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Using AI, Dashtoon transforms storytellers into comic book creators



Dashtoon needs to make anybody with a story to tell into a comic-craftsman, regardless of whether they can’t draw. It furnishes hopeful comics maker with a set-up of generative simulated intelligence devices, and a distributing stage that discharges new episodes everyday for eager perusers.

To seed the stage, called Dashtoon Comic Peruser, Dashtoon authorized around 30 comics and will begin adding very nearly 1,000 new episodes consistently. It began adapting in October and hopes to make $15,000 in income during the primary month, with plans to develop to $100,000 each month throughout the following a few months. The startup works on a freemium model that gives clients one free episode daily for every comic.

The San Francisco and London-based startup declared today it has brought $5 million up in seed subsidizing drove by Grid Accomplices India and Stellaris Adventure Accomplices with cooperation from private backers.

Dashtoon was established in December 2022 by Sanidhya Narain, Lalith Gudipati and Soumyadeep Mukherjee. Before Dashtoon, Narain and Gudipati were in the establishing group of Pocket FM, where they dealt with developing the India-based sound substance stage in the US. Mukherjee comes from a profound tech foundation, including Morphle Labs, which fabricates malignant growth conclusion advanced mechanics.

Narain lets TechCrunch know that the thought behind Dashtoon was planted while he and Gudipati were working at Pocket FM. They did a showcasing test, utilizing funny cartoons to advance Pocket FM’s serialized sound substance on stages like Facebook, and were shocked at how well the missions did.

“We knew then that there was latent demand from U.S. consumers to read digital comics, so I decided to spend some time in Korea to understand how the ecosystem works,” says Narain. “I realized that comic creation needs very high skills and developing a creator ecosystem in a new geography would take a lot of time and require a huge investment.”

That changed when DALL-E 2 was delivered, pushing text-to-picture artificial intelligence models forward. Midjourney and Dependability. Simulated intelligence likewise influenced the universe of man-made intelligence produced workmanship. Narain and Gudipati concluded that it was a great opportunity to begin dealing with a stage that could make creation quality comics with man-made intelligence. Mukherjee joined as CTO to construct Dashtoon’s man-made intelligence Creation Suite, which the organization says empowers anybody to transform their story thoughts into computerized comics. Then, at that point, they can convey and adapt them through Dashtoon Comic Peruser.

Dashtoon is focused on at existing author networks who need to transform their accounts into comics, however don’t have abilities like outlining or lettering. To utilize Dashtoon Studio, a maker initially transfers their storyboard. Then, at that point, they pick characters for each board from Dashtoon’s personality library or transfer photographs and drawings to create pictures. The startup’s originators say this lessens the time it takes to make an episode from 40 to 50 hours to only 5 to 6 hours. This implies episodes can be distributed everyday, expanding Dashtoon’s possibilities creating a hit. Later on, Dashtoon plans to add highlights empowering makers to produce storyboards and exchanges with computer based intelligence, as well, decreasing the time it takes to make an episode to under 60 minutes.

While Dashtoon Studio utilizes computer based intelligence to produce storyboards and exchanges, that doesn’t mean there is no inventiveness included, says Narain. “Imagine generative AI as an agent that can do labor-intensive tasks for you or present you with various options, but the real creative work will have to be done by humans.” Content makers actually compose stories and conceptualize characters, prior to preparing them on Dashtoon Studio so they can be utilized in various postures and articulations.

While generative simulated intelligence is being coordinated into additional imaginative instruments, similar to research’s Item Studio and Canva, many individuals, particularly specialists, still have lingering doubts about computer based intelligence craftsmanship. Narain says the establishing group’s greatest apprehension was that perusers wouldn’t appreciate computer based intelligence produced content, yet the gathering has been great up to this point.

“Most of the AI products are basic wrappers, and the content they produce is very mechanical in nature which means the creator has very limited control over the final output,” he says, adding that Dashtoon evades that by giving makers unlimited oversight over their eventual outcome. He says that numerous comic fans comprehend that people can’t deliver another episode consistently, yet there is a change in customer conduct where they really do need day to day delivers (like marathon watching Netflix) and are good with simulated intelligence created content for however long it is pleasant.

