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ALT5 Sigma Raises $1.5B Raise with Eric Trump Board Seat as AlphaBot launches Pulse

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ALT5 Sigma Corporation (NASDAQ: ALTS) has announced a $1.5 billion capital raise through a registered direct offering and a concurrent private placement, both priced at $7.50 per share, totaling 200 million shares.

The proceeds will fund the acquisition of approximately 7.5% of the World Liberty Financial (WLFI) token supply to establish a cryptocurrency treasury, alongside settling litigation, repaying debt, and supporting general operations. The private placement is funded entirely by WLFI tokens from World Liberty Financial, with the registered offering involving institutional and crypto-focused investors.

The deal is expected to close on or about August 12, 2025, subject to customary conditions. Additionally, ALT5 Sigma is undergoing a leadership restructuring. Zach Witkoff, co-founder and CEO of World Liberty Financial, will become chairman of the board.

Eric Trump will join as a director, Zak Folkman, WLFI’s co-founder and COO, will serve as a board observer, and Matt Morgan will take on the role of chief investment officer. These changes align with ALT5’s strategic shift toward integrating blockchain-based assets into its treasury operations.

The announcement led to a volatile market response, with ALTS shares surging 9.66% on August 11, closing at $8.97, though some reports noted a subsequent 9.8% drop, reflecting investor caution over dilution risks and the volatile nature of cryptocurrency markets.

ALT5 Sigma’s acquisition of 7.5% of WLFI’s token supply positions it as a pioneer in holding non-Bitcoin cryptocurrencies as a core treasury asset. This mirrors a growing trend where companies like MicroStrategy (holding over 628,000 BTC worth $71 billion) and Metaplanet (Bitcoin holdings nearing $1.78 billion) diversify their balance sheets with digital assets.

By choosing WLFI, a token not yet publicly tradable, ALT5 is betting on its future value and adoption, potentially signaling confidence in DeFi (decentralized finance) projects. The move is risky due to WLFI’s untested market performance and the volatile nature of altcoins. Conversely, success could make ALT5 a model for other firms.

The $1.5 billion raise, split evenly between a registered direct offering and a private placement funded by WLFI tokens, allows ALT5 to settle litigation, repay debt, and fund operations while building a crypto treasury. This blended financing structure (fiat and tokens) reduces immediate cash outflows but ties ALT5’s financial health to WLFI’s performance.

The leadership changes and token acquisition deepen ties between ALT5 and WLFI, a Trump-backed DeFi project aiming to democratize finance through user-friendly tools. This partnership could enhance ALT5’s role in the DeFi ecosystem, leveraging WLFI’s USD1 stablecoin and governance token to expand its blockchain-based payment and trading platforms (ALT5 Pay and ALT5 Prime).

WLFI’s token, with $550 million raised in sales and a recent community vote (99.94% approval) to enable trading, gains legitimacy through ALT5’s investment. This could drive demand for WLFI tokens once publicly tradable, potentially boosting its ecosystem and user engagement. The involvement of Eric Trump and the Trump-backed WLFI project ties ALT5 to a politically charged narrative.

By structuring the private placement with WLFI tokens under exemptions from public registration, ALT5 navigates U.S. securities laws creatively. This could invite closer SEC scrutiny, particularly as WLFI tokens transition to tradability, potentially setting a test case for how DeFi tokens are treated under U.S. regulations.

The dual structure of ALT5’s $1.5 billion raise—combining a registered direct offering (cash-based) with a private placement (WLFI token-based)—sets a precedent for hybrid financing models. This approach allows companies to tap crypto markets while maintaining compliance with traditional securities laws.

The WLFI token’s transition to tradability, coupled with ALT5’s treasury strategy, sets a precedent for how DeFi tokens navigate regulatory frameworks. The community vote to unlock WLFI tokens (99.94% approval) and ALT5’s use of unregistered securities for the private placement could influence how regulators view token-based corporate treasuries.

