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Denji is having a terrible time with the Chainsawman world being...itself. It's gonna take a lot for him to figure how to- oh hey Reze. Denji: Jeff Barbie 🎙🔞 Reze: Cherrietti 🍒🍷 Models: theboobedone🔞 Commissions are open!, Yinyama3D🔞 Commissions Closed(1/1), Zai Sound: OpenNSFW

Dominica9

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Anthropic says the nerf only affects .03% of requests. That .03% is the people who change the world. emozilla and mephisto, co-founders of Nous Research: "The priority is to hide the fact that the classification is happening at all... how are people going to know when the model is being steered?" "This whole... it's only gonna be triggered by .03% of people. It'll barely ever happen." "How many people that are gonna change the world are there? .1% of the whole of everyone is a lot of people. Those are a lot of people." "You're basically saying there are critical outlier people that move mountains... they're the only ones we're blocking. They're the only ones whose results we're fudging."

Anthropic says the nerf only affects .03% of requests. That .03% is the people who change the world. emozilla and mephisto, co-founders of Nous Research: "The priority is to hide the fact that the classification is happening at all... how are people going to know when the model is being steered?" "This whole... it's only gonna be triggered by .03% of people. It'll barely ever happen." "How many people that are gonna change the world are there? .1% of the whole of everyone is a lot of people. Those are a lot of people." "You're basically saying there are critical outlier people that move mountains... they're the only ones we're blocking. They're the only ones whose results we're fudging."

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Inferact CEO Simon Mo says open and closed models are converging. The moat is environment: "What really differentiates open-weight models from closed-weight models? In the end, there's not much differentiation. It's more about the distribution strategy and go-to-market strategy. Capability-wise, I don't really see a big gap, not even today." "One of the most important parts is just the data. It's about who gets what data, and then what are the environments you are building to let the model improve on itself." "For Moonshot, they have built some of the best environments for front-end coding... the ability for this model to code and then see what the rendered code is, and then continue looping in this iterative process." "Now, this is about their environment to improve the model. It's not about just source data. It's not about where they get the data from. Rather, it's who can build the best environment and who can make the most optimization and algorithmic choices to leverage all this learning from this environment." "The next year is all gonna be about that: how open-weight model labs are differentiating and really getting the model to meet the real world." Simon Mo

Inferact CEO Simon Mo says open and closed models are converging. The moat is environment: "What really differentiates open-weight models from closed-weight models? In the end, there's not much differentiation. It's more about the distribution strategy and go-to-market strategy. Capability-wise, I don't really see a big gap, not even today." "One of the most important parts is just the data. It's about who gets what data, and then what are the environments you are building to let the model improve on itself." "For Moonshot, they have built some of the best environments for front-end coding... the ability for this model to code and then see what the rendered code is, and then continue looping in this iterative process." "Now, this is about their environment to improve the model. It's not about just source data. It's not about where they get the data from. Rather, it's who can build the best environment and who can make the most optimization and algorithmic choices to leverage all this learning from this environment." "The next year is all gonna be about that: how open-weight model labs are differentiating and really getting the model to meet the real world." Simon Mo

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learned a lot from this conversation with Simon Mo and Matt Bornstein. biggest takeaways for me: -there are a lot of reasons why we should like open-weight models. a lot of these arguments stop at handwavy things like "what if the labs stop releasing frontier models to the public" or "it's lower cost." but simon's position as lead maintainer of vLLM and CEO of Inferact give him authority to talk about some of the other, more interesting and concrete reasons to pay attention to open-weight models, namely that they allow end-users to calibrate latency / other performance metrics with way more customizability than what any of the frontier closed-source labs offer (and without the fear that your job might be met with a refusal at some random point where you're deep in a 2 hour job) -re: the above point...for this reason, a lot of US companies (inferact included!) choose to use open-weight models over their closed-source alternatives. this also isn't limited to internal workloads / research - on a recent a16z podcast the team at Decagon spoke about how something like 90% of their customer service ai agents run on open-weight models that they've fine-tuned. -we should really appreciate how many companies/teams came out researchers fascinated by the wave of very small open-weight models that were being distilled from e.g. gpt-3.5 and earlier models in 2022/2023 (prior to the release of chatGPT!). these small models motivated the development of pagedattention, which then led to vlmm/inferact (at other layers of the stack with similar origin stories, you can look at teams like openrouter or ollama). in other words, we have open-weight models to thank for a bunch of the orchestration infra we now rely on. i think yet another, indirect, way we can point to open-source/weight infra pushing the frontier forward. anyway, a lot more in this convo, it was a lot of fun!

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JENSEN HUANG: ELON HAS THE BEST AUTONOMOUS VEHICLE ALGORITHMS IN THE WORLD “Elon has a great advantage because, number one, his AI factory for his cars is fantastic and has a lot of NVIDIA gear in it. His AV algorithms are incredible—it's the best in the world. He also has a very large fleet of cars on the road, which allows him to collect a lot of data. I think he has a phenomenal position, having worked on this for a long time, and he's in a great position to take advantage of it.” Source: Tesla Owners Silicon Valley

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1,579,768 views • 1 year ago

1- “if he’s gonna play you gotta surround him with players that are gonna help him a little bit more…” 2- “rn they rely on him for a lot of things” 3- “(bring) a super fast guy that can spread the game that leaves room for son to float underneath that’s where i think korea needs to go” we’ve been saying all this since the world cup started so is this man also a sonfc? 😂it’s as simple as playing him at lw with either hyeongyu or guesung as the striker OR play him up top & partner him up with either hyeongyu or guesung they can play together. why is this simple math not being done…is myungbo & his staff all stupid?

