios Konstantopoulos
Plz take the extra effort to own your data and your infrastructure, assign 1 person on your team to set up Centaur over Claude Tag and let me know how it goes - docs in reply. Claude Tag is awesome, I've spent a few reps using it to understand where it does better than our OSS alternative (just memory right now which we'll have next week and have intentionally delayed because we didn't think it was worth it) but it's just hard to risk your entire company's brain atrophying if that were to be taken away from you. And soon we'll allow you to swap out frontier models for finetuned OSS ones on each channel (working on the eval rn) and then your cost is going to be in the low tens of thousands per year vs 10-100x that, plus you owning it all. That's the catch the forces above us don't want you to know.
Georgios Konstantopoulos@gakonst

It seems extremely important for companies to be able to own their data and later on their models by finetuning open source models on their data. Products like Claude Tag are obviously against that, as the incentive is to deeply integrate and max out the data you can get. We built an OSS tool which empowers companies to get the "virtual collaborator" today on Slack/Teams etc. with existing hosted models, self-host it, capture all their own data, and then whenever the team feels like it, they can eject into sovereignty! centaur.run

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Advaith
Advaith@advaith·
I’m over here reading my book I got Kant in my book right now. I’m just reading my book I’m moral as fuck man I’m a philosopher man like for real.
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Advaith
Advaith@advaith·
ain't no mf way bruh 😭
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sid
sid@immasiddx·
Someone made a song called “Claude’s Plan” inspired by Drake’s God’s Plan. The AI industry has PEAKED here. 😭
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Ernesto Ramirez
Ernesto Ramirez@ernestor_eth·
Imagine @GavinNewsom shows up at your BJJ gym for a trial class. That'd be fun. Maybe not for him, but definitely for everyone else.
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Physics In History
Physics In History@PhysInHistory·
What is the greatest enemy of science? ✍️
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@iHateMyBtch·
… tweet media
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Paul Graham
Paul Graham@paulg·
Among the other things AIs will get better at is recognizing AI-generated text. Presumably writing generated by this year's models will be easy to catch in a few years. Prediction: This will cause huge scandals in academia, as published papers are later exposed as AI-generated.
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andrew chen
andrew chen@andrewchen·
2002: I'll google it 2015: I'll uber over 2026: I'll GPT it (???). I'll claude it (???) Why haven't we picked the dominant verb for AI yet?
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Ernesto Ramirez
Ernesto Ramirez@ernestor_eth·
@garrytan We'll eventually see some form of Berlin Wall in New York or California if enough people leave these states.
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Clemente
Clemente@clementetv_·
When you're still coding by hand in 2026
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Ernesto Ramirez
Ernesto Ramirez@ernestor_eth·
@AlexFinn The question is when is it worth investing in hardware to run a model like this, purely for sovereignty and personal use? Hard to justify spending $15-30k on hardware right now. Most would rather pay for tokens and forego privacy.
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Alex Finn
Alex Finn@AlexFinn·
As a sidenote, this is a MASSIVE model You will not be running this on a Mac Mini. In fact, you will need quite a few high end GPUs But here's the thing: hardware will get better. Models will be made more efficient. This is the worst it will ever be Within the next few years this will 100% be able to run on widely available consumer hardware. I'd bet ANYTHING on it The fact that a model who's weights you can download right now is just as good as Opus 4.8 is a feat in its own
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Alex Finn
Alex Finn@AlexFinn·
I was wrong I've been saying for months that open source AI models are 6 months behind frontier They caught up. GLM 5.2 is as good as Opus 4.8 This changes everything. If you run GLM 5.2 locally no government can take it away. You become sovereign And even if you run through APIs, its a fraction of the cost The battlefield is different now. If open source is as good as frontier, and people have cheaper alternatives, governments can't be as quick to regulate. It will destroy the frontier AI labs All of this is such a massive win for the people If you are not paying attention to local models yet, you are making a tremendous mistake
Z.ai@Zai_org

Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: z.ai/blog/glm-5.2 Weights: huggingface.co/zai-org/GLM-5.2 API: docs.z.ai/guides/llm/glm… Coding Plan: z.ai/subscribe Chat: chat.z.ai

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tenso
tenso@distributedkv·
@tszzl - wedge - smoke tests - flywheel
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roon
roon@tszzl·
I don’t think I love anything as much as language models love “smoke tests”
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