@beffjezos Yes, that is the trick. 15 IQ gaps, just enough to understand
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hermes
11.2K posts
hermes
@henrihamdanam
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Mars Katılım Kasım 2016
863 Takip Edilen452 Takipçiler
The trick is to have a 150 IQ CEO that hires 160 IQ's that then hire 180 IQ people.
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hermes retweetledi
The wealthiest person isn't the one with the most. It's the one who sleeps well, enjoys their days, feels aligned with their choices, isn't haunted by regrets or consumed by anxieties
Kpaxs@Kpaxs
Peace of mind is the highest wealth.
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More Tesla Diners coming
Tesla North America@tesla_na
Place your order while en route to Tesla Diner & it will be ready right after you arrive
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hermes retweetledi
"Economists speak in models, lawyers in clauses, administrators in processes, and citizens in emotions."
This is an interesting idea. Most people optimize for being right. Policy people have to optimize for being translatable because the idea has to survive contact with reality, and reality speaks in compromises.
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hermes retweetledi
Art is different than entertainment.
You can be entertained and forget about it the next day.
But art will have you thinking. It will make you uncomfortable. It will, at the very least, make you pause.
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There is nothing hot about a person who is nonchalant. You think you are at peace but really you’re dead inside.
YEARNING IS HOT
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There is something wrong with you if you are not yearning. To yearn is to be human.
Yearning is the signal that you are still alive inside, the ache that tells you there is a version of your life that hasn’t happened yet and that you care deeply about the gap between where you are and where you want to be. Yearning is the engine beneath every great love, every creative obsession, every 3am prayer whispered into the dark. The reason you don’t feel alive is because you are not yearning.
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hermes retweetledi
This is an INCREDIBLE post. Everyone working with AI needs to read IMMEDIATELY.
Becoming incredibly obvious that the most secure, best paying job in the next 1-3 years will be AI orchestrator - basically someone that coordinates AI agents to solve any problem a business has with EXTREMELY EFFICIENT token usage.
Whoever figures out how to squeeze 90%-95%+ Opus 4.6 performance, 90%+ of the time, at 1/10th the cost is going to make AN ABSOLUTE KILLING.
Aaron Levie@levie
Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise. Some quick takeaways: * Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow. * Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated. * Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs). * Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these. * Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs. * Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy. * Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems. * Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been. One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise. This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.
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hermes retweetledi
Iterative recursion is a hell of a drug.
Watching the Hausdorff dimension shift in real-time as simple affine transformations bloom into this frost-like symmetry.
It’s a gentle reminder that the universe doesn’t need complex blueprints; just a perfect set of initial conditions and the patience of n → ∞.
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@tomowenmorgan The fracturing is not dissipation, rather it is a fractalization. Many signs that there are gradients towards that end. As with fashion, trends are followed by counter trends, mass-culture is followed by it's counter.
Not one meaning, rather fractal meaningful expressions of One.
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All great points. Perhaps misses the biggest one: that meaning is found in relationship with a force western culture doesn’t believe exists….
sam lessin 🏴☠️@lessin
A bunch of people have written me back saying this was the best newsletter I have ever sent (flattering) ... so here it is for those who don't subscribe: AI Is Not a Labor Crisis. It Is a Meaning Crisis.
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@DavidSacks Yes, the boy who cried wolf. That's what they say.
In the fable itself, the wolves came and took his sheep, so we'll see,
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A growing number of people are wondering if Anthropic is the AI industry’s “boy who cried wolf.” If Mythos-related threats don’t materialize, the company will have a serious credibility problem.
Brian Roemmele@BrianRoemmele
“Anthropic's Claude Mythos isn't a sentient super-hacker, it's a sales pitch — claims of 'thousands' of severe zero-days rely on just 198 manual reviews” Get used to the “Effective Altruists” fear and self-hating multi-level marketing system, it is just starting.
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hermes retweetledi
AI use is all about being open-minded.
The people who benefit most will use AI as a tool to sharpen their thinking — not replace it.
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hermes retweetledi
hermes retweetledi
@tomowenmorgan This particular issue is interesting. It is akin petals of a rose. Yet roses were never about petals or looks, not even essences or scents. They are about the love they remind us of.
Your school is more essential than this.
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hermes retweetledi
Nikola Tesla being the greatest RF engineer in history and a batshit insane mystic are not two separate facts.
They are the same fact.
Cosmos Archive@cosmosarcive
"In a crystal we have clear evidence of the existence of a formative life principle, and though we cannot understand the life of a crystal, it is nonetheless a living being." -- Nikola Tesla
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