1- “if he’s gonna play you gotta surround him with players that are gonna help him a little bit more…” 2- “rn they rely on him for a lot of things” 3- “(bring) a super fast guy that can spread the game that leaves room for son to float underneath that’s where i think korea needs to go” we’ve been saying all this since the world cup started so is this man also a sonfc? 😂it’s as simple as playing him at lw with either hyeongyu or guesung as the striker OR play him up top & partner him up with either hyeongyu or guesung they can play together. why is this simple math not being done…is myungbo & his staff all stupid?

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David Sacks: Anthropic Wants to Ban Open Source AI in America Listen to All-In to stay a few weeks (or months) ahead of everyone else David Sacks back in May: “I think where it's all leading to is an effort to ban open source models. There's a lot of breadcrumbs leading here. You look at a lot of the rhetoric around how models need to have guardrails, and that with open source models, the guardrails can be removed and therefore they're dangerous. You see this rhetoric already in Anthropic's blog posts. Any threat that they describe, they kind of go out of their way to take that shot at open source models. They're trying to create ideas or put predicate facts in the public record to justify an action later on. I think it's just a matter of time before they feel like they're at a position where maybe they can push for that type of ban directly.”

David Sacks: Anthropic Wants to Ban Open Source AI in America Listen to All-In to stay a few weeks (or months) ahead of everyone else David Sacks back in May: “I think where it's all leading to is an effort to ban open source models. There's a lot of breadcrumbs leading here. You look at a lot of the rhetoric around how models need to have guardrails, and that with open source models, the guardrails can be removed and therefore they're dangerous. You see this rhetoric already in Anthropic's blog posts. Any threat that they describe, they kind of go out of their way to take that shot at open source models. They're trying to create ideas or put predicate facts in the public record to justify an action later on. I think it's just a matter of time before they feel like they're at a position where maybe they can push for that type of ban directly.”

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87,353 views • 2 months ago

Zack Polanski at the Night Time Economy Summit 1/2: "Politics wasn't part of my plan, I spent a lot of time being an actor, and for anyone who's been a working jobbing actor it means you work in hospitality" "I spent a lot of time working as a barman, a waiter, as a night club promoter for a few years, and then spending a lot of time standing outside in the evenings promoting clubs" "Funnily enough, people say to me all the time: being a politician must be really hard?" "It's a responsible job, I take it responsibly" "But actually I've never had a harder job than working in hospitality, when people are having a great time around you and you're trying to remember someone's order, or you're trying to get something done" "Huge love for everyone working in hospitality and keeping things moving" Interviewer, "It's great to have someone in power who understands us and knows us"

Zack Polanski at the Night Time Economy Summit 1/2: "Politics wasn't part of my plan, I spent a lot of time being an actor, and for anyone who's been a working jobbing actor it means you work in hospitality" "I spent a lot of time working as a barman, a waiter, as a night club promoter for a few years, and then spending a lot of time standing outside in the evenings promoting clubs" "Funnily enough, people say to me all the time: being a politician must be really hard?" "It's a responsible job, I take it responsibly" "But actually I've never had a harder job than working in hospitality, when people are having a great time around you and you're trying to remember someone's order, or you're trying to get something done" "Huge love for everyone working in hospitality and keeping things moving" Interviewer, "It's great to have someone in power who understands us and knows us"

Farrukh

34,653 views • 7 months ago

Never bet against Cursor. Subagents solve so many issues between different models it's kind of insane, especially with Composer 1. Composer 1 can quickly gather context for a model like GPT-5.2 Codex, which otherwise could take on the order of 10 mins just to search files. Definitely one of the most underrated models right now. Now you get the benefits of it's speed, but can handoff to a smarter model at implementation. The video I attached is just a simple example, but you can see how long GPT 5.2 takes to gather context on a very simple problem. For harder problems, the search time grows significantly.

Never bet against Cursor. Subagents solve so many issues between different models it's kind of insane, especially with Composer 1. Composer 1 can quickly gather context for a model like GPT-5.2 Codex, which otherwise could take on the order of 10 mins just to search files. Definitely one of the most underrated models right now. Now you get the benefits of it's speed, but can handoff to a smarter model at implementation. The video I attached is just a simple example, but you can see how long GPT 5.2 takes to gather context on a very simple problem. For harder problems, the search time grows significantly.

ostyn

19,708 views • 8 months ago

Draymond responds to Stephen A for the last time 👀 "A lot of players having a relationship with you were facts, I supported you too until you started to disrespect players as if you were a player... so when people say your name, it's gonna happen, I'm here to tell you it's gonna happen... you're top of the business, what you've done and built up is incredible, the top of the top, but you can't just stand on the top of the mountain and throw rocks and then when a rock come flying back your way, you're like 'oh man, how they do that to me? I was over here throwing flowers."

Draymond responds to Stephen A for the last time 👀 "A lot of players having a relationship with you were facts, I supported you too until you started to disrespect players as if you were a player... so when people say your name, it's gonna happen, I'm here to tell you it's gonna happen... you're top of the business, what you've done and built up is incredible, the top of the top, but you can't just stand on the top of the mountain and throw rocks and then when a rock come flying back your way, you're like 'oh man, how they do that to me? I was over here throwing flowers."

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299,677 views • 2 months ago