ChatGPT made $123k

PLUS: "Her" assistants are close? Runway's latest text to video model

Hey folks, today we’ve got voice assistants like ‘Her’ and Jarvis not that far away, ChatGPT used to win $123k in a hackathon, the job market impact of GPT, Runway’s text-to-video model, and lots more!

Let’s get to it.

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🤌 Our Picks

Highlights if you've only got 2 minutes

1/

As much as I love chatting with my Alexa, it’s great to see that we’re finally getting better voice assistants than Amazon’s and Apple’s. This guy has built a voice assistant that lets you converse with your emails to level-up productivity, and he’s used Eleven Labs to hook it up with a realistic (?) voice. The inclusion of GPT-3.5 and LLM chaining means you can ask it to do things like “Check for emails in the last month about X”, “Who was CCd on that last email?”, and even generate responses for you. If this sorta interactive tech can be integrated into your email apps, then there’ll be pretty awesome extensions to day-to-day products that’ll basically just be better than Alexa.

2/

Warning: I’m about to go all Gary Marcus and Eliezer Yudkowsky on you lot. Despite all the guardrails and safety nets that OpenAI has stuck onto ChatGPT, it looks like it can still be leveraged for some naughty business… The very aptly-named Pwn2Own Hackathon brings hackers together to take over industrial systems and guess what - the winners pocketed the $123k prize using ChatGPT for help. They say they used it to help them quickly chain a load of bugs together, allowing them to collect vulnerabilities and exploit the system. I’m starting to think there’s always gonna be some way around it, and they might always be easier than they first seem.

3/

We mentioned this in the research section yesterday, but it needs more of a highlight. In the paper, it mentions occupations most vulnerable to LLM impact: survey researchers, translators, writers, tax preparers - the list goes on… there’s a dive into ‘Exposure to GPTs by Job Zone’, essentially what requires a high degree of human interaction etc. GPT could affect 50% of the tasks necessary for around 19% of current jobs in the US. I think that’s exciting, not worrying.

4/

The model is the first publicly available text-to-video model on the market and can generate videos from text descriptions in a realistic and seamless manner. Although the demos are not realistic, it’s a big leap in the right direction for what’s to come. It’s bonkers that this is possible and getting better all the time. Gen-1 was only released on Feb 6th - the pace here is phenomenal.

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🛠️ Cool Tools & Demos

Product launches, updates and demos

  • Unschooler - AI-powered video courses for your personal career goal. (link) A thread from the founder on some of their product thinking.

  • Find your AI templates by Vercel - Discover templates for building AI applications. (link)

  • Scrip AI — AI TikTok, Reel & YT Shorts script writer. (link)

  • Using Stable Diffusion and ControlNet to re-do the Friends intro. (link)

  • Access GPT4 without a key or invitation on Hugging Face. (link)

  • Making a single-screen Mario game 100% using ChatGPT code and Replit. (link)

  • GPT-4 game experiment: convince the rasta man to give you his hat. (link)

  • Installing and operating a full ChatGPT knowledge set and interface fully trained on a local computer and it needs no Internet once installed. (link)

  • Building a Slack bot that uses GPT 3.5 that ANY team and workspace can use (built without code). (link)

  • Turn Voiceflow into a visual collaborative LangChain. (link)

  • Your friendly ZK bot contains the entirety of the ZKPodcast knowledge. (link)

  • 2-way voice conversations with Steve Jobs about anything. (link)

  • YouTube University - extract knowledge from any YouTube video. (link)

  • An experiment to test two different ways of quickly developing a frontend; Replit Bounty vs GPT-4. (link)

  • Hugging Face official Zapier integration - plug your apps with >100k machine learning models. (link)

  • Text to Video - Darth Vader visits Walmart. AI written, voiced, and animated 100% independent of a human. (link)

  • ChatGPT, but with your own data and prompts. (link)

🤓 Miscellaneous

News, podcasts, videos, blogs etc

  • Flow-Based Programming, a way for AI and humans to develop together. (link)

  • The case for the ai prompt engineer. (link)

  • Good news - ChatGPT would probably fail a CFA exam. (link) (no paywall here)

  • Inside Notion’s strategic bet on generative AI. (link)

  • GPT-4 beats humans at hard rhyme-based riddles. (link)

  • Numbers Station raises $17.5M to bring AI to your data stack. (link)

  • PitchBook’s new tool uses AI to predict which startups will successfully exit. (link)

  • Luma AI raised a $20M Series A led by Amplify Partners. (link)

  • Prompt engineering. (link)

  • OpenAI-powered app from Microsoft will instantly transcribe patient notes during doctor visits. (link)

  • GPT 4 and the uncharted territories of language. (link)

  • I asked ChatGPT to control my life for 24 Hours. (link)

  • Week in AI - GPT-4 launches, everyone else piles in. (link)

  • Glaze protects art from prying AIs. (link)

  • Meet the new face of Agility Robotics’ Digit. (link)

  • OpenAI is discontinuing Codex. (link)

  • Yoda and Harry Potter chatbots could be the next big legal battle. (link) (no paywall here)

  • GPT-4 and professional benchmarks: the wrong answer to the wrong question. (link)

  • What are foundation models, and how can they help implement AI at scale? (link)

  • You can leave secret messages to Bing Chat in web pages. (link)

🎓 Learn

How-to’s and resources

  • Using GPT-4, Replit, MidJourney, Claude, and a team of AI assistants to create a 3D space runner from scratch with ZERO knowledge of Javascript or 3D game programming. (link)

  • How to develop a chatbot using LangChain library and OpenAI. (link)

👋 Too many links?! I created a database for all links mentioned in these emails. Refer 1 friend using this link and I'll send over the link database.

🔬 Research

Published research papers

  • Legs as Manipulator - Pushing quadrupedal agility beyond locomotion. (link)

  • SeiT - Storage-efficient vision training with tokens using 1% of pixel storage. (link)

  • Rotating without seeing - Towards in-hand dexterity through touch. (link)

  • StyleRF - Zero-shot 3D style transfer of neural radiance fields. (link)

  • Towards end-to-end generative modeling of long videos with memory-efficient bidirectional transformers. (link)

  • 3D concept learning and reasoning from multi-view images. (link)

  • CLIP Goes 3D - Leveraging prompt tuning for language-grounded 3D recognition. (link)

  • PanGu-Σ -Towards trillion parameter language model with sparse heterogeneous computing. (link)

  • A comprehensive capability analysis of GPT-3 and GPT-3.5 series models. (link)

  • Zero-1-to-3 - Zero-shot one image to a 3D object. (link)

  • Localising object-level shape variations with text-to-image diffusion models. (link)

  • SVDiff - Compact parameter space for diffusion fine-tuning. (link)

  • SKED - Sketch-guided text-based 3D editing. (link)

📰 Unclassifieds

Short, sponsored links 

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