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Bitcoin Rebounds Amid Renewed Optimism and Institutional Confidence

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The price of Bitcoin has recorded a significant recovery, gaining momentum early Monday after the crypto asset retraced from $103,437.

Data from CoinDesk revealed that Bitcoin climbed 2.9% in the past 24 hours to reach $111,090. The uptick reflected renewed risk appetite as hopes rose for a de-escalation in U.S.–China tensions. President Donald Trump confirmed plans to meet Chinese President Xi Jinping in South Korea in two weeks, following threats of fresh tariffs on China.

Speaking with Fox Business, Trump expressed confidence in an eventual positive outcome, stating, “We’re going to be fine with China.”

Market sentiment was further boosted by cautiously optimistic economic data from Asia. China’s third-quarter GDP growth came in at 4.8%, in line with LSEG expectations, while Japan’s benchmark Nikkei 225 jumped 3.4% to close at a record high.

Shares of cryptocurrency exchanges Coinbase Global and Robinhood Markets also advanced between 3% and 4% in premarket trading, tracking the upward move in crypto prices. This came despite operational disruptions caused by a major Amazon Web Services (AWS) outage.

Other top-cap cryptocurrencies took cues from Bitcoin, with Ethereum rising 4.6% to reclaim the key $4,000 level. XRP, Solana, BNB and Dogecoin (DOGE) rose 3% to 5% over the past 24 hours. The global crypto market capitalization was up 4.6% to $3.78 trillion.

Despite Bitcoin price recovery, analysts suggests that Bitcoin might be showing early signs of bottoming out, even as gold’s powerful rally appears to have peaked. The precious metal, which reached an all-time high of around $4,380 per ounce on Friday, has since fallen by 2.9%, though it remains up over 62% year-to-date. Bitcoin may face challenges as long-term holders continue to take profits, analysts cautioned.

Market expert James Check dismissed conspiracy theories around price manipulation, noting that the crypto sell-off was driven simply by “good old-fashioned sellers.” Meanwhile, social media personality Andrew Tate warned that Bitcoin could still fall to $26,000 before forming a true market bottom, arguing that persistent optimism among traders could prolong the downturn.

CryptoQuant analyst Julio Moreno highlighted a key technical shift after Bitcoin broke below its previous consolidation range of $120,000–$108,000, drawing attention to $100,000 as the next major support level. Using the On-chain Realized Price Bands metric, Moreno identified this zone as a critical threshold that could determine the next phase of Bitcoin’s price movement.

Despite short-term volatility, institutional sentiment toward Bitcoin remains overwhelmingly positive. According to a recent Coinbase Institutional report titled “Navigating Uncertainty”, 67% of surveyed institutional investors expressed a bullish outlook for Bitcoin over the next three to six months.

Institutional activity continues to support the market’s resilience. Coinbase’s Head of Research, David Duong, noted the strong influence of digital asset treasury firms in stabilizing markets. BitMine, chaired by Tom Lee, has reportedly purchased over 379,000 Ether (ETH) worth nearly $1.5 billion following the recent crash that pushed ETH below $4,000. Similarly, MicroStrategy founder Michael Saylor hinted that his firm may increase its Bitcoin holdings, after sharing data showing $69 billion in reserves.

Analysts agree that the $100,000 mark remains a psychologically and technically significant level for Bitcoin. A sustained defense of this support could reinforce investor confidence, while a break below it could spark widespread selling among short-term holders seeking to minimize losses.

Outlook

For now, optimism is cautiously returning to crypto markets, buoyed by institutional confidence and improving macroeconomic sentiment. Investors however remain cautious in the market incase of a significant pullback.

Palantir CTO Warns of U.S. Economic Dependence on China, Says “We’re Funding Our Own Demise”

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Palantir Technologies Chief Technology Officer Shyam Sankar has warned that the United States is already in an “economic war” with China and must recognize its dependence on Beijing as a national weakness.

Writing in an opinion piece published by The Wall Street Journal, Sankar argued that the U.S. is dangerously reliant on China for manufacturing and supply chains, and that many business leaders still refuse to acknowledge this reality.

“The first step to ending our dependence on China is admitting we have a problem,” Sankar wrote. “We can continue as useful idiots, decrying ‘China hawks’ who point out that we’re funding our own demise. Or we can wake up to the reality that we’re already in an economic war in which every purchase and investment will help determine which system survives.”

