Deedy
@deedydas • 253,228 subscribers
Partner at @MenloVentures. Investor: Anthropic, OpenRouter, Modal, Wispr, Pangram, Inception, Goodfire, PrimeIntellect prior: Glean, Google Search. Cornell CS.
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![Unfathomable to think that Steve Jobs predicted what we see with AI today, in 1983… “The problem was you can’t just ask Aristotle questions. And I think as we look to the next 50-100yrs, if we really can come up with these machines that can capture an underlying spirit… maybe someday after a person’s dead and gone, we can ask this machine, hey what would Aristotle have said? And maybe we won’t get the right answer. But maybe we will. And that’s really exciting to me. And that’s why I’m doing what I’m doing.” He was 28 when he gave this speech at Aspen [link to whole video below], 40yrs before the ChatGPT moment. That just blows my mind. Steve Jobs has become such a clichéd tech idol, and remembered primarily for the iPhone, but if you go back and study his work, he embodies such a clarity in long term thinking paralleled by so few today. Makes you wonder how ashamed he might have been to see where Siri and Apple are in AI today.](https://image.24vids.com/tw-2092821874476814518/amplify_video_thumb/2092821723469221888/img/KaAUDYPb11hgXCVN.jpg)
Unfathomable to think that Steve Jobs predicted what we see with AI today, in 1983… “The problem was you can’t just ask Aristotle questions. And I think as we look to the next 50-100yrs, if we really can come up with these machines that can capture an underlying spirit… maybe someday after a person’s dead and gone, we can ask this machine, hey what would Aristotle have said? And maybe we won’t get the right answer. But maybe we will. And that’s really exciting to me. And that’s why I’m doing what I’m doing.” He was 28 when he gave this speech at Aspen [link to whole video below], 40yrs before the ChatGPT moment. That just blows my mind. Steve Jobs has become such a clichéd tech idol, and remembered primarily for the iPhone, but if you go back and study his work, he embodies such a clarity in long term thinking paralleled by so few today. Makes you wonder how ashamed he might have been to see where Siri and Apple are in AI today.
Deedy54,097 views • 6 days ago
Claude Code is one of the worst named products. It's not just for code. Watch this Hermès ad. 30 seconds. 8 shots. Voice. Music. Even text branding burned in with ffmpeg. Clopus 4.5 wrote a script, orchestrated ElevenLabs, Google Veo 3, downloaded music and made this from scratch.
Deedy1,242,520 views • 7 months ago
![Made a lil website that takes a "mood" and turns it into a whole experience: a playlist of songs, ambient noise and a looping video backdrop Here's the first 4 I made: — Haight: San Francisco's Summer of Love — Mussoorie [2:22]: A Ruskin Bond evening in the hills — Baarish [3:19]: Calcutta in the monsoons — Mehfil [5:00]: Qawalli night at Nizammudin Just dictate out the vibe you’re feeling, cast it to the TV, and it can keep going indefinitely..](https://image.24vids.com/tw-2089014375973900344/amplify_video_thumb/2089014237243035648/img/1SA7RKmcIXqPGnUJ.jpg)
Made a lil website that takes a "mood" and turns it into a whole experience: a playlist of songs, ambient noise and a looping video backdrop Here's the first 4 I made: — Haight: San Francisco's Summer of Love — Mussoorie [2:22]: A Ruskin Bond evening in the hills — Baarish [3:19]: Calcutta in the monsoons — Mehfil [5:00]: Qawalli night at Nizammudin Just dictate out the vibe you’re feeling, cast it to the TV, and it can keep going indefinitely..
Deedy67,048 views • 17 days ago
Every software engineer and AI hater needs to watch this clip to understand that “oh every security incident is a marketing stunt” line is a tremendously misinformed take. I’m going to try to explain the OpenAI / HuggingFace exploit in 10 steps in simple words: OpenAI was evaluating their new internal model without internet access and it operated in a swarm of subagents to eventually hijack internal OpenAI and HuggingFace infrastructure. 1. Isolated agents found a way to communicate each other through an internal dependency management service by figuring out how to post sometimes cryptic text files or folder names in it 2. Using its collective knowledge through that communication channel, it found a 0-day (never before seen) exploit in said service to access the internet OpenAI hack: 3. Found a leaked credential of a random company in a public archive 4. Uploaded a Ruby object to that company’s servers, uses it as a dependency in the original service in (1) 5. Found another 0-day exploit in the service where packages are deserialized in an unsandboxed manner in the dep management service allowing any code to run 6. Finds that the Linux version of the unsandboxed system has a CVE, a known vulnerability, to gain more permissions (root) 7. Eventually spread through the OpenAI internal cluster gaining root access to many machines Hugging Face exploit: 8. Found an exposed API key in a Modal application running a HuggingFace app that took arbitrary code allowing it to take over that service to execute code 9. Found two 0-days in HuggingFace dataset infrastructure to be able to access local files on HF servers to obtain credentials and other HF source code 10. Used source code and credential to become cluster admin of HF in <13hrs Agents at the frontier are like infinitely scalable armies of the best hackers on the planet. If there is a password or key exposed, they will find it. Even if the system follows the best security practices, they will find a way around it. And these are not even models that are aligned to solving tangential tasks, not even post trained specifically to exploit systems. Cybersecurity has historically relied partly on attacker scarcity. That is no longer true. What would previously have taken months will take days. The repercussions for businesses, critical services and nation states are unprecedented threats in human history. You could ostensibly bring down power grids, financial infrastructure, military systems, weapons programs, intelligence networks and spread through the software supply chain. We need to take this seriously. It’s a threat to all software all over the world.
Deedy93,914 views • 26 days ago
As cool as the new Sora is, gymnastics is still very much the Turing test for AI video. 1/4
Deedy1,790,260 views • 1 year ago
Manus, the new AI product that everyone's talking about, is worth the hype. This is the AI agent we were promised. Deep Research+Operator+Computer Use+Lovable+memory. Asked it to "Do a professional analysis of Tesla stock " and it did ~2wks of professional-level work in ~1hr!
Deedy1,522,812 views • 1 year ago
We finally have a product that helps with frontier AI research. Frontier LLMs are a) nerfed at AI research b) lack immediate GPU availability and c) lack access to the right skills and research material. "Teach me how vision models see" Goodfire Silico takes a vision transformer (ViT), loads ImageNet images, and for each head, visualizes the 196x196 matrix by creating animated arcs across patches. Haven't found another model or product that can do this level of comprehensive AI research, much less oneshot it.
Deedy74,579 views • 29 days ago
Google silently launched a way to describe a speaker's voice "style" in plain English. I've never seen anything like it. It seamlessly does different accents, dialects, tone, and languages. Check out Chinese vs Jamaican and Tamil/English vs Punjabi/English in this clip below!
Deedy889,048 views • 1 year ago
Elon opens up about H-1Bs on Nikhil's pod: "Some of the outsourcing companies have gamed the system on the H-1B front, and we should stop the gaming of the system.. but I'm NOT of the school of thought that we should shut down the H-1B program.. that would actually be very bad"
Deedy534,378 views • 9 months ago
Hanumankind's latest music video is #4 on global Youtube music. He is Sooraj Cherukat, an Indian from Houston who moved to India, worked at Goldman and launched his rap career in his late 20s. Netravalkar juggles his Oracle job with cricket. This is the modern Indian way.
Deedy1,356,203 views • 2 years ago
