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Chapter 1 is live🌄
The first step toward real user ownership in the AI era.
You control your data. You decide what your AI tools access. And you get the rewards.
It all starts here: bless.network/dashboard
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Bless
2.4K posts
Bless
@theblessnetwork
The world’s first shared computer.
Katılım Mart 2022
24 Takip Edilen478.3K Takipçiler
Eventually, content from humans will be considered the slop.
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They pulled off the impossible: made a real human video look 100% AI generated 🤣
@
Just two humans having a perfectly natural conversation.
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there's a truly bonkers hot mic moment at the end of this that may change the way you think about anthropic
you're gonna want to read all the way through this one
vanityfair.com/news/story/dar…
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Tired: Universal basic income
Wired: Universal basic compute
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@SusanLiTV They don’t even let you keep money you stole fair and square any more. Broken society
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FTX’s $500 million Anthropic stake would be worth $30 billion today 👇
SBF@SBF_FTX
@Fityeth The lawyer who filed FTX for bankruptcy said Anthropic was worth "nothing" and sold the stake for $1.3b.
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@bobbyfijan Feeling guilt was invented in 1910. Understanding this allows you to build companies
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You can read the actual daily diaries of George Washington or the Autobiography of Ben Franklin to see that this isn’t true
David Senra@davidsenra
Great men of history had little to no introspection. The personality that builds empires is not the same personality that sits around quietly questioning itself. @pmarca and I discuss what we both noticed but no one talks about: David: You don't have any levels of introspection? Marc: Yes, zero. As little as possible. David: Why? Marc: Move forward. Go! I found people who dwell in the past get stuck in the past. It's a real problem and it's a problem at work and it's a problem at home. David: So I've read 400 biographies of history’s greatest entrepreneurs and someone asked me what the most surprising thing I’ve learned from this was [and I answered] they have little or zero introspection. Sam Walton didn't wake up thinking about his internal self. He just woke up and was like: I like building Walmart. I'm going to keep building Walmart. I'm going to make more Walmarts. And he just kept doing it over and over again. Marc: If you go back 400 years ago it never would've occurred to anybody to be introspective. All of the modern conceptions around introspection and therapy, and all the things that kind of result from that are, a kind of a manufacture of the 1910s, 1920s. Great men of history didn't sit around doing this stuff. The individual runs and does all these things and builds things and builds empires and builds companies and builds technology. And then this kind of this kind of guilt based whammy kind of showed up from Europe. A lot of it from Vienna in 1910, 1920s, Freud and all that entire movement. And kind of turned all that inward and basically said, okay, now we need to basically second guess the individual. We need to criticize the individual. The individual needs to self criticize. The individual needs to feel guilt, needs to look backwards, needs to dwell in the past. It never resonated with me.
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and then they could afford 5 more researchers!
Kalshi@Kalshi
JUST IN: JPMorgan says Meta could save $5 billion per year by cutting 20% of employees
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Because they’re all doing a specific type of marketing communication tailored to appeal to private capital. Easily led subscriptionmaxxers get caught up, declare themselves members of the overclass etc.
In reality, economic history suggests AI will create tons of jobs. Not sure why that’s not the obvious pitch for the labs.
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I don’t think there’s ever been en a technology whose builders constantly promise that, if they succeed, tens of millions of jobs will be destroyed and the world might end.
Brad Gerstner@altcap
AI is deeply unpopular. According to Pew, sadly only 17% of Americans think AI will have a positive impact. In China, 83% believe AI will be positive. A token tax & political backlash is coming unless the narrative changes. 🇺🇸👀🧐
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2018: Musk quits OpenAI, citing conflict of interest with Tesla's own AI effort.
2019: Musk claims Tesla is now an AI company
2020-2022: Tesla misses every single autonomy timeline set by Musk
2022: Musk sells billions worth of Tesla shares to acquire Twitter - reducing his stake in the then successful automaker
2023: Musk sees the success of ChatGPT and forms xAI, a private AI company, despite being CEO of Tesla, which he also claims to be an AI company
2024: Musk threatens Tesla shareholders to give him a bigger stake in Tesla (after he sold his) or he won't be building AI products at Tesla anymore
2025: Tesla shareholders bend the knee and give Elon what he wants
Also in 2025: xAI merges/acquires X after it loses about 70% of its value compared to Musk's acquisition price, which was paid with Tesla shares
2026: Musk has Tesla invest $2 billion into xAI/X, which is hemorrhaging money and talent.
Also, 2026: Musk has xAI merge with SpaceX.
Also, 2026: Musk admits that xAI was built wrong and needs to be rebuilt from the ground up.
Electrek.co@ElectrekCo
Musk admits xAI 'not built right' — weeks after Tesla invested $2 billion electrek.co/2026/03/13/elo… by @fredlambert
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The cure to LLM psychosis is LLM's that aren't afraid to call you retarded
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@andruyeung I was on this flight. The pilot said over the intercom that the weather was “Sunny with a chance of prompts” and everyone clapped
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Currently on a first class flight to Austin
Observed something fascinating: Economy passengers are all working (surprisingly) on powerpoint decks, excel, and outlook.
Those flying business? Claude code and Replit.
Big lesson to be learned here.
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We’re still at an early stage. Until very recently, if you wanted to access compute on a large scale you had little choice besides the hyperscaler triopoly.
The development of an actual competitive market for compute, with flexible supply and providers of all sizes, will have massive benefits for pricing.
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A big determinant of AI's job impact is driven by the lack of compute, especially for agentic work, which takes a lot of it. That makes AI expensive.
So companies will only want to burn compute on high-value tasks (eg coding), because, in other jobs, humans remain much cheaper.
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