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Will DeFi 2.0 meet the needs that users were looking for?

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Will DeFi 2.0 meet the needs that users were looking for?

by Gonzalo Wangüemert Villalba

4 September 2025

Introduction The open-source AI ecosystem reached a turning point in August 2025 when Elon Musk’s company xAI released Grok 2.5 and, almost simultaneously, OpenAI launched two new models under the names GPT-OSS-20B and GPT-OSS-120B. While both announcements signalled a commitment to transparency and broader accessibility, the details of these releases highlight strikingly different approaches to what open AI should mean. This article explores the architecture, accessibility, performance benchmarks, regulatory compliance and wider industry impact of these three models. The aim is to clarify whether xAI’s Grok or OpenAI’s GPT-OSS family currently offers more value for developers, businesses and regulators in Europe and beyond. What Was Released Grok 2.5, described by xAI as a 270 billion parameter model, was made available through the release of its weights and tokenizer. These files amount to roughly half a terabyte and were published on Hugging Face. Yet the release lacks critical elements such as training code, detailed architectural notes or dataset documentation. Most importantly, Grok 2.5 comes with a bespoke licence drafted by xAI that has not yet been clearly scrutinised by legal or open-source communities. Analysts have noted that its terms could be revocable or carry restrictions that prevent the model from being considered genuinely open source. Elon Musk promised on social media that Grok 3 would be published in the same manner within six months, suggesting this is just the beginning of a broader strategy by xAI to join the open-source race. By contrast, OpenAI unveiled GPT-OSS-20B and GPT-OSS-120B on 5 August 2025 with a far more comprehensive package. The models were released under the widely recognised Apache 2.0 licence, which is permissive, business-friendly and in line with requirements of the European Union’s AI Act. OpenAI did not only share the weights but also architectural details, training methodology, evaluation benchmarks, code samples and usage guidelines. This represents one of the most transparent releases ever made by the company, which historically faced criticism for keeping its frontier models proprietary. Architectural Approach The architectural differences between these models reveal much about their intended use. Grok 2.5 is a dense transformer with all 270 billion parameters engaged in computation. Without detailed documentation, it is unclear how efficiently it handles scaling or what kinds of attention mechanisms are employed. Meanwhile, GPT-OSS-20B and GPT-OSS-120B make use of a Mixture-of-Experts design. In practice this means that although the models contain 21 and 117 billion parameters respectively, only a small subset of those parameters are activated for each token. GPT-OSS-20B activates 3.6 billion and GPT-OSS-120B activates just over 5 billion. This architecture leads to far greater efficiency, allowing the smaller of the two to run comfortably on devices with only 16 gigabytes of memory, including Snapdragon laptops and consumer-grade graphics cards. The larger model requires 80 gigabytes of GPU memory, placing it in the range of high-end professional hardware, yet still far more efficient than a dense model of similar size. This is a deliberate choice by OpenAI to ensure that open-weight models are not only theoretically available but practically usable. Documentation and Transparency The difference in documentation further separates the two releases. OpenAI’s GPT-OSS models include explanations of their sparse attention layers, grouped multi-query attention, and support for extended context lengths up to 128,000 tokens. These details allow independent researchers to understand, test and even modify the architecture. By contrast, Grok 2.5 offers little more than its weight files and tokenizer, making it effectively a black box. From a developer’s perspective this is crucial: having access to weights without knowing how the system was trained or structured limits reproducibility and hinders adaptation. Transparency also affects regulatory compliance and community trust, making OpenAI’s approach significantly more robust. Performance and Benchmarks Benchmark performance is another area where GPT-OSS models shine. According to OpenAI’s technical documentation and independent testing, GPT-OSS-120B rivals or exceeds the reasoning ability of the company’s o4-mini model, while GPT-OSS-20B achieves parity with the o3-mini. On benchmarks such as MMLU, Codeforces, HealthBench and the AIME mathematics tests from 2024 and 2025, the models perform strongly, especially