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Apple Explores Third-Party AI Models For Siri in Bid to Catch up in AI Race

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Tech giant Apple is considering integrating Anthropic’s Claude or OpenAI’s ChatGPT to enhance its Siri assistant, according to Bloomberg reports.

While Apple has traditionally relied on its own AI technology, it has reportedly engaged both AI companies to train large language models for testing on its cloud infrastructure. This move comes as Apple’s AI-upgraded Siri, initially planned for 2025, has been delayed to 2026 due to technical setbacks, highlighting the company’s struggle to keep pace in the competitive AI landscape.

Apple is perceived to be lagging in the AI race. Its AI efforts, including Siri, have faced challenges, with critics noting that Siri has not kept pace with competitors like Google Assistant, Amazon’s Alexa, or advanced models like ChatGPT. Recent reports highlight internal struggles, such as slower progress in developing proprietary large language models and a management shakeup, including the reassignment of AI chief John Giannandrea.

Apple’s exploration of third-party AI models from OpenAI or Anthropic for Siri suggests an acknowledgment of these gaps, as it seeks to bolster its AI capabilities to remain competitive. However, Apple’s strong ecosystem and integration potential could still position it to catch up if it leverages external partnerships effectively.

The tech giant continues to develop an internal project called “LLM Siri,” which aims to power a revamped Siri using in-house models. However, the company is now exploring deeper integration with third-party AI technologies, building on Siri’s existing ability to leverage ChatGPT for complex queries.

This potential pivot to external models signals Apple’s acknowledgment of its challenges in generative AI, a critical technology where it trails competitors like Google, OpenAI, and Anthropic.

Suff Syed, a Product & Design leader at Microsoft Research, commented on the development, stating,

“Apple is behind and the market knows it. Apple Intelligence and Siri are a punch line. But the bigger issue is Apple renting intelligence from the very companies out-innovating it. If it doesn’t do anything radical, it’s going to end up like IBM/HP. Rich, but irrelevant.”

Technology journalist for Bloomberg Mark Gurman in a post on X, disclosed that Apple’s effort to explore outside large language models instead of its foundation models has taken a toll on its AI team. Tom Gunter, one of its top engineers, left last week. And the team behind MLX, Apple’s open-source AI framework has threatened to quit.

Despite these concerns, Apple has not fully abandoned its in-house efforts, and it is concurrently running a project called LLM Siri that would power next year’s Siri overhaul with in-house AI. Top executives reportedly see third-party models as a potential way to close the gap with rivals.

Apple’s shares climbed 2% on the news that the tech giant is considering integrating third-party AI models for Siri. The surge in shares signals investor optimism about the potential integration of third-party AI models from OpenAI or Anthropic into Siri, which could enhance its capabilities and competitiveness. It further reflects market confidence in Apple’s strategy to modernize Siri and strengthen its position in the AI race, despite challenges in its in-house AI development.

The revamped Siri, expected with iOS 26.4 in 2026, aims to deliver advanced capabilities, including improved context-awareness and the ability to handle complex, multi-step commands by leveraging on-screen content and user data. While Apple weighs its options, no final decision has been made on abandoning its proprietary AI models.

Goldman Sachs Ups Fed Rate Cut Forecast to Three in 2025, Citing Weak Labor Market and Tamer Inflation

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Goldman Sachs has sharply revised its forecast for U.S. Federal Reserve policy in 2025, now projecting three interest rate cuts—each of 25 basis points—to come in September, October, and December.

The Wall Street investment bank previously anticipated just one cut this year but says recent developments in the labor market and inflation trajectory warrant a more aggressive shift.

“We had previously thought that the peak summer tariff effects on monthly inflation and the recent large increases in some measures of household inflation expectations would make it overly awkward and controversial to cut sooner,” Goldman analysts wrote in a note published Monday.

“But early evidence suggests that the tariff effects look a bit smaller than we expected,” they added, noting that disinflationary forces have been stronger than expected across several sectors.

Tariff Impact Weaker Than Feared

The revision comes just months after the Trump administration’s move in April to implement “reciprocal tariffs” on major trading partners, a policy shift that initially prompted fears of rising inflation. Although the tariff hikes were later paused, economists had warned that pre-emptive consumer spending to beat the tariffs might spur volatility in price levels. However, May’s consumer spending data came in weaker than expected, and monthly inflation only increased moderately, suggesting that tariff-related shocks have not materialized to the extent previously feared.

