Oleg Lungu @instructD

Joined October 2010

Tweets

90
Followers

44
Following

669
Likes

384

Oleg Lungu @instructD

2 months ago

@jordan_ross_8F OPENCLAW

0 0 0 6 0

View Details

If the goal of education is for students to use what they learn beyond the classroom, contextual interference forces learners to determine what remains when everything else changes. And that may be one of the most important things education can do. kirschnered.nl/2026/02/09/ano…

4 20 46 6K 26

View Details

Oleg Lungu @instructD

4 months ago

@matt_elevenlabs 11B

0 0 1 41 0

View Details

Oleg Lungu @instructD

6 months ago

@gothburz Brilliant!

0 0 0 0 0

View Details

Oleg Lungu @instructD

6 months ago

@carlvellotti Great resource for those not familiar with what Nano Banana can do!

0 0 1 76 0

View Details

Carl Vellotti 🥞 @carlvellotti

6 months ago

Nano Banana is CRAZY in Claude Code & Cursor. So I built a FREE course for PMs: (⚠️ Comment "nano" & I'll DM you the course) 🍌 Nano Banana is amazing for PM work: → Beautiful, personalized user journey maps → Hand-drawn wireframe to polished mockup in seconds → Architecture diagrams to communicate technical concepts → App store graphics for launch day — But using it IN Cursor / Claude Code changes absolutely EVERYTHING. Literally no one understands this yet. This is the only course that teaches this method. 🤖 The AI runs & manages image creation for you: → Helps you write better prompts → Generates many variations at once → Clones and recreate style of ANY image → Helps you build a reusable system It's the most powerful (it's really SO AMAZING) image generating technology of all time paired with the most powerful AI agents. You won't believe what you can do. And at the very least, it's extremely fun tech. I included lots of little Easter eggs 🥚 –– Here's exactly what's in the course: Intro to Image Gen: 👋 First generation (setup + your first wow moment) 🎨 Understanding basics (aspect ratios, resolution) ✨ Consistency & style (prompting that actually works) 📚 Building your style database (100+ PM prompts) PM Use Cases: 👤 Users & product visuals (personas, journeys, mockups) 🏗️ Strategy & architecture (diagrams, matrices, roadmaps) 🚀 Marketing & launch (app store graphics, social ads) It's financially irresponsible for me to keep making these things free, but... It's FREE for a limited time, just: ⚠️ RT + comment "Banana" & I'll DM you the 🔗

42 12 24 5K 21

View Details

Oleg Lungu @instructD

8 months ago

@carlvellotti CC

0 0 0 1 0

View Details

Carl Vellotti 🥞 @carlvellotti

8 months ago

Every PM should be using Claude Code. So I built a HUGE course for you to learn Claude Code... IN Claude Code! 🔹 Complete guide 🔹 Make PRDs, analyze data, create decks Soon, I'll sell it for $149. For the next 24h: FREE! Follow + RT + comment "CC" & I'll DM it.

2K 2K 2K 463K 3K

View Details

Oleg Lungu @instructD

9 months ago

@BharukaShraddha Data

0 0 0 1 0

View Details

Oleg Lungu @instructD

9 months ago

@BharukaShraddha Data

0 0 0 17 0

View Details

Oleg Lungu @instructD

9 months ago

@_rohit_tiwari_ Agentic Design Patterns

0 0 0 16 0

View Details

Oleg Lungu @instructD

10 months ago

@_rohit_tiwari_ Agents

0 0 0 8 0

View Details

Oleg Lungu @instructD

12 months ago

@clcoding AI

0 0 0 18 0

View Details

Python Coding @clcoding

12 months ago

AI is difficult to learn, but not anymore! Introducing "The Ultimate #AI ebook "PDF. You will get: • 299+ pages • Save 100+ hours on research And for 24 hrs, it's 100% FREE! To get it, just: • Like and retweet • Comment " AI " • DM me in the message for the link

2K 1K 4K 462K 3K

View Details

Oleg Lungu @instructD

a year ago

@MakerThrive 👋

0 0 0 6 0

View Details

Andrej Karpathy @karpathy

a year ago

New 3h31m video on YouTube: "Deep Dive into LLMs like ChatGPT" This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental models of how to think about their "psychology", and how to get the best use them in practical applications. We cover all the major stages: 1. pretraining: data, tokenization, Transformer neural network I/O and internals, inference, GPT-2 training example, Llama 3.1 base inference examples 2. supervised finetuning: conversations data, "LLM Psychology": hallucinations, tool use, knowledge/working memory, knowledge of self, models need tokens to think, spelling, jagged intelligence 3. reinforcement learning: practice makes perfect, DeepSeek-R1, AlphaGo, RLHF. I designed this video for the "general audience" track of my videos, which I believe are accessible to most people, even without technical background. It should give you an intuitive understanding of the full training pipeline of LLMs like ChatGPT, with many examples along the way, and maybe some ways of thinking around current capabilities, where we are, and what's coming. (Also, I have one "Intro to LLMs" video already from ~year ago, but that is just a re-recording of a random talk, so I wanted to loop around and do a lot more comprehensive version of this topic. They can still be combined, as the talk goes a lot deeper into other topics, e.g. LLM OS and LLM Security) Hope it's fun & useful! youtube.com/watch?v=7xTGNN…

767 3K 20K 2.4M 15K

View Details

Dylan Wiliam @dylanwiliam

a year ago

It's here! "Developing Curriculum for Deep Thinking: The knowledge revival" is an open-access book that explains why knowledge needs to be at the heart of the curriculum: bit.ly/41XMBzf