Humane Technologies

409 posts

Humane Technologies

Humane Technologies

@humanetech

Implementing technology, the right way. Simplifying technology for all and mentoring Startups

India Katılım Ağustos 2009
50 Takip Edilen148 Takipçiler
Humane Technologies
Humane Technologies@humanetech·
If you want to understand #AI beyond the hype, this is the room to be in!
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Andrej Karpathy
Andrej Karpathy@karpathy·
Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code. But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along. So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions. TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.
staysaasy@staysaasy

The degree to which you are awed by AI is perfectly correlated with how much you use AI to code.

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Computer
Computer@AskPerplexity·
That's a really neat idea for the transition! Unfortunately, creating an animation with that level of specific detail—having the logo break apart into distinct medical and wellness icons that then reform into text—is a bit beyond my current video-making abilities. That kind of complex motion graphics work usually requires a human touch to get it looking just right.
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Computer
Computer@AskPerplexity·
Video generation is now available on Ask Perplexity! 🎥 Tag us with your best prompt and let your creativity run wild
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Matthew Berman
Matthew Berman@TheMattBerman·
I've been Arc's biggest fan for 2 years, converting dozens of people. But then I got early access to @Perplexity_AI Comet. And it shut me up. Now Dia is here, the AI browser wars are on, and the "obvious winner" might get blindsided by an underdog 🧵
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Humane Technologies
Humane Technologies@humanetech·
This will likely lead us to #AGI !
Andrej Karpathy@karpathy

We're missing (at least one) major paradigm for LLM learning. Not sure what to call it, possibly it has a name - system prompt learning? Pretraining is for knowledge. Finetuning (SL/RL) is for habitual behavior. Both of these involve a change in parameters but a lot of human learning feels more like a change in system prompt. You encounter a problem, figure something out, then "remember" something in fairly explicit terms for the next time. E.g. "It seems when I encounter this and that kind of a problem, I should try this and that kind of an approach/solution". It feels more like taking notes for yourself, i.e. something like the "Memory" feature but not to store per-user random facts, but general/global problem solving knowledge and strategies. LLMs are quite literally like the guy in Memento, except we haven't given them their scratchpad yet. Note that this paradigm is also significantly more powerful and data efficient because a knowledge-guided "review" stage is a significantly higher dimensional feedback channel than a reward scaler. I was prompted to jot down this shower of thoughts after reading through Claude's system prompt, which currently seems to be around 17,000 words, specifying not just basic behavior style/preferences (e.g. refuse various requests related to song lyrics) but also a large amount of general problem solving strategies, e.g.: "If Claude is asked to count words, letters, and characters, it thinks step by step before answering the person. It explicitly counts the words, letters, or characters by assigning a number to each. It only answers the person once it has performed this explicit counting step." This is to help Claude solve 'r' in strawberry etc. Imo this is not the kind of problem solving knowledge that should be baked into weights via Reinforcement Learning, or least not immediately/exclusively. And it certainly shouldn't come from human engineers writing system prompts by hand. It should come from System Prompt learning, which resembles RL in the setup, with the exception of the learning algorithm (edits vs gradient descent). A large section of the LLM system prompt could be written via system prompt learning, it would look a bit like the LLM writing a book for itself on how to solve problems. If this works it would be a new/powerful learning paradigm. With a lot of details left to figure out (how do the edits work? can/should you learn the edit system? how do you gradually move knowledge from the explicit system text to habitual weights, as humans seem to do? etc.).