Pulse’s Launch Underscores InfoFi’s Potential to Redefine How Information is Valued and Monetized

AlphaBot launched Pulse, an InfoFi protocol, in July 2025, aiming to set a new standard in the Web3 information finance space. Built by AlphaBot and powered by $BOOST, Pulse is designed to transform data, attention, and user behavior into tokenized assets.

The beta launch featured two projects with a 0.5% + $90K reward pool for participants, known as “Pulsooors.” Pulse operates as a platform on top of InfoFi, focusing on real-time insights and community-driven project discovery. It’s integrated with AlphaBot’s ecosystem, which boasts 2.4M monthly users and 180M+ raffle entries, emphasizing project efficiency and security.

Pulse’s model, built on AlphaBot’s ecosystem with 2.4M monthly users, emphasizes tokenizing attention through its $BOOST-powered reward system. This reinforces the InfoFi trend of converting user engagement into quantifiable, tradable assets, as seen in platforms like Kaito and Cookie.fun.

By rewarding “Pulsooors” for participation, Pulse validates the concept that attention is a valuable commodity, potentially setting a precedent for broader adoption across Web3. Pulse’s focus on real-time insights and community-driven project discovery aligns with InfoFi’s goal of decentralizing information access.

By leveraging AlphaBot’s infrastructure, Pulse enables users to contribute to and benefit from a transparent ecosystem, reducing reliance on centralized platforms. This could inspire other InfoFi projects to prioritize community governance and decentralized data aggregation. Pulse’s use of blockchain for transparency and AI for data processing mirrors the technological backbone of leading InfoFi platforms like Kaito and Bubblemaps.

This integration enhances the ability to analyze and monetize unstructured data, such as social sentiment and on-chain activity, further solidifying InfoFi’s role as a bridge between AI, blockchain, and financial incentives. Pulse’s launch highlights ongoing InfoFi challenges, such as skewed reward distribution and lack of long-term sustainability, as noted in X posts.

These issues could prompt the industry to refine incentive mechanisms to ensure equitable value distribution and prevent engagement farming, which risks diluting high-quality contributions. With AlphaBot’s established user base and Pulse’s $90K+ reward pool, the project amplifies InfoFi’s visibility in the Web3 space.

This could attract more retail and institutional participants, boosting the global blockchain analytics market, projected to reach $14.31 billion by 2030. Pulse’s beta launch with two projects and a novel reward system pushes InfoFi projects to innovate beyond traditional leaderboards.

As noted on X, competition among InfoFi campaigns requires new layers of rewards to attract influential voices, potentially leading to more sophisticated incentive models across the sector. By rewarding participants for contributing to project attention, Pulse aligns with InfoFi’s ethos of empowering creators and users.

This approach, similar to Kaito’s Yaps or Cookie.fun’s Snaps, democratizes value distribution, encouraging more users to engage in content creation and community building, thus expanding the InfoFi ecosystem. Pulse’s integration with AlphaBot’s ecosystem suggests potential synergies with DeFi and SocialFi, as InfoFi platforms increasingly intersect with other Web3 sectors.

For instance, reputation scoring systems like those in Ethos Network could complement Pulse’s attention-based rewards, creating new use cases for DeFi lending or community governance. Pulse’s launch underscores InfoFi’s potential to redefine how information is valued and monetized in Web3. However, its success depends on addressing scalability, liquidity, and product-market fit, as highlighted by industry analyses.

As Pulse and similar projects evolve, they could drive InfoFi toward becoming a cornerstone of the decentralized economy, fostering a more transparent, equitable, and data-driven financial landscape.

Altman Says Young Workers Will Thrive in the AI Era — Older Employees May Struggle

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OpenAI CEO Sam Altman believes that the workforce disruption caused by artificial intelligence will hit older employees far harder than fresh graduates. This view stands in sharp contrast to the warnings voiced by many other tech leaders.