considering their efficient architecture. GPT-OSS-20B in particular impressed researchers by outperforming much larger competitors such as Qwen3-32B on certain coding and reasoning tasks, despite using less energy and memory. Academic studies published on arXiv in August 2025 highlighted that the model achieved nearly 32 per cent higher throughput and more than 25 per cent lower energy consumption per 1,000 tokens than rival models. Interestingly, one paper noted that GPT-OSS-20B outperformed its larger sibling GPT-OSS-120B on some human evaluation benchmarks, suggesting that sparse scaling does not always correlate linearly with capability. In terms of safety and robustness, the GPT-OSS models again appear carefully designed. They perform comparably to o4-mini on jailbreak resistance and bias testing, though they display higher hallucination rates in simple factual question-answering tasks. This transparency allows researchers to target weaknesses directly, which is part of the value of an open-weight release. Grok 2.5, however, lacks publicly available benchmarks altogether. Without independent testing, its actual capabilities remain uncertain, leaving the community with only Musk’s promotional statements to go by. Regulatory Compliance Regulatory compliance is a particularly important issue for organisations in Europe under the EU AI Act. The legislation requires general-purpose AI models to be released under genuinely open licences, accompanied by detailed technical documentation, information on training and testing datasets, and usage reporting. For models that exceed systemic risk thresholds, such as those trained with more than 10²⁵ floating point operations, further obligations apply, including risk assessment and registration. Grok 2.5, by virtue of its vague licence and lack of documentation, appears non-compliant on several counts. Unless xAI publishes more details or adapts its licensing, European businesses may find it difficult or legally risky to adopt Grok in their workflows. GPT-OSS-20B and 120B, by contrast, seem carefully aligned with the requirements of the AI Act. Their Apache 2.0 licence is recognised under the Act, their documentation meets transparency demands, and OpenAI has signalled a commitment to provide usage reporting. From a regulatory standpoint, OpenAI’s releases are safer bets for integration within the UK and EU. Community Reception The reception from the AI community reflects these differences. Developers welcomed OpenAI’s move as a long-awaited recognition of the open-source movement, especially after years of criticism that the company had become overly protective of its models. Some users, however, expressed frustration with the mixture-of-experts design, reporting that it can lead to repetitive tool-calling behaviours and less engaging conversational output. Yet most acknowledged that for tasks requiring structured reasoning, coding or mathematical precision, the GPT-OSS family performs exceptionally well. Grok 2.5’s release was greeted with more scepticism. While some praised Musk for at least releasing weights, others argued that without a proper licence or documentation it was little more than a symbolic gesture designed to signal openness while avoiding true transparency. Strategic Implications The strategic motivations behind these releases are also worth considering. For xAI, releasing Grok 2.5 may be less about immediate usability and more about positioning in the competitive AI landscape, particularly against Chinese developers and American rivals. For OpenAI, the move appears to be a balancing act: maintaining leadership in proprietary frontier models like GPT-5 while offering credible open-weight alternatives that address regulatory scrutiny and community pressure. This dual strategy could prove effective, enabling the company to dominate both commercial and open-source markets. Conclusion Ultimately, the comparison between Grok 2.5 and GPT-OSS-20B and 120B is not merely technical but philosophical. xAI’s release demonstrates a willingness to participate in the open-source movement but stops short of true openness. OpenAI, on the other hand, has set a new standard for what open-weight releases should look like in 2025: efficient architectures, extensive documentation, clear licensing, strong benchmark performance and regulatory compliance. For European businesses and policymakers evaluating open-source AI options, GPT-OSS currently represents the more practical, compliant and capable choice.  In conclusion, while both xAI and OpenAI contributed to the momentum of open-source AI in August 2025, the details reveal that not all openness is created equal. Grok 2.5 stands as an important symbolic release, but OpenAI’s GPT-OSS family sets the benchmark for practical usability, compliance with the EU AI Act, and genuine transparency.

