Rene van Pelt

595 posts

Rene van Pelt

Rene van Pelt

@renevanpelt

Building https://t.co/CkhuoPN4Zc

Katılım Kasım 2025
55 Takip Edilen43 Takipçiler
Rene van Pelt
Rene van Pelt@renevanpelt·
Kimi K3 is just as 'open weight' as the Grok models. All talk an announcement.
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Rene van Pelt
Rene van Pelt@renevanpelt·
I've had too many GPT tokens the past 2 weeks..
Rene van Pelt tweet media
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Rene van Pelt
Rene van Pelt@renevanpelt·
@karpathy Screaming at screens is an implementation strategy and pattern now. Does that mean we can stop looping?
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Andrej Karpathy
Andrej Karpathy@karpathy·
One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lean back, switch to /voice and just ramble for like 10 minutes, total mess, anything goes, full stream of consciousness. Sometimes I declare it up top, something like "switching to speech recognition sorry for any typos...". Sometimes I turn it into a small interview of a few turns. But I find that the LLMs are somehow very good at reconstructing long incoherent rambles and often their echo of your own tangle of thoughts comes out quite a bit cleaner than what you started with. The result is that you improve the mind meld and have to correct things less from that point on.
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GooGZ AI
GooGZ AI@PaulGugAI·
@renevanpelt I feel like we are not far off Linux distros being essentially a harness first and PC second.. maybe an appliance like experience that you put on a mini PC
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Rene van Pelt
Rene van Pelt@renevanpelt·
I feel like codex, claude code and the other harnesses should less be a harness and more be an operating system.
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Rene van Pelt
Rene van Pelt@renevanpelt·
So how do I use fable? Been weeks, still getting the guardrails stuff too much
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Tyler
Tyler@rezoundous·
apparently even using GPT-5.6 + Fable for a long time in 1 single session makes it an echo chamber. both getting tunnel vision lol
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Rene van Pelt
Rene van Pelt@renevanpelt·
@svpino Most people didn’t need a car for 99% of their trips a century ago.
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Santiago
Santiago@svpino·
The tokenmaxxing culture is absolutely out of hand. You don't need an agent for everything. In fact, I'm 99% sure you don't need an agent for 99% of the problems you need to solve. Good engineering principles still apply. Simplicity still wins. A regular, boring ol' script that works every time is 1000 times better than a fancy agent that works sometimes. We need common sense back.
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Max Weinbach
Max Weinbach@mweinbach·
what the fuck is a graph man just type stuff and hit enter it's not that deep
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Tyler
Tyler@rezoundous·
How is Google able to fumble this hard despite being so early
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dax
dax@thdxr·
we banned someone operating 8,000 fraudulent OpenCode Go accounts they were reselling $480,000 of tokens every month this will make things more sustainable for legitimate users enjoy your week
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Rene van Pelt
Rene van Pelt@renevanpelt·
@PaulGugAI The word lab has absolutely nothing to do with being profit-driven or not. The guy is tweeting on K again
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GooGZ AI
GooGZ AI@PaulGugAI·
Never considered this perspective. Is this a consensus view on X? I tend to see the term ‘labs’ thrown around more generally..
Elon Musk@elonmusk

@huaijiangzhu It is pretentious and poisonous for for-profit companies to call themselves “labs” when they are actually corporations and to create a lords & peasants culture between (looksmaxxing) “researchers” & engineers when they are both, on their better days, actually engineers

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Elon Musk
Elon Musk@elonmusk·
@huaijiangzhu It is pretentious and poisonous for for-profit companies to call themselves “labs” when they are actually corporations and to create a lords & peasants culture between (looksmaxxing) “researchers” & engineers when they are both, on their better days, actually engineers
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huaijiang
huaijiang@huaijiangzhu·
my spicy theory is that chinese ai labs keep winning because of culture, not talent or resources. chinese labs still have a deeply hands-on engineering culture. deepseek and kimi are flat organizations where science and engineering are fused: the same people move between algorithms, data, and infra, doing whatever it takes to make the model work. but sf tech bros have decided that “researcher” is the high-status title while infra is merely support work. every new sf ai startup calls itself a “lab,” every ambitious engineer quietly upgrades their title to “research engineer,” and the infra work is left to whoever failed to escape it. but at frontier scale, infra determines experiment velocity, and experiment velocity determines research output. at frontier scale, infra **is** research.
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Tyler
Tyler@rezoundous·
GPT-5.6's perfectionism is a double edged sword
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GooGZ AI
GooGZ AI@PaulGugAI·
@renevanpelt It is (Claude max) but only at 50% of the weekly limit.
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Rene van Pelt
Rene van Pelt@renevanpelt·
So yes or no Fable in the 20x plan? I'm lost
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Rene van Pelt
Rene van Pelt@renevanpelt·
@TimJayas Some orgs in China are making backups for us. Don't worry.
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Tim Jayas
Tim Jayas@TimJayas·
if Anthropic and OpenAI gets disappeared Which will be your backup ai model?
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