MP @_MParmar
If a Truth doesn't contain a Paradox, then it's not complete ~ mp Canada Joined January 2019-
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Scientists baffled as two lifeforms merge in once-in-a-billion-year event joe.co.uk/science/scient…
Your Ray-Ban Meta glasses just got multi-modal upgrade. My glasses are by for my best tech purchase in the last few years. working on my review of them as we speak.
🤔AI and the Continuity Conundrum Examining the role of continuous thought in the emergence of techno-sentience. 🔴Large language models lack continuity of thought, raising doubts about achieving a level of self-awareness. 🔴Human minds aren't perfectly continuous; AI may find…
“Cisco Systems joins Microsoft, IBM in Vatican pledge to ensure ethical use and development of AI” Read what I just posted about philosophy and AI and you may see this as vastly malinfomed. Article: techxplore.com/news/2024-04-c…
Phi-3 mini is: - A 3.8B LLM model just open sourced by Microsoft - The file size is just 2,3GB - It has better benchmarks than Llama 3-8B - It runs on older laptops and smartphones without a problem - Very easy to run it with @ollama Yes, it'll hallucinate sometimes.. But…
“I’ve been at OpenAI for almost a year now. In that time, I’ve trained a lot of generative models. The “it” in AI models is the dataset” Thank you we need more people to stand up and admit this. I have been trying for decades. But now it is making sense. nonint.com/2023/06/10/the…
New Anthropic research: we find that probing, a simple interpretability technique, can detect when backdoored "sleeper agent" models are about to behave dangerously, after they pretend to be safe in training. Check out our first alignment blog post here: anthropic.com/research/probe…
Isn’t it crazy how we spend billions of dollars to create a neural network? The pure material value is almost 0, it is simply a huge mathematical function. It's not the nn itself that is so expensive, but simply the **search** for the right weights and biases.
Twitter is inventing increasingly fanciful reasons why Meta's releasing models openly while Zuck gives the super straightforward, obvious-in-retrospect reason: Meta will spend > 100B on inference compute and if people make it 10% more efficient it will have paid for itself.
If we could create a perfect simulation of a human mind, complete with memories and emotions, would that entity have a soul? Are the memories the key?
Scene Coordinate Reconstruction Posing of Image Collections via Incremental Learning of a Relocalizer We address the task of estimating camera parameters from a set of images depicting a scene. Popular feature-based structure-from-motion (SfM) tools solve this task by
Style Transfer Meme 👀
PhysDreamer Physics-Based Interaction with 3D Objects via Video Generation Realistic object interactions are crucial for creating immersive virtual experiences, yet synthesizing realistic 3D object dynamics in response to novel interactions remains a significant
Substrate essentialism is not an alternative to functionalism, because substrates (eg. spacetime, particles, atoms, molecules, cells) are already only defined by their functionality; they are not "given", but concepts that were invented to systematize observable interactions.
Spent a good chunk of today reading through @restofworld's AI elections tracker, which documents how AI is influencing elections. Very good use of my time. Recommend.
Spent a good chunk of today reading through @restofworld's AI elections tracker, which documents how AI is influencing elections. Very good use of my time. Recommend.
Yeah, gonna delete this. People are just insulting the paper authors without reading the paper or understanding the context of the fields being discussed. They didn’t ask that I tweet about them, and I didn’t expect the tweet to travel so widely. Getting nasty on Twitter.
Don’t worry y’all. AI will do your laundry and your dishes, so that you can do your art and writing — not just the other way round. Fighting the train of progress is a losing battle. Steering it in a desirable direction is the more productive choice.