Sankar’s remarks, which mirror growing concern among U.S. policymakers about China’s rise as a technological and economic powerhouse, come amid a widening rift within Silicon Valley over how to deal with Beijing. The Palantir executive took aim at the complacency of corporate America, accusing some executives of ignoring the long-term risks of dependence on China’s market and infrastructure.

While Sankar did not name anyone directly, his critique appeared to counter recent comments by Nvidia CEO Jensen Huang, who said that being labeled a “China hawk” should not be considered a mark of honor. Huang told attendees at a conference earlier this year that it “doesn’t have to be all us or them. It could be us and them.” He argued that technological collaboration between the world’s two largest economies should not be viewed through a zero-sum lens.

Huang, whose company once relied heavily on Chinese demand for its advanced graphics chips, has consistently warned that export controls could harm U.S. interests. He said last year that restrictions on high-end chip sales to China could backfire, noting that “if [the U.S.] loses access to that market, companies like Huawei will define global standards.” Nvidia’s market share in China — once estimated at 95% in the data center GPU segment — has since fallen to near zero following Washington’s tightening of semiconductor export rules.

Sankar’s view sharply contrasts with Huang’s stance. He argued that China’s long-term strategy is to use foreign companies only until it can develop domestic substitutes. Once that happens, he warned, Beijing would flood the global market with cheaper alternatives while simultaneously limiting access to its own market for Western firms.

“China is using foreign companies to support its goals until it can develop a credible home-grown challenger,” he wrote.

Despite his criticism of China’s practices, Sankar acknowledged that U.S. corporations have played a major role in enabling China’s rise.

“American companies have been an undeniable part of China’s growth,” he noted, citing the investments of firms like Apple, Tesla, Intel, General Motors, Procter & Gamble, and Coca-Cola. The combination of Western capital, technology, and expertise, he said, has helped China become the world’s manufacturing hub.

Analysts have long argued that multinational companies remain in China not only because of low labor costs but also because it is the only nation that has built a complete, reliable supply chain for high-tech manufacturing. That advantage, Sankar warned, has left Washington in a precarious position — one in which it cannot easily disengage without economic disruption.

He urged U.S. policymakers and business leaders to face the problem directly by rebuilding the nation’s industrial base.

“While Washington does not have to completely stop trade with China, it does have to take steps to build alternative markets and supply chains,” Sankar wrote.

His position aligns with growing bipartisan calls in Congress to “de-risk” supply chains by diversifying production to allied nations like India, Vietnam, and Mexico.

Sankar also warned that the United States is running out of time to act. “The current situation will only get worse if the U.S. does not take action today,” he said, quoting American author Upton Sinclair: “It is difficult to get a man to understand something, when his salary depends upon his not understanding it.”

The line, he implied, captures the reluctance of U.S. executives to accept that their dependence on China poses strategic risks.

Economists say the trade relationship between the U.S. and China, the world’s two largest economies, has grown increasingly complicated since Washington began imposing tariffs and export restrictions during the Trump administration. President Donald Trump’s 2018 tariffs on Chinese goods, which targeted industries like steel, electronics, and solar panels, were meant to reduce trade imbalances and push companies to reshore production. Those measures were later expanded to include restrictions on semiconductors, artificial intelligence, and other critical technologies.

The Biden administration had largely maintained and expanded those controls, introducing new rules in 2023 to restrict the sale of advanced AI chips to China. Nvidia, AMD, and Intel were all forced by current Trump administration to develop modified versions of their products to comply with the new export standards. Beijing, in turn, has responded with curbs on Rare Earth materials like gallium and germanium, which are essential for chipmaking.

The result, analysts say, is a de facto economic standoff — one that Sankar argues the U.S. cannot afford to ignore. His warning reflects a growing school of thought in Washington that sees economic competition with China as an existential struggle, not merely a trade dispute.

“Every purchase and investment,” Sankar wrote, “will help determine which system survives.”

But shifting away from China will not be easy. American consumers have become accustomed to low-cost goods manufactured in Chinese factories, and U.S. companies still rely on China’s industrial ecosystem for mass production. Economists say that rebuilding domestic supply chains could take decades and require unprecedented public and private investment.

Sankar acknowledged the difficulty of the path ahead but insisted that denial is no longer an option. “It’s only with that realization that the United States can take the painful but necessary steps to ensure that it remains sovereign,” he concluded, warning that Beijing’s ambitions for global supremacy will not wait for American complacency to fade.