Speaking on Cleo Abram’s Huge Conversations YouTube show, Altman said he is “more worried about what it means not for the 22-year-old, but for the 62-year-old that doesn’t want to go retrain or rescale or whatever the politicians call it that no one actually wants.”

He acknowledged that AI will inevitably eliminate some jobs, but argued that younger people entering the workforce are far better positioned to adapt and take advantage of the technology.

“If I were 22 right now and graduating college, I would feel like the luckiest kid in all of history,” Altman said. “There’s never been a more amazing time to go create something totally new, to go invent something, to start a company… It is probably possible now to start a one-person company that will go on to be worth more than a billion dollars and deliver an amazing product and service to the world.”

Altman’s optimism is rooted in his belief that the breadth of AI capabilities has opened unprecedented opportunities for innovation, entrepreneurship, and productivity. In his view, the AI era could produce entirely new industries and professions, potentially enabling even solo founders to rival major corporations in scale.

However, not all of his peers share that sentiment. Anthropic CEO Dario Amodei recently warned that AI could wipe out up to half of entry-level white-collar jobs within the next five years — a scenario he called a “potential catastrophe” given the lack of robust societal and policy frameworks to manage the displacement.

Amodei and other industry leaders stress that without deliberate retraining programs and social safety nets, the job losses could hit younger and less experienced workers hard, regardless of their adaptability.

Altman acknowledged that beyond a five-year horizon, predicting the labor market becomes more difficult due to the accelerating pace of AI development. He painted a futuristic — almost science-fiction — picture of what work might look like in 2035, imagining graduates taking on roles as space explorers or operating in entirely new industries that do not exist today.

The divide between Altman’s hopeful outlook and the caution voiced by other AI leaders underscores a key tension in the public AI debate: whether the technology will be a great economic equalizer or a force that deepens inequality. While younger workers may indeed have more flexibility to adapt, older employees in sectors susceptible to automation could face steep challenges — particularly if governments and corporations fail to invest in meaningful retraining and transition strategies.

This generational disparity in AI readiness is expected to shape labor policy discussions in the coming years, especially as AI adoption accelerates across industries from law and finance to healthcare and logistics. The question may no longer be whether AI will replace jobs, but who will be best prepared to seize the opportunities it creates — and who risks being left behind.

Global Cyber Attacks Surge 21% in Q2 2025, Education Sector Hit Hardest – Report

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Global cyberattacks surged in the second quarter (Q2) 2025, climbing by 21% year-over-year, according to new data from Check Point Research.

Driven by increasingly sophisticated tactics, AI-powered threats, and a widening digital attack surface, the spike underscores the growing pressure on organizations to bolster their cyber defenses in an era where no sector is off-limits.

Findings from the research revealed that in Q2 2025, the average organization faced 1,984 weekly cyber attacks, marking a 21% year-on-year increase and a 58% rise compared to two years ago. In July, the average number of cyber attacks per organization per week reached 2,011. That’s a 3% increase from the previous month and a 10% rise compared to July 2024. The steady climb highlights how persistent and adaptable threat actors continue to be.

While the long-term upward trend continues, industry and region-specific data revealed notable developments, including sustained targeting of the education sector and significant growth in attacks across Europe.

Education Remains the Prime Target

The education sector once again topped the list, enduring 4,388 weekly cyber attacks per organization, a 31% increase compared to Q2 2024. Government organizations followed with 2,632 weekly attacks (+26% YoY), while telecommunications saw a sharp surge to 2,612 weekly attacks (+38% YoY).

The report notes that the education sector’s vulnerability lies in its often underfunded security infrastructure and the abundance of exploitable credentials. Government agencies remain attractive for their sensitive data and geopolitical value, while telecommunications providers are being targeted for their critical infrastructure and access to vast customer datasets.

Europe Leads in Growth

Regionally, Africa experienced the highest average volume at 3,365 weekly attacks per organization (+14% YoY), followed by APAC at 2,874 (+15%) and Latin America at 2,803 (+5%).

