Ariel Gamiño

¡Un honor y un orgullo ver nuestra cultura representada en Harvard Square! Gracias @AriadnaAyala por la invitación.

@adamsilverman @crewAIInc @AgentOpsAI Looking forward to this!

Launching a free @crewAIInc course on building reliable Agents. Would love feedback before it goes live. Comment + DM me for early access. 200+ videos on how to build with @crewAIInc + @AgentOpsAI

My team is actively hiring software engineers: Pay: 190,000 - 310,000 USD Level: New grad/Mid-level Location: Seattle/Bay Area Tech stack: Go, Python, Typescript -Direct referrals offered -AI/ML roles open -Free breakfast/lunch/dinner -Summer 2025 internships -RTs appreciated

@karpathy Beam me up. I am also a believer in the power of AI to truly transform education in ways we haven't even begin to imagine.

⚡️ Excited to share that I am starting an AI+Education company called Eureka Labs. The announcement: --- We are Eureka Labs and we are building a new kind of school that is AI native. How can we approach an ideal experience for learning something new? For example, in the case of physics one could imagine working through very high quality course materials together with Feynman, who is there to guide you every step of the way. Unfortunately, subject matter experts who are deeply passionate, great at teaching, infinitely patient and fluent in all of the world's languages are also very scarce and cannot personally tutor all 8 billion of us on demand. However, with recent progress in generative AI, this learning experience feels tractable. The teacher still designs the course materials, but they are supported, leveraged and scaled with an AI Teaching Assistant who is optimized to help guide the students through them. This Teacher + AI symbiosis could run an entire curriculum of courses on a common platform. If we are successful, it will be easy for anyone to learn anything, expanding education in both reach (a large number of people learning something) and extent (any one person learning a large amount of subjects, beyond what may be possible today unassisted). Our first product will be the world's obviously best AI course, LLM101n. This is an undergraduate-level class that guides the student through training their own AI, very similar to a smaller version of the AI Teaching Assistant itself. The course materials will be available online, but we also plan to run both digital and physical cohorts of people going through it together. Today, we are heads down building LLM101n, but we look forward to a future where AI is a key technology for increasing human potential. What would you like to learn? --- @EurekaLabsAI is the culmination of my passion in both AI and education over ~2 decades. My interest in education took me from YouTube tutorials on Rubik's cubes to starting CS231n at Stanford, to my more recent Zero-to-Hero AI series. While my work in AI took me from academic research at Stanford to real-world products at Tesla and AGI research at OpenAI. All of my work combining the two so far has only been part-time, as side quests to my "real job", so I am quite excited to dive in and build something great, professionally and full-time. It's still early days but I wanted to announce the company so that I can build publicly instead of keeping a secret that isn't. Outbound links with a bit more info in the reply!

My team is actively hiring software engineers: Pay: 190,000 - 280,000 USD Level: New grad/Mid-level Location: Seattle/Bay Area Tech stack: Go, Python, TypeScript -Direct referrals offered -AI/ML roles available -Free breakfast/lunch/dinner -On-site gym -RTs appreciated

We're hiring! We're looking for people who're interested in (language/multimodal/action/foundation) model training , (learning) agents, and evaluation. Please let me know if you're interested.

* Language is low bandwidth: less than 12 bytes/second. A person can read 270 words/minutes, or 4.5 words/second, which is 12 bytes/s (assuming 2 bytes per token and 0.75 words per token). A modern LLM is typically trained with 1x10^13 two-byte tokens, which is 2x10^13 bytes. This would take about 100,000 years for a person to read (at 12 hours a day). * Vision is much higher bandwidth: about 20MB/s. Each of the two optical nerves has 1 million nerve fibers, each carrying about 10 bytes per second. A 4 year-old child has been awake a total 16,000 hours, which translates into 1x10^15 bytes. In other words: - The data bandwidth of visual perception is roughly 16 million times higher than the data bandwidth of written (or spoken) language. - In a mere 4 years, a child has seen 50 times more data than the biggest LLMs trained on all the text publicly available on the internet. This tells us three things: 1. Yes, text is redundant, and visual signals in the optical nerves are even more redundant (despite being 100x compressed versions of the photoreceptor outputs in the retina). But redundancy in data is *precisely* what we need for Self-Supervised Learning to capture the structure of the data. The more redundancy, the better for SSL. 2. Most of human knowledge (and almost all of animal knowledge) comes from our sensory experience of the physical world. Language is the icing on the cake. We need the cake to support the icing. 3. There is *absolutely no way in hell* we will ever reach human-level AI without getting machines to learn from high-bandwidth sensory inputs, such as vision. Yes, humans can get smart without vision, even pretty smart without vision and audition. But not without touch. Touch is pretty high bandwidth, too.

