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Adobe Expands Its AI Ambitions With Launch of Adobe AI Foundry for Custom Enterprise Models

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Adobe has deepened its investment in artificial intelligence with the launch of Adobe AI Foundry, a new platform that enables enterprises to build custom generative AI models trained on their own branding and intellectual property.

The move marks a major step in Adobe’s strategy to dominate the enterprise creative technology space, bridging its decades-long expertise in digital design with the surging demand for brand-specific AI solutions.

The foundry, announced on Monday, allows companies to create tailored AI systems capable of generating text, images, videos, and even 3D scenes. These custom tools are built on top of Adobe Firefly — the company’s family of generative AI models introduced in 2023 and trained exclusively on licensed data to avoid copyright disputes. Through the foundry, Adobe collaborates with each enterprise to fine-tune Firefly models to reflect their unique brand identity and creative standards.

Unlike Adobe’s traditional pricing structure, which is often based on user seats, the new foundry service will operate on a usage-based pricing model. This shift highlights Adobe’s move toward more scalable, enterprise-focused AI solutions designed to grow alongside client demand.

Hannah Elsakr, Adobe’s Vice President of Generative AI New Business Ventures, described the foundry as a natural extension of Adobe’s creative tools.

“This is elevating a lot of the capabilities we already had,” she told TechCrunch. “The enterprise has asked us to come in and advise us, help us, partner with us, be our premier creative marketing AI partner on this.”

Since the launch of the Firefly models last year, enterprises have already generated more than 25 billion assets using the technology, according to Adobe. The new foundry offering builds on that momentum, allowing companies to integrate generative AI more deeply into their content pipelines and marketing strategies.

Elsakr explained that brands will be able to use custom Adobe models to automate large-scale campaign adaptation — for example, generating the same ad campaign for different seasons, languages, or regions without sacrificing visual or brand consistency.

“It’s highly personalized,” she said. “We’ve been talking about personalized commerce for so long, but generative AI and Firefly make it possible to put the brand in the hand of the consumer in an on-brand way.”

Still, Elsakr emphasized that Adobe’s goal is not to replace human creativity but to enhance it.

“Our stance is humanity is at the center of creativity and that can’t be replaced,” she said. “We have been for decades in the business of providing creative tooling that helps uplift narrative, storytelling, and your ability to envision and execute your creative vision. Firefly and Foundry are just the next evolution of giving you tools that elevate your ability to tell a story.”

The launch of Adobe AI Foundry comes amid intensifying competition in the generative AI space. Tech giants like Microsoft, Google, and OpenAI have rolled out enterprise-grade AI tools promising similar customization capabilities. However, Adobe’s longstanding reputation in design and content creation could give it an edge among marketing, media, and advertising professionals who require brand-safe, rights-cleared AI solutions.

The company appears poised to redefine how brands produce and scale digital content — while reinforcing its dominance in the creative software ecosystem.

OpenAI Cofounder Andrej Karpathy Says AI Agents Are “Cognitively Lacking,” Predicts Another Decade Before They Work

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Even in the fast-evolving world of artificial intelligence, patience remains a virtue — at least according to Andrej Karpathy, one of OpenAI’s cofounders and one of the most influential engineers in the field.

Speaking on the Dwarkesh Podcast last week, Karpathy delivered a sobering assessment of the current hype surrounding AI agents, calling them “not that impressive” and far from functional.

“They just don’t work,” Karpathy said bluntly. “They don’t have enough intelligence, they’re not multimodal enough, they can’t do computer use and all this stuff. They don’t have continual learning. You can’t just tell them something and they’ll remember it. They’re cognitively lacking, and it’s just not working.”

Karpathy, who now leads Eureka Labs, an initiative developing an AI-native school model, estimated that it will take about a decade to fix these shortcomings.

