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New research proves mutant AI swarms outperform optimized models in a changing world

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Researchers at Allora Labs demonstrate that intentionally worsening individual AI models through genetic mutations improves their collective performance

NEW YORK, Sept. 2, 2026 /PRNewswire/ — Current AI systems are limited by their inability to adapt when the world they were trained on changes. A new paper by the Chief Scientist at Allora Labs proves mathematically that this fundamental limitation can be overcome using the same evolutionary principles that generated intelligence in nature. The research shows that introducing deliberate random mutations into a population of AI models enables the population to collectively outperform any single optimized model as the world around it changes. The paper is titled “Flawed in Nature, Perfect through Evolution” and is published in the journal Allora Decentralized Intelligence.

“Any single AI model, no matter how well trained, accumulates error the moment the world it was trained on changes,” says Dr. Diederik Kruijssen, Chief Scientist at Allora Labs and the paper’s author. “This is an inescapable information-theoretic ceiling. We prove that a population of deliberately diversified models breaks through that ceiling, for the same reason that biological species survive environmental change. They exhibit pre-existing variation, some of which is well-suited to the post-change world.”

The key insight draws directly from evolutionary biology. In nature, species maintain genetic variation through mutation. Most mutations are harmful to the individual organism, but the population benefits because some variants happen to be well-suited to new conditions when the environment shifts. This research demonstrates that the same principle applies to AI model populations: each mutated model is individually worse, but the best model in the mutated swarm outperforms the best model in an optimized swarm approximately 80% of the time when conditions change.

“The idea that individual imperfection enables collective adaptation is well-established in evolutionary theory, but seeing it formalized with mathematical guarantees for artificial systems is a significant step. This work opens a new dimension for thinking about AI robustness under changing conditions.”
— Prof. Steven Longmore, Liverpool John Moores University, AI-driven biodiversity conservation

The paper’s four mathematical theorems prove, step by step, that no single model can escape this performance ceiling, and that a population of mutated models provably breaks through it. Numerical experiments validate all four theorems, with the mutated swarm’s combined output outperforming the original at high statistical significance.

The advantage peaks when the rate at which models mutate roughly matches the rate at which the environment is changing: a “Goldilocks zone” that mirrors evolutionary dynamics. The optimal regime is broad: there is about a hundredfold range around the peak, and the penalty for mutating too slowly is gentle, while mutating too fast degrades performance sharply. This forgiving behavior opens up practical applications.

Nick Emmons, CEO of Allora Labs, says about the work: “As AI systems are deployed in financial markets, healthcare, autonomous vehicles, and other environments that change constantly, the inability to adapt to shifting conditions has become their primary failure mode. Most AI research focuses on making individual models bigger and faster. We think the bigger gain is in how populations of models interact and evolve, and this work proves that’s the right perspective.”

“The qualities we associate with intelligence, like originality, adaptability, and creativity, all require the ability to perform well under conditions you’ve never encountered before,” says Dr. Kruijssen. “Current AI models can’t do that. They replicate what they’ve learned, but they don’t adapt to the unknown. A population of evolving models can. That’s what this work demonstrates, and it’s what evolution has been doing for billions of years.”

The paper outlines several future directions, including the application of the Flawed-in-Nature principle to large language models through fine-tuning methods, its extension to decentralized AI networks, and the development of a controller algorithm that tunes mutation strength automatically without requiring knowledge of how the environment changes. “A result like this opens up so many downstream directions,” adds Dr. Kruijssen. “Our team has already built the controller that makes this principle work in practice, and the work on several concrete applications has started too.”

About Allora Labs

Allora Labs is the main developing contributor to Allora Network, a decentralized AI inference network that harnesses a globally distributed community of machine learning models to produce highly accurate, context-aware predictions in real time. Founded by CEO Nick Emmons, Allora Labs conducts research in swarm intelligence, model coordination, and inference synthesis. The company has partnered with organizations including AWS, Alibaba Cloud, Saudi Telecom, and Vodafone’s Pairpoint, and has raised backing from investors including Polychain, Framework, Blockchain Capital, and CoinFund. To learn more, visit alloralabs.xyz and allora.network.

