Anthropic Employee

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Anthropic Employee

Anthropic Employee

@bogdonz

I've posted about every trend a year before it became a trend currently at lab Waterloo ex: big tech

San Francisco Katılım Ocak 2024
79 Takip Edilen153 Takipçiler
Anthropic Employee
Anthropic Employee@bogdonz·
Brits are the most obnoxious tourists on the planet
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Anthropic Employee
Anthropic Employee@bogdonz·
we are not at the scaling stage of robotics. Maybe generative world models but not robotics
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Ronin
Ronin@DeRonin_·
$500k at 19 is worth infinitely more than $1T at 54
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Basoner
Basoner@egebasoner·
Which part do you like most, making it exist or making it good?
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Anthropic Employee retweetledi
Dan
Dan@eleventhturning·
no, people want to feel like they’re part of something bigger than themselves this is not community, it’s the perennial search for collective effervescence
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𝐌𝐜𝐂𝐨𝐲
𝐌𝐜𝐂𝐨𝐲@_dave_mccoy·
What starts as isolation slowly becomes obsession. And what starts as obsession becomes something far more dangerous. 🎥 Taxi Driver (1976).
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Erik
Erik@e_cdalton·
You really never hear the name “Lex Fridman” anymore. What’s up with that?
Blixt le Blanq@BlanqLe

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zynzl
zynzl@zynzl_·
Bigger than you = roids Richer than you = daddies money Smarter than you = nerd Never stop the cope
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Anthropic
Anthropic@AnthropicAI·
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…
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const
const@const_reborn·
@AnthropicAI And just like that we collectively saw the future of inequality
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Elon Musk
Elon Musk@elonmusk·
@iam_smx *trillioniare
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Anthropic Employee
Anthropic Employee@bogdonz·
If you ain’t talkin money i genuinely don’t wanna talk
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Ken Wattana
Ken Wattana@KenWattana·
The Fable Fumble will go down as a notable moment in AI history
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Anthropic Employee
Anthropic Employee@bogdonz·
“As I wrote in machines of loving grace” Bro stfu ain’t nobody reading ur stupid manifesto. This guy just gets to write bullshit and get paid. What a great life
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Anthropic Employee
Anthropic Employee@bogdonz·
I remember all I used to do all day was climb trees…
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Anthropic Employee
Anthropic Employee@bogdonz·
This is what the real intelligence explosion / recursive self improvement will be btw^
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Anthropic Employee
Anthropic Employee@bogdonz·
Some unfiltered schizo ramblings: OpenAI and Anthropic are doing depth first search on AGI. They are pushing one path as far as it can go: scale, reinforcement learning, agents, and whatever comes next. But the rest of the world will have to do breadth first search across everything else. Every strange architecture, every forgotten idea, every weird cognitive tool, every specialized model. We need to see what bears fruit. That is why every company will eventually become a lab. Not necessarily by training frontier models, but by using frontier models to explore, test, simulate, and build new ones. Well maybe not Claude, depending on how restricted Fable 5 and Anthropic’s newer models keep getting, but the broader point still stands. We already know neural architectures can “think” on some level. Maybe nothing beats the scaling path OpenAI and Anthropic are on. But even then, we can still build smaller neural tools: highly specialized models that agents can call the way humans use calculators, search engines, or memory. And before you overestimate how hard this is, try to understand how dumb the average human is. Like actually think about it. How complex can the average brain really be? All it takes is some unprotected sex and 9 months later boom, the so called “most complex thing in the universe” just shows up. Maybe the reason we underestimate these models is because we overestimate the human brain.
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