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Twitter’s Fabric was upgraded with nine new SDKs

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As most mobile development tools require a lot of configuration and hours spent by developers to juggle between accounts, Twitter decided to create a powerful and easy to use toolkit, called Fabric. Twitter’s Fabric was launched last year in October and allowed app developers to build their own apps on the Fabric platform. Twitter is constantly trying to make Fabric the best kit for building apps for iOS or Android and today they have announced nine new SDKs (Software Development Kits) that have been added to the platform.

Twitter didn’t spend a lot of time building these new services, because they have decided it was best to simply partner with providers that have already had all these tools. Just like Twitter’s Fabric platform helps you work faster and smarter, they have provided these new SDKs in the simplest way possible. That being said, here are the new SDKs you should be looking forward to:

  •  Appsee – This SDK is actually an analytics platform that makes developers understand how users can use their app.
  •  AWS – Short for Amazon Web Services, an actual cloud storage platform.
  •  GameAnalytics – This SDK focuses only on mobile game developers, as it is an analytic toolkit for this type of apps.
  •  Mapbox – Another focused SDK, but this time, it relates to map and navigation app developers and offers customizable maps with services relating to location and direction.
  •  Nuance – The Dragon NaturallySpeaking dictation service, which is one of the best speech recognition and translating service.
  •  Optimizely – A simple alpha or beta testing toolset for all kind of apps.
  •  PubNub – This SDK is brought to Fabric’s platform to help developers build and scale their apps globally, as it works like a data streaming network.
  •  SendGrid – An SDK mainly introduced to offer a better email service that can be used for marketing and transactional sendings.
  •  Stripe – A toolkit that adds payment infrastructure to a developer’s built app.

Who doesn’t enjoy listening to a good story. Personally I love reading about the people who inspire me and what it took for them to achieve their success. As I am a bit of a self confessed tech geek I think there is no better way to discover these stories than by reading every day some articles or the newspaper . My bookcases are filled with good tech biographies, they remind me that anyone can be a success. So even if you come from an underprivileged part of society or you aren’t the smartest person in the room we all have a chance to reach the top. The same message shines in my beliefs. All it takes to succeed is a good idea, a little risk and a lot of hard work and any geek can become a success. VENI VIDI VICI .

Artificial Intelligence

Gaming models are created by Auctoria using generative AI

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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.

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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.”

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Artificial Intelligence

DALL-E 3, from OpenAI, lets artists skip training

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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.

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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.

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Biology

The First 3D-Printed Vegan Salmon Is In Stores

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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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