This data, combined with a decline in household demand for durable goods and signs of slackening job market conditions, has emboldened forecasts for a more accommodative monetary stance. Goldman now sees the Federal Reserve’s terminal rate at 3.00%–3.25% by the end of 2026, significantly lower than its previous projection of 3.50%–3.75%.

Broad Street Consensus Builds Around September Start

Goldman is not alone in its revised outlook. Citigroup, Wells Fargo, and UBS Global Research all expect rate cuts totaling 75 to 100 basis points in 2025. Like Goldman, these institutions forecast the first cut to begin in September, marking a growing consensus across Wall Street that the Fed is likely to pivot in the fall. UBS, notably, projects a full percentage point (100bps) of rate cuts by year’s end.

However, the Federal Reserve has remained publicly cautious. Fed Chair Jerome Powell recently testified before Congress, reiterating the central bank’s stance that more data is needed before initiating any rate reductions. He emphasized that the Fed remains focused on returning inflation to its 2% target and noted that policy easing is not imminent.

Echoing this view, Atlanta Fed President Raphael Bostic said he still expects just one cut in 2025, citing “robust underlying strength” in employment and consumer activity.

Eyes on the June Jobs Report

The next key data point will arrive on Thursday, when the U.S. Labor Department releases the June jobs report. Analysts are watching closely for signs that labor market weakness is deepening. Slowing job creation or rising unemployment could tip the balance decisively toward earlier rate cuts.

Goldman believes the labor market is already showing enough signs of slack to justify action.

“We’ve seen softness in wage growth, declines in job openings, and reduced employer demand across multiple sectors,” the firm noted. “These are not recessionary signals, but they do warrant policy easing.”

Political Uncertainties

Beyond the economic indicators, political factors may also shape the Fed’s calculus. With President Donald Trump pledging further tariff expansions, markets remain on edge about potential inflationary fallout from a second wave of trade restrictions. At the same time, Trump has openly criticized Fed policy in recent months, and there are growing expectations that he could appoint a more dovish Fed Chair when Jerome Powell’s term ends in 2026.

That uncertainty is prompting traders to price in even more aggressive easing in 2026, with some bond markets now expecting up to five rate cuts over the next 18 months. If realized, that would represent the most substantial rate reduction cycle since the Fed slashed rates during the early stages of the COVID-19 pandemic in 2020.

The implications of a 75bps cut cycle are significant. For borrowers, lower rates would mean cheaper loans and mortgages. For investors, the pivot could breathe fresh life into equity markets, especially rate-sensitive sectors like technology and real estate. Corporate debt issuance is also expected to rise as companies move to refinance at more favorable rates.

But a pivot could also trigger broader concerns about economic resilience. Some economists argue that rate cuts at this stage could be premature and risk stoking new asset bubbles—particularly in real estate and crypto markets, which have rebounded strongly in recent months on expectations of lower borrowing costs.

However, Goldman Sachs’s revised outlook for three rate cuts in 2025 signals a growing belief on Wall Street that the U.S. economy is cooling fast enough to justify monetary easing—despite the Fed’s cautious rhetoric. While tariff-induced inflation risks appear to be subsiding, the full picture will become clearer with June’s labor market data.

Africa Launches PAPSSCARD to Deepen Payment Sovereignty and Supercharge Intra-Continental Trade

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Africa has made a landmark move toward financial independence with the launch of PAPSSCARD, the continent’s first unified Pan-African card payment system.

The card was unveiled during the 32nd Annual Meetings of the African Export-Import Bank (Afreximbank) held in Abuja, Nigeria, marking a bold step in Africa’s ongoing effort to reclaim control over its financial infrastructure and trade systems.

The PAPSSCARD is a product of a tripartite collaboration between Afreximbank, the Pan-African Payment and Settlement System (PAPSS), and Mercury Payment Services (MPS). It is designed to serve as a home-grown solution for retail payments across Africa, allowing secure, fast, and low-cost transactions without reliance on global payment networks such as Visa or Mastercard.

But the card is only the latest chapter in a larger financial infrastructure shift led by PAPSS.

PAPSS: A Step Toward Africa’s Financial Reclamation

Launched in January 2022 by Afreximbank in partnership with the African Union (AU) and the African Continental Free Trade Area (AfCFTA) Secretariat, PAPSS was created to modernize cross-border payments and eliminate the major hurdles stifling African trade.

PAPSS operates as a centralized payment and settlement platform that enables instant and secure transactions in local currencies across African borders. It is