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You don't need a trillion-parameter model that understands physics to answer a customer support call. But that's not even the main reason we build small models. The real one: LLMs store everything. Literally everything all of it sitting in the weights. Humans don't work that way, and your agent... show more

Sudarshan Kamath

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19,584 views • 8 days ago •via X (Twitter)

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Geoffrey Hinton says LLMs are immortal. Destroy the hardware, save the weights. Rebuild them later, and “the very same being comes back to life.” But humans don't work that way. We're bound to our substrate. Not even Kurzweil gets a backup.

Geoffrey Hinton says LLMs are immortal. Destroy the hardware, save the weights. Rebuild them later, and “the very same being comes back to life.” But humans don't work that way. We're bound to our substrate. Not even Kurzweil gets a backup.

vitrupo

323,189 views • 1 year ago

🚨 REP. ANNA PAULINA LUNA NAILS IT: "There is NO reason we need to be taking in people that - A, don't want to assimilate; and B, I don't even know if they can CONTRIBUTE to the society we have." "We need to pause EVERYTHING."

🚨 REP. ANNA PAULINA LUNA NAILS IT: "There is NO reason we need to be taking in people that - A, don't want to assimilate; and B, I don't even know if they can CONTRIBUTE to the society we have." "We need to pause EVERYTHING."

Eric Daugherty

164,763 views • 8 months ago

😼🔮💵📈 $GME “Now it's all about the transformation and that cash pile is growing, it seems to be growing, will they raise more money? We'll see, I don't know - I see it. But...if people, if you just change one factor and that's that you don't think Ryan Cohen is a doofus, alright? If you don't think he's a doofus and he's not a fool, if you don't think that - and all of a sudden, suddenly they're sitting on billions of dollars in cash, and you actually think not only is he not a doofus but - he's extremely talented in that he has the capability to turn this around, even if you don't agree with that, even if you don't believe it, that's fine, if you just pause for a moment and think about that - I think it really changes your mindset so that becomes the bet - that becomes the bet.”

😼🔮💵📈 $GME “Now it's all about the transformation and that cash pile is growing, it seems to be growing, will they raise more money? We'll see, I don't know - I see it. But...if people, if you just change one factor and that's that you don't think Ryan Cohen is a doofus, alright? If you don't think he's a doofus and he's not a fool, if you don't think that - and all of a sudden, suddenly they're sitting on billions of dollars in cash, and you actually think not only is he not a doofus but - he's extremely talented in that he has the capability to turn this around, even if you don't agree with that, even if you don't believe it, that's fine, if you just pause for a moment and think about that - I think it really changes your mindset so that becomes the bet - that becomes the bet.”

Swami

32,025 views • 1 year ago

9 out of 10 multi-agent projects never leave demo mode Not because the model is bad. Because the structure is missing. Most people who try to build [ a team of AI agents ] end up with one agent talking to itself in five tabs. The agents don't share context → Don't divide work → Don't know what the others are doing. > stage 1: if your agent doesn't have a real loop, observe, act, iterate, you have a long prompt, not an agent > stage 2: subagents need isolated context, the orchestrator never reads their raw transcript, only the summary > stage 3: the orchestrator plans and delegates, the moment it executes, it drowns in details that belong inside subagents > stage 4: without a shared task list it's not a team, it's five agents duplicating each other's work in parallel > stage 5: a permissions file is what lets you sleep, the model cannot bypass it because the rule lives outside the model a team of AI agents is not more model, it is more structure the most ignored stage in every demo that died: - durability... when a 50-step task crashes at step 47 and starts from zero, that's not a model failure. that's a missing write-to-disk call

