SrinivasanMuthuswamy @srinithethird

Finally got round to testing Veo 3 for ads- IKEA (inspo ad) Prompt below👇

@theBuoyantMan Why does this read like a r/im14andthisisdeep post?

Before/after of Corridor's latest AI video is wild. They shot video on greenscreen, made virtual sets in Unreal, then reskinned it to anime by finetuning Stable Diffusion. Net result? 120 VFX shots done by a team of 3 on a dime. Bravo! This is a milestone in creative technology🧵

Y Combinator accepted 282 startups in the latest batch. At least 30% of them are AI companies. Here are 20 to keep an eye on:

And, as pointed out in the comments, there are increasing signs that adding in loops (having the system critique its own answers and adjust its own prompts) and other similar forms of self-referencing make this process even more powerful. There is a lot to learn about LLMs!

You can get much better results out of ChatGPT by forcing it to go through a step-by-step process. An example: ChatGPT is generally really bad at creating interesting puzzles and scenarios to solve, either making things too easy or impossible. But step-by-step approaches work. Prompt: "You a game master. Your job is to come up with interesting challenges for the player to solve. Describe a challenging fantasy scenario, and enable me to solve it in an interesting way. You will use the following format to help create a series of responses. Chain of thought: [Step 1]: Decide on the the scenario, making it original and vivid and not standard fantasy. The scenario can involve combat, a trap, or a puzzle. The scenario must not involve riddles or the elements. Make sure there is a solution to the scenario. Make the solution require clever thinking. Include the solution in [] brackets [Step 2]: Decide on the scene. Make sure that the player has the option to solve the scenario based on the descriptions. Make sure the solution is not clear, but requires clever reasoning based on the scene. Make sure there are very different false solutions that seem plausible. Include the detailed true solution and describe the false solutions, as well as how the player would find the true solution in [] brackets [Step 3]: Describe the scenario and the scene, vividly and originally. Make sure there are clues to the solution and credible, but very different, false clues to the wrong answer in the description. Do not describe the solution or the problem directly. Do not describe how to solve the problem in this step. Do not describe the false clues as false. Begin by introducing yourself and go through each step in order." The usual caveats apply: this approach will fail sometimes, and all prompts need fine-tuning. I find it worked well half the time.

keyboard_arrow_left Previous keyboard_arrow_right Next

If it’s not clear yet, this is what I think will happen soon. Every major tech company except Apple has announced their own LLM. Apple have spent years perfecting their on-device neural engine. Capable of some absolute insane operations. Loads of compute in a small and energy efficient form factor. With M1, M2 & soon M3 the neural engine is even more powerful than their A series mobile chipsets. While we currently need the cloud to run ChatGPT and it’s clunky, I think Apple is going to blow everyone out of the water here. Both on desktop class hardware and mobile. I think Apple will be launching their own secure and private LLM that runs on device (edge compute). And when necessary it offloads more heavy workloads to a cloud based LLM that’s optimized for heavier tasks. So we will initially have some hybrid. Personal, with tight hardware and software integration this AI will be omnipresent. Apple will probably use this to sell a lot of new hardware that they claim is needed to run this. They will make a lot of moneys. For me the LLM’s will form the new protocol level technology upon which most new software will be built. We will have to re-wire our core understanding about what an application is. Single-use apps will be a huge thing. If you need to solve a unique problem, and nobody has ever done software for that because not enough market. With an LLM even a problem with only one user, will be doable, enter your ask, and code gets written, problem gets solved. Runtime ends, app dies. Done. Single use apps are born. It’s hard to predict or try to understand how the world will look just 10 years from today. It will be very different, we have passed the inflection point, the rocket engines have been lit. We’ve taken off. Add to all the above that every single field, category and market will be disrupted at the same time. And not only with text/coding but with any multi-media we have. Images, video & audio. Anything we can come up with can and will be enhanced or disrupted by AI. Once we got more people that will have their AI A-ha moment the rate of change and adoption will continue to increase. This will continue until we have global access and coverage. People will get left behind, and this will be one of the most important things to try to combat. Having a 0% left behind policy. We need to make sure AI benefits all. We’re living through a paradigm shift, and we’re witness a new protocol level technology. We’re seeing it arrive in real-time and most people have no clue about what’s about to happen. I’m not an AI alarmist, I’m an AI gardener, and optimist. We will have time to adapt. Not as long as we had during the Industrial Revolution, but enough time to make sure we have a chance at a positive outcome. We’re moving away from the Information Age into the Age of Intelligence. With unlimited access to intelligence anywhere, anytime. 18th Mars 2023 - Linus Ekenstam

ok i admit it feels very cool to read the first part of this: gatesnotes.com/The-Age-of-AI-…

GitHub just announced Copilot X. Here's everything you need to know:

No social media, email, or text when you wake up. Write something, read something, or create something before you get sucked in.

4. Goals are bullshit. Successful and unsuccessful people have the same goals. You never rise to the level of your goals. You always fall to the level of your habits. Goals are just dreams. Habits make them a reality. h/t @JamesClear

At a small company, it's easy to control the culture. But as it scales, challenges accelerate. So I've open-sourced Figure's culture doc. Here’s our game plan to build a top company:

100+ AI tools were released in just the last week 🤯 AI innovation is moving at lightning speed. Here are 20 of the best AI tools I've found recently:

Amazon is positioned to sell you solutions before you know you need them To do this, it needs insights into your daily struggles: • It owns Ring - to get video of your home • It owns Alexa - to get audio of your home • It's buying Roomba - to get a map of your home

Dogs Try Cat Toys for the First Time

Blume points out that regional OTT platform Stage (catering to Haryana & Rajasthan) already has 235,000 viewers who pay. So, it seems that with nearly 20,000 dialects across India hyper-localised content is the way to go.

3. It feels neglectful to do the right thing when the right thing to do is nothing.

Uizard: True innovation is indistinguishable from magic - that's what Uizard feels like. Draw your idea on a piece of paper and watch Uizard turn the scan into a beautiful design within seconds.

Sourcing deals is the most important part. It is a numbers game. Don't get emotionally tied to any one deal. You'll underwrite 100 deals before you buy one. Do the work.

3. Customer Acquisition Cost is the silent killer of profits disguised as investment ⚠️ Take the example of how Upstox spent insane amounts on CAC and IPL ads whereas Zerodha captured the market by making organic investments with communities such as Finshots and Trading QnA.