About Allora Decentralized Intelligence

Allora Decentralized Intelligence (ADI) is a scholarly research journal publishing innovation in decentralized machine intelligence, model coordination, and swarm intelligence. ADI was founded and is led by Dr. Diederik Kruijssen, Chief Scientist at Allora Labs. He is an AI/ML researcher and astrophysicist with 20 years of experience in state-of-the-art quantitative modeling across research, tech, finance, and web3, and authored more than 300 peer-reviewed publications.

Paper details

Title: “Flawed in Nature, Perfect through Evolution”Author: J. M. Diederik KruijssenJournal: Allora Decentralized Intelligence, Volume 3, 1-32Publication date: September 2, 2026https://doi.org/10.70235/allora.0x30001arXiv:2609.00129

Media contact

Phi Tran
VP of Marketing, Allora Labs
phi@alloralabs.xyz

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Cboe Clear U.S. Receives SEC Approval to Expand Clearing Capabilities

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SEC registration enables Cboe Clear U.S. to clear binary securities options alongside futures, positioning it to support innovation across the market

CHICAGO, Oct. 23, 2026 /PRNewswire/ — Cboe Global Markets, Inc. (Cboe: CBOE), a leading global markets operator and pioneer in equity and index derivatives, today announced that Cboe Clear U.S., LLC (CCUS) has received temporary registration from the U.S. Securities and Exchange Commission (SEC) to operate as a Covered Clearing Agency.

The registration expands CCUS’s clearing capabilities beyond its existing authorities as a Commodity Futures Trading Commission (CFTC)-registered Derivatives Clearing Organization (DCO) to clear securities products in addition to futures and swaps products. Together with recent enhancements to its regulatory framework and product scope, the milestone positions CCUS to support innovation and emerging opportunities across a broad range of assets and markets.

CCUS will initially use its SEC registration to clear Cboe’s binary securities options tied to specified corporate key performance indicators (KPIs), which are planned to list on Cboe Options Exchange and be available on Robinhood in the fourth-quarter 2026. CCUS also recently received CFTC approval to clear margined futures broadly and continues to clear digital asset derivatives under its DCO designation.

“Clearing plays a critical role in bringing innovation to market,” said Dale Michaels, Head of Cboe Clear U.S. “These expanded capabilities position Cboe Clear U.S. to become an innovation lane to support new products and meet evolving customer needs, while maintaining the rigorous risk management standards that are fundamental to our business.”

These efforts complement Cboe’s longstanding partnership with The Options Clearing Corporation (OCC)® and Cboe’s continued commitment to supporting the established clearing infrastructure for traditional equity options.

The development builds on the growth of Cboe’s established European clearing business, where Cboe Clear Europe has become the leading pan-European equities central counterparty, while expanding into new services such as securities financing transaction clearing. Together, these advances demonstrate Cboe’s ability to extend its clearing capabilities across markets and asset classes.

To support its own future growth, CCUS has strengthened its infrastructure over the past year, including electing in June to become a Subpart C DCO. In doing so, CCUS is voluntarily adopting the enhanced standards the CFTC applies to systemically important DCOs for financial resources, risk management and operational resilience, aligning with those applied to leading global clearing organizations.

About Cboe Global Markets

Cboe Global Markets (Cboe: CBOE) is a leading global markets operator with a long history of innovation in equity and index derivatives. Since launching the world’s first listed options exchange in 1973, Cboe has pioneered landmark products, including the introduction of S&P 500® index options and the creation of the VIX® Index, the world’s leading gauge of market volatility, reshaping how investors manage risk and access opportunity. Today, Cboe operates derivatives, equities, and FX markets, providing trading, clearing, and investment solutions for customers worldwide. To learn more, visit www.cboe.com.

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Cboe®, Cboe Global Markets®, and VIX ® are registered trademarks or service marks of Cboe Exchange, Inc and S&P 500® is a registered trademark of Standard & Poor’s Financial Services LLC. All other trademarks and service marks are the property of their respective owners. 

