A systematic trolling campaign was launched against Twitter not long after Elon Musk took over the business last week. The coordinated attempt, according to Yoel Roth, the company’s head of safety and security, was to lead users to believe that Twitter’s regulations have been relaxed. Additionally, Roth stated that the firm was striving to stop the campaign that had sparked a rise in hate speech and other offensive behavior on the website. The executive has since issued an update on Twitter’s cleanup efforts, stating that over 1,500 accounts involved in the trolling have been deleted and that the company has made “measurable progress” since Saturday.
These 1,500 accounts didn’t belong to 1,500 people, according to Roth. Many of them were repeat offenders, he tweeted. The executive added that the number of times a piece of information is viewed by users, or impressions, is Twitter’s main yardstick for the performance of content moderation, and that the business was able to almost completely eliminate impressions of the vile content that flooded its platform.
Our primary success measure for content moderation is impressions: how many times harmful content is seen by our users. The changes we’ve made have almost entirely eliminated impressions on this content in search and elsewhere across Twitter. pic.twitter.com/AnJuIu2CT6
— Yoel Roth (@yoyoel) October 31, 2022
Roth discussed how Twitter is modifying how it enforces its rules addressing harmful tweets in addition to giving an update on how the latest trolling campaign on the platform is being handled. Bystander reports are handled differently by the firm than first-person reports, he said, adding that “we have a higher threshold for bystander reports in order to discover a violation” because bystanders “don’t necessarily have full context.” Because of this, even when reports of hostile behavior on the platform are made by unaffiliated third parties, the reports are frequently tagged as non-violations of the site’s regulations.
With a pledge to share additional information about how the website is altering how it enforces its rules, Roth concluded his series of tweets. How Twitter’s personnel will be able to uphold its principles in the coming days, however, is called into question by a recent Bloomberg story. The news source claims that Twitter has restricted access to internal tools used for content moderation for the majority of its staff.
It appears that the majority of Twitter’s Trust and Safety team employees have lost the authority to take action against accounts that violate the platform’s policies on hate speech and disinformation. Employees are understandably concerned about how Twitter will be able to control the dissemination of false information with the US midterm elections on November 8 just a few days away in light of this tragedy.
According to Bloomberg, the decision to limit the employees’ access to moderation tools is a part of a larger effort to freeze the software code of Twitter, preventing employees from making modifications to the service when it changes hands. The group added that Musk requested a revision of various Twitter policies, notably the one regarding misinformation that sanctions postings that contain untrue information about politics and COVID-19. A portion of Twitter’s abusive conduct policy that sanctions posts containing “targeted misgendering or deadnaming of transgender individuals” is another regulation Musk reportedly urged the team to consider.
Gaming models are created by Auctoria using generative AI
Aleksander Caban, co-founder of Polish VR game developer Carbon Studio, noticed a major problem in modern game design several years ago. He manually created rocks, hills, paths, and other video game environment elements, which was time-consuming and laborious.
Caban created tech to automate the process.
In collaboration with Michal Bugała, Joanna Zając, Karolina Koszuta, and Błażej Szaflik, he founded Auctoria, an AI-powered platform for creating 3D game assets. Auctoria, from Gliwice, Poland, is in Startup Battlefield 200 at Disrupt 2023.
Auctoria was founded on a passion for limitless creativity, according to Zając in an email interview. It was designed to help game developers, but anyone can use it. Few advanced tools exist for professionals; most are for hobbyists and amateurs. We want to change that.”
Using generative AI, Auctoria creates various video game models. One feature generates basic 3D game levels with pathways, while another converts uploaded images and textures of walls, floors, and columns into 3D versions.
Like DALL-E 2 and Midjourney, Auctoria can generate assets from text prompts. Or they can submit a sketch, which the platform will try to turn into a digital model.
All AI algorithms and training data for Auctoria were developed in-house, according to Zając.
She said “Auctoria is based 100% on our content, so we’re not dependent on any other provider.” It’s independent—Auctoria doesn’t use open source or external engines.
In the emerging market for AI game asset generation tools, Auctoria isn’t alone. The 3DFY, Scenario, Kaedim, Mirage, and Hypothetic startups create 3D models. Even Nvidia and Autodesk are entering the space with apps like Get3D, which converts images to 3D models, and ClipForge, which generates models from text descriptions.
