Benjamin Brown

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Benjamin Brown

Benjamin Brown

@BennyArkhive

Entrepreneur in Media and Tech. Deep House Soldier. Started out corporate (UMG/ Spotify/ Accenture) now getting it done on my own

London Katılım Mayıs 2013
4.5K Takip Edilen1.5K Takipçiler
G, MD
G, MD@DrBeavisAI·
@FundamentEdge Wow he used to be anti AI calling it all hype. What changed ???
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Brett Caughran
Brett Caughran@FundamentEdge·
A big pivot from Ken Griffin on AI: “Number one is, in the last few months, there has been a step change in the productivity of the AI toolkit. It is profoundly more powerful than it was just nine months ago. And for us at Citadel, that has allowed us to unleash a much broader array of use cases for AI. And it has been really interesting to watch, to be blunt, work that we would usually do with people with masters and PhDs in finance over the course of weeks or months being done by AI agents over the course of hours or days. These are not these are not mid-tier white collar jobs. These are like extraordinarily high skilled jobs being, I'm going to pick a word, automated by agentic AI. And I gotta tell you, I went home one Friday actually fairly depressed by this because you could just see how this was going to have such a dramatic impact on society. When you witness it in your own four walls, when you see work that used to be man years of work being done in days or weeks, it's like, wow, like that's the first time I've seen real impact in our four walls.” This echoes my own experience with agents and the conversations I am having with students, friends & clients. The toolkit has dramatically transformed and it feels like in finance, for the first time, AI is real.
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Jaynit
Jaynit@jaynitx·
Elon Musk reveals the brutal math behind why a single hour of his time is worth $100 million "Tesla this year will do over $100 billion in revenue, so that's $2 billion a week. If I make slightly better decisions I can affect the outcome by a billion dollars. The marginal value of a better decision can easily be in the course of an hour $100 million" "You have to look at it on a percentage basis. If you look at it in absolute terms, I would never get any sleep. I'd just keep working and work my brain hotter, trying to get as much as possible out of this meat computer"
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Jon Hernandez
Jon Hernandez@JonhernandezIA·
“Code is becoming management" Former Google CEO Eric Schmidt says programming has already changed more in 6 months than in the last 20 years. Top engineers are no longer writing most of the code themselves. They’re managing fleets of AI agents with objectives, verification, and long-running tasks. The leverage moved from typing to orchestration.
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Benjamin Brown
Benjamin Brown@BennyArkhive·
@tomfgoodwin YES ! Been saying this a lot lately and been laughed at. But I still believe it
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Tom Goodwin
Tom Goodwin@tomfgoodwin·
Quite a lot of things that AI is amazing at Could also be solved by an intranet
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Alastair Thomson
Alastair Thomson@FinanceDirCFO·
He won't be the last CEO to come to this conclusion, but I'm mystified why it's such a big surprise to CEOs that a robot which, on a good day, operates at about the standard of a bottom quartile human, is incapable of being as creative as their humans were...
Business Insider@BusinessInsider

"We hire a lot of artists and designers, and our app is very high-craft when it comes to design," Duolingo CEO Luis von Ahn said. "We're just not seeing AI get to the level of creativity or the level of polish that our top people have, by any means." bit.ly/3PmaHzJ

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Rob Freund
Rob Freund@RobertFreundLaw·
ChatGPT allegedly shares your chat query topics, user IDs, and email addresses with Google and Meta, according to a new class action lawsuit filed today.
Rob Freund tweet mediaRob Freund tweet media
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BSAT Properties
BSAT Properties@BSAT_Properties·
I was on a train in Tokyo. We stopped between stations. Announcement in Japanese, then in English: "We apologize for the delay. We will resume shortly." The delay was maybe 3 minutes. Not a big deal. When the train started moving again, another announcement: "We sincerely apologize for the delay. We were stopped for 3 minutes and 20 seconds. This is unacceptable. Thank you for your patience." Three minutes and twenty seconds. They measured it exactly. And called it unacceptable. When I got off at my stop, there were station staff on the platform bowing and handing out delay certificates. I took one out of curiosity. It was an official document stating that the train had been delayed by 3 minutes and 20 seconds, signed and stamped. The staff member said in English "for your employer. So they know the delay was not your fault." I said I'm a tourist, I don't need it. He looked confused. "But the delay affected you. You deserve an apology." Three minutes. They were treating a three-minute delay like a major incident. Later I mentioned this to a Japanese friend. They said "oh yes, delay certificates are normal. Trains are supposed to be exactly on time. If they are late, they must apologize." I said three minutes isn't late, it's nothing. My friend said "in Japan, three minutes is late. On time means on time. Not approximately on time." They said the train company probably investigated why there was a 3-minute delay. "They will find the cause and fix it so it doesn't happen again." I kept the certificate. It's framed in my apartment now. A reminder that somewhere in the world, people care about three minutes. © 6IX.
BSAT Properties tweet media
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Benjamin Brown
Benjamin Brown@BennyArkhive·
@cryptopunk7213 but that's now the business model. The fees for change management is where the money is
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Ejaaz
Ejaaz@cryptopunk7213·
anthropic is going after the $300B consulting sector with a new $1.5B consulting arm that seeks to put claude into every mid-size company this is exactly what deloitte, mckinsey, accenture do... but anthropic is cutting them out. ruthless but imo the economics make sense: > anthropic will send applied AI engineers to private equity portfolio companies to create custom-claude solutions... > its a genius model: blackstone alone owns 250+ companies generating $300B in rev, imagine if claude doubles that and takes a fee why? anthropic's biggest revenue earner is enterprise, their CFO: "Enterprise demand for Claude is significantly outpacing any single delivery model." > anthropic teamed up with blackstone, goldman sachs and hellman & friedman, each putting up $300M (ZERO consulting firms in the cap table lol) > private equity become anthropic's distribution model for enterprise. sound familiar...? > thats because openai announced a similar venture 5 months ago but the explicit difference is anthropic is a major stakeholder in this new venture brutal for consultants tbh
Ejaaz tweet mediaEjaaz tweet media
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Benjamin Brown
Benjamin Brown@BennyArkhive·
@conorsen well precisely, and those price hikes that are incoming to justify their business models. Ouchie
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Conor Sen
Conor Sen@conorsen·
I burned through all my tokens in a session on Claude Pro this morning in maybe 10 minutes trying to pull data out of one PDF — there’s just no way there’s enough compute to disrupt a meaningful number of jobs this year.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Former Goldman Sachs executive Raoul Pal: "Now, knowledge is worth zero. For centuries, lawyers, doctors, or any top knowledge-based professionals can demand big payment because of scarcity of knowledge. Now, AI has created infinite knowledge."
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Benjamin Brown
Benjamin Brown@BennyArkhive·
@kareem_carr agreed but this has been obvious for some time. I find it more incredible that this isn't understood more widely.
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Dr Kareem Carr
Dr Kareem Carr@kareem_carr·
My main take on AI is that it's far more expensive than big tech is implying. AI pipelines cost vastly more in money, time, and organizational attention to maintain than people are currently acknowledging, and adoption will be slower than expected mainly due to these costs.
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Benjamin Brown
Benjamin Brown@BennyArkhive·
@tomfgoodwin I wholeheartedly agree but it's not just the tech mob. It's the advertisers who are going to give Meta $250bn this year alone..for shit ads no one wants
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Benjamin Brown retweetledi
Tom Goodwin
Tom Goodwin@tomfgoodwin·
How many times do we need to tell tech people The job of ads is to MAKE people interested. Not to FIND interested people and take credit for something that would have happened. They just don't get it. The job of ads is also largely not to drive immediate sales, but increase what people will pay and for how long.
Dustin@r0ck3t23