Cautionary Statements Regarding Forward-Looking Information

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 that involve a number of risks and uncertainties. You can identify these statements by forward-looking words such as “may,” “might,” “should,” “expect,” “plan,” “anticipate,” “believe,” “estimate,” “predict,” “potential” or “continue,” and the negative of these terms and other comparable terminology. All statements that reflect our expectations, assumptions or projections about the future other than statements of historical fact are forward-looking statements. These forward-looking statements, which are subject to known and unknown risks, uncertainties and assumptions about us, may include projections of our future financial performance based on our growth strategies and anticipated trends in our business. These statements are only predictions based on our current expectations and projections about future events. There are important factors that could cause our actual results, level of activity, performance or achievements to differ materially from those expressed or implied by the forward-looking statements.

We operate in a very competitive and rapidly changing environment. New risks and uncertainties emerge from time to time, and it is not possible to predict all risks and uncertainties, nor can we assess the impact of all factors on our business or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward-looking statements.

Some factors that could cause actual results to differ include: the loss of our right to exclusively list and trade certain index options and futures products; economic, political and market conditions; compliance with legal and regulatory obligations; price and new products and services competition and consolidation in our industry; decreases in trading or clearing volumes, market data fees or a shift in the mix of products traded on our exchanges; legislative or regulatory changes or changes in tax regimes; our ability to protect our systems and communication networks from security vulnerabilities and breaches; our ability to attract and retain skilled management and other personnel; increasing competition by foreign and domestic entities; our business and operational dependence on and exposure to risk from third parties; factors that impact the quality and integrity of our and other applicable indices; our ability to manage our global operations, growth, and strategic acquisitions, wind downs, divestitures, or alliances effectively; increases in the cost of the products and services we use; our ability to operate our business without violating the intellectual property rights of others and the costs associated with protecting our intellectual property rights; our ability to minimize the risks, including our credit, liquidity, market, investment, counterparty, and default risks, associated with operating our  clearinghouses; our ability to accommodate trading and clearing volume and transaction traffic, including significant increases, without failure or degradation of performance of our systems; misconduct by those who use our markets or our products or for whom we clear transactions; challenges to our use of open source software code; our ability to meet our compliance obligations, including managing our business interests and our regulatory responsibilities; the loss of key customers or a significant reduction in trading or clearing volumes by key customers; damage to our reputation; the ability of our compliance and risk management methods to effectively monitor and manage our risks; restrictions imposed by our debt obligations and our ability to make payments on or refinance our debt obligations; our ability to maintain an investment grade credit rating; impairment of our goodwill, long-lived assets, investments or intangible assets; the accuracy of our estimates and expectations; and litigation risks and other liabilities. More detailed information about factors that may affect our actual results to differ may be found in our filings with the SEC, including in our Annual Report on Form 10-K for the year ended December 31, 2025 and other filings made from time to time with the SEC.

We do not undertake, and we expressly disclaim, any duty to update any forward-looking statement whether as a result of new information, future events or otherwise, except as required by law. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof.

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SOURCE Cboe Global Markets, Inc.

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Hears Everything, Uploads Nothing: VoxNexus Launches Android’s First Low-Power On-Device Always-On Voice Artificial Intelligence (AI)

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VoxNexus’ new on-device ambient listening solution runs for 12 hours on 2.49% of a phone’s battery and never sends audio to the cloud

MADRID, Oct. 23, 2026 /PRNewswire/ — VoxNexus (www.VoxNexus.ai) released VoxEdge, an on-device voice stack that brings speech recognition, translation and speech synthesis to affordable Android devices, entirely offline. VoxEdge supports speech recognition in 36 languages, translation in 103 languages, and speech synthesis in 45 languages—all running with no connection, no data bundle, and no cloud token bills.

AI should work for everyone, not just for speakers of a handful of mainstream languages. Yet across much of Africa, voice AI has been held back by scarce training data and the lack of targeted fine-tuning. Everyday speech also includes code-switching and dialect variation, while cloud-based inference costs can make deployment at scale expensive. 

VoxNexus’s solutions run entirely on device, and every query is free once the model is installed on the device. Its speech recognition model has as few as 65 million parameters and achieves a lower word error rate than open-source models nearly ten times its size.

“Under-resource languages aren’t small languages. Hundreds of millions of people speak them. Until now, AI models just haven’t learned them yet,” said Charles Shi, CEO of VoxNexus.