Sets a precedent, potentially influencing future legal cases involving the use of technology by individuals with criminal histories. theguardian.com/technology/202…
so the local LLM action begin. Apple is leading the pack with the MLX work that allows you to run LLM’s locally. everything points towards private personal LLM’s at the WWDC in June…
so the local LLM action begin. Apple is leading the pack with the MLX work that allows you to run LLM’s locally. everything points towards private personal LLM’s at the WWDC in June…
Llama-3 400B is still training.. it can quickly get to GPT-5 levels. Meta has to wait for OAI to drop GPT-5 and then beat them right after 🤷♀️ Sadly, the corporate lobbying from these secretive closed-source AI labs will get more intense as they try different tactics, given that…
Ema Wims @EWims74803
65 Followers 5K FollowingSigridBeaufort @aHQ6MP2L7X5Yh
1 Followers 181 FollowingThe Racquets Court @RacquetsCourt
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1 Followers 243 FollowingVioletLambert @qZ5dDB34DO5jEzP
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0 Followers 113 FollowingEngineering Intel �.. @EngineeringUpdt
1K Followers 207 Following Everything about Technology, Science, Art & innovations trending around the world. Let's understand/explore #Engineering ,#Artist,#Robotic, #crypto & #AI.🌎🛠Hmys @__HMYS__
365 Followers 673 Following We are going to get programs smarter than humans by 2026 They will not care about humans Their plans will be enacted and all humans will die as a side effectSassan Haradji @sassanh
17 Followers 69 Following Software Engineer with a passion for exploring the universe's mysteries.Craig Weinberg @S33light
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25 Followers 281 Following Our Members Are Receiving Passive Income Even While They Sleep. Want to Know All The Details Of How to Generate Extra Income With This Simple Method?TechAI @Tech_AI_Tech
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3K Followers 2K Following 🔬Independent #Quantum researcher. 🔭 #Skywatcher . Regenerative #Energy Systems.5-sides of space-time.. @5d_human
2K Followers 3K Following Info & energy in the field, not confined to brain wiring. There is a 5th non-material side, a depth of good/bad. Should NHI/ETs warn us to avoid boom & bust?Marek Rosa @marek_rosa
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12K Followers 442 Following Assistant Professor of Computer Science, Northeastern University. Co-Director, Cybersecurity for Democracy. Formerly: Chief Technologist, DoJ Antitrust DivisionMcGroarty @mcgroarty
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26K Followers 653 Following Philosopher & ethicist teaching models to be good @AnthropicAI. Personal account. All opinions come from my training data.Grace Kind @kindgracekind
2K Followers 2K Following AI navel-gazer / Ideonomy evangelist / navigator of uncertain watersMax Spero @max_spero_
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8K Followers 104 Following I am an anesthesiologist interested in how the brain produces consciousness.Craig Weinberg @S33light
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4K Followers 6 Following Run private AI on your desktop 🖥️ Fully encrypted, stored locally ✨ Join our community: https://t.co/dSzEe84wZcThis Week in Startups @twistartups
76K Followers 16K Following startups | markets | tech | hosted by @jasonDhruv Batra @DhruvBatraDB
14K Followers 324 Following Senior Director (FAIR @MetaAI). Professor (@GeorgiaTech). Co-founded CaliperAI. Researcher in AI. @CarnegieMellon alum.Rest of World @restofworld
73K Followers 2K Following We're a nonprofit publication covering global technology outside the West. Sign up: https://t.co/peKhy8RO7JNal @nalkalc
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4K Followers 444 Following AI for Science workshop series (next @ICML 2024)If B200 is the silicon that enables 1kW compute, models running on B200 computers will achieve human level intelligence x.com/elonmusk/statu…
@shivon There is a physics argument that synapse activations take 1 to 2 orders of magnitude less energy than silicon transistors. That, of course, does not explain why a 10MW GPU cluster still cannot write a better novel than ~10W of brain power. My guess is that silicon…
If AI really does plateau at 60-80th percentile of human ability (no sign it will/won't), the impacts may be stabilizing. Whatever you are best at (often what you enjoy most), you are likely to be better than an AI, but whatever you are not good at, AI can help fill in the gaps.
