hodler

9 Jun 2026, 21:51

Strive CEO Matt Cole and Binance's CZ push back on Bitcoin 'death' narrative

Strive CEO Matt Cole and former Binance chief Changpeng Zhao, popularly known as CZ, have both voiced defiance against Bitcoin’s bearish momentum on Monday, even as the cryptocurrency trades roughly 50% below its October 2025 record high of over $126,000. CZ posted on X that “Bitcoin won’t be ‘dead’ for too long,” adding a reference to Douglas Adams: “Don’t panic, in large friendly letters.” The post saw thousands of interactions as BTC hovered around $62,600. On June 8, Strive announced it had purchased an additional 32 BTC for approximately $2.1 million at an average price of roughly $63,911 per coin, according to Cole’s post on X. That buy announcement came two days after he told followers he believes “the debt crisis won’t improve, debasement will continue,” adding that “we’re moving toward a Bitcoin future.” The Strive CEO also stated that “digital credit” is the best medium of exchange during what he sees as the long transition from fiat to a Bitcoin-denominated world. “The dollar is broken but is still the reserve currency,” Cole wrote on X on June 9. “Any security/commodity can easily be used as a medium of exchange today.” In an X post made on June 8, Cole stated that he and the Strive team are scheduled to appear at BTC Prague this week alongside Michael Saylor for a fireside chat. Is Bitcoin’s liquidity problem caused by AI? The bullish posturing arrives during one of Bitcoin’s roughest stretches in recent memory. BTC fell from approximately $82,000 in early May to around $63,000 on Monday, a decline of over 20%. It briefly slipped below $60,000 last week for the first time since October 2024. Wall Street broker Bernstein pointed to capital rotation into artificial intelligence as the main culprit for the poor Bitcoin inflows. Bitcoin treasury companies and ETFs have attracted roughly $12 billion of inflows in 2026, which is a steep drop from the $60 billion they received during 2025, Bernstein analysts led by Gautam Chhugani wrote. Spot BTC ETFs alone have recorded about $2.6 billion in net outflows from a $75 billion asset base this year, with corporate buyers led by Strategy (formerly MicroStrategy) accounting for most of the remaining demand, according to the report. Cryptopolitan has previously reported on the broader dynamic at play: while critics are eager to declare Bitcoin dead, the liquidity squeeze has less to do with crypto-specific failures and more to do with capital chasing AI-related IPOs and infrastructure buildouts across equities markets. Bernstein’s analysts echoed that framing. “Bitcoin still may offer some diversification from the unusual singular AI-driven momentum markets we have experienced this year,” the report stated. The firm also noted that the strongest-performing corners of crypto in 2026 have been tokenized equities and commodities, not Bitcoin itself. A different kind of market Despite the price pain, Bernstein argued that Bitcoin’s ownership structure has matured. Unlike prior cycles dominated by retail speculation, today’s holder base spans ETFs, corporate treasuries, wealth-management platforms, pension funds, and sovereign investors, according to the report. That diversification may explain why Cole and CZ are willing to buy and talk bullishly into a 50% drawdown. Cole backed his words with capital, adding to Strive’s Bitcoin position at prices that would have seemed cheap a year ago and expensive two years before that. CZ offered no specific thesis beyond optimism. Whether the “dead” label sticks depends largely on whether AI continues to vacuum capital from risk assets or whether institutional buyers see current prices as an entry point. Readers watching this story should keep an eye on weekly ETF flow data and corporate treasury announcements heading into the summer. The smartest crypto minds already read our newsletter. Want in? Join them .