9 out of 10 multi-agent projects never leave demo mode Not because the model is bad. Because the structure is missing. Most people who try to build [ a team of AI agents ] end up with one agent talking to itself in five tabs. The agents don't share context → Don't divide work → Don't know what the others are doing. > stage 1: if your agent doesn't have a real loop, observe, act, iterate, you have a long prompt, not an agent > stage 2: subagents need isolated context, the orchestrator never reads their raw transcript, only the summary > stage 3: the orchestrator plans and delegates, the moment it executes, it drowns in details that belong inside subagents > stage 4: without a shared task list it's not a team, it's five agents duplicating each other's work in parallel > stage 5: a permissions file is what lets you sleep, the model cannot bypass it because the rule lives outside the model a team of AI agents is not more model, it is more structure the most ignored stage in every demo that died: - durability... when a 50-step task crashes at step 47 and starts from zero, that's not a model failure. that's a missing write-to-disk call

Shadow Nick

14,683 views • 2 months ago

.President Donald J. Trump: "See that plane? That's in perfect, mint condition... Everything should look that way. We work with the military; we do a real job. Look at the polish. Look at the way everything is beautiful — and that's the way we want D.C." DECLINE IS A CHOICE!

.President Donald J. Trump: "See that plane? That's in perfect, mint condition... Everything should look that way. We work with the military; we do a real job. Look at the polish. Look at the way everything is beautiful — and that's the way we want D.C." DECLINE IS A CHOICE!

Rapid Response 47

282,050 views • 1 month ago

Your agents suck when using the web because 85% of it doesn't have an API. Browserbase gives them everything they need to do work online. Leading AI companies like Ramp, Lovable, and Clay trust us to power agents that do real work on behalf of real people. With a single API key, your agent gets everything it needs to navigate the wild web: browsers, search, fetch, identity, a sandbox runtime, and model gateway. Stop waiting on integrations, build agents that can browse and interact with the web just like humans.

Your agents suck when using the web because 85% of it doesn't have an API. Browserbase gives them everything they need to do work online. Leading AI companies like Ramp, Lovable, and Clay trust us to power agents that do real work on behalf of real people. With a single API key, your agent gets everything it needs to navigate the wild web: browsers, search, fetch, identity, a sandbox runtime, and model gateway. Stop waiting on integrations, build agents that can browse and interact with the web just like humans.

Paul Klein IV

1,728,778 views • 3 months ago

Elon Musk Elon Musk on the importance of physics: “I am a big believer in physics. Everything else is a recommendation, pretty much, but physics is the law. Like if you break physics... the rocket will explode and the car will not work. So you have to adhere to physics in order to make cars that work, to make rockets that work, to make space internet work. Because if you're wrong, then reality is a very harsh judge. Reality is merciless. Because if you make a device that doesn't work, violates physics, it simply doesn't work, and then you rocket blows up and the satellites don't work and the cars break. In order to make the technology work, you must have an extremely rigorous pursuit of the truth. Because, otherwise reality will bite you in the a**.”

Elon Musk Elon Musk on the importance of physics: “I am a big believer in physics. Everything else is a recommendation, pretty much, but physics is the law. Like if you break physics... the rocket will explode and the car will not work. So you have to adhere to physics in order to make cars that work, to make rockets that work, to make space internet work. Because if you're wrong, then reality is a very harsh judge. Reality is merciless. Because if you make a device that doesn't work, violates physics, it simply doesn't work, and then you rocket blows up and the satellites don't work and the cars break. In order to make the technology work, you must have an extremely rigorous pursuit of the truth. Because, otherwise reality will bite you in the a**.”

Colene Copeland-Kruszynski👾

53,721 views • 9 months ago

🔧 Bring Your Own Model — and Let Agent Forge Handle the Rest! John plugged in his own custom model — and in minutes, it was up and running as a fully deployed AI Agent. With Agent Forge, you’re not limited to prebuilt tools. You bring the intelligence. We automate everything else. Real models. Real-time deployment. Zero-code friction. 🔗 Try it here:

🔧 Bring Your Own Model — and Let Agent Forge Handle the Rest! John plugged in his own custom model — and in minutes, it was up and running as a fully deployed AI Agent. With Agent Forge, you’re not limited to prebuilt tools. You bring the intelligence. We automate everything else. Real models. Real-time deployment. Zero-code friction. 🔗 Try it here:

AITECH CLOUD NETWORK

32,798 views • 11 months ago

The worst feature of most products is one of our best features: customer support. It's incredible how much better a product becomes when you have an incredibly helpful, friendly, experienced, and deeply knowledgeable team on-call, for you, whenever you need them. Huge bonus. We don't outsource support. We don't see it as a cost center. Outstanding support is an asset, not a liability. A number of our support folks have been with us for over a decade! That's longer than most tech companies have even been in business! And the same team that works on Basecamp works on HEY. It's all the same A-team. We WANT you to contact us. We WANT to talk to you. Get in touch. You'll see the difference.

