Don’t mistake kindness for weakness

19.2K posts

Don’t mistake kindness for weakness

Don’t mistake kindness for weakness

@itsRickRobinson

Founder, Inventor, Executive, Writer

Katılım Mart 2008
574 Takip Edilen941 Takipçiler
sam lessin 🏴‍☠️
sam lessin 🏴‍☠️@lessin·
now everyone types... and there are no more professional typists - soon everyone codes, and there will be no professional developers.
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Tim✨
Tim✨@timyangnet·
@johnpalmer I’m looking at this from a different angle than the author, though. As an AI user, how much of a lead do early adopters actually have over latecomers? I feel like any "understanding advantage" they have could be closed in a single week.
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Matt Shumer
Matt Shumer@mattshumer_·
@HellenicVibes These are 100% my thoughts... AI helped organize them and improved my writing. You don't need to outsource everything to AI to get value from it :)
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Alex Finn
Alex Finn@AlexFinn·
getting a lot of q's around codex & opus the new codex is great. the desktop app is excellent. I use it daily Idk what it is, Opus just feels so eager and excited to build with me. hard to put my finger on it. you honestly can't lose with either tho codex great value for $$
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Alex Finn
Alex Finn@AlexFinn·
Building with Claude Opus 4.6 in Claude Code is literally a holy experience It feels like I have unlimited power. Anything I think just appears in front of me
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Alex Finn
Alex Finn@AlexFinn·
Saturday night. 6 hours of sleep over the last week. My autonomous agent company having an emergency meeting on the left. My ClawdBot giving them new tasks on the right All being powered by local models in my Mac Studio data center I refuse to be in the permanent underclass
Alex Finn tweet media
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Don’t mistake kindness for weakness
@TheHoolest This is practically a dark pattern. It's at the very least rather annoying ... If the consumer simply wants the hardware and not the subscription, it's apparently not possible despite what the checkout flow initially indicates?
Don’t mistake kindness for weakness tweet media
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Min Choi
Min Choi@minchoi·
It was only Day 1 of CES 2026. And the announcements are already mind blowing. 10 wild reveals: 1. Samsung's mysterious slim 3D display
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Dulles Airport (IAD)
Dulles Airport (IAD)@Dulles_Airport·
Good morning to everyone going back to work today and trying to remember their logins! Stay strong. You got this!
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AI Explained
AI Explained@AIExplainedYT·
@karpathy Hey Andrej, what do you think of my version?: lmcouncil.ai More like 6 months than one weekend, as I expanded the concept into images, audio, polls, smartgpt leaders and more.
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Andrej Karpathy
Andrej Karpathy@karpathy·
As a fun Saturday vibe code project and following up on this tweet earlier, I hacked up an **llm-council** web app. It looks exactly like ChatGPT except each user query is 1) dispatched to multiple models on your council using OpenRouter, e.g. currently: "openai/gpt-5.1", "google/gemini-3-pro-preview", "anthropic/claude-sonnet-4.5", "x-ai/grok-4", Then 2) all models get to see each other's (anonymized) responses and they review and rank them, and then 3) a "Chairman LLM" gets all of that as context and produces the final response. It's interesting to see the results from multiple models side by side on the same query, and even more amusingly, to read through their evaluation and ranking of each other's responses. Quite often, the models are surprisingly willing to select another LLM's response as superior to their own, making this an interesting model evaluation strategy more generally. For example, reading book chapters together with my LLM Council today, the models consistently praise GPT 5.1 as the best and most insightful model, and consistently select Claude as the worst model, with the other models floating in between. But I'm not 100% convinced this aligns with my own qualitative assessment. For example, qualitatively I find GPT 5.1 a little too wordy and sprawled and Gemini 3 a bit more condensed and processed. Claude is too terse in this domain. That said, there's probably a whole design space of the data flow of your LLM council. The construction of LLM ensembles seems under-explored. I pushed the vibe coded app to github.com/karpathy/llm-c… if others would like to play. ty nano banana pro for fun header image for the repo
Andrej Karpathy tweet media
Andrej Karpathy@karpathy

I’m starting to get into a habit of reading everything (blogs, articles, book chapters,…) with LLMs. Usually pass 1 is manual, then pass 2 “explain/summarize”, pass 3 Q&A. I usually end up with a better/deeper understanding than if I moved on. Growing to among top use cases. On the flip side, if you’re a writer trying to explain/communicate something, we may increasingly see less of a mindset of “I’m writing this for another human” and more “I’m writing this for an LLM”. Because once an LLM “gets it”, it can then target, personalize and serve the idea to its user.

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