9 Jun 2026, 21:15

Coinbase Adds ARX and RE Tokens to Exchange Listing Roadmap

BitcoinWorld Coinbase Adds ARX and RE Tokens to Exchange Listing Roadmap Coinbase, one of the largest cryptocurrency exchanges in the United States, has added two new digital assets — ARX and RE — to its official listing roadmap. The announcement, made through the company’s standard communication channels, signals that the exchange is evaluating these tokens for potential full trading support in the future. What Is the Coinbase Listing Roadmap? The Coinbase listing roadmap is a public list of digital assets the exchange is actively reviewing for potential listing. It provides transparency to the market by letting traders and projects know which tokens are under consideration. Inclusion on the roadmap does not guarantee a final listing, but it is a strong signal of institutional interest and due diligence. The roadmap is updated periodically as Coinbase evaluates new assets based on technical, legal, and compliance standards. What Are ARX and RE? ARX is the native token of the ARX platform, which focuses on decentralized finance (DeFi) solutions, including tokenization and asset management. RE is the token for the RE project, which aims to create a decentralized real estate marketplace. Both projects operate in niche but growing sectors of the crypto ecosystem. Their addition to the roadmap suggests Coinbase sees potential in these use cases, though the final listing decision will depend on further review. Implications for Traders and the Market For traders, inclusion on the Coinbase roadmap often leads to increased attention and price volatility for the mentioned tokens. However, it is important to note that the roadmap is not a guarantee of a listing. Coinbase has previously removed assets from the roadmap without listing them. Investors should conduct their own research and not treat roadmap inclusion as a definitive endorsement. The move also highlights Coinbase’s ongoing effort to expand its asset offerings while maintaining regulatory compliance. Conclusion The addition of ARX and RE to Coinbase’s listing roadmap is a notable development for both projects and the broader market. It reflects the exchange’s methodical approach to asset selection and provides a glimpse into which sectors — DeFi and real estate tokenization — are gaining traction among major platforms. Traders should monitor the roadmap for updates, but exercise caution until final listing decisions are announced. FAQs Q1: Does Coinbase listing roadmap inclusion guarantee a token will be listed? No. Inclusion on the roadmap means the asset is under review, but Coinbase may decide not to list it after completing its evaluation. Q2: How often does Coinbase update its listing roadmap? Coinbase updates the roadmap periodically, but there is no fixed schedule. Updates are announced through their official blog and social media channels. Q3: Can I trade ARX and RE on Coinbase right now? No. The tokens are only on the roadmap for review. They are not yet available for trading on Coinbase. Trading will only begin if and when Coinbase officially lists them. This post Coinbase Adds ARX and RE Tokens to Exchange Listing Roadmap first appeared on BitcoinWorld .

9 Jun 2026, 21:10

Binance’s New US Stock-Trading Service Pulls in $400 Million in Its First Week

Binance’s freshly launched U.S. stock-trading service has amassed more than $400 million in assets under management just one week after going live, an early sign of demand as the exchange pushes toward tokenized equities. A Fast Start for Binance’s Equities Push Binance, the world’s largest cryptocurrency exchange by trading volume, confirmed that its new stock-trading

9 Jun 2026, 20:02

Analyst to XRP Holders: This Is the Level We’ve Waited Months For

XRP has reached a technical level that analyst CasiTrades (@CasiTrades) has been monitoring for months. This has shifted the focus from the recent decline to the market’s next move. In a recent post, the analyst said, “The support has been reached. Now we watch the reaction,” placing attention on whether buyers can build momentum from this level. According to her post, XRP “reached the major .786 macro support at $1.09 (Coinbase) perfectly.” The attached daily chart suggests that the Fibonacci level is near $1.09. The analysis centers on how the price behaves after touching that support rather than treating the level as the final destination. The Level We've Waited Months For! XRP reached the major .786 macro support at $1.09 (Coinbase) perfectly. You can see how well the daily timeframe is respecting it so far! Now, we're focused on the reaction. The key resistance levels I'm watching are: -$1.19 -$1.27… pic.twitter.com/JvxZtq7zmB — CasiTrades (@CasiTrades) June 8, 2026 XRP’s Critical Turning Point The chart contains multiple trend lines, wave counts, and Fibonacci levels that converge around the recent price action. It shows XRP attempting to stabilize after reaching the highlighted support zone, making the next movement especially important from a technical perspective. Rather than presenting a fixed outcome, the analysis focuses on confirmation through price action. The reaction at current levels will determine whether the next phase follows the existing correction or develops into a stronger advance . Price Levels to Watch The chart identifies $1.19 and $1.27 as the immediate resistance levels to monitor. CasiTrades wrote that “both levels are valid” and said they “keep the larger correction alive,” while leaving room for another move toward the $0.90 support zone tied to the 0.854 Fibonacci level. These resistance areas now serve as the next technical checkpoints. How XRP trades around them will shape the outlook presented in the analysis. Breaking Resistance Could Shift the Outlook CasiTrades also outlined an alternative scenario if XRP gains momentum . She explained that if the asset shows strength and breaks through resistance, it could signal a new market trend rather than another push downward. We are on X, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) June 15, 2025 That view places significant weight on how price behaves around $1.19 and $1.27. At the time of her analysis, the asset traded at $1.17 after a brief rebound from support. A successful move through the outlined resistance would significantly change the technical outlook. Focus Remains on the Market’s Reaction CasiTrades described the current period as “one of the most important moments of the entire correction.” After an extended losing streak , the market may turn around soon. The chart supports the analysis by showing resistance clustered above the current trading zone while the recent support sits near the 0.786 Fibonacci level. A move through those barriers would shift attention from defending support to testing higher price levels. Disclaimer : This content is meant to inform and should not be considered financial advice. The views expressed in this article may include the author’s personal opinions and do not represent Times Tabloid’s opinion. Readers are advised to conduct thorough research before making any investment decisions. Any action taken by the reader is strictly at their own risk. Times Tabloid is not responsible for any financial losses. Follow us on X , Facebook , Telegram , and Google News The post Analyst to XRP Holders: This Is the Level We’ve Waited Months For appeared first on Times Tabloid .

