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The gaming revolution brought about by AI



Given how much AI is being discussed in 2023, one could assume that it only suddenly made an appearance in gaming and technology this year. In actuality, though, artificial intelligence has always influenced video games and impacted the gaming industry. Before multiplayer games made their way out of the neon-lit arcades of the 1980s, players faced AI opponents, such as the paddle in the iconic Pong game from 1972. Since then, artificial intelligence (AI) has grown exponentially, and new discoveries have ushered in the age of generative AI, which has the potential to drastically alter both the gaming industry and the medium itself.

Video games have always been among the first to adopt new technologies. Gamers anticipate larger worlds, more interactive non-player characters (NPCs), and improved graphics with each new release, and that’s just the beginning. Game developers must be ambitious, continuously iterate, improve, and provide players with more in an ever-more-competitive business environment where game releases are scrutinized by the public more than ever. This raises an issue: how can games get infinitely better when money and time are limited resources?

After eight years and €260 million of development, Cyberpunk 2077 was released in 2020 to mixed reviews because it was thought to be unfinished and had some bugs. It did not align with the high hopes and promises made by developer CD Projekt. While the developer deserves credit for allocating resources to resolve the problems and raise the game’s quality and stability to the desired level, there needs to be more done to address the issue than simply loading up already overworked game development teams with more work.

Perhaps giving AI more authority will be the solution.

Gen AI, year 0: Current state of AI

AI’s potential and, consequently, the value it offers, are at an all-time high due to recent advancements. Consider ChatGPT as an example of how advances in Natural Language Processing (NLP) have greatly improved AI’s capacity to comprehend and produce language. AI can now produce images, videos, and audio thanks to new generative models; Midjourney is one example. AI is able to learn by competing with itself thanks to reinforcement learning. This is how AlphaGo taught itself to win the board game Go, a feat that was previously believed to be beyond the capabilities of AI due to the game’s nearly endless possibilities.

These developments have not happened by themselves. These are the outcome of more general macrotrends, such as the development of massive datasets (like ImageNet), the enhancement of software (cloud/distributed computing) and hardware (graphics cards), and the rise in specialized labor. As a result, the AI tools we use on a daily basis will become increasingly more powerful, contributing to the industry’s aim of making games significantly better.

AI will first affect conventional procedures like the development, release, and management of video games. The development of AI-first games and the advancement of AI-enabled human-machine interfaces will then be observed.

Better, Faster, Stronger, Simpler: How AI Is Changing the Game Production Process Producing games involves a wide range of content types.

Production times will be significantly accelerated if these can be generated automatically. We’ll witness automation of game audio, text, and even the code, in addition to the visual components of the games, such as 2D assets (like Scenario) and interfaces, 3D assets (like Sloyd), character animations (like Kinetix), and fluid simulation (like Zibra).Code quality assurance and game localization—tasks that game developers view as necessary—will gradually be automated. Shorter development cycles and more ambitious games from both big and small studios will become the standard, even though this won’t be immediately apparent to players.

Teams can use generative models to create the necessary text and graphics, as well as to develop and implement comprehensive marketing plans, which will streamline the distribution of games. With the use of AI technologies like Powder, clips created automatically from streams will enable large-scale, organic creator-led game discovery.

Some of the most played games nowadays are evergreens; unlike the previous model, which offered a predetermined amount of gameplay, games are updated with new content on a regular basis; this is known in the industry as “LiveOps” (Live Operations). AI can help LiveOps by ensuring that newly added characters don’t upset the game’s equilibrium and by ensuring that games are safe environments to play in thanks to AI moderation.

Redefining Play: A Path to AI-Prime Games and Innovative Human-Machine Interfaces

There will be exciting new game genres in the medium term. The pinnacle of artificial intelligence in gaming will appear when titles adjust to the player both graphically and narratively (think Scriptic, for example). The video and music industries are already exhibiting the first indications of this content, with algorithms suggesting highly customized digital content to consumers. The narrative of video games will change in the future as players engage with sentient non-player characters—AI agents that actively contribute to your progress. NPCs will engage in real dialogue, express opinions, and react to player actions in a way that is authentic rather than being restricted to a vast array of pre-written responses.