His remarks come amid a growing wave of optimism about autonomous AI systems, often dubbed “agents,” which many investors and tech analysts have called the defining innovation of 2025. These AI agents are designed to operate independently — executing multi-step tasks, writing code, and completing complex workflows with minimal human input.

But for Karpathy, the enthusiasm has run ahead of reality. Following the podcast, he clarified his stance in a post on X (formerly Twitter), warning that the industry is “overshooting the tooling with respect to present capability.”

“The industry lives in a future where fully autonomous entities collaborate in parallel to write all the code and humans are useless,” he wrote. “I don’t want to live there.”

Karpathy’s ideal vision for AI is one of collaboration, not replacement. He described a future where humans and AI systems work together — with AI tools serving as intelligent partners that assist, verify, and improve human output, rather than generating vast quantities of unchecked code or content.

“I want it to pull the API docs and show me that it used things correctly,” he said. “I want it to make fewer assumptions and ask or collaborate with me when not sure about something. I want to learn along the way and become better as a programmer, not just get served mountains of code that I’m told works.”

He also warned that fully autonomous agents could lead to a flood of what he called “AI slop” — low-quality, machine-generated content that saturates digital platforms and diminishes the value of human creativity.

Karpathy’s skepticism aligns with a growing undercurrent of caution in the AI community. Last year, ScaleAI’s growth lead, Quintin Au, raised similar concerns in a LinkedIn post, arguing that AI agents’ reliability drops sharply as tasks grow more complex.

“Currently, every time an AI performs an action, there’s roughly a 20% chance of error,” Au wrote. “If an agent needs to complete five actions to finish a task, there’s only a 32% chance it gets every step right.”

However, Karpathy made clear that his critique is not rooted in disbelief about AI’s potential.

“My AI timelines are about 5–10X more pessimistic with respect to what you’ll find at your neighborhood SF AI house party or on your Twitter timeline,” he said. “But still quite optimistic with respect to a rising tide of AI deniers and skeptics.”

His comments adds to a growing divide in the AI world — between those who believe human-level autonomous systems are just around the corner, and those like Karpathy who argue that real intelligence, memory, and adaptability will take years of refinement.

Karpathy believes the future of AI may be intelligent, but it will not arrive overnight — and it certainly won’t work without humans in the loop.

Top 4 Presale Crypto Coins Set to Explode in Q4: Don’t Miss BlockDAG, Maxi Doge, Bitcoin Hyper, & Pepenode in 2025

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As Q4 2025 unfolds, the crypto market is buzzing with activity, and buyers are scanning for presale coins set to make an impact before year-end. Several projects are capturing attention for their unique features and community engagement. Maxi Doge is gaining traction with its NFT integrations and newly launched staking pools, offering holders additional utility. Bitcoin Hyper positions itself as a micro-cap alternative to Bitcoin, appealing to retail buyers looking for accessible entry points.

Pepenode combines decentralized finance (DeFi) mechanisms with meme-driven liquidity farming, creating a hybrid model that resonates with younger buyers seeking both engagement and earning potential. Together, these projects illustrate the diverse strategies shaping Q4, providing a snapshot of presale coins attracting attention heading into 2026.

1. BlockDAG: The Blockbuster Presale Success

BlockDAG has been the talk of the crypto community this year, especially with its impressive presale performance. With over $425 million raised and 312,000+ holders, BlockDAG has surpassed expectations, showing that transparency and tangible progress can drive massive buyer trust. The project’s recent launch of the “TGE” code introduces ranked airdrops for presale participants, further fueling excitement ahead of Genesis Day on November 26. This system offers buyers rank-based access to airdrops, ensuring early participants get priority access and maximized potential for returns.

The presale journey has been nothing short of spectacular, with current batch 31 priced at $0.0304, offering an ROI of 2940% since batch 1. However, BlockDAG (BDAG) is still available at a special price of $0.0015 for a limited time, presenting an incredible opportunity for late buyers. Over 27 billion coins have already been sold, a clear sign of strong community support and interest in the project’s future.