9 Jun 2026, 19:20

The great AI downsizing: Why cheaper models are suddenly the smartest bet

BitcoinWorld The great AI downsizing: Why cheaper models are suddenly the smartest bet The artificial intelligence industry has long operated on a simple, powerful premise: bigger models are better, and the best model wins. This assumption has fueled a race for scale, with companies like OpenAI and Anthropic pouring billions into training ever-larger frontier models. But a quiet, potentially seismic shift is underway. Mounting costs are forcing enterprises to reconsider their reliance on the most expensive AI, and a new era of cost-conscious model shopping is beginning. The question is no longer just about raw power, but about efficiency, and the answer could reshape the entire AI economy. The scaling assumption under pressure For years, the AI industry’s trajectory was defined by the ‘bitter lesson’: that leveraging massive computation was the surest path to better performance. Labs competed on quality, which meant defaulting to the most advanced model available. Investors subsidized the high costs of inference, giving users little incentive to economize. Now, that dynamic is changing. Token prices are rising, subsidies are slowing, and enterprises are feeling real cost pressure for the first time. The natural response is to start shopping for cheaper alternatives. Coinbase’s Armstrong predicts a dramatic shift Coinbase co-founder Brian Armstrong has offered a stark prediction: within 12 to 18 months, 80% of AI workloads will run on models that are 99% cheaper than today’s frontier systems. Only the remaining 20% of tasks, those requiring maximum intelligence, will continue to use the latest generation models. If this forecast holds, it represents a fundamental change in the economics of AI. Much of the savings would come directly out of the revenue streams of major labs like OpenAI and Anthropic, potentially dealing a significant financial blow as they approach their IPOs. Real-world tests show promise Initial evidence suggests Armstrong’s prediction is not far-fetched. A recent test by the legal AI tool Harvey, conducted in partnership with the inference platform Fireworks AI, demonstrated that costs could be reduced by three times without any loss in quality. The system intelligently routed simpler tasks to a smaller, cheaper model (Fireworks’ GLM 5.1) and reserved the more powerful Claude Opus for the most demanding legal work. Harvey co-founder Gabe Pereyra noted that the definition of quality is evolving from simply using the most powerful model for everything, to using the best model that gets the right answer most efficiently. The real divide: large vs. small, not open vs. closed The emerging cost war is often framed as a battle between proprietary models from US labs and open-weight models from Chinese firms like DeepSeek. However, this framing misses the larger point. The critical divide is between large models and small models. A company can save money by switching from a frontier model to a cheaper open-weight alternative, but it can achieve similar savings by switching to a smaller, cheaper version from the same lab. The price war is between large-scale inference and small-scale inference, and for the broader industry shift, it doesn’t matter which type of small model wins. What this means for the industry’s future If most enterprise deployments can be run just as effectively on smaller, cheaper models, it would put a serious damper on the growing demand for inference. This, in turn, would raise difficult questions about how to justify the enormous cost of training a frontier model. The industry is at a crossroads. It could either embrace efficiency and risk slowing the growth of its most expensive products, or it could find new ways to demonstrate that the extra cost of a frontier model is justified. The answer will determine the winners and losers in the next phase of the AI revolution. Conclusion The AI industry’s foundational assumption is being tested. As enterprises face real cost pressures, the shift to smaller, cheaper models is no longer a theoretical possibility but a practical necessity. The impact could be profound, potentially slowing the revenue growth of major labs and forcing a re-evaluation of the entire scaling paradigm. The coming months will reveal whether the industry can learn to love cheaper AI models, or whether the demand for frontier intelligence remains insatiable. FAQs Q1: Why are cheaper AI models becoming more attractive now? Rising token prices and a slowdown in investor subsidies are creating real cost pressure for enterprises that use AI. This is forcing them to look for more efficient options instead of defaulting to the most powerful model. Q2: Will using cheaper models mean lower quality results? Not necessarily. Early tests, such as the one conducted by Harvey, show that by intelligently routing tasks, companies can achieve the same quality while significantly reducing costs. The key is using the right model for the right job. Q3: How would this shift affect companies like OpenAI and Anthropic? A widespread move to cheaper models could reduce demand for their most expensive inference services, potentially impacting their revenue as they prepare for public offerings. It would challenge their business models, which are built on the assumption that customers will pay a premium for the best possible intelligence. This post The great AI downsizing: Why cheaper models are suddenly the smartest bet first appeared on BitcoinWorld .

