Memecoins will rise from the dead, but in a new form: Crypto exec

cointelegraphPubblicato 2025-12-14Pubblicato ultima volta 2025-12-14

Introduzione

According to MoonPay president Keith A. Grossman, memecoins are not dead despite the current market downturn and fading interest. He argues that their real innovation lies in the tokenization of attention through blockchain, which democratizes access to the attention economy—previously dominated by platforms and a few influencers. Although the memecoin sector saw significant decline in 2025 following high-profile collapses and criticism over their lack of intrinsic value, Grossman compares this phase to the early failures of social media before its eventual resurgence. Examples include the crash of Donald Trump’s memecoin (down over 90%) and the collapse of Javier Milei’s endorsed token, LIBRA, which led to investor losses and legal repercussions. Despite setbacks, Grossman believes memecoins will return in a new form.

Memecoins are not dead because the market is down and the narrative has faded, according to president of payment infrastructure company MoonPay, Keith A. Grossman, who said that memecoins will be back but in a different form.

The real innovation of memecoins is that attention can be tokenized easily and at low costs through blockchain technology, democratizing access to the attention economy, Grossman said. He continued:

“Before crypto, attention could only be monetized by platforms, brands and a small group of influencers. Everyone else generated value and gave it away for free. Likes, trends, inside jokes and communities created massive economic value.”
The memecoin sector declined significantly in 2025. Source: CoinMarketCap

However, that value did not flow back to participants and mostly remained trapped by large, centralized platforms, he added.

Grossman compared the dismal memecoin outlook among analysts to forecasts of the demise of social media after the first generation of social platforms failed in the early 2000s, before the rise of a latter cohort of companies that turned the niche sector into a cultural phenomenon.

Memecoins were one of the best-performing crypto asset sectors in 2024 and were the top narrative that year among crypto investors, according to crypto market data platform CoinGecko.

However, sharp criticisms that memecoins and other social tokens have no value and several high-profile token implosions eventually caused the market to crater and investors to move on from the narrative.

Related: Bubblemaps challenges PEPE’s fair launch, alleges 30% of genesis supply bundled

Presidential antics and the downfall of the memecoin sector

The memecoin market collapsed in Q1 2025 following several high-profile token collapses and significant drawdowns that were characterized as “rug pulls.”

United States President Donald Trump launched a memecoin ahead of the January 2025 inauguration, which reached a peak of $75 before collapsing by over 90% to about $5.42 at the time of this writing, according to CoinMarketCap.

The Official Trump memecoin from Donald Trump, president of the United States, has declined by over 90% since launch. Source: CoinMarketCap

Javier Milei, the president of Argentina, endorsed a social token called Libra in February, which also crashed, leaving 86% of LIBRA holders with realized losses of $1,000 or more.

The token had reached a market cap of $107 million before its collapse and was characterized as a rug pull by the crypto community.

Although Milei attempted to distance himself from the token launch, a government probe was launched into Milei’s involvement, which culminated in lawsuits from retail investors and calls for impeachment from Argentine lawmakers.

Magazine: Proton Mail exposing activist’s info showed the limits of encryption

Letture associate

Breaking: OpenAI Undergoes Major Reorganization, President Brockman Assumes Command

OpenAI has announced a major internal reorganization just months before its anticipated IPO. The company is merging its three flagship product lines—ChatGPT, Codex, and the API platform—into a single, unified product organization. The most significant leadership change involves co-founder and President Greg Brockman moving from a background technical role to take full, permanent control over all product strategy. This follows the indefinite medical leave of AGI Deployment CEO Fidji Simo. Additionally, ChatGPT's longtime lead, Nick Turley, has been reassigned to enterprise products, with former Instagram executive Ashley Alexander taking over consumer offerings. The consolidation, internally framed as a strategic move towards an "Agentic Future," aims to break down internal silos and create a cohesive "Super App." This planned desktop application would integrate ChatGPT's conversational abilities, Codex's coding power, and a rumored internal web browser named "Atlas" to autonomously perform complex user tasks. The reorganization occurs amid significant internal and external pressures. OpenAI has recently seen a wave of high-profile departures, including Sora co-lead Bill Peebles and other senior technical leaders, leading to concerns about a thinning executive bench. Externally, rival Anthropic recently secured funding at a staggering $900 billion valuation, surpassing OpenAI's own. Google's upcoming I/O developer conference also poses a competitive threat. Analysts suggest the dramatic restructure is a pre-IPO move to present a clearer, more focused narrative to Wall Street—streamlining operations and demonstrating decisive leadership under Brockman to counter internal turbulence and intense market competition.

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Breaking: OpenAI Undergoes Major Reorganization, President Brockman Assumes Command

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Two Survival Structures of Market Makers and Arbitrageurs

Market makers and arbitrageurs represent two distinct survival structures in high-frequency trading. Market makers primarily use limit orders (makers) to profit from the bid-ask spread, enjoying high capital efficiency (nominally 100%) but bearing inventory risk. This "inventory risk" arises from passive, fragmented, and discontinuous order fills in the limit order book (LOB). This risk, while a potential cost, can also contribute to excess profit if managed within control boundaries, allowing for mean reversion. Market makers essentially sell "time" (uncertainty over execution timing) to the market for price control and low fees. In contrast, cross-exchange arbitrageurs typically use market orders (takers) to exploit price differences or funding rates, resulting in lower nominal capital efficiency (requiring capital on both exchanges) and higher transaction costs. Their risk exposure stems from asymmetries in exchange rules (e.g., minimum order sizes), execution latency, and infrastructure risks (e.g., ADL, oracle drift). These exposures are active, exogenous gaps that primarily erode profits rather than contribute to them. Arbitrageurs essentially sell "space" (capital sunk across venues) for localized, immediate certainty. Both strategies engage in a trade-off between execution friction and residual risk. Optimal systems allow for temporary, controlled risk exposure rather than enforcing zero exposure at all costs. Their evolution converges towards hybrid models: arbitrageurs may use maker orders to reduce costs, while market makers may use taker orders or hedges for risk management. Ultimately, both use different forms of risk exposure—market makers exposing inventory, arbitrageurs immobilizing capital—to extract marginal, hard-won certainty from the market.

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Two Survival Structures of Market Makers and Arbitrageurs

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Who Will Define the Rules of the AI Era? Anthropic Discusses the 2028 US-China AI Landscape

This article, based on Anthropic's analysis, outlines the intensifying systemic competition between the U.S./allies and China for AI leadership by 2028. It argues that access to advanced computing power ("compute") is the critical bottleneck, where the U.S. currently holds a significant advantage through chip export controls and allied innovation. However, China's AI labs remain competitive by exploiting policy loopholes—via chip smuggling, overseas data center access, and "model distillation" attacks to copy U.S. model capabilities—keeping them close to the frontier. The piece presents two contrasting scenarios for 2028. In the first, decisive U.S. action to tighten compute controls and curb distillation locks in a 12-24 month AI capability lead, cementing democratic influence over global AI norms, security, and economic infrastructure. In the second, policy inaction allows China to achieve near-parity through continued access to U.S. technology, enabling Beijing to promote its AI stack globally and integrate advanced AI into its military and governance systems, altering the strategic balance. Anthropic contends that maintaining a decisive U.S. lead is essential for shaping safe AI development and governance. The core recommendation is for U.S. policymakers to urgently close compute and model access loopholes while promoting global adoption of the U.S. AI technology stack to secure a lasting strategic advantage.

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Who Will Define the Rules of the AI Era? Anthropic Discusses the 2028 US-China AI Landscape

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