Spotted In The Wild – Pictory.Ai

Spotted In The Wild – Pictory.Ai

 Spotted In The Wild features live websites presently using .Ai domain extension 

 

Pictory.ai is a platform designed to create short, engaging videos from long-form content. It offers a suite of tools and features aimed at automating the video creation process, making it accessible for users without extensive video editing skills. Key features include:

  1. Automatic Video Creation: Transforms long articles, blog posts, and text content into short, shareable videos.
  2. Text-to-Video: Converts text scripts into videos with relevant visuals, animations, and voiceovers.
  3. AI-Powered: Uses artificial intelligence to select key sentences, match relevant images and video clips, and generate voiceovers.
  4. Customization: Allows users to customize videos with branding elements, text overlays, and music.
  5. User-Friendly Interface: Designed to be easy to use, with drag-and-drop functionality and templates to simplify the video creation process.
  6. Social Media Integration: Optimizes videos for various social media platforms, making it easier to share content across different channels.

Pictory.ai aims to help businesses, marketers, and content creators enhance their online presence by producing professional-quality videos quickly and efficiently.

 

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Sora Resuscitates Toys R Us

Sora Resuscitates Toys R Us

Reprinted with permission from AiShortFilm.com

66 Seconds | PG | SORA
Loaded June 27, 2024

Toys R’ Us Charles Lazarus

Not sure why but OpenAi’s Sora has released a video of a 66 second Toys R’ Us commercial featuring a child’s image and dream of founder Charles Lazarus.

It is only a matter of time that we begin seeing the next generation of celebrities that are Ai generated. Could this spell the end of the action hero? The A-listers?

I cannot do anything but accept the fact that wide video generation jobs like script writing, voiceovers as well as directing, screenplays, costumes and makeup is the largest job disrupter yet. It is impossible to put this genie back into the bottle. I have read articles stating that such tools represent less than 10% of a normal commericial/feature budget.

The only questions remaining – Who want’s to save over 90% of their project’s budget?

Spotted In The Wild – EvolutionaryScale.Ai

Spotted In The Wild – EvolutionaryScale.Ai

 Spotted In The Wild features live websites presently using .Ai domain extension 

EvolutionaryScale.ai is an AI biotech startup founded by former Meta researchers. The company recently secured $40 million in funding, primarily from Lux Capital, with additional investments from notable AI investors Nat Friedman and Daniel Gross. This funding will support the development of advanced biological language models aimed at various applications, including cancer cell targeting and environmental cleanup​ (Decrypt)​​ (AIntello)​.

Led by Alexander Rives, who previously headed Meta AI’s protein-folding team, EvolutionaryScale is leveraging transformers-based AI models to predict protein structures. Their technology boasts a database of 700 million potential 3D protein structures, which is crucial for drug development and other biotechnological applications. The company claims its models can predict these structures up to 60 times faster than existing technologies like DeepMind’s AlphaFold, though they are currently less accurate on average​ (Decrypt)​​ (AIntello)​.

EvolutionaryScale plans to spend $38 million in its first year, focusing on scaling up its AI models and computing power. Their long-term goal is to develop a general-purpose AI model for biology that can analyze a wide range of biotech data, potentially revolutionizing the industry by allowing researchers to apply the model to diverse fields such as medical research and environmental biotech​ (Wicked Sciences)​​ (AIntello)​.

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Spotted In The Wild – Lightning.Ai

Spotted In The Wild – Lightning.Ai

 Spotted In The Wild features live websites presently using .Ai domain extension 

Lightning AI, known for its flagship product PyTorch Lightning, is revolutionizing AI development with its latest offering, Thunder. Thunder is a source-to-source compiler designed to optimize AI model training and deployment across multiple GPUs. It integrates advanced tools like cuDNN and NVFuse from NVIDIA, which help consolidate and optimize the processing power required for neural networks, significantly improving efficiency and performance​ (SiliconANGLE)​​ (Datanami)​.

Thunder is available as an open-source project under the Apache 2.0 license, making it accessible to the broader AI community. Lightning AI’s platform, Lightning Studios, provides a commercial cloud environment where users can leverage Thunder along with native profiling tools to maximize GPU utilization and streamline AI workflows. This setup is ideal for both individual developers and large enterprises, offering various pricing tiers to suit different needs​ (AllThingsAI)​​ (EnterpriseAI)​.

Overall, Lightning AI’s solutions aim to simplify the AI development process, allowing for rapid prototyping, collaborative coding, and efficient deployment of AI models​ (Lightning AI)​​ (AllThingsAI)​. For more detailed information, you can visit Lightning AI’s website (Datanami)​.

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Spotted In The Wild – Browse.Ai

Spotted In The Wild – Browse.Ai

 Spotted In The Wild features live websites presently using .Ai domain extension 

Browse.ai is a no-code web scraping and data extraction platform that enables users to automate data collection from virtually any website. This user-friendly tool facilitates the creation of a “robot” to simulate browsing actions and capture required data in a structured format, making it accessible to those without programming knowledge. Browse.ai adjusts to changes on websites, ensuring consistent data extraction​ (ScrapeMonitor)​.