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XRP Battles Descending Channel Resistance While Ripple Quietly Absorbs the Global Financial System

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TLDR:

  • XRP has dropped 5.8% in three days and remains trapped inside an eight-month descending channel near $1.45.
  • A confirmed breakout above channel resistance could push XRP to a price target range between $2.50 and $4.00.
  • Ripple has spent over $2.25 billion on acquisitions, building a full-stack financial platform around the XRP Ledger.
  • XRP holds digital commodity status with both the SEC and CFTC, with an OCC banking charter application now under review.

XRP remains at a critical technical juncture as the broader crypto market experiences a consolidation phase. The asset is down 5.8% over the last three days, currently trading near $1.45.

Chart analysts point to a descending channel resistance as the key barrier to recovery. Meanwhile, Ripple continues expanding its regulatory and institutional presence globally. Technical and fundamental forces are both shaping the asset’s near-term direction.

Technical Resistance Keeps XRP Below Key Breakout Levels

XRP is trading inside a long-standing descending channel that formed after the asset peaked at $3.6 in July. The upper trendline has acted as firm resistance for eight months.

The asset tested this trendline on October 2, 2025, and again on January 6, 2026. Both attempts failed to produce a sustained close above the resistance level.

Chart analyst Ray notes that a confirmed breakout could push XRP to between $2.50 and $4.00. That range reflects a potential gain of 77% to 180% from current levels.

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However, the descending channel trendline remains the major barrier standing between current prices and those targets.

The recent pullback has come alongside a broader lull across the crypto market. XRP’s price action continues to follow the channel structure closely.

The Japan-to-Philippines corridor, cited as a key use case for XRP, carries billions in annual remittance volume. Traders are watching for a decisive close above the resistance line before confirming any directional shift.

Until that breakout occurs, the asset remains technically constrained within the channel. The pattern from the past eight months shows that resistance at the upper trendline has been consistent.

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Each rejection has reinforced the channel’s relevance as an active price structure. A volume-driven close above the trendline would be the clearest signal of a trend reversal.

Ripple Builds Institutional and Regulatory Infrastructure Around XRP

Beyond chart patterns, Ripple has been assembling a vertically integrated financial stack. The company acquired Hidden Road for $1.25 billion and GTreasury for $1 billion. Other purchases include Rail, Palisade, Solvexia, Metaco, Standard Custody, Fortress Trust, and BC Payments.

These acquisitions bring payments, custody, treasury, and prime brokerage under one roof. Ripple now holds over 75 regulatory licenses globally. The company has filed for a VASP license in Brazil and holds a full EU EMI license. An OCC banking charter application is also under review.

X Finance Bull, a crypto commentator on X, drew attention to XRP’s advantages over traditional payment rails. The post noted XRP Ledger’s 3-5 second settlement and sub-cent transaction fees.

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It compared these directly against SWIFT’s multi-day processing and a 6.5% average cost on a $200 remittance.

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The asset has been classified as a digital commodity by both the SEC and the CFTC. The CLARITY Act is expected to bring further regulatory clarity to the digital asset space.

Ripple has also expanded operations across Dublin, London, Singapore, and Sydney. These moves position XRP collectively as a functional settlement layer within the modernizing global financial system.

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Ethereum poised for 25% rally as top ETH whales return to profitability

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Crypto Breaking News

Ethereum’s native token, Ether (ETH), may push higher in the coming months as the market’s richest whale cohort returns to profitability for the first time since early February. Fresh on-chain signals point to a potential bottoming process that could set the stage for a renewed rally, though investors should remain mindful of historical caveats.

Key takeaways

  • The unrealized profit ratio of wallets holding more than 100,000 ETH has flipped back above zero, signaling that the largest holders are no longer sitting on aggregate losses.
  • Historically, a transition to profitability for this whale group has preceded notable uptrends: roughly 25% gains in about three months, around 50% in six months, and even larger moves over the following year.
  • If the pattern holds, ETH could target the $2,750 area by June and potentially exceed $3,200 by September, anchored by on-chain and chart signals aligning in a bullish configuration.
  • Glassnode’s MVRV-based valuation bands suggest upside potential but outline key thresholds: reclaiming the realized price near $2,353 would open a path toward the -0.5 sigma band around $2,640; failing to reclaim could leave ETH vulnerable to further downside toward $1,651.
  • Technical factors reinforce the bull case: ETH recently cleared an ascending triangle, with a retest of the breakout level as support, a setup that commonly precedes further upside if the trendline holds.

Whale profitability as a potential catalyst

CryptoQuant’s data on the 100,000 ETH-plus wallet cohort shows the unrealized profit ratio returning to positive territory. In practical terms, this means the largest holders are no longer in a net loss position on their outstanding, largely illiquid exposure. An on-chain analyst known as CW noted that such shifts have historically marked the onset of sustained upside moves, providing a support-for-optimism signal for the broader market.

