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5 New Trends in Generative AI That Web3 Needs to Be Ready For

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«Build for where the industry is going, not for where it is.» This mantra has fueled disruptive innovations for decades — Microsoft capitalized on microprocessors, Salesforce leveraged the cloud and Uber thrived in the mobile revolution.

The same principle applies to AI — Generative AI is evolving so rapidly that building for today’s capabilities risks obsolescence. Historically, Web3 has played little role in this AI evolution. But can it adapt to the latest trends reshaping the industry?

2024 was a pivotal year for generative AI, with groundbreaking research and engineering advancements. It was also the year that the Web3-AI narrative transitioned from speculative hype to glimpses of real utility. While the first wave of AI revolved around mega-models, long training cycles, vast compute clusters and deep enterprise pockets — making them largely inaccessible to Web3 — newer trends in 2024 are opening doors for meaningful Web3 integration.

On the Web3-AI front, 2024 was dominated by speculative projects such as meme-driven agentic platforms that reflected bullish market sentiment but offered little real-world utility. As that hype fades, a window of opportunity is emerging to refocus on tangible use cases. The generative AI landscape of 2025 will be vastly different, with transformative shifts in research and technology. Many of these changes could catalyze Web3 adoption, but only if the industry builds for the future.

Let’s examine five key trends shaping AI and the potential they present for Web3.

1. The reasoning race

Reasoning has become the next frontier for large language models (LLMs). Recent models like GPT-01, DeepSeek R1, and Gemini Flash place reasoning capabilities at the core of their advancements. Functionally, reasoning allows AI to break down complex inference tasks into structured, multi-step processes, often leveraging Chain of Thought (CoT) techniques. Just as instruction-following became a standard for LLMs, reasoning will soon be a baseline capability for all major models.

The Web3-AI opportunity

Reasoning involves intricate workflows that require traceability and transparency — an area where Web3 shines. Imagine an AI-generated article where every reasoning step is verifiable on-chain, providing an immutable record of its logical sequence. In a world where AI-generated content dominates digital interactions, this level of provenance could become a fundamental need. Web3 can provide a decentralized, trustless layer to verify AI reasoning pathways, bridging a critical gap in today’s AI ecosystem.

2. Synthetic data training scales up

A key enabler of advanced reasoning is synthetic data. Models like DeepSeek R1 use intermediate systems (such as R1-Zero) to generate high-quality reasoning datasets, which are then used for fine-tuning. This approach reduces dependence on real-world datasets, accelerating model development and improving robustness.

The Web3-AI opportunity

Synthetic data generation is a highly parallelizable task, ideal for decentralized networks. A Web3 framework could incentivize nodes to contribute compute power toward synthetic data generation, earning rewards based on dataset usage. This could foster a decentralized AI data economy in whichsynthetic datasets power open-source and proprietary AI models alike.

3. The shift to post-training workflows

Early AI models relied on massive pretraining workloads requiring thousands of GPUs. However, models like GPT-01 have shifted focus to mid-training and post-training, enabling more specialized capabilities such as advanced reasoning. This shift dramatically alters compute requirements, reducing dependence on centralized clusters.

The Web3-AI opportunity

While pretraining demands centralized GPU farms, post-training can be distributed across decentralized networks. Web3 could facilitate decentralized AI model refinement, allowing contributors to stake compute resources in return for governance or financial incentives. This shift democratizes AI development, making decentralized training infrastructures more viable.

4. The rise of distilled small models

Distillation, a process in which large models are used to train smaller, specialized versions, has seen a surge in adoption. Leading AI families such as Llama, Gemini, Gemma and DeepSeek now include distilled variants optimized for efficiency, enabling them to run on commodity hardware.

The Web3-AI opportunity

Distilled models are compact enough to run on consumer-grade GPUs or even CPUs, making them a perfect fit for decentralized inference networks. Web3-based AI inference marketplaces could emerge, in which nodes provide compute power to execute lightweight, distilled models. This would decentralize AI inference, reducing reliance on cloud providers and unlocking new tokenized incentive structures for participants.

5. The demand for transparent AI evaluations

One of the biggest challenges in generative AI is evaluation. Many top-tier models have effectively memorized existing industry benchmarks, rendering them unreliable for assessing real-world performance. When you see a model scoring extremely high on a given benchmark, it’s often because that benchmark has been included in the training corpus of the model. Today, no robust mechanisms exist for verifying model evaluation results, leading companies to rely on self-reported numbers in technical papers.