AI will create 3.7 million jobs by 2025 Companies are paying $200k-$900k for AI roles. Here are top 10 online courses with to master AI in next 28 days:👇

Build Agentic Workflows from Scratch 🤖🔁 It’s tempting for an AI engineer to use an off-the-shelf agent, but building your own agents shouldn’t be scary (and limited to AI research papers)! In our brand-new video tutorial we show you how to build an agent in two intuitive steps: 1️⃣ Define a single step of an agent execution: This is just a DAG that modifies state along the way. Chain together a prompt, LLM, tool calling, output parsing/processing. Conditionally decide whether to call a tool or return. 2️⃣ Plug this DAG into an agent worker: An agent worker will repeatedly call this DAG until completion! All agentic flows can be decomposed this way, making it simple to reason about. In our tutorial we show you how to build a ReAct agent from scratch. Check it out: youtube.com/watch?v=T0bgev… Colab: colab.research.google.com/drive/1jRzrECJ…

@tunguz If you flip it horizontally and diffuse it, it's even crazier!

That’s crazy

I'm looking for: - PhD students - postdocs - and potentially interns and research assistants (like a post-doc for those who haven't got a PhD) Potential post-docs should reach out ASAP and strongly consider applying for funding from FLI; this would need to happen quite soon (probably within 1-2 weeks) for admin reasons. grantinterface.com/Process/Apply?…

Microsoft launched a free course for beginners to learn AI. The 12-week, 24 lesson curriculum is all publicly available on GitHub! Here's what you'll learn & links to the lessons:

The UAE Minister of AI @OmarSAlolama points to a historical precedent of premature technology regulation motivated by fear: the ban of the printing press in 1515 by Sultan Selim I led to the decline of the Ottoman Empire. “We overregulated a technology, which was the printing press. It was adopted everywhere on Earth. The Middle East banned it for 200 years. The calligraphers came to the sultan and said: ‘We’re going to lose our jobs, do something to protect us’—so, job loss protection, very similar to AI. The religious scholars said people are going to print fake versions of the Quran and corrupt society—misinformation, second reason. It was fear of the unknown that led to this fateful decision." google.com/amp/s/fortune.…

My team at NVIDIA is hiring. We 🩷 you all from OpenAI. Engineers, researchers, product team, alike. Email me at linxif@nvidia.com. DM is open too. NVIDIA has warm GPUs for you on a cold winter night like this, fresh out of the oven.🩷 I do research on AI agents. Gaming+AI, robotics, multimodal LLMs, open-ended simulations, etc. If you want an excuse to play games like Minecraft at work - I'm your guy. I'm shocked by the ongoing development. I can only begin to grasp the depth of what you must be going through. Please, don't hesitate to ping me if there's anything I can do to help, or just say hi and share anything you'd like to talk about. I'm a good listener.

@anothercohen This is how I am explaining it: It's a Novel AI, I mean a NovelA!

Me trying to explain the OpenAI drama from this weekend to my non terminally online coworkers tomorrow morning at standup

What a Novel AI. I mean NovelA!

Passionate about creating global impact? Seize the chance with DRCLAS Brazil Office Fellowship! 🌍 Immerse yourself in an enriching exchange experience! ⏳ Fellowship duration: 6 months to 1 year 📆 Application deadline: November 15th Apply now loom.ly/2tx4ogE

A reminder that people can disagree about important things but still be good friends.

According to LLaVA, I can't travel in time with a DeLorean. mmhh

What and inspiring historical event to witness. Dr. Gay embodies the promise of America - that someone from a modest background can rise to lead one of the world's premier universities. She inspires hope for an even brighter future at Harvard and the world. @Harvard @HarvardExt