Beyond the presale figures, BlockDAG is making its presence felt through tangible milestones. Its plug-and-play miners are already shipping globally, while the Awakening Testnet is stress-testing the blockchain’s capabilities. Furthermore, the BWT Alpine F1® Team partnership has garnered significant media attention, positioning BlockDAG as a blockchain player that’s not just on paper but also in real-world application. With the launch approaching, BlockDAG is undeniably one of the top presale crypto coins to watch as 2025 rolls on.

2. Maxi Doge: Riding the Meme Coin Wave

Maxi Doge is making significant waves in the crypto scene, tapping into the meme coin hype with a strong community and recent innovations. Recently, Maxi Doge launched its staking pools and NFT integrations, adding more utility to the coin and driving fresh interest from Telegram communities. With meme coins continuing to gain momentum, Maxi Doge is proving that it can compete with the giants of the space like Dogecoin, but with the added benefits of staking and decentralized finance (DeFi) features.

Maxi Doge’s price has been climbing steadily as more investors flood in, attracted by its staking rewards and NFT collaborations. The staking pools have provided a passive income stream for holders, while the NFT integrations have created a new ecosystem for enthusiasts and collectors. As the community-driven project continues to grow, Maxi Doge is positioning itself as one of the top meme coins with real utility. This makes it a solid pick for anyone interested in the best crypto to buy now, especially with its strong community presence and viral potential.

3. Bitcoin Hyper: The Micro-Cap Bitcoin Alternative

Bitcoin Hyper is gaining a loyal following, establishing itself as the micro-cap alternative to Bitcoin. While Bitcoin remains the undisputed leader in the crypto world, Bitcoin Hyper is capitalizing on its similarity in name and its lower price point to appeal to retail investors looking for a “Bitcoin-like” experience without the hefty price tag. As the presale picks up momentum, Bitcoin Hyper is positioning itself as the go-to coin for those wanting to invest in a smaller but potentially explosive asset.

Bitcoin Hyper’s presale price has been rising, but it remains a fraction of Bitcoin’s value, making it an attractive choice for those who want to participate in the next big thing in crypto without committing large sums. Its growing community and increasing attention on social media are helping it gain cult-like status among altcoin enthusiasts. As it builds momentum, Bitcoin Hyper is shaping up to be a top contender in the altcoin space, especially with its focus on mimicking Bitcoin’s core principles while offering a more accessible price point for new investors.

4. Pepenode: DeFi Meets Memes for Gen Z Investors

Pepenode is a unique project that combines decentralized finance (DeFi) features with meme-driven liquidity farming, making it particularly appealing to younger investors. This hybrid model has made Pepenode a standout in the market, offering automatic liquidity farming with the potential for high rewards. By merging memes with serious DeFi mechanics, Pepenode is capturing the attention of Gen Z buyers who are drawn to both the entertainment factor of meme coins and the earning potential of DeFi protocols.

Pepenode’s airdrop system has also been a hit among users, rewarding early adopters with lucrative bonuses. This strategy has helped the project gain rapid traction, particularly across social platforms like Telegram and Discord. With a community of investors who are passionate about both memes and decentralized finance, Pepenode is one to watch as it continues to grow in popularity. For anyone looking for a fresh alternative to traditional altcoins, Pepenode offers an exciting fusion of entertainment and investment opportunity.

Key Takeaways

Q4 is shaping up to be an exciting period for crypto buyers, with BlockDAG, Maxi Doge, Bitcoin Hyper, and Pepenode standing out as the top presale crypto coins. BlockDAG’s presale success, real-world partnerships, and transparent progress make it a standout project, while Maxi Doge’s meme-fueled popularity and staking pools are attracting new buyers.