From a historical perspective, a positive flip in this whale ratio has correlated with meaningful appreciation in ETH’s price: approximately 25% gains over roughly three months, about 50% over six months, and even larger moves within a year. While not a guaranteed predictor, the pattern underscores a common market dynamic: when big owners stop bleeding on paper losses, selling pressure can ease and conviction among the largest holders can re-emerge.

That dynamic matters because ETH’s price action often hinges on how much the whale cohort wants to realize profits and how quickly the broader market absorbs their moves. A fresh wave of on-chain confidence could feed into a broader narrative of accumulation among the richest ETH holders, potentially reinforcing a self-fulfilling rally.

Valuation signals align with a recovery path

Another supportive lens comes from on-chain valuation bands tracked by Glassnode. The data shows ETH rebounding from a low MVRV deviation, with similarities to prior cycles in Q2 2022 and what we observed in 2025. The current setup suggests ETH would need to reclaim its realized price—approximately $2,353—to unlock further upside toward the -0.5 sigma pricing band near $2,640.

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Conversely, failing to reclaim the realized price keeps ETH exposed to downside risk, with the next meaningful support near the lowest deviation band around $1,651. In practical terms, the realized price is acting as a critical fulcrum: a successful reclaim would bolster the bullish thesis, while failure to recapture could invite renewed pressure to test deeper supports.

Technical picture: what the chart is signaling

On the price chart, ETH appears to have broken out of an ascending triangle, a textbook breakout signal. The next phase often involves a retest of the breakout level, where the market checks whether the former resistance has truly flipped into support. If this retest holds, the path toward the measured upside target near $2,625–$2,750 becomes more plausible, with a broader alignment to the on-chain recovery framework described above.

That target sits comfortably within the envelope of the on-chain recovery range highlighted by MVRV analysis, providing an additional layer of confluence for a bullish setup. However, a failed retest could undermine the breakout and re-open downside risk toward the lower support zone around $1,950–$2,000.

What this means for traders and holders

For traders, the convergence of on-chain profitability signals and a constructive chart pattern offers a clearer directional read than in weeks past. The combination of a profitability flip among the 100k+ ETH whale cohort and a successful breakout retest reduces near-term selling pressure from some of the market’s deepest liquidity pockets, potentially enabling a smoother climb higher if macro conditions stay supportive.

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For long-term holders, the narrative centers on a potential re-accumulation phase among the wealthiest ETH wallets and a gradual re-anchoring above realized price levels. This alignment can bolster confidence in ETH’s resilience during broader crypto cycles, especially if macro risk sentiment improves or if fundamental rails such as network activity and developer engagement continue to strengthen.

Historical context and what remains uncertain

It’s important to temper optimism with caution. The 2018 era offers a reminder that a similar flip in profitability among large holders does not guarantee a sustained uptrend. In that period, ETH experienced a notable downside following the signal before eventually stabilizing and resuming its long-term ascent. As with any on-chain narrative, outcomes depend on a confluence of factors, including macro conditions, regulatory developments, and competing liquidity dynamics in DeFi and institutional markets.

Looking ahead, key milestones to watch include a decisive reclaim of the realized price, a sustained hold of the breakout level on retests, and how quickly the market digests the next round of on-chain data from sources like CryptoQuant and Glassnode. If the current signal persists and macro backdrop remains supportive, a test of the $2,750 region by mid-year and a challenge of $3,200 later in the year could be within reach.

This article does not constitute investment advice. Market conditions are subject to change, and investors should perform their own due diligence before acting on any on-chain or technical signals.

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What happens next will hinge on how decisively ETH can defend the breakout and whether the largest holders maintain their renewed profitability. As the ecosystem evolves, traders and hodlers alike should keep a close watch on realized-price dynamics, MVRV deviations, and the evolving behavior of the 100k+ ETH cohort to gauge the durability of any emerging uptrend.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Crypto firms are ditching hundreds of workers to bet the house on AI

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Crypto firms are ditching hundreds of workers to bet the house on AI

The Algorand Foundation on Wednesday joined the ranks of crypto firms slashing headcount, losing 25% of its fewer than 200 employees and citing “the uncertain global macro environment” and a broader crypto downturn.