However, Europe stood out with a 22% year-on-year growth, the largest regional increase, driven by geopolitical tensions, regulatory fragmentation, and the region’s dense concentration of high-value data.

Ransomware Remains a Major Threat

Public data from double-extortion “shame sites” revealed around 1,600 ransomware incidents globally in Q2 2025. North America accounted for 53% of these disclosures, while Europe contributed 25%.

Business services (10.7% of reported victims), industrial manufacturing (9.8% of reported victims), and construction & engineering (9.5% of reported victims) were the top three industries affected by ransomware.  Other impacted sectors ranged from healthcare to government and transportation, underscoring ransomware’s broad reach.

To better combat the surging threat of cyberattacks, organizations are advised to do the following;

Invest in threat prevention: Use advanced security technologies such as intrusion prevention systems (IPS), anti-ransomware tools, and threat intelligence to block attacks before they cause damage.

Strengthen endpoint and network defenses: Implement robust firewalls, email security, and endpoint protection platforms to reduce attack surfaces.

Promote user awareness: Run regular training and simulated phishing exercises to help employees recognize and report suspicious activity.

Ensure backup and recovery readiness: Maintain up-to-date, segmented backups and test recovery processes regularly to limit downtime in the event of ransomware or other disruptions.

Adopt zero trust principles: Continuously verify access permissions and segment networks to minimize lateral movement.

Stay informed: Monitor threat intelligence feeds and industry alerts to anticipate emerging threats.

However, while no single solution can completely eliminate cyber risk, organizations can significantly enhance their resilience by implementing multiple coordinated layers of protection. This approach helps to reduce both the likelihood and impact of a successful attack.

OpenSea’s $10K AI Creator Contest is a Bold Step in Showcasing AI Potential to Redefine the NFT Landscape

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OpenSea announced an AI Creator Contest with $10,000 in cash prizes, XP, and an opportunity to collaborate with their team. Participants are required to submit original AI-generated work featuring themes related to OpenSea, NFTs, memes, or crypto culture.

The contest encourages creators to showcase their skills in AI-driven content creation. Submissions were open from August 4, 2025, through August 22, 2025.

AI tools like DALL·E, Midjourney, and GPT-based models enable creators to generate unique digital assets, such as art, avatars, or music, with minimal technical expertise. This lowers barriers to entry, allowing a broader range of creators to participate in the NFT space, as seen in OpenSea’s contest encouraging original AI-driven content.

AI can create NFTs that evolve over time based on user interactions, real-world data, or emotional inputs. For example, a gaming NFT might level up or a music NFT could remix itself daily, enhancing engagement and long-term value. AI tailors NFTs to individual collector preferences, fostering emotional connections and driving adoption.

This hyper-personalization could make NFTs more appealing, as collectors receive assets aligned with their tastes. AI algorithms analyze user behavior, preferences, and past interactions to suggest relevant NFTs, as exemplified by platforms like SuperRare. This enhances discovery, reduces search friction, and boosts sales.

OpenSea’s contest could leverage such AI-driven curation to spotlight winning entries. Multimodal AI, combining text, image, and metadata analysis, delivers precise search results. For instance, searching “cyberpunk art” yields visually relevant NFTs, not just keyword matches, improving user satisfaction.

AI can introduce gamified elements like challenges or rewards, as seen in OpenSea’s contest offering XP and collaboration opportunities. This fosters community loyalty and sustained engagement. AI-driven tools analyze market trends, historical data, and artist reputation to suggest fair NFT valuations, preventing over- or undervaluation.

AI streamlines royalty distribution through smart contracts, ensuring creators are fairly compensated on secondary sales. This transparency builds trust, a key factor in contests like OpenSea’s where creators expect equitable rewards. AI forecasts market trends and user behaviors, enabling creators and collectors to make informed decisions.