Bitcoin Hyper offers a micro-cap alternative to Bitcoin, and Pepenode is gaining traction among Gen Z buyers with its unique blend of DeFi and meme-driven liquidity farming. These coins are making noise in the crypto space, and with the end of 2025 approaching, they’re all positioning themselves for a big 2026. Keep an eye on these projects as they continue to rise in the ranks and gain attention from both retail and institutional buyers.

How Casual and Mobile Gaming Became Big Business

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Few people anticipated the rise of mobile gaming as an incredibly profitable segment of the entertainment industry when it first appeared in the early 2000s. What began as a place for rudimentary, time-passing games like Snake or Tetris on the first cellular devices, has now become a massive global industry worth more than 90 billion dollars each year.

The transition from mere entertainment to blowing up into complex ecosystems has fundamentally altered aspects of game development, publication, and monetization. Today mobile games such as Candy Crush Saga, Genshin Impact, and Roblox are not only “games” but are also digital empires generating millions of dollars in revenue from in-app purchases, cross-platform branding, and user-generated activities.

The underlying force for this transformation is accessibility. Gaming became democratic thanks to smartphones. It became a common activity for those commuting on the train, for parents waiting for their kids, and even today’s retirees who were discovering fun and activities on the digital smartphone or tablet for the first time.

Candy Crush Saga is probably the best example of this approach, where it took simple puzzle-style mechanics for a free game and created a multi-billion dollar empire for things like extra lives and power-ups. Suddenly, what looked like a harmless little casual game turned into one of the most profitable mobile games of all time, showing that mobile games can also compete with AAA+ videogame franchises.

Data, Monetization, and the Power of Retention

With increasing sophistication of mobile games, along came data analytics. Games were no longer static, they were dynamic systems that adapted to player feedback and behavior.

Genshin Impact is a perfect example. It has gathered a status of cult game in barely months after its release, blending anime culture with RPG gaming as the game combines open-world exploration with a “gacha” mechanism, in which players earn characters by random draws.

And other successful games like Genshin Impact, which include Candy Crush or Clash of Clans have taken many of their strategies from other entertainment industries that have proven successful by implementing data analysis in their game development practices.

An example of an industry that meets this criteria is the casino gaming industry, which has been an example since they were one of the first gaming industries to migrate to the online world, taking the traditional casino games they deliver in an online form dating back to the late 1990’s.

Today, many online casinos are using data-based insights to find the right balance between user fun and retention by providing attractive and relevant incentives that align with user wants and needs. Bonuses can take any form, from welcome bonuses, to free throws or anything to provide users with additional reason to remain connected and perhaps find some extra time to play.

Mobile gaming monetization tactics have advanced impressively, with the whale model being a case in point. The model acknowledges that a very small percentage of players drive most of the revenue. Thus, developers will attempt to design in-game economies that appeal to casual players as well as the hefty spenders. In addition, ad-based monetization helps ensure that even free players contribute to the revenue through impressions and video views. For example, Roblox has gone even further by establishing entire economies for specific games, where players can create, sell, and generate profit selling virtual goods.

Cross-Media Expansion and the Future of Casual Gaming

What makes mobile games digital empires is their capacity to stretch beyond the platform. Popular games no longer live solely in the app store; they have extended into fashion, television and even education. For example, Roblox has developed into a creative ecosystem in which users, like you, are able to create their own games and monetize their game creations. It is a social network, business platform, and a creative kit rolled into one. The expansion of Roblox has made it a cultural phenomenon; young audiences, in particular, view it as a digital playground where imagination and economy meet.

On the other hand, Genshin Impact instead put a heavier focus on world-building and depth with the story. The game has graphics similar to anime and has moved from mobile to console and PC. There is a giant worldwide fandom that has engaged with the game by not just playing, but creating fan art, collaborating in music, and hosting fandom events.

It is possible that the mobile gaming future follows the same trajectory as streaming platforms have. Just like how Netflix and Spotify have created a more personal level of entertainment, mobile games too, will continue to make themselves tailored to all of our habits and preferences further improving our gaming experience.