The worst feature of most products is one of our best features: customer support. It's incredible how much better a product becomes when you have an incredibly helpful, friendly, experienced, and deeply knowledgeable team on-call, for you, whenever you need them. Huge bonus. We don't outsource support. We don't see it as a cost center. Outstanding support is an asset, not a liability. A number of our support folks have been with us for over a decade! That's longer than most tech companies have even been in business! And the same team that works on Basecamp works on HEY. It's all the same A-team. We WANT you to contact us. We WANT to talk to you. Get in touch. You'll see the difference.

Jason Fried

301,653 views • 1 year ago

Are humanoids the largest addressable market in history? Andrew Kang says "to understand that you have to look at what is the total market for human labor. It's something like 50% of GDP, some people put it at $40 trillion or $60 trillion." "The way that I would think about it is a humanoid can do everything that a human can do in the future, but it doesn't need to rest, it doesn't need to take breaks, it doesn't need to go on vacation. It's not going to quit on you, so you don't need to hire and retrain somebody else."

Are humanoids the largest addressable market in history? Andrew Kang says "to understand that you have to look at what is the total market for human labor. It's something like 50% of GDP, some people put it at $40 trillion or $60 trillion." "The way that I would think about it is a humanoid can do everything that a human can do in the future, but it doesn't need to rest, it doesn't need to take breaks, it doesn't need to go on vacation. It's not going to quit on you, so you don't need to hire and retrain somebody else."

Anthony Pompliano 🌪

109,720 views • 2 months ago

small local model that falls apart in bloated agents like openclaw just runs like a wild horse in hermes agent. and that's not even my line, someone else called it that, i've just been quietly pointing people at this harness for months because it held up on everything i threw at it, 3b models all the way to one trillion params. watch this happen on my own machine. i pointed hermes agent at a local http endpoint, gemma 4 12b on my 3090 llama.cpp server, and it auto-detected the model and started working immediately. no config wrestling, no broken tool calls, no babysitting the output format, i typed in a url and it just went. the whole clip is exactly that, start to finish, no errors, no retries, butter smooth. and the tool calling, the one thing that quietly breaks most local setups, works here like it's nothing. it's not the model that's flaky, it's the harness around it. hermes agent is the first agent i've run that actually gets that right. one url, one local model on one card, and it runs like a wild horse.

small local model that falls apart in bloated agents like openclaw just runs like a wild horse in hermes agent. and that's not even my line, someone else called it that, i've just been quietly pointing people at this harness for months because it held up on everything i threw at it, 3b models all the way to one trillion params. watch this happen on my own machine. i pointed hermes agent at a local http endpoint, gemma 4 12b on my 3090 llama.cpp server, and it auto-detected the model and started working immediately. no config wrestling, no broken tool calls, no babysitting the output format, i typed in a url and it just went. the whole clip is exactly that, start to finish, no errors, no retries, butter smooth. and the tool calling, the one thing that quietly breaks most local setups, works here like it's nothing. it's not the model that's flaky, it's the harness around it. hermes agent is the first agent i've run that actually gets that right. one url, one local model on one card, and it runs like a wild horse.