AI verifies NFT authenticity by scanning metadata, digital signatures, and blockchain records, reducing counterfeits. This is critical for platforms like OpenSea, where trust is paramount for contest participants and buyers. Advanced AI systems enable real-time authentication, protecting creators from property misuse and buyers from scams, enhancing marketplace integrity.

AI-powered tools filter spam, scams, or inappropriate content in marketplace communities, ensuring a safe environment for contests and user interactions. AI enables businesses to launch customized NFT platforms quickly using pre-built solutions, as seen with white-label providers. This scalability could inspire smaller marketplaces to host AI-driven contests similar to OpenSea’s.

AI links NFTs to personalized metaverse experiences or in-game assets, expanding their utility. OpenSea’s focus on crypto culture in its contest hints at potential ties to virtual worlds. AI analyzes market sentiment and trends, as seen in platforms like NonFungible.com, helping investors identify valuable NFTs.

AI-generated NFTs raise questions about authorship and intellectual property. For instance, who owns an NFT created by AI trained on existing artworks? OpenSea’s contest may need clear guidelines to address this. AI models can inherit biases from training data, potentially skewing recommendations or valuations.

AI’s ease of content creation could flood marketplaces with low-quality NFTs, diluting value and overwhelming collectors. OpenSea’s contest, while encouraging creativity, must balance quantity with quality to maintain market appeal. AI-NFTs face challenges in standardizing formats across platforms.

OpenSea’s initiative, with $10,000 in prizes and collaboration opportunities, incentivizes creators to experiment with AI, potentially setting trends for the broader NFT ecosystem. By fostering AI-driven creativity, OpenSea positions itself as a leader in this evolving space, encouraging a new wave of collectors and artists to join the adventure.

AI’s integration into NFT marketplaces like OpenSea is revolutionizing how digital assets are created, discovered, and traded. It enhances creativity, user engagement, and market efficiency while addressing security and trust. However, ethical, technical, and environmental challenges must be navigated to ensure sustainable growth.

Data Intelligence and Modular Design Push Prepaid Credit Cards Into a New Era

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From a minor role in the payments world, prepaid credit cards have become a focal point for financial innovation. What began as straightforward stored-value tools now blends artificial intelligence, open banking integration and modular system design, giving them the speed and flexibility to operate seamlessly in both established financial centres and rapidly developing African markets. AI tools examine transactions as they happen, allowing immediate and precise adjustments, while modular systems make it possible to add new features and stay compliant without overhauling the entire platform. With open banking gaining ground, these cards are increasingly set to move funds directly between accounts, sidestepping the traditional card networks entirely.

A Market Opening New Doors

These shifts are creating payment tools that travel easily across borders and fit a variety of spending habits. The same advances now shape opportunities in sectors where flexibility and wide acceptance are critical to attracting and keeping customers. They are used for everything from booking international travel and managing online subscriptions to streamlining cross-border e-commerce. Retail chains and entertainment venues increasingly integrate them into loyalty and payment systems. 

The same versatility is now visible in US casinos that accept prepaid credit cards. Among the notable advantages is the speed and simplicity of transactions, with Vanilla Visa deposits processed instantly in most cases. Players benefit from strong privacy protection, as these prepaid cards require no direct link to a bank account. In many venues, these deposits can additionally qualify for welcome offers or ongoing bonuses, adding further value to the payment choice.

The growing flexibility of payment technology has heightened demands on how providers manage security and regulatory obligations. Delivering quick, seamless transactions now goes hand in hand with maintaining systems that can adjust to changing rules without interrupting operations. Today’s prepaid platforms are designed to balance ease of use with the agility needed to comply with stringent requirements in diverse markets.

Compliance Becomes a Competitive Edge

Regulation varies wildly from one border to the next. For anyone issuing prepaid credit cards across multiple markets, the patchwork is unavoidable — anti-money laundering rules, know-your-customer checks, data privacy laws, and sometimes currency controls. The complexity is most visible in busy corridors linking Africa to Europe, the Middle East and Asia, where funds move quickly but rules differ at every stop.