AI promises completely new forms of interaction in addition to opening up new game genres, changing the way we interact with the medium. Voice and even thoughts will gradually become viable replacements for keyboards, mice, touch screens, and controllers. Just as Neuralink’s Monkey MindPong allows users to think about how they would like to play the game, players will converse with their devices.

Furthermore, being able to freely create content for the game is just as important as having control over its events. Scientists have shown off believable thoughts-to-images technology. Is this the pinnacle of speech-to-text evolution leading to the creation of 3D worlds?

With its rapid advancements, AI will have a significant impact on the gaming industry, and 2023 is only the beginning. In the near future, larger, better-quality games will be shipped more quickly. Anticipate AI-first games and novel ways to engage with them in the medium future. AI will have a significant impact on making the gaming industry healthier and more prosperous. From Pong, we’ve come a long way, and we still have a long way to go.


Verituity Secures $18.8 Million for Expansion of AI-Driven Verified Payout Platform



In order to finance the expansion of its verified payout platform for businesses and consumers, Verituity has raised $18.8 million.

According to a press release from Verituity on Friday, June 21, the company plans to use the additional funds to expand into new markets like mortgage servicing and energy, enhance its growth in the banking and insurance sectors, and continue developing the machine learning (ML) and artificial intelligence (AI) models that underpin the platform.

According to the press release, Ben Turner, CEO of Verituity, “orchestrates billions of dollars in verified B2B and B2C payouts by empowering businesses and banks to deliver trusted and intelligent payments on-time to known individuals and businesses.” “As we continue on our journey to ultimately do away with checks and integrate intelligent, verified payouts into the very fabric of business disbursements, I look forward to working with our investors.”

According to the statement, the company’s technology adds intelligence to each disbursement and knows and validates every payer, payee, account, and transaction.

According to the release, doing so reduces risks, maximizes payout economics, and guarantees that digital payments are made on schedule, to the correct payee and payment account, and from the correct funding account.

Sandbox Industries and Forgepoint Capital spearheaded the company’s most recent round of funding.

According to a press statement from Sandbox Industries, Chris Zock, managing partner and co-CEO, Verituity’s “unique approach to embedding verification into payouts and handling the complexity of connecting legacy treasury systems to digital payments is transformative for the industry—“

Verituity, according to Don Dixon, co-founder and managing director of Forgepoint Capital, is “well positioned to take full advantage of the rapid transformation underway in disbursements” because it combines intelligent payments, trust, and verification.

Verituity and Mastercard partnered in April to allow commercial banks and payers to make payments almost instantly.

Mastercard’s suite of local and international money transfer options, Mastercard Move, is integrated into Verituity’s white-labeled payments platform as part of that partnership. The Verituity platform will be able to provide consumers with fast payee and transaction verification as well as a shorter time to market thanks to this connection.

In a press statement announcing the collaboration, Turner stated, “We’re excited to work with Mastercard to include more banks in the safe disbursement and remittance ecosystem.”

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Anthropic, an OpenAI Rival, Revealed its Most Potent AI to Date



Anthropic, an OpenAI rival, unveiled Claude 3.5 Sonnet, their most potent AI model to date, on Thursday.

Claude is one of the chatbots that has become quite popular in the last year, along with Google’s Gemini and OpenAI’s ChatGPT. Google, Salesforce, and Amazon are among the supporters of Anthropic, which was created by former OpenAI research executives. It has closed five financing arrangements worth a combined $7.3 billion in the last year.

The announcement comes after OpenAI’s GPT-4o in May and Anthropic’s Claude 3 family of models, which debuted in March. Claude 3.5 Sonnet, the first model in Anthropic’s new Claude 3.5 family, is faster than the business’s previous top model, Claude 3 Opus, according to the company.