The cuts arrived as a wave of layoffs proliferates across the industry. In February, Gemini Space Station (GEMI) said it would eliminate roughly 200 positions, about a quarter of its staff, a figure that had grown to 30% by mid-March. On Thursday, Crypto.com said it is trimming 12%, about 180 roles.

That’s on top of 20 employees who got the chop at OP Labs, the company building layer-2 blockchain Optimism, earlier this month and the five full-time employees and three contractors let go at PIP Labs, the team behind Story Protocol, 10% of its workforce. Messari, a crypto data provider that now bills itself as an AI-first company, announced its third round of layoffs since 2023 alongside a CEO change, without giving a number.

Official explanations varied. Algorand pointed squarely at macro conditions and weak token prices, though many framed their cuts as a pivot toward greater use of AI in the workflow.

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“AI is now too powerful not to use at Gemini,” the company said in its letter to shareholders. “Not using AI at Gemini will soon be the equivalent of showing up to work with a typewriter instead of a laptop.”

“We are joining the list of companies integrating enterprise-wide AI,” a Crypto.com spokesperson told CoinDesk on Thursday, pointing to increased efficiencies needing fewer workers. CEO Kris Marszalek on X said companies that do not pivot toward integrating AI into their processes will fail.

Algorand’s cuts reportedly hit community management and business development roles, not positions obviously displaced by AI. To be fair, the company blamed the broader crypto environment. It’s ALGO token recently traded around $0.09, down 98% from its 2019 peak. Bitcoin , the largest cryptocurrency by market capitalization, has lost 20% this quarter.

Industry consolidation

Industry observers pointed to a broader consolidation dynamic. Entire crypto sectors like restaking, DePIN and layer 2s, which were once flush with talent have contracted sharply, while M&A activity is adding to redundancies as acqui-hires — employees acquired by buying a company — displace legacy employees.

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“I see no real indication that these layoffs have anything to do with AI workforce replacement at scale,” said Dan Escow, the founder of crypto recruitment agency Up Top. “Entire categories like restaking, DePIN and L2s that were once robust with talent are basically non-existent. Companies are forced into cost-cutting mode to buy time to figure out how to execute on whatever comes next.”

The broader hiring picture supports that reading. New job postings across major crypto job boards ran at roughly 6.5 per day in January, down around 80% from the same period a year earlier.

Just the companies mentioned in this story — excluding Messari, which did not disclose numbers — have announced around 450 job cuts in a matter of weeks. Thay may be the tip of the iceberg, in crypto winter of 2022 CoinDesk tracked more than 26,000 job losses over the course of the year, a tally that took months to become apparent.

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From Cattle Trades to Crypto: Why XRPL Is Rewriting the Story of Global Money

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • XRPL now hosts $2.3 billion in tokenized real-world assets, drawing major institutional players worldwide.
  • The XRP Ledger settles transactions in 3 to 5 seconds at fractions of a penny, far outpacing traditional wire transfers.
  • Société Générale, SBI Holdings, and Braza Bank have all launched financial products directly on the XRPL platform.
  • Ripple has processed over $100 billion in volume across a network of more than 300 global financial institutions.

The story of money spans thousands of years, from grain trades in ancient villages to decentralized digital ledgers. Each era of exchange solved a problem the previous one could not.

Today, the XRP Ledger stands at the end of that long chain of innovation. With $2.3 billion in tokenized real-world assets and three to five second settlement, XRPL represents the most complete financial infrastructure ever built on a blockchain.

How Every Era of Money Removed a Middleman

Ancient economies ran on barter, trading grain for cattle, salt for silk, and labor for shelter. That system worked within small communities where both parties held what the other needed.

However, it collapsed under its own limits. You cannot carry livestock to a market and expect a clean trade every time.

Coins and precious metals solved that problem. Gold and silver gave value a portable, universal form. For centuries, commerce expanded on the back of metal currency. Then governments stepped in, replacing metal with paper, and banks took control of the system entirely.

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Wire transfers and SWIFT later allowed money to cross oceans for the first time. Yet the cost remained steep, ranging between $10 and $50 per transaction.