9 Jun 2026, 18:35

Morpho raises $175 million from Paradigm, a16z crypto, and Ribbit Capital as it closes gap on Aave

Morpho, a decentralized lending protocol and Aave’s closest competitor, successfully raised $175 million in a new funding round held yesterday, June 8, 2026. The round was co-led by notable investment companies, including Paradigm, a16z crypto, and Ribbit Capital, moving the project’s valuation up to $2 billion. According to cofounder Merlin Egalite’s post on X , this $175 million investment is “the largest raise in DeFi history”. The funding comes as Morpho continues to challenge Aave’s dominance in the lending sector, with current data from DefiLlama showing that Morpho has grown its total value locked close to $6.5 billion across 37 chains, significantly closing the gap on Aave’s $12 billion total. Morpho is putting a strong shift in challenging Aave’s DeFi lending lead. Source: DefiLlama Who else invested in Morpho? Asides the three co-leads, Morpho’s announcement also confirmed participation from a diverse group of investors, including Apollo Funds, Circle Ventures, VanEck, and Ledger Cathay. The round also attracted support from several other notable firms, such as Variant, Wintermute Ventures, SBI Group, and the French public investment bank Bpifrance. Speaking to Fortune’s Ben Weiss , Morpho’s cofounder Paul Frambot explained that investors bought Morpho’s native tokens based on their average monthly price, meaning that the specific price varied depending on when each participant joined the round. As a result, the project’s fully diluted valuation reached as high as $2 billion based on those varying entry points. This is Morpho’s fourth institutional fundraise since 2021. Previous rounds included backing from Coinbase Ventures, Pantera Capital, and Nascent. Why this round matters for DeFi lending While Aave has been the leader in on-chain lending for years, Morpho made a name for itself by helping users to create their own lending markets with custom risk parameters. According to Fortune, Paul Frambot (who launched the project at 20 in Paris alongside cofounders Egalite, Julien Thomas, and Mathis Gontier Delaunay) described their strategy as building the infrastructure “for people to build their own Aave”. According to Morpho’s blog post , its modular design has successfully attracted significant institutional interest, with major entities like Coinbase, Kraken, Binance, Anchorage Digital, and Galaxy Digital now using the protocol. The Ethereum Foundation also invested in Morpho twice under its treasury framework, contributing 3,400 ETH and approximately $6 million in stablecoins, as Cryptopolitan previously reported. The support is driven by the Foundation’s “Defipunk” policy, which only works with projects that have open-source licensing and immutable contracts. Morpho satisfies both requirements through its GPL 2.0-licensed architecture. Aave, on the other hand, has run into a lot of problems recently. A governance crisis earlier this year led to the departure of key service providers, including the Aave Chan Initiative and BGD Labs, the firm responsible for building and maintaining Aave V3. Additionally, while Aave was not directly hacked, it was seriously exposed to a $290 million exploit of the KelpDAO protocol in April 2026, which left Aave with substantial bad debt. Morpho had minor exposure to the same incident. What Morpho plans to do with the capital The Morpho Association said it plans to use the funding to strengthen its partnerships and develop the new infrastructure layer it calls the “open credit network”. “We started Morpho to change that,” Frambot said in the announcement. “We’re building the open credit network for the world, connecting those with excess capital to those who need financing, globally.” Guy Wuollet, a general partner at a16z crypto, explained that the investment aligns with Morpho’s broader thesis that traditional finance is converging with DeFi. “The simplicity and security of its technology continue to push borrowing and lending forward for some of the world’s leading financial institutions,” Wuollet said . Gabe Mennesson, a partner at Ribbit Capital, highlighted the booming potential of the lending market; “Lending is the largest profit pool in financial services, yet much of its infrastructure remains fragmented, opaque, and inefficient,” Mennesson said. What to watch The rivalry between Morpho and Aave will be the main narrative in DeFi lending over the coming months. Aave is currently executing a 12-month “revenue-led protocol strategy” and aggressively promoting its new V4 architecture, which successfully attracted over $100 million in combined deposits and loans last month. The next phase of the DeFi lending market will ultimately be decided by whether Morpho can utilize its new funding and institutional momentum to close the gap in total value locked, or if Aave’s business strategy using revenue and technological updates improves its industry lead. If you're reading this, you’re already ahead. Stay there with our newsletter .