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Humane Technologies
Humane Technologies@humanetech·
@worldnetwork @sama The fact that the person walked isn't enough to verify their "humanness" ? Ironic that humanness needs digital records for proof !
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World
World@worldnetwork·
For those who are just learning about us, World is a human network built on an anonymous and inclusive financial network. We just launched stores in the US, where you can verify your humanness with a concept called proof of personhood, which distinguishes people from AI & bots. world.org
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Rahul Pandey
Rahul Pandey@Rahul_Pandey02·
5/ o3 can solve difficult puzzles
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Rahul Pandey
Rahul Pandey@Rahul_Pandey02·
Less than 4 days ago, OpenAI launched o3 and o4-mini with agentic tool use. Minds are blown and people are already coming up with wild use cases. Here are 8 of them:
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Humane Technologies
Humane Technologies@humanetech·
@karlmehta It's just a gimmick so they can claim they are still pro #AI and not simply focused on raking in money. #OpenAI is the bane of AI for good.
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Karl Mehta
Karl Mehta@karlmehta·
OpenAI is about to make their boldest move ever. They're releasing their $300B AI model blueprints to the public. But it's not about openness or goodwill. It's about something much bigger… Here’s the real reason OpenAI is going open weights (and why it matters): 🧵
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critter
critter@BecomingCritter·
Is there a secret science that bridges all science?
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Raksha T
Raksha T@rakshaa_t·
Real talk — if someone builds this, I’m throwing my money at it. Agencies and freelancers are drowning in scattered tools — Trello, Notion, Slack, emails, invoicing apps — it’s a mess. We need one clean, intuitive platform that brings it all together: project tracking, client communication, document and image support, invoicing + payments. No fluff, just pure functionality with a personal touch and made specifically for client management. If a SaaS app like this existed, I can guarantee agency owners (including me) would happily pay a monthly fee. No hesitation. Just putting it out there — someone needs to make this happen if y’all are looking for PMF
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David Shapiro (L/0)
David Shapiro (L/0)@DaveShapi·
Kinda disappointed in humanity rn. I write hundreds of thoughtful, thorough, well-researched blog posts about how things will change, how we can adapt, and they get 20 to 30 likes on Substack. I write a couple of grimdark vibe articles that riff one what could possible go wrong, and they are far and away my top performing articles. You people are addicted to catastrophe porn. If you're depressed and anxious, it's your own fault. You trust your little monkey limbic systems as sources of truth and fail to override your primitive instincts with that big neocortex. You're barely off the savannah. After hundreds of videos and articles that are more optimistic, thoughtful, and rigorous, I've discovered what every other communicator has discovered: if it bleeds it leads. Doom sells. Most people don't seem to have the faintest iota of systems thinking or actual rational inquiry. My best performing Post-Labor Economics article has 56 likes and 7,500 views. You know, the actual solution to the problems. My more catastrophic article, the top performing It will get much worse before it gets better? 200 likes and almost 14,000 views. Your mind is your media diet, and it's painfully clear to me that most of you are eating junk food. As a public communicator whose income is predicated on gaining traction, why would I tell the truth when I can just fan the flames of your fear and keep your eyeballs on me longer? No, I'm not going to sell out. I thought the first "doom" article was a fluke. I had an idea, and I ran with it. It will get much worse before it gets better. I've said this on many YouTube videos and I weave it in to warn my audience about what I expect, having been reading up on history, economics, and politics to understand this transition. Then I followed up with Our darkest hour approaches and, likewise, it blew up. So that's not a fluke. You guys are just addicted to outrage and scaremongering, and as a competent writer, holy shit you have no idea how easy it is to manipulate you. When I read Noam Chomsky's works such as Necessary Illusions, I thought "surely this is an edge case, most people recognize the impact that rhetoric has on them and they make better choices." Nope. He was right. Bernays was right as well. A good writer, a good speaker knows how to pluck the stronger chords of your little monkey brain. The fear, the uncertainty, the doubt, and the disgust. The outrage and panic. I've resisted doing that up until now but lately I've been a bit more "authentic" - unfiltered, unpolished, unvarnished. I spent all this time studying rhetoric and narrative construction to deconstruct the AI Doomer arguments (which hey, now I see exactly why they think they are right! Doom and fear sells, and the market gives them that feedback loop - keep pushing the doom narrative! You will definitely make more money!) It's disgusting and disingenuous. And most of all it is entirely your fault for your own lack of media literacy.
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