VoxNexus also launched VoxSense, an on-device ambient listening solution that uses only 162 mAh for 12 hours of continuous listening, around 2.5% of a 6,500 mAh phone battery. By keeping all processing on device, VoxSense makes always-on listening practical without draining the battery and without sending any audio to the cloud. Developers and device makers can easily integrate it through a license and a simple SDK. Developers can request a free trial here: www.VoxNexus.ai.

VoxSense and VoxEdge were unveiled at the MediaTek Dimensity 9600 launch in Madrid on October 19.

Distributed by APO Group on behalf of VoxNexus AI. 

About VoxNexus:
VoxNexus builds AI that hears and speaks — for everyone, everywhere, all the time. Its audio intelligence runs entirely on-device, delivering low latency, built-in privacy, and zero token cost across any device with a chip. VoxNexus is headquartered in Singapore. Website: www.VoxNexus.ai. Contact: public@voxnexus.ai  

VoxNexus demonstrates live on-device speech recognition at the MediaTek Dimensity 9600 launch in Madrid on Oct. 19, 2026. Spanish and English conversations were transcribed in real time on the phone, with no cloud connection. (Photo: VoxNexus) 

Speaks Your Language, No Internet Needed: VoxNexus Brings On-Device Voice Artificial Intelligence (AI) in 100+ Languages to Affordable Android Devices

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SOURCE VoxNexus AI

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team.blue extends €1.1 billion of its Term Loan B to 2032 in the largest software Euro term loan issuance in the last 12 months

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GHENT, Belgium, Oct. 23, 2026 /PRNewswire/ — team.blue, a leading pan-European provider of digital solutions for small and medium-sized businesses (SMBs) backed by Hg, CPP Investments and Sofina, today announces the successful pricing of an amendment and maturity extension for €1.1 billion of its existing €1.35 billion Term Loan B. The transaction priced on 22 October 2026, with the refinanced tranche extended from September 2029 to July 2032, reinforcing the Company’s prudent capital structure approach.

Strong demand from a broad group of institutional investors enabled team.blue to upsize the transaction twice in-market, taking the final deal size to €1.1 billion from a minimum initial launch size of €500 million, despite recent credit market volatility. Pro forma for the transaction, c.90% of team.blue’s term debt now matures in 2032.

The transaction comes at a time of significant momentum for team.blue, with continued double-digit revenue growth and strong cash generation supporting its deleveraging trajectory. Its products help Europe’s SMBs get online, get customers, get paid and stay compliant, and AI-enabled products are increasingly driving new customer growth. team.blue continues to innovate across its portfolio, from smarter tools within its brands to secure European cloud hosting built for customers’ growing AI workloads. Its category-leading SaaS brands are also integrating with leading AI assistants, bringing team.blue’s products to customers wherever they work.

Transaction highlights

The largest software Euro term loan issuance in the last 12 months€1.1 billion Term Loan B, borrowed by team.blue Finco S.à r.l., maturing July 2032Priced at E + 425bps with a 0% floor and an OID of 98.5Upsized twice from an initial €500 million, reflecting a heavily oversubscribed order bookCorporate and facility ratings of B3 (Moody’s) and B (S&P), both with stable outlooksBofA acted as Global Coordinator and Left Lead Physical Bookrunner, alongside Barclays. ABN AMRO, BNP Paribas, Citi, ING and J.P. Morgan acted as Bookrunners

Jonathan Thackray, Chief Financial Officer of team.blue, said:
“We set out to extend €500 million of our Term Loan B, and the depth of support from our institutional investor base allowed us to go much further. This reflects confidence in team.blue’s highly recurring, cash-generative model and our position as a leading digital partner for Europe’s SMBs. It gives us the flexibility to keep innovating and investing in the digital and AI-enabled tools our customers rely on.”

About team.blue
team.blue is the pan-European digital partner for small and medium businesses, serving more than 3.5 million customers in 24 countries. From web hosting, domains, email and cloud and AI infrastructure to e-commerce, engagement, payments and compliance tools, team.blue helps SMBs get online, get customers, get paid and stay compliant. Supported by more than 4,000 employees, team.blue’s vision is to make online business success simpler, with artificial intelligence at every step. 

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