Listen to the podcast in the post
“I just created a AI-Generated podcast by feeding an article I write into Google’s NotebookLM. If I hadn’t make it myself, I would have been 100% fooled into thinking it was real people talking.”
a blog of links related to computer animation and production technology Sponsored by ReelMatters.com
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Eating rocks and other shocking Google AI answers we’ve seen so far
https://www.fastcompany.com/91132974/shocking-google-ai-overview-answers
No. Do NOT eat rocks or put them into food!
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Google – Artificial Intelligence free courses
1. Introduction to Large Language Models: Learn about the use cases and how to enhance the performance of large language models.
https://www.cloudskillsboost.google/course_templates/5392. Introduction to Generative AI: Discover the differences between Generative AI and traditional machine learning methods.
https://www.cloudskillsboost.google/course_templates/5363. Generative AI Fundamentals: Earn a skill badge by demonstrating your understanding of foundational concepts in Generative AI.
https://www.cloudskillsboost.google/paths4. Introduction to Responsible AI: Learn about the importance of Responsible AI and how Google implements it in its products.
https://www.cloudskillsboost.google/course_templates/5545. Encoder-Decoder Architecture: Learn about the encoder-decoder architecture, a critical component of machine learning for sequence-to-sequence tasks.
https://www.cloudskillsboost.google/course_templates/5436. Introduction to Image Generation: Discover diffusion models, a promising family of machine learning models in the image generation space.
https://www.cloudskillsboost.google/course_templates/5417. Transformer Models and BERT Model: Get a comprehensive introduction to the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model.
https://www.cloudskillsboost.google/course_templates/5388. Attention Mechanism: Learn about the attention mechanism, which allows neural networks to focus on specific parts of an input sequence.
https://www.cloudskillsboost.google/course_templates/537 -
ChatGPT’s watermarks can help Google detect AI generated text
https://www.binance.com/en/feed/post/144141
OpenAI, the corporation behind ChatGPT, has announced plans to introduce a new watermarking feature to help Google detect AI generated text. Watermarked text in ChatGPT will include cryptography in the form of embedding a word pattern, letters, and punctuation in the form of a secret code.
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Forbes – The Hypocrisy Of Layoffs At Google, Microsoft, And PayPal
“These companies chose to blame thousands of people for a problem that was specifically created by their execs. The same people writing crocodile-tear-stained layoff letters are the same ones responsible for unrealistic projections, unrealistic spending and unrealistic hiring.”
“With corporate leaders having incentives not to benefit stakeholders at shareholder expense, delegating the guardianship of stakeholder interests to corporate leaders would prove futile. The promise of pluralistic stakeholderism is illusory.”
The Big Tech and big fintech companies aren’t worried about letting people go because when the next up-cycle hits they’ll pay top dollars (of course), but just as importantly, these resources can (nearly) seamlessly “plug and pay” into the tech environments in any of these companies.
“They use the same communication tools, the same programming tools, the same everything. There’s no (or hardly any) onboarding and training time required to get someone up to speed.”
“Without the need to spend months (weeks at the least) and untold dollars on training new employees, technology firms are emboldened to just let people go when it’s expedient for them.”
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Disco Diffusion V4.1 Google Colab, Dall-E, Starryai – creating images with AI
Disco Diffusion (DD) is a Google Colab Notebook which leverages an AI Image generating technique called CLIP-Guided Diffusion to allow you to create compelling and beautiful images from just text inputs. Created by Somnai, augmented by Gandamu, and building on the work of RiversHaveWings, nshepperd, and many others.
Phone app: https://www.starryai.com/
docs.google.com/document/d/1l8s7uS2dGqjztYSjPpzlmXLjl5PM3IGkRWI3IiCuK7g
colab.research.google.com/drive/1sHfRn5Y0YKYKi1k-ifUSBFRNJ8_1sa39
Colab, or “Colaboratory”, allows you to write and execute Python in your browser, with
– Zero configuration required
– Access to GPUs free of charge
– Easy sharing
https://80.lv/articles/a-beautiful-roman-villa-made-with-disco-diffusion-5-2/
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Google’s ’20% rule’ shows exactly how much time you should spend learning new skills, and why it works
“We encourage our employees, in addition to their regular projects, to spend 20% of their time working on what they think will most benefit Google,”
- Identify Specific Skills: Clearly define the skill you want to learn. Focusing on one specific area rather than spreading yourself thin across multiple subjects helps in achieving faster and more noticeable improvement.
- Seek Value in Every Effort: Even if a project doesn’t lead to immediate success, look for the minimum benefits such as learning new techniques, gaining exposure to different fields, or networking. This ensures your time is never wasted.
- Stay Flexible and Committed: Be disciplined in protecting your learning time, but also flexible enough to adjust when urgent tasks arise. The key is consistency, not a rigid schedule.
- Make it Enjoyable: Incorporate fun elements into your learning process. This could be through interactive methods like working with friends, enjoying relevant media, or engaging in creative projects.
- Think Long-Term: View your learning as a long-term investment. Small, consistent efforts compound over time, leading to significant improvements and opportunities in the future.
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