The Web3-AI Opportunity

Blockchain-based cryptographic proofs could introduce radical transparency into AI evaluations. Decentralized networks could verify model performance across standardized benchmarks, reducing reliance on unverifiable corporate claims. Additionally, Web3 incentives could encourage the development of new, community-driven evaluation standards, pushing AI accountability to new heights.

Can Web3 adapt to the next wave of AI?

Generative AI is undergoing a paradigm shift. The path to artificial general intelligence (AGI) is no longer dominated solely by monolithic models with lengthy training cycles. New breakthroughs — such as reasoning-driven architectures, synthetic dataset innovations, post-training optimizations and model distillation — are decentralizing AI workflows.

Web3 was largely absent from the first wave of generative AI, but these emerging trends introduce fresh opportunities where decentralized architectures can provide real utility. The crucial question now is: can Web3 move fast enough to seize this moment and become a relevant force in the AI revolution?

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Stablecoin Giant Circle Is Launching a New Payments and Remittance Network

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Circle, the firm behind the $60 billion USDC stablecoin, is launching a new payments and cross border remittance network on Tuesday — the company’s “next product move” — from its plush New York City headquarters, high on the 87th Floor of One World Trade Center.

The launch event is aimed at banks, fintechs, payment service providers, remittance providers and USDC strategic partners. It will feature Circle CEO Jeremy Allaire sharing his vision for the stablecoin giant’s next move within the payments space, according to an invite seen by CoinDesk.

New and incipient regulations around the globe are opening up the stablecoin space, where Circle has shared the limelight with larger rival Tether. It makes sense then that Circle — a firm that has successfully pivoted during its years in the crypto space — should look to consolidate its position and return to its roots as a payments company.

“Circle is launching a payments network that is initially targeting remittances but is ultimately aiming to rival Mastercard and Visa,» said a person familiar with the plans.

Stablecoins have reached an adoption level where the technology could disrupt global money transfers in a way similar to WhatsApp and international calls, VC firm Andreessen Horowitz said in recent report.

In a recent interview, crypto custody tech specialists Fireblocks pointed to billions being moved around by payments services providers doing things like cross border payments using stablecoins like USDC and USDT.

Circle was in the news most recently, after the firm announced plans to go public in the U.S., only to postpone the date of its IPO thanks to choppy and uncertain market conditions.

Circle did not immediately respond to requests for comment.

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BNB, SOL, XRP Spike Higher as Bitcoin ‘Digital Gold’ Narrative Makes a Comeback

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Surging gold prices and bitcoin’s (BTC) relatively strong price action amid a global market sell-off have some traders revisiting the latter’s role as “digital gold” — a big narrative in bitcoin’s early years but one that has lost steam in recent times.

BTC zoomed above $87,000 in Asian morning hours, with Cardano’s ADA, BNB Chain’s BNB, XRP and ether (ETH) adding as much as 1.5%. The spike reversed all declines since Thursday, with tokens such as Solana’s SOL up 5.2% in the past week.

The tariff-driven trade wars have sparked fears of inflation and currency devaluation, prompting comparisons of the asset to gold’s historical role as a hedge.

“Although bitcoin has had a close correlation with U.S. equities, it seems to be changing with a stronger tie to the rise of the price of gold, which has been a safe haven while equities have plummeted,” Nick Ruck, director at LVRG Research, told CoinDesk in a Telegram message on Monday.

“Bitcoin crossed $87,000 as a sign of renewed investor confidence as the market continues to stabilize after panicking over tariffs. It’s also worth noting that Bitcoin’s digital gold narrative is taking off as both assets have grown in tandem,” Ruck said.

Gold set fresh highs Monday with a push above $3,380 per ounce, bringing year-to-date gains to 25%. Bitcoin has dropped more than 20% from a January peak of $108,000, though Monday’s push over $87,000 sent the asset to its highest level since Donald Trump’s “liberation day” in early April.

Pressure on the greenback has continued to grow as the dollar index (DXY) crashed to a three-year low, with some pointing out that most bad news has been “priced in” and that bitcoin could see upside in the coming days.