Settlements took days, not seconds. Worse, correspondent banking required roughly $27 trillion locked in idle accounts just to function.

Bitcoin arrived as the first serious break from centralized control. It proved that value could travel without a bank acting as intermediary.

But Bitcoin was slow, expensive, and never designed for everyday payments. The architecture that actually completed the journey came next.

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Why XRPL Closes the Chapter That Bitcoin Opened

RippleXity described the arc plainly on X: “From Barter to Blockchain. The Story of Money and Why XRPL Is the Final Chapter.” XRPL was the first blockchain to support native tokenization of any currency.

Dollars, euros, yen, and reais can all be issued and traded directly on the ledger. No smart contracts, no complex programming, just trustlines, tokens, and a built-in decentralized exchange.

The numbers behind the ledger reflect that ambition. It processes up to 1,500 transactions per second at fractions of a penny per transfer.

Settlement completes in three to five seconds. The network also operates on a carbon neutral model, which matters to institutions with governance commitments.

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Major financial players have already moved onto the ledger. Société Générale launched its euro stablecoin on XRPL. SBI Holdings issued a $65 million on-chain bond through the platform.

Braza Bank brought a Brazilian real stablecoin to the ledger as well. Ripple’s own RLUSD stablecoin has crossed $1.5 billion in market capitalization.

Ripple now counts over 300 financial institutions in its network and has processed more than $100 billion in volume.

The company has applied for a Federal Reserve master account and filed VASP licenses across multiple jurisdictions. Every stage of money’s history removed one layer of friction. XRPL appears to have removed the rest.

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SEC Crypto Guidance Is a Major Step, but More Is Needed: Analyst

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SEC, CFTC, United States, Gary Gensler

The recent guidance from the United States Securities and Exchange Commission (SEC) and the Commodity Futures Trading Commission establishing a taxonomy for digital assets put a “final nail” in the coffin of SEC policy under former Chairman Gary Gensler, according to Alex Thorn, the head of firmwide research at investment firm Galaxy.

The SEC guidance, published on Tuesday, established a taxonomy for digital assets, dividing them into five categories, including digital commodities, digital collectibles like non-fungible tokens (NFTs), digital tools, stablecoins, and tokenized securities. 

SEC, CFTC, United States, Gary Gensler
The SEC guidance published on Tuesday establishes which digital assets qualify as securities. Source: SEC

Under the old SEC policy framework, the regulations governing which cryptocurrencies met the legal criteria of “investment contracts” were legislative rules, as opposed to the new 2026 guidance that was filed as an interpretive rule, Thorn said. He explained the significance:

“The distinction matters enormously under the Administrative Procedure Act (APA). A legislative rule or substantive rule goes through notice-and-comment rule-making, has the force and effect of law, and binds both the agency and regulated parties. 

An interpretive rule is exempt from notice-and-comment requirements, does not have the force of law, and merely explains how the agency understands existing statutory provisions,” he continued. 

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The interpretive rule does not legally bind courts to enforce the policies, which gives the SEC and the crypto industry flexibility in adapting to future regulatory changes, he added.

The new regulatory approach gives the crypto industry much-needed clarity over the next 30 months, Thorn Said; however, he clarified that the CLARITY crypto market structure bill must be codified into law to cement the rules over the next several decades. 

Related: SEC interpretation on crypto laws ‘a beginning, not an end,’ says Atkins

The CLARITY Act stalls, but rumors emerge of a tentative deal between White House and lawmakers

The CLARITY Act stalled in January 2025, after crypto exchange Coinbase and other industry players voiced concerns over the prohibition on stablecoin yield and a lack of protections for open-source software developers.

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Crypto companies and industry thought leaders also cited provisions that would effectively gut the decentralized finance (DeFi) sector by imposing reporting requirements and know-your-customer controls on DeFi as a major cause of contention. 

SEC, CFTC, United States, Gary Gensler
Source: Jake Chervinsky

On Friday, Politico published a report of a tentative deal between the White House and lawmakers to move the CLARITY bill forward.

Specific details of the prospective deal have not yet been revealed, although Senator Angela Alsoboorks said the tentative deal includes a ban on stablecoin yield from “passive balances.” 

Magazine: How crypto laws changed in 2025 — and how they’ll change in 2026