Some have turned this into an advantage. By weaving compliance into the architecture itself, fintech firms can swap out or upgrade verification modules without taking the whole system offline. AI assists here too, scanning documents, calculating risk scores, and catching irregularities before they turn into problems. In practice, what once took days — onboarding a new customer — can now take minutes.

The real test comes in places where rules are shifting underfoot. In parts of Africa, central banks and regulators are rewriting their playbooks to meet global benchmarks. A platform that can adjust its compliance layer overnight is not just ready — it’s resilient.

Localisation as a Growth Strategy

Technology alone does not build market share. Local knowledge matters just as much. Modular prepaid card systems are being tailored for the currencies, habits and legal frameworks of specific regions. In many African countries, where mobile money is deeply embedded and bank branches scarce, prepaid credit cards can act as a bridge from cash economies into the digital arena.

Tying a card to a mobile wallet creates instant utility — a payment method for local markets and cross-border transactions alike. AI-backed analysis reveals which features work best in each territory. Maybe it’s multi-currency functions in one place, loyalty rewards in another. Rollouts can be selective, ensuring relevance.

This is not just an African story. The same method works in Southeast Asia, Latin America and Eastern Europe. Payment habits differ. Regulations diverge. Language can be a barrier. A single modular system, adapted in small but precise ways, can meet all of these demands.

Risk Management in Real Time

Fraud is a constant in global payments, and prepaid products are no exception. But the tools to fight it have become faster and more precise. AI-powered engines watch millions of transactions, learning what normal looks like — and flagging the rest in seconds.

In a modular setup, these risk models can be swapped or upgraded without touching unrelated systems. If one market suddenly sees a spike in card-not-present fraud through e-commerce, a fix can be deployed there immediately, leaving unaffected markets untouched.

Speed matters most in cross-border networks. A gap between detection and response can mean the difference between containing a breach and letting it spread. In high-volume corridors, such as remittances between African and European hubs, small gains in fraud prevention add up to big savings and stronger trust.

Open Banking Redraws the Landscape

With open banking rules taking hold in more countries, prepaid credit cards are breaking past old limits. Consent-based access to bank account data gives fintech firms a way to combine the agility of prepaid products with the full reach of traditional banking.

The result can be instant top-ups from linked accounts, currency converted at the moment of purchase, or detailed spending insights delivered within seconds. In African markets connected to regional payment networks, the same framework could allow a single prepaid card to pull funds from multiple sources at once, removing extra steps and cutting transaction costs.

Modular systems make this shift easier. New open banking features can be added without reengineering the whole platform. They can be trialled in one market, refined, and then launched more widely — speeding innovation while keeping risk in check.

Partnerships Set the Pace

No single player dominates this field. Growth often comes through alliances between fintech developers, banks, processors and technology platforms. In Africa, joining the reach of telecom operators with the adaptability of prepaid cards has produced notable gains.

Elsewhere, e-commerce sites, travel operators and gig-economy platforms are integrating prepaid functionality directly into their ecosystems. This makes the step from earning or shopping online to paying in the physical world almost seamless.

For issuers, these collaborations mean faster access to new markets, more transactions and valuable streams of data to refine their services. For partners, the benefits lie in deeper customer engagement and fresh revenue drawn from payment activity.

Cloud Infrastructure as the Foundation

Much of this new agility rests on the cloud. Prepaid platforms can now scale their capacity in real time, roll out updates across geographies, and connect with external services through APIs without prolonged downtime.

In regions where physical infrastructure is scarce — parts of sub-Saharan Africa in particular — cloud deployment removes the need for expensive on-site hardware. Regional data centres can be used to comply with localisation rules, ensuring sensitive information stays within the right borders.

When combined with modular design, the cloud becomes more than a hosting choice. It forms a resilient backbone, one that keeps prepaid card services in step with a rapidly shifting payments industry while maintaining the security and reliability users expect.