“Trump’s inclination to remove Jerome Powell as Fed Chair and force interest rate cuts is causing people to sell the U.S. dollar and U.S. government debt, moving to other safe haven assets such as gold, European bonds, and now, Bitcoin,” Jeff Mei, COO at BTSE, told CoinDesk in a Telegram message Monday.

“After all, when rates are cut, more money flows into the money supply, devaluing the U.S. dollar. In general, downward pressure on the US dollar is growing and this could be a driving catalyst for Bitcoin to become a safe haven asset,” Mei added.

Meanwhile, here’s a machine’s view of the markets today, powered by the CoinDesk Markets AI bot.

ADA Price Analysis

  • Cardano’s ADA is above 63 cents with strong technical indicators pointing to continued upward momentum despite macroeconomic headwinds.
  • Price action formed a clear ascending channel with strong support at $0.612, which successfully held during multiple retests.
  • Notable volume spike occurred on 2025-04-21 00:00 when volume reached 68M (3x average), propelling price through key resistance at $0.630.
  • Fibonacci extension levels suggest 64 cents as the next target, with an overall range of 0.031 (5.1%), indicating substantial volatility.
  • RSI remains below overbought territory despite the rally, suggesting potential for continued upward momentum.
  • Consolidation near previous resistance suggests accumulation rather than distribution.

XRP Price Analysis

  • XRP’s decisive breakout signals a potential end to months-long sideways trading, with technical indicators pointing to further gains ahead.
  • Fibonacci retracement levels suggest potential continuation toward $2.15, with the 61.8% extension pointing to $2.18 as the next target if bullish momentum persists.

SOL Price Analysis

  • SOL breaks decisively above $135 resistance, surging 10.2% to establish new support levels with strong volume confirmation
  • Key technical battle emerges between $129 support and $144 resistance zones, with on-chain data showing 5.75% of realized volume concentrated at these critical levels
  • Price action formed a clear ascending channel with higher lows and higher highs, particularly evident in the April 19-21 rally.
  • Volume significantly increased during upward movements, confirming the strength of the bullish trend.
  • The 48-hour momentum indicators show bullish divergence with price maintaining strength above the 20-hour moving average.

BNB Price Action

  • BNB breaks $600 barrier with 3.2% surge as large holders accumulate during market volatility.
  • Recent quarterly token burn removed 1.57 million BNB worth over $1 billion, supporting price momentum.
  • Open interest in BNB rose 3.3% to $760 million despite negative funding rates, with 68% of traders betting on continued price increases.
  • BNB broke out of its consolidation range with a 3.2% surge from $592.63 to $601.74.
  • Price action shows clear bullish momentum with increasing volume, particularly during the breakout candle where volume spiked to 55,661 units.
  • Fibonacci extension targets suggest potential continuation toward the $605-610 zone if current momentum persists.
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Metaplanet Buys Another 330 BTC as BTC Moves Above $87K

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Publicly-listed Metaplanet announced fresh bitcoin (BTC) purchases on Monday as BTC went above $87,300, reversing last week’s loses.

Metaplanet picked up 330 BTC bring its overall holdings to 4,855 BTC, worth over $420 million, based on current prices.

This is the Japanese firm’s third bitcoin purchase this month, even as broader markets reel from tariff concerns amid a general lack of optimism. Earlier this month, Metaplanet became the tenth-largest public holder of BTC.

However, Metaplanet is not the only Japanese firm raking up bitcoin.Fashion brand ANAP Holdings purchase approximately 16.6591 BTC, valued at around 200 million yen (approximately $1.4 million), last week.

The holdings will be overseen by its subsidiary, ANAP Lightning Capital. The company plans to conduct quarterly market value assessments of its BTC holdings, with any gains or losses reflected in its profit and loss statements.

Its BTC yield from quarter-to-date is at 12.1% so far, with the previous quarter’s yield at 95%. BTC Yield is a custom metric used by the firm to assess the performance of its strategy. This measures the growth of bitcoin per fully diluted share.

Bitcoin has fared relatively better than U.S. equities in such a time of financial instability. U.S. equities lost $5.4 trillion in value in two days after President Trump unveiled his reciprocal tariffs earlier in April, which sent the Nasdaq tumbling down 11% at the time. BTC fell a relatively smaller 6%, in comparison.

Metaplanet’s stock on the Tokyo Stock Exchange is up nearly 0.9% since open.

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