Raquel Camargo

Artificial intelligence is reshaping behavior, discourse, and the algorithms that decide who gets visibility—and who gets silenced. It’s not enough to talk about technology. We must talk about power, ethics, and which version of humanity we’re coding into the future. #AI

This slapstick sequence happened in the 4x100m relay prelims at the World Humanoid Robot Games.

@pl4yaga1n @siteptbr Ola, eu que fiz o video e postei no meu instagram. Me chamo Raquel Camargo e meu ig é instagram.com/raquel_camargo . Obrigada

@siteptbr Que divaaaaaaa qual o nome dela?

Jornalista debocha de comentários homofóbicos feitos em seus vídeo mostrando a inclusão no Canadá. 💅🏳️‍🌈

@siteptbr Oii, poderiam dar os creditos do meu instagram onde fiz o post, por favor?

Just wrapped 3 intense days at MIT for #EMTECHAI — and I loved every moment. Here’s a short video I made with some key insights and takeaways. linkedin.com/posts/raquelca…

2023's biggest addiction: #midjourney . <3

In only eight days, 12 journalists have been killed amidst the ongoing Israel-Gaza conflict, in the deadliest week in the region recorded by the Committee to Protect Journalists over the past 30 years. Journalists are civilians and must be protected. Read: cpj.org/2023/10/journa…

Join us this October to amplify our commitment to enhancing health and wellness for our members and partners. Let's raise awareness and take proactive steps for cancer prevention and well-being. #CancerAwarenessMonth #UBCBuilt

nwmd.io/s/twitter/ZBY5… Save Our Science Centre #toronto

@BryannaNasck twitter.com/nemanema/statu…

A cultura cis de anunciar a genitália de bebês ainda vai ter muita tragédia viu 💀

@Courters1ONeill Canadian International Air Show :)

@Courters1ONeill I am here with the same question

@svpino @chesterbr

Programming is changing. Fast! The attached code example uses Gorilla, an open-source Large Language Model that specializes in writing API calls. Gorilla kicks GPT-4's butt at this task. It's also much better than ChatGPT and Claude. The team claims the model is very reliable and reduces hallucinations. They currently support more than 1,600 API calls, and you can contribute yours. To use the model, you start with a natural language query. Gorilla will produce an API call you can invoke. Look at the attached example. I ask the model to detect any Spanish text in an image and translate it to English. The model produces the code I can use to do that. It's awesome! The productivity of every developer worldwide would go through the roof if we had a reliable model that knew how to use any library or framework. (The thing that excites me the most is the ability for anyone to contribute to the model!) Forget the documentation; just write me some code! I can't help but wonder whether we are working ourselves out of a job. As these models improve and write better code, what'll happen with software developer jobs?

frontend and backend devs collaborating

Code Interpreter in ChatGPT is incredible! Took me 5 mins to make this game. You can make your own game assets with any AI generator and then ask GPT-4 with Code Interpreter to write code. If you have any problems you can ask it to fix the errors. 1. Write this prompt: "write p5.js code for Asteroids where you control a spaceship with the mouse and shoot asteroids with the left click of the mouse. If your spaceship collides with an asteroid, you lose. If you shoot down all asteroids, you win! I want to use my own textures for the spaceship and for asteroids." 2. Go to Openprocessing website create and save sketch (you'll need to save it before uploading any texture files). Copy paste code from GPT-4 3. Generate texture files and remove backgrounds, for example in Clip Drop 4. Replace names of files with your filenames 5. Run the program 6. If something doesn't work ask GPT-4 to fix it (you can copy an error and paste in GPT-4) like you would ask a human programmer 7. To learn a bit of programming write these prompts to GPT-4: "Act as my programming teacher. Tell me an algorithm of Asteroids game in detail and make names of functions and explain what each of these functions will do. Don't write the code just yet." and then " Can you describe the algorithm overall for a 10-year-old child"

@Sttenio eu pediria ajuda ao Chat GPT, honestamente.

AI powered tethered drones picking apples 🤯 These drones use AI image recognition models to determine ripeness and sugar levels in the apples. Then they use a little arm to pick them. AI & robotics will completely revolutionize the agriculture industry.

Here are our three papers on ways to use AI for teaching. All have prompts & details: Using AI to make teaching easier & more impactful: papers.ssrn.com/sol3/papers.cf… Using errors made by AI to teach hard things: papers.ssrn.com/sol3/papers.cf… Assigning AI to students: papers.ssrn.com/sol3/papers.cf…

One of the reasons why I think prompt engineering will fade in importance for most people is that AI is already pretty good at doing prompt engineering for you. For example, you can get useful prompt guidance from just using this basic prompt in GPT-4. chat.openai.com/share/c1b9f609…