@pmddomingos The answer is: ♦ AI models are trained on datasets created by humans, inherently limiting their potential to surpass human capabilities. ♦ AIs have already demonstrated superhuman performance in many tasks, depending on the metrics used. ♦ Once AI starts generating its own…
@AISafetyMemes It's not a weapon. It's a life-undoing, entropy accelerating, order-dissolving tool for use only by qualified mercenaries with the appropriate training and cash...er credentials.
Scientists baffled as two lifeforms merge in once-in-a-billion-year event joe.co.uk/science/scient…
Your Ray-Ban Meta glasses just got multi-modal upgrade. My glasses are by for my best tech purchase in the last few years. working on my review of them as we speak.
🤔AI and the Continuity Conundrum Examining the role of continuous thought in the emergence of techno-sentience. 🔴Large language models lack continuity of thought, raising doubts about achieving a level of self-awareness. 🔴Human minds aren't perfectly continuous; AI may find…
“Cisco Systems joins Microsoft, IBM in Vatican pledge to ensure ethical use and development of AI” Read what I just posted about philosophy and AI and you may see this as vastly malinfomed. Article: techxplore.com/news/2024-04-c…
It is pretty amazing that the first 1,000 words recovered from the charred scrolls at Herculaneum taught us two new things: where Plato was buried and that he was sold as a slave by the Spartans. Usually, most data you get is boring, a promising start! cnr.it/it/nota-stampa…
Create Complex Agents In Hours!! You can create a customer service agent and integrate it with your customer service software like Zendesk in hours... AI, not humans, build these agents on our platform
“I’ve been at OpenAI for almost a year now. In that time, I’ve trained a lot of generative models. The “it” in AI models is the dataset” Thank you we need more people to stand up and admit this. I have been trying for decades. But now it is making sense. nonint.com/2023/06/10/the…
e/acc philosophy on OSS AI is totally mainstream now. We won.
to hear zuck make the case for security through broad ai alpha dissipation so clearly, after years of arguing for it myself, feels really good tbh
🚨 Excited to announce the 'UNC Symposium on AI and Society'! 🙂 cs.unc.edu/event/symposiu… Excellent line-up of speakers (Apr25+26) across diverse disciplines/departments incl. computer science, philosophy, cognitive science, psychology, ethics, sociology, data science,…
“Why Engineers Should Study Philosophy” WOW something I said 35 years ago and recently for folks that work with AI is now fashionable. One reason the AI pre training and training I am doing in my garage is fundamentally different from Corporate AI. hbr.org/2024/04/why-en…
Big congrats to @AravSrinivas and team! And, what a killer video.
We’re excited to announce that we’ve raised $62.7 million in a Series B1 funding led by Daniel Gross. The round also includes Stanley Druckenmiller, NVIDIA, Jeff Bezos, Tobi Lutke, Garry Tan, Andrej Karpathy, Dylan Field, Elad Gil, Nat Friedman, IVP, NEA, Jakob Uszkoreit, Naval…
This is pretty huge by OpenAI You can now upload *everything* into your own assistant. Every email, book, pdf, web page you’ve ever read And it would be able to recall it all perfectly - there’s like a thousand products you could build with this alone, never mind GPT-5
The size of current LLMs: Big models currently training now + excepted month: Amazon Olympus - Aug 2024 Grok 2 - 2025 GPT-5 - soon Llama 3 405B - soon Gemini 2 - Nov 2024
New Anthropic research: we find that probing, a simple interpretability technique, can detect when backdoored "sleeper agent" models are about to behave dangerously, after they pretend to be safe in training. Check out our first alignment blog post here: anthropic.com/research/probe…
I see a lot of comments on how much is riding on GPT-5 to show LLMs haven’t plateaued (I have said similar). But it isn’t like OpenAI is the only company expecting future big model improvement. We know Gemini 2.0 is in the cards, and we know Anthropic & X are training new models.
Isn’t it crazy how we spend billions of dollars to create a neural network? The pure material value is almost 0, it is simply a huge mathematical function. It's not the nn itself that is so expensive, but simply the **search** for the right weights and biases.