Mark Zuckerberg just quietly executed the marketing profession. He didn’t announce it. He described it. Zuckerberg: “The AI is actually probably going to be able to find who is going to be interested in your product better than you can.” He is not pitching a better ad tool. He is telling you that your intuition about your own customer is now inferior to his algorithm. For twenty years, the internet was built on demographics. Age. Location. Income. Founders built careers defending customer personas in boardrooms. Zuckerberg is telling you to burn them. Zuckerberg: “Don’t constrain who we’re going to reach.” When you tell the system who to target, you are not helping it. You are crippling it. Every audience filter a marketer applies is a ceiling disguised as a strategy. Human targeting is no longer a competitive advantage. It is a tax. And the takeover does not stop at the audience. It swallows the creative itself. Zuckerberg: “We’re going to be able to come up with like 4,000 different versions of your creative and just test them and figure out which one works best.” No agency on Earth can test four thousand variations in real time. The machine does not have taste. It has math. And math does not lose to intuition at scale. For a generation, distribution was the skill. When every company on Earth plugs into the same omniscient ad engine, distribution stops being a weapon. It becomes infrastructure. Like bandwidth. Like cloud compute. Nobody wins because they have better access to AWS. Soon, nobody will win because they have a better media buyer. Which leaves exactly one variable on the board. Zuckerberg: “You just focus on building the best product.” For a decade, mediocre products survived on superior distribution. Bad products with great funnels printed money. That arbitrage is dead. When distribution becomes a utility, the product has nowhere left to hide. Marketing was the mask. Zuckerberg just pulled it off. Most companies are about to find out they never had a product. They had a campaign.

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Tom Goodwin
Tom Goodwin@tomfgoodwin·
It feels like we’re in a data is the new oil cycle I’m not one to think every valuable problem can be solved by more data. Most startups failed because the idea was crap. Studying their Jira tickets could be utterly pointless
Iain Martin@_IainMartin

AI labs are paying hundreds of thousands of dollars to buy email, Slack and Jira threads from dead startups as feedstock for ‘reinforcement learning gyms,’ which specialize in using defunct company data to build simulated work environments forbes.com/sites/annatong…

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Dear Son.
Dear Son.@DearS_o_n·
Name a huge scam that has been normalised?
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Suhas
Suhas@zuess05·
Serious question. For the last 10 years, society told everyone "just learn to code" to escape the middle class. Now Claude writes the code. What exactly is the career advice for an 18-year-old right now?
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Benjamin Brown
Benjamin Brown@BennyArkhive·
@tomfgoodwin I thought they gave different responses every time for precisely the same reason (i.e.. the ouput was based on time you sent the request and the info it trawled and therefore not logic)
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This Week in AI
This Week in AI@ThisWeeknAI·
"You should really treat having your own agent as having your own child. It's not one-click automation, you're raising it." Demi Guo (@demi_guo_ ), CEO of @pika_labs on why agents need taste, not just prompts. Lin Qiao (@lqiao), CEO of @FireworksAI_HQ on why 95% of the world's data is still locked inside enterprises and why open-source models are converging with frontier. They join @jason on This Week in AI Episode 9: 00:00 Intro to Lin Qiao and Demi Guo 08:43 95% of private data locked in enterprises 16:03 The interface for creation is a human-like agent 22:07 The death of middle management 28:03 Taste, judgment, and why "slop" is the real risk 33:40 Agents aren't tools, they're children you raise 39:36 How close is open-source to frontier? 53:04 Agents as self-expression 63:17 Meta's Muse model goes closed-source
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