One more analysis of man-made intelligence produced content is that a great deal of it is based off taken work from different craftsmen. For instance, Steadiness computer based intelligence, Midjourney and DeviantArt were sued by specialists who said the organizations abused their protected fine art. Narain says Dashtoon forestalls copyright encroachment with a few measures. One is cultivating its personality library inside with its own IP, including computerized craftsmanship, hand drawn characters and photographs. Stories likewise must be the IP of its maker or Dashtoon, and the organization may ultimately prepare its own establishment models, cooperating with information suppliers who don’t overstep intellectual property regulation.

There are other advanced comic appropriation stages, including Wonder Limitless and Webtoon. Narain says Dashtoon separates with its substance library and episode discharge rate. It likewise needs to stand separated by building a local maker local area.

“The last decade in the content industry was defined by the disruption of content distribution,” says Narain. “And the next decade will be defined by the disruption of content creation.” He adds that Dashtoon presents an option in contrast to conventional, work concentrated techniques for comics creation and conveyance, which included scholars either figuring out how to do craftsmanship themselves or recruit an outsider and afterward sell on Amazon and different commercial centers.

Dashtoon will first zero in on lengthy structure content in quite a while like sentiment, show and dream. Then, at that point, as additional makers installed, it intends to venture into different types inside fiction, genuine and short-structure showed content. As far as makers, Dashtoon plans to initially zero in on working with distributed scholars to change over their accounts into computerized comics and realistic books for distribution on Dashtoon Comic Peruser, prior to building a local area of makers that distribute first on the stage.

In an explanation about the speculation, Stellaris Adventure Accomplices head Naman Lahoty said that content utilization on cell phones has developed from a normal of 45 minutes out of every day in 2011 to 4 hours out of each day in 2021, because of new happy configurations like short-structure recordings, sound OTT, digital broadcasts and relaxed games. “Looking ahead, we anticipate that webcomics will emerge as the next wave of growth,” he added. “As pioneers in this domain, Dashtoon is poised to lead the charge with the founder possessing a perfect mix of content, tech and global user acquisition experience and skills required to build this business.”


AI-Powered Chatbot Launched, According to Figure Technology Solutions



The launch of Figure Technology Solutions’ AI-powered chatbot, which was created with the most recent large language models, was announced today. Figure is a provider of a disruptive and scaled technology platform designed to improve efficiency and transparency in financial services. By utilizing AI and machine learning to power its revolutionary lending ecosystem solutions and sustain a highly stable loan portfolio, Figure is demonstrating its dedication to this goal with this strategic launch. Figure is demonstrating its ability to integrate AI into daily operations, providing efficiency and effectiveness in servicing and targeting customers, with its existing AI/ML processes ranging from advanced prospect targeting capabilities to processes designed to streamline operations.

The goal of Figure’s AI chatbot is to improve and expedite the HELOC application and origination process, as well as the platform’s overall customer service experience. During and after the hours that Figure’s Customer Support Specialists are in operation, the chatbot is accessible to offer operational support. In an effort to speed up customer response times and free up Customer Support Specialists’ time to handle more intricate queries, the chatbot offers Figure’s CSS sample answers to frequently asked questions about HELOC products and application procedures during business hours.

Figure’s AI chatbot is intended to answer basic questions after hours, making the application process easier for clients. This AI chatbot acts as round-the-clock support, enhancing the usability and effectiveness of Figure’s loan origination platform by assisting users with their initial inquiries and offering crucial information and help. As a result, Figure’s lending technology solutions platform will function more efficiently and its customer service experience will be enhanced.

The AI chatbot demonstrates Figure’s ongoing efforts to create a lending technology platform that is among the best in the industry and that streamlines and expedites the loan origination and purchase processes. With the use of AI chatbot technology, Figure has been able to handle a nearly 30% increase in monthly chat volume while still offering HELOC customers a constant, round-the-clock channel of communication and more accurate responses.

Chief Data Officer at Figure Technology Solutions Ruben Padron stated, “The mortgage lending space is still highly manual, and there remains a pressing need for automation within the industry.” “We think Figure is putting itself at the forefront of the tech revolution in the mortgage space with the creation of extremely effective customer solutions like the AI chatbot.” “Our aim is to enhance the efficiency of the mortgage and lending industry by leveraging our generative AI portfolio to support our in-house tech-enabled platform. This will allow us to optimize value for our partners and customers.”

