Ariel Gamiño @gamino
Machine Learning Software Engineer. Working on NLP problems and excited about all things AI and its applications. Austin Joined January 2008-
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¡Un honor y un orgullo ver nuestra cultura representada en Harvard Square! Gracias @AriadnaAyala por la invitación.
agradecemos la presencia de Santiago Crehueras académico de Harvard University, Conie Adkin miembro del consejo de ex-alumnos de Harvard University, Ariel Gamiño, presidente del consejo de ex- alumnos de extensión universitaria de Harvard. De Atlixco, Puebla, para el mundo.
@adamsilverman @crewAIInc @AgentOpsAI Looking forward to this!
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.
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.
Join us in shaping the future of AI! AI Frontiers is a lab inside Microsoft Research with a mission to unlock new AI capabilities and solve real-world problems. We are hiring researchers and engineers in our teams based in Redmond and NYC. Apply here: microsoft.com/en-us/research…
* 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.
This is an essential point people seem to misrepresent.
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!
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 [email protected]. 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!
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Bojan Tunguz @tunguz
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4.3M Followers 2K Following Stocks/Options/Crypto/Market News/Tools. Not advice @Polymarket partner Open a tastytrade account: https://t.co/wGf2ZdlXpw Discord: https://t.co/0xJ9e0ZYYG More: https://t.co/nsxZlPV0pC
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