At the heart of Sankar’s argument is a call for strategic clarity — a demand that Washington and Silicon Valley recognize that globalization has costs as well as benefits.

BNB’s 13% Rally, DOGE’s $0.23 Target, & BlockDAG’s $430M Presale: 3 Coins Shaping Crypto’s Next Big Wave

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The crypto market is heating up once again. Binance Coin (BNB) has surged more than 13%, climbing past $1,280 and reigniting talk of a potential long-term rally. Dogecoin (DOGE) is also flashing bullish signals as its chart forms a pennant pattern that could push prices beyond $0.23 if momentum continues.

But while traders chase short-term setups, another story is quietly stealing the spotlight. BlockDAG (BDAG), a next-generation Layer-1 project, has raised $430 million in its presale at just $0.0015 per coin, turning early buyers into believers in its long-term trajectory.

Audited by CertiK and Halborn, BlockDAG is attracting serious attention. Its thriving testnet, growing base of over 3.5 million users, and strong real-world utility position it as the best crypto platform to watch before Genesis Day reshapes the market conversation.

BNB Climbs 13% as Possible Bull Run Builds

BNB, the native token of Binance, has gained more than 13% to trade near $1,288, supported by a sharp 55% rise in daily trading volume to $10.7 billion. This uptick aligns with a 4.5% overall market increase, reflecting improving sentiment across major assets like Bitcoin and Ethereum.

The move above key resistance levels between $1,150 and $1,310 highlights renewed buyer confidence. Technical indicators, including a positive MACD and an RSI reading of 61, suggest ongoing strength. If momentum holds, BNB could aim for $1,320, though a pullback to $1,280 remains possible.

DOGE’s Pennant Formation Hints Bullish Breakout Ahead

Dogecoin (DOGE) is showing a promising setup after climbing from $0.185 to above $0.21, forming what appears to be a bullish pennant on the 4-hour chart. This structure typically signals a continuation pattern, where consolidation is followed by a price surge if support remains firm.

Currently, $0.21 acts as a critical level for short-term sentiment. A strong push above $0.212 could open the path toward $0.225 or even $0.23. However, falling below $0.20 would weaken this outlook. Traders are closely watching as meme coins often accelerate quickly when broader market optimism returns.

Whales Accumulate BlockDAG as $0.0015 Entry Window Nears Its End

BlockDAG’s presale is entering a critical phase, and the quiet accumulation by whale wallets is turning heads across the market. On-chain trackers have identified a surge in six-figure purchases throughout October, revealing that large holders are positioning early ahead of Genesis Day. With the presale price locked at $0.0015 in Batch 31 for a limited time and a confirmed $0.05 listing ahead, whales appear to be securing a 30x upside before the next valuation shift.

The scale of these transactions tells the story. Multiple buys ranging from $100,000 to $250,000 are being recorded daily, signaling growing institutional-sized confidence in BlockDAG’s fundamentals. With $430 million already raised, 27B+ coins sold, and 20,000 miners distributed globally, this project has surpassed the typical presale threshold and entered a phase of real-world validation.

Whales are not just chasing hype; they are betting on a network ready for immediate use. BlockDAG’s hybrid EVM-compatible design and developer base of 4,500 builders working on more than 300 projects show that its ecosystem will launch fully active. The technology is in place, and the community is expanding fast.

For retail participants, the opportunity lies in timing. Every batch brings higher pricing, and the $0.0015 window is narrowing. Once Genesis Day arrives, this stage of accumulation will be history, and the next wave of demand will belong to those who moved early.

Quick Breakdown

BNB’s recent breakout showcases resilience, while Dogecoin’s chart setup captures short-term excitement. Both moves reflect the market’s shifting rhythm, but BlockDAG stands apart for entirely different reasons. The $430M presale, 27B+ coins sold, and verified Layer-1 technology point to structural strength rather than speculative momentum. This is not just another trend but the foundation of something lasting.

As Genesis Day draws near and the TGE code opens early access for priority buyers, BlockDAG is shaping the next phase of market leadership. Where others follow cycles, BDAG is quietly creating one of its own.

Presale: https://purchase.blockdag.network

Website: https://blockdag.network

Telegram: https://t.me/blockDAGnetworkOfficial

Discord: https://discord.gg/Q7BxghMVyu

 

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.