How Data Analytics is Changing Online Gambling

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Gambling has always been associated with luck and random factors that make up the gaming experience so engaging. The spin of the roulette wheel for instance, or the drawing of cards, all operate on the element of luck that creates excitement and adds uncertainty.

But in today’s online gambling experience, luck is just one player at the table. Beyond the bright lights and flashing animations of winnings, there is a complex web of data analytics, artificial intelligence and behavioral modeling that is changing the way we enjoy online casinos.

For online operators, moving toward a more data-infused decision-making process isn’t only about profit, it’s about precision. Much like Netflix tries to predict what series you’ll binge watch next, or how Spotify builds playlists based on your preferred tracks, casino sites are starting to learn how to anticipate what the player wants.

An intriguing example of this is watching casinos use data to recommend games, or promotional offers based on a particular player’s activities. For instance, if a player has a preference for the slot machine category, the program may suggest a game with higher variance, or one with additional interactive bonus rounds that present a unique experience.

Likewise, when a player is introduced to a special promotions like the no deposit bonuses, analytics determines which users are more likely to act on such promotions. These campaigns, when targeted, are more effective, as they promote bonuses or promotions to players who will actually enjoy them, rather than blatantly pushing a boring promotion to everyone.

The Power of Predictive Analytics

Rather than simply tracking past activity, the goal of modern casino systems is to utilize algorithms to predict what a player may do next. These systems analyze the frequency of play, spending patterns, and even the duration of sessions to determine which players may be showing risk of stopping or even which ones may be showing early symptoms of problematic gambling behavior.

This predictive model is widespread in entertainment industries. Streaming media services, social media, and e-commerce sites used this approach years before gaming and with much success in keeping users engaged in their products. Netflix predicts the next show you might want to watch, based on your previous interactions, and Amazon might even know what you want to buy without any browsing activity. Online gambling sites generally operate in the same manner, but again also focus more on responsible gaming rules and overall responsible gambling.

Think about responsible gambling programs. Through the analysis of data, operators may be able to see when a specific player’s activities might shift, thus indicating a possible loss of control. Instead of waiting for something to arise, the system may also just be able to intervene entirely, and provide warnings to help engage in healthy interactions with play. This is not only a protective initiative, but it is also a clear signal of the industry’s commitment to social responsibility.

Predictive analytics has changed the way casinos think about retention from a business vantage. If casinos are able to determine a timeframe when a player is about to log off, or go to play with a competitor, then they can tailor their incentives and recognition timing to those moments.  Whether it be yet another noisy pop-up that rewards the user with free spins at that moment, or offering returning users some other incentive, data allows for the crafting of a perpetuating cycle for engagement.

The Intersection of Data, Ethics, and Experience

In any case, an abundance of data brings with it ethical responsibilities. Transparency and security need to govern the gathering and analysis of user data. The objective is not to induce behavior but improve the user experience while not compromising fair play or safety. That is where the importance of regulation becomes critical. More and more licensed operators are being asked to demonstrate compliance with privacy laws, and to show that their algorithmic use of data does not exploit vulnerable players.

Similarly to how fintech startups take advantage of data to give personalized financial advice, gambling operators rely upon data itself to balance the responsibility and profitability. The concern has shifted from the volume of customers to the value of a player; rather than treating every user as a transaction, understanding the player in a holistic manner. Many modern casinos have the mission of long-term sustainability contingent on being able to keep the player entertained and responsible at the same time.

In addition to compliance, data analytics is changing the development of games themselves, as studios are now designing games using information players want and that continuously changes even based on taste.

As the online gambling sector continues to get more competitive, the savviest operators know that numbers are telling a story. Data analytics highlights the narrative thread that connects behavior, motivation, and satisfaction. When used responsibly, data analytics can elevate the connection between players and their platforms from one of engagement into one that is informed, open, and beneficial for the player, as well as for the operator.