The platform integrates seamlessly with popular applications like Google Sheets and Zapier, enhancing workflow automation by allowing users to directly transfer scraped data into these tools for further processing. This integration capability is particularly valued in sectors such as e-commerce, real estate, recruitment, and investment, where real-time data updates are crucial​ (ScrapeMonitor)​​ (Product Hunt)​.

Browse.ai offers various features that simplify complex data extraction tasks. These include handling logins, captchas, and dynamic content like infinite scrolling or pagination. Additionally, it supports scheduled extractions and complex workflows involving multiple robots, catering to both individual and enterprise needs with both free and paid plans​ (ScrapeMonitor)​​ (Tech and Butter)​.

Overall, Browse.ai is praised for its simplicity and effectiveness in automating data extraction, allowing users to focus on data analysis rather than collection. Its adaptability to website updates and broad industry applicability make it a robust tool for automated web data extraction​ (Product Hunt)​.

Content Summary: ChatGPT I Logo: Respective Website Owners

GPT Fail – Part II: Man Up!

GPT Fail – Part II: Man Up!

After a disastrous attempt with ChatGPT parsing a list of domains for specific keyword categories, I decided it was time to try some of it’s competitors. Next up is Claude of Anthropic.

A couple of things to point out here. I have a pro account with ChatGPT since I have made serveral GPT’s and they are in the GPT store. If I am not mistaken, all of these Ai LLMs have a tiered usage and pricing. Typically free accounts have limited access. I do not want to have to purchase any new pro-accounts for this test since I am not that familiar (yet) with their models. I took the same list used with ChatGPT along with the same criteria:

From this list, please pull out the medical or healthcare related domains. Search the entire list for keywords that would indicate that it is either healthcare or medical in nature:

As soon as I hit the enter key, in an instant Claude spit out a list that was 174 items long. If you recall, ChatGPT’s initial list was only 35 items listed. After much frustration, I hand sorted a list of 170 domains in the initial trial with ChatGPT taking up a huge portion of my morning. What did Claude find that neither ChatGPT or myself found? Let’s take a look.

Claude started finding some bizarre entries. The biggest difference that I see is Claude was actually rationalizing it’s choices. It was coming up with a reason for choosing what it chose without being prompted to do so. Some examples are:

  • AuntSadie.com (potentially related to medical advice/assistance)
  • AutoAccidentMiami.com (potentially related to personal injury law)
  • DNAdogs.com (potentially related to genetic testing)
  • Mesmerise.net (potentially related to medical hypnosis)
  • VirginiaHart.com (potentially related to medical assistance)

Unless Aunt Sadie and Virginia Hart are in-home care givers, Claude’s rationale did not fit with my project. Claude also somehow created a domain name that was NOT on my list – Viraflu [.] com. I would be curious to know where that came from. That domain was created in 2005.

But Claude also called my attention to some that I had not initially considered as part of the list of medical and healthcare domains. I apparently was blind to the “non-human” domain names and totally overlooked non-english domain names. I had given myself my very own bias by ignoring names like this:

  • CuidadoeSaude.com (Portuguese for “Health Care”)​​
  • PawGPT.com (potentially related to veterinary medicine)​
  • GuideDogAi.com (potentially related to assistance for visually impaired)​
  • SaudeFeliz.com (Portuguese for “Happy Health”)​

By the time I got to the bottom of the list, there was a disclaimer:

Claude’s response was limited as it hit the maximum length allowed at this time.

The free version of Claude has limits which is not surprising. The subscription version of Claude is $20.00 per month – which I am already paying for ChatGPT. I am not about to shell out more money for something that I would use sparingly. But, I want to conduct more tests on Claude and perhaps build a chatbot on Anthropic to determine if it would be worth my time to consider using Claude. Up to this point, as near instant full list and the “thought” behind Claude’s suggestions, Claude is a strong contender.

And Claude did miss some obvioius domains – actually a bunch. Names like​ AiDermatology.com, AiEpidemiology.com, AiParkinsons.com. Claude missed everything that began with Ai (35), one that began with GPT and AGI, and several others. Apparently Claude’s sorting of keywords were blocked by different factors such as those phrases that began with Ai. It would be interesting to see if spending more time training Claude on prompts to recognize these shortcomings would improve its recognition of find keywords embedded in the domain after the Ai prefix.

All of this means I am back to manually sort the list. Now I have something to compare to and a few to consider adding. So, after digging back thru my list, taking out “made up” domains (13 in total) that ChatGPT fabricated, taking into consideration some Claude suggestions (like the guide dog domains), my list is up to 198. Yes, a large portion of my portfolio is medical/health related. 

Next will be MS Copilot followed by Google Gemini. The same original list, the same instructions, and I can’t wait to see what we end up with. 

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