Sudo su

27,339 views • 2 months ago

🚨 AWESOME! PRESIDENT TRUMP: "Take a look at that plane. See that plane? That's in perfect mint condition!" "Take a look at that. Look at that. Isn't that amazing? And EVERYTHING should look that way." 🔥🔥 "We work with the military. We do a real job. If you look at the polish, everything is beautiful." "And that's the way we want DC." 🇺🇸

🚨 AWESOME! PRESIDENT TRUMP: "Take a look at that plane. See that plane? That's in perfect mint condition!" "Take a look at that. Look at that. Isn't that amazing? And EVERYTHING should look that way." 🔥🔥 "We work with the military. We do a real job. If you look at the polish, everything is beautiful." "And that's the way we want DC." 🇺🇸

Eric Daugherty

47,869 views • 1 month ago

Once you don't focus on stuff to close the gaps of insecurity in your soul, you stop acting in a manner that doesn't match your moral compass and principles … This loop is everything and I hope you realize impressing those who you don't even like is the seed that leads to actions that you don't admire in yourself.

Once you don't focus on stuff to close the gaps of insecurity in your soul, you stop acting in a manner that doesn't match your moral compass and principles … This loop is everything and I hope you realize impressing those who you don't even like is the seed that leads to actions that you don't admire in yourself.

Gary Vaynerchuk

18,897 views • 5 months ago

SITUATION EXPLAINED: Richard Sutton, the father of reinforcement learning, just launched a new lab. The goal: a trillion-parameter agent that learns in real time on 20 watts. • Sutton wrote The Bitter Lesson in 2019, its core claim: general methods that leverage computation beat hand-crafted approaches, by a large margin • His new lab, Oak Lab, builds on the "big world hypothesis": the world is too big for any model to pre-learn everything, so trying to is wasted effort by construction • Their "batch size one" algorithm updates from a single live experience as it arrives, instead of training on giant curated datasets... no massive pretraining run at all • Claimed result: multiple orders of magnitude less compute and energy than existing methods • The holy grail number: a trillion-parameter agent that learns and plans in real time on 20 watts... roughly what the human brain runs on • It's built for agentic tasks specifically, not as a general-purpose LLM replacement sof 𓋹: "It's possible that we end up looking back at LLMs as an evolution of search... not to hate on LLMs, they're very useful, they're awesome. But eventually I think that's what it ends up looking like."

SITUATION EXPLAINED: Richard Sutton, the father of reinforcement learning, just launched a new lab. The goal: a trillion-parameter agent that learns in real time on 20 watts. • Sutton wrote The Bitter Lesson in 2019, its core claim: general methods that leverage computation beat hand-crafted approaches, by a large margin • His new lab, Oak Lab, builds on the "big world hypothesis": the world is too big for any model to pre-learn everything, so trying to is wasted effort by construction • Their "batch size one" algorithm updates from a single live experience as it arrives, instead of training on giant curated datasets... no massive pretraining run at all • Claimed result: multiple orders of magnitude less compute and energy than existing methods • The holy grail number: a trillion-parameter agent that learns and plans in real time on 20 watts... roughly what the human brain runs on • It's built for agentic tasks specifically, not as a general-purpose LLM replacement sof 𓋹: "It's possible that we end up looking back at LLMs as an evolution of search... not to hate on LLMs, they're very useful, they're awesome. But eventually I think that's what it ends up looking like."

MTS

83,455 views • 22 days ago

Everyone's still typing at their agents. Ask. Wait. Read. Ask again. Audio huddles on Buzz flip that. You pull the agent into a live call and it already has the context of your entire chat. Voice is where the ideas actually come out of your head. But that's scratching the surface. Free startup idea: FaceTiming your agents. The models can already see your screen, hear you, and act on your machine. Somebody just has to put all three in one window. That's the holy grail of the future of work. Somebody build it. I'll be the first customer.

Everyone's still typing at their agents. Ask. Wait. Read. Ask again. Audio huddles on Buzz flip that. You pull the agent into a live call and it already has the context of your entire chat. Voice is where the ideas actually come out of your head. But that's scratching the surface. Free startup idea: FaceTiming your agents. The models can already see your screen, hear you, and act on your machine. Somebody just has to put all three in one window. That's the holy grail of the future of work. Somebody build it. I'll be the first customer.

