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https://stitch.withgoogle.com/
Stitch is available for free of charge with certain usage limits. Each user receives a monthly allowance of 350 generations using Flash mode and 50 generations using Experimental mode. Please note that these limits are subject to change.
https://www.linkedin.com/posts/upskydown_vr-googleveo-veo3-activity-7334269406396461059-d8Da
If you prompt for a 360° video in VEO (like literally write “360°” ) it can generate a Monoscopic 360 video, then the next step is to inject the right metadata in your file so you can play it as an actual 360 video.
Once it’s saved with the right Metadata, it will be recognized as an actual 360/VR video, meaning you can just play it in VLC and drag your mouse to look around.
For safety considerations, Google mentions a “layered, holistic approach” that maintains traditional robot safety measures like collision avoidance and force limitations. The company describes developing a “Robot Constitution” framework inspired by Isaac Asimov’s Three Laws of Robotics and releasing a dataset unsurprisingly called “ASIMOV” to help researchers evaluate safety implications of robotic actions.
This new ASIMOV dataset represents Google’s attempt to create standardized ways to assess robot safety beyond physical harm prevention. The dataset appears designed to help researchers test how well AI models understand the potential consequences of actions a robot might take in various scenarios. According to Google’s announcement, the dataset will “help researchers to rigorously measure the safety implications of robotic actions in real-world scenarios.”
Gemini 2.0 Flash won’t just remove watermarks, but will also attempt to fill in any gaps created by a watermark’s deletion. Other AI-powered tools do this, too, but Gemini 2.0 Flash seems to be exceptionally skilled at it — and free to use.
https://www.linkedin.com/posts/laszloga_veo2-activity-7278344748464029696-z18_
https://www.linkedin.com/posts/laszloga_veo2-veo2-activity-7279424228779507712-zDgC
https://www.linkedin.com/posts/laszloga_veo2-activity-7280530104722583552-tGgJ
https://www.linkedin.com/posts/laszloga_veo2-activity-7280881794663510016-e8i8
https://www.linkedin.com/posts/laszloga_veo2-activity-7277947758932606976–7i9
https://www.linkedin.com/posts/laszloga_veo2-activity-7283050136446935041-EJGs
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.”
https://www.fastcompany.com/91132974/shocking-google-ai-overview-answers
No. Do NOT eat rocks or put them into food!
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/539
2. Introduction to Generative AI: Discover the differences between Generative AI and traditional machine learning methods.
https://www.cloudskillsboost.google/course_templates/536
3. Generative AI Fundamentals: Earn a skill badge by demonstrating your understanding of foundational concepts in Generative AI.
https://www.cloudskillsboost.google/paths
4. 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/554
5. 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/543
6. 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/541
7. 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/538
8. 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
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.
“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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