The company’s website and the Claude iPhone app offer Claude 3.5 Sonnet for free. Higher rate limit models are available to subscribers of Claude Pro and Team.

In addition to creating excellent content in a conversational, natural tone, the system “shows marked improvement in grasping nuance, humor, and complex instructions,” according to a blog post from the business. Code can be written, edited, and run by it as well.

Anthropic also unveiled “Artifacts,” a feature that enables users to instruct its chatbot, Claude, to execute tasks like creating code or text documents, and then view the outcome in a separate window. Code development, business report authoring, and other tasks are anticipated to benefit from Artifacts, according to the company. “This creates a dynamic workspace where they can see, edit, and build upon Claude’s creations in real-time,” the statement continued.

As generative AI startups like Anthropic and OpenAI gain traction, they are competing with tech behemoths like Google, Amazon, Microsoft, and Meta in an arms race to incorporate AI technology and stay ahead of a market that is expected to generate $1 trillion in revenue over the course of the next ten years.

Anthropic debuted its first-ever enterprise product in May, and news of its new model followed.

Anthropic co-founder Daniela Amodei told CNBC last month that the plan for businesses, called Team, had been in development for the past few quarters and involved beta-testing with between 30 and 50 customers in industries like technology, financial services, legal services, and health care. According to Amodei, many of those same customers requested a specific corporate solution, which served as inspiration for the service’s concept.

At the time, Amodei remarked, “So much of what we were hearing from enterprise businesses was that people are kind of using Claude at the office already.”

Mike Krieger, co-founder of Instagram, joined Anthropic as chief product officer last month, not long after the business unveiled its new product. According to a release, Krieger, the former chief technological officer of Meta-owned Instagram, expanded the platform’s user base to 1 billion and boosted the number of engineers on staff to over 450. Jan Leike, a previous leader in safety at OpenAI, also joined the business in May.

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Materia Unveils GenAI Platform for Public Accounting Firms After Exiting Stealth



With more than $6.3 million in funding, Materia has emerged from stealth to introduce a generative artificial intelligence (AI) platform designed especially for public accounting companies.

According to a press release released by the company on Thursday, June 20, the platform’s goal is to give these businesses intelligent technology that will free up time they now spend on numerous low-value, tiresome, daily tasks.

The CEO and co-founder of Materia, Kevin Merlini, stated in the press release that the company was formed to meet this pressing demand for time-saving solutions that would also assist in handling the laborious and heavy lifting associated with daily workflows while maintaining a high standard of accuracy and security.

The press announcement states that the company’s technology compiles internal knowledge from businesses into a safe Knowledge Hub. Thus, it establishes a silo-bridging, structured corporate search layer.

According to the announcement, this hub is then used by the Materia AI Assistant and Document Analysis Workspace, which use the data to give trustworthy data based on proprietary knowledge and recognized accounting standards.

According to the announcement, the platform is made to be adopted in a matter of days, provides responsible AI that is supported by meticulous accuracy testing conducted by CPA subject matter experts, and provides a approach for organizations that require specific customisation or interfaces.

Natalie Sandman, a general partner at Spark Capital, which led the funding, stated in the statement that the company already works with prestigious national firms and that the feedback from these clients has been “overwhelmingly positive.”

According to Sandman, “We think Materia’s AI solution will revolutionize the accounting industry by expediting routine tasks for accounting professionals and enabling them to deliver higher-quality services to their clients more effectively.”

According to PYMNTS Intelligence, chief financial officers (CFOs) are using AI to increase a variety of organizational efficiencies. The requirement for lower-skill personnel has decreased, according to 63% of CFOs, and they now require more individuals with analytical skills, according to 58% of them.

This past March, AI company Fieldguide reported raising $30 million for their accounting sector product, marking another recent fundraising event in this space. CPAs can have more time to work on high-value tasks by using Fieldguide’s AI solution, which can automate workflows and streamline operations.

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