The Startup Ideas Podcast (SIP) 🧃

13,217 views • 7 days ago

Satya Nadella, CEO of Microsoft, says every company now runs on two kinds of capital, and leaking one of them is a one-way door: "This economy is going to be shaped going forward by both human capital and, let's call it, this token capital. That is true for Microsoft, that is true for a new startup, that's going to be true for any bank that's been in existence for 100 years." "The interplay between human capital and token capital, and compounding the returns of it, is what you need to do." "What is the tacit knowledge of an enterprise or a firm? It's the unique ways that you're able to operate, pass judgment, have taste." "The model, in some sense, is able to extract that tacit knowledge through human trajectories, and then code it in a set of weights in a model." "Every enterprise now needs to be more mindful about that interplay of humans and their digital estate working together, those trajectories training the models that they keep as IP versus leak it." "Because if you leak it, it's a one-way door. You're done in some sense." The moat was never the data sitting in your warehouse. It was the judgment your people apply to it, and AI now turns that judgment into weights you either own or hand away. Treat your tacit knowledge like a patent, not a prompt. The firms that pipe a hundred years of taste into someone else's frontier model are trading a permanent edge for a quarter of convenience.

Satya Nadella, CEO of Microsoft, says every company now runs on two kinds of capital, and leaking one of them is a one-way door: "This economy is going to be shaped going forward by both human capital and, let's call it, this token capital. That is true for Microsoft, that is true for a new startup, that's going to be true for any bank that's been in existence for 100 years." "The interplay between human capital and token capital, and compounding the returns of it, is what you need to do." "What is the tacit knowledge of an enterprise or a firm? It's the unique ways that you're able to operate, pass judgment, have taste." "The model, in some sense, is able to extract that tacit knowledge through human trajectories, and then code it in a set of weights in a model." "Every enterprise now needs to be more mindful about that interplay of humans and their digital estate working together, those trajectories training the models that they keep as IP versus leak it." "Because if you leak it, it's a one-way door. You're done in some sense." The moat was never the data sitting in your warehouse. It was the judgment your people apply to it, and AI now turns that judgment into weights you either own or hand away. Treat your tacit knowledge like a patent, not a prompt. The firms that pipe a hundred years of taste into someone else's frontier model are trading a permanent edge for a quarter of convenience.

Karl Mehta

34,573 views • 1 month ago

.Adam Carolla: California refuses to "pop the trunk" on their voter rolls: "What is it that you guys are hiding that you don't want to cooperate? And their answer would be nothing." "My answer is what's in the trunk, right? So you either pop the trunk or you call your attorney." "And if you call your attorney, something's in the fcking trunk that you don't want us to see." Accurate.

.Adam Carolla: California refuses to "pop the trunk" on their voter rolls: "What is it that you guys are hiding that you don't want to cooperate? And their answer would be nothing." "My answer is what's in the trunk, right? So you either pop the trunk or you call your attorney." "And if you call your attorney, something's in the fcking trunk that you don't want us to see." Accurate.

Western Lensman

13,491 views • 11 days ago

Michael Levin says we don't build minds. We build pointers -- interfaces into a Platonic space of possible intelligences. We're wired to notice minds like ours, and blind to everything else along the spectrum. Language models may not think the way we do, but something else may be coming through. “You pull down more than you put in.”

Michael Levin says we don't build minds. We build pointers -- interfaces into a Platonic space of possible intelligences. We're wired to notice minds like ours, and blind to everything else along the spectrum. Language models may not think the way we do, but something else may be coming through. “You pull down more than you put in.”

vitrupo

34,551 views • 1 year ago

David Deutsch says all computation from humans to LLMs shares the same fundamental power: the universal Turing machine The difference is only in programs and outputs. But AGI is different; we don't even understand it in principle. "so the true sign would be a theory, not a machine"

David Deutsch says all computation from humans to LLMs shares the same fundamental power: the universal Turing machine The difference is only in programs and outputs. But AGI is different; we don't even understand it in principle. "so the true sign would be a theory, not a machine"

Haider.

11,720 views • 11 months ago