In the future, Figure plans to keep improving the AI chatbot to better assist users. Some of the improvements will be in the areas of context saving, customer verification, and chat history carry-forward.

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Adobe Unveils AI-Enhanced Mobile App for Content Creation



Adobe has released a new mobile app called Adobe Express, which leverages generative artificial intelligence (GenAI) from Adobe Firefly to make content creation easier.

The company said in a press release on Thursday, April 18, that users would be able to create and distribute social media posts, videos, flyers, logos, and other types of content with the new mobile app.

According to the release, Govind Balakrishnan, senior vice president of Adobe Express and Digital Media Services, “brings the magic of Firefly generative AI directly into web and mobile content creation services.”

Per the release, the new mobile app is an all-in-one content editor that incorporates the photo, design, video, and GenAI tools from Adobe.

Users of any skill level can easily complete complex tasks with straightforward text prompts thanks to the app’s integration of the company’s Firefly GenAI, according to the release.

According to the release, you can use Text to Image to create images, Text Effects to generate text stylings, Generative Fill to add or remove objects from photos, and Text to Template to create editable templates.

According to the release, this is the first time these Firefly-powered features have been made available on mobile devices.

Balakrishnan stated in the release, “We’re excited to see a record number of customers turning to Adobe Express to promote their ideas, passions, and businesses through digital content and on TikTok, Instagram, X, Facebook, and other social platforms.”

A quarterly earnings call in March saw executives from Adobe announce that the company has been implementing GenAI features across its product lines for digital media, digital experience, publishing, and advertising.

All client segments have demonstrated a high level of demand for these features, according to the business. Since its launch in 2023, Firefly, for instance, has assisted users in creating over 6.5 billion images, vectors, designs, and text effects..

The content supply chain for businesses is set to be revolutionized by Adobe’s latest product launch, GenStudio and Firefly, which it announced in March along with additional GenAI capabilities.

New features in asset management, creation and production, delivery and activation, workflow and planning, insights and reporting, and asset management are among these additions. Their purpose is to furnish organizations with a cohesive and smooth content supply chain.

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Llama 3, a Dedicated AI Web Portal, is Announced by Meta



On April 18, Meta made the announcement that Llama 3, its most recent large language model (LLM), had launched. It was hailed as a “major leap over Llama 2.”

According to the company, it has already released the first two models of the current version, which have 8B and 70B parameters. 400B parameters will be featured in future models.

A “large, high-quality training dataset” with over 15 trillion tokens—7 times larger and 4 times more code than Llama 2—was used to train Llama 3, as highlighted by Meta. To maintain the quality of the data, Llama 3 also includes filtering methods, such as NSFW filters.

Over half of the 12 use cases show that LLama 3 performs better than Llama 2 and rival models like Claude Sonnet from Anthropic, Mistral Medium, and Chat GPT-3.5 from OpenAI.

Text-based models comprised the initial releases of Llama 3. But multilingual and multimodal releases are on the way. “Core LLM capabilities” as defined by Meta will be exhibited by them, along with a longer context and improved reasoning and coding performance.

All significant cloud providers, model API providers, and other services will host Llama 3, according to the company’s plans. The product will be released “everywhere,” as planned.

Greater user Accessibility

Developers are the target audience for Llama 3, but Meta has also introduced new channels for end users in the US and over 12 other countries to access AI services.

A recent inclusion is a specialized website called Meta AI, where users can get homework help, trivia games, simulated job interviews, and writing help powered by AI.

Facebook, Instagram, WhatsApp, Messenger, and other products from Meta are all integrated with Meta AI. Additionally, the service is available in the US through Ray-Ban Meta smart glasses, and the company has plans to expand it to include its Meta Quest VR headset.

The announcement of Meta’s expanded AI product line follows the release of updates to rival services. The competition between consumer-focused AI services progressed when ChatGPT upgraded to GPT-4 Turbo on April 11 and Microsoft Copilot upgraded to GPT-4 Turbo beginning in March.

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