Meta also tried tech to create 3D assets from prompts. In December, OpenAI released Point-E, an AI that synthesizes 3D models for 3D printing, game design, and animation.
Given the size of the opportunity, the race to market new solutions isn’t surprising. According to Proficient Market Insights, 3D models could be worth $3.57 billion by 2028.
According to Zając, Auctoria’s two-year R&D cycle has led to a more robust and comprehensive toolset than rivals.
“Currently, AI-based software is lacking for creating complete 3D world models,” Zając stated. “3D editors and plugins offer only a fraction of Auctoria’s capabilities. Our team started developing the tool two years ago, giving us a ready-to-use product.”
Auctoria, like all generative AI startups, must deal with AI-generated media legal issues. Not yet clear how AI-generated works can be copyrighted in the U.S.
However, the Auctoria team of seven employees and five co-founders is delaying answering those questions. Instead, they’re piloting the tooling with game development studios like Caban’s Carbon Studio.
Before releasing Auctoria in the coming months, the company hopes to raise $5 million to “speed up the process” of creating back-end cloud services to scale the platform.
Zając stated that the funding would reduce the computing time required for creating worlds or 3D models with Auctoria. Achieving a software-as-a-service model requires both infrastructure and user experience enhancements, such as a simple UI, excellent customer service, and effective marketing. We’ll keep our core team small, but we’ll hire more by year’s end.”
DALL-E 3, from OpenAI, lets artists skip training
Today, OpenAI released an updated version of DALL-E, its text-to-image tool that uses ChatGPT, its viral AI chatbot, to make prompting easier.
Most modern, AI-powered image generation tools turn prompts—image descriptions—into photorealistic or fantastical artwork. However, writing the right prompt is so difficult that “prompt engineering” is becoming a profession.
New OpenAI tool DALL-E 3 uses ChatGPT to fill prompts. OpenAI’s premium ChatGPT plans, ChatGPT Plus and ChatGPT Enterprise, allow users to type in an image request and refine it with the chatbot, receiving the results in the chat app.
ChatGPT can make a few-word prompt more descriptive, guiding the DALL-E 3 model.
DALL-E 3 adds more than ChatGPT integration. OpenAI claims that DALL-E 3 produces better images that better reflect prompts, especially for longer prompts. It handles text and human hands better, which have previously hampered image-generating models.
OpenAI claims DALL-E 3 has new algorithmic bias-reduction and safety mechanisms. For instance, DALL-E 3 will reject requests to depict living artists or public figures. Artists can now choose not to train future OpenAI text-to-image models with their work. (OpenAI and its rivals are being sued for using copyrighted artists’ work to train their generative AI image models.)
As the image-synthesizing generative AI race heats up, DALL-E 3 launches. Midjourney and Stability AI keep improving their image-generating models, putting pressure on OpenAI to keep up.
OpenAI will release DALL-E 3 to premium ChatGPT users in October, then research labs and API customers. The company did not say when or if it would release a free web tool like DALL-E 2 and the original model.
The First 3D-Printed Vegan Salmon Is In Stores
Revo Foods’ “THE FILET – Inspired By Salmon” salmon fillet may be the first 3D-printed food to hit store shelves. said that firm CEO Robin Simsa remarked, “With the milestone of industrial-scale 3D food printing, we are entering a creative food revolution, an era where food is being crafted exactly according to customer needs.”
Mycoprotein from filamentous fungi is used to make the salmon alternative and other meat substitutes. Vitamins and omega-3 fatty acids are in the product, like in animals. Is high in protein, at 9.5 grams per 100 grams, although less than conventional salmon.
Revo Foods and Mycorena developed 3D-printable mycoprotein. Years of research have led to laser-cooked cheesecakes and stacked lab-grown meats.
One reason for this push is because printed food alternatives may make food production more sustainable, which worries the fishing sector. Overfishing reduces fish populations in 34% of worldwide fish stocks.
Over 25% of worldwide greenhouse gas emissions come from food production, with 31% from livestock and fish farms and 18% from supply chain components including processing and shipping. According to Revo Foods’ website, vegan salmon fillet production consumes 77 to 86% less carbon dioxide and 95% less freshwater than conventional salmon harvesting and processing.
The salmon alternative’s sales potential is unknown. In order to succeed, Revo Foods believes that such goods must “recreate an authentic taste that appeals to the flexitarian market.”
The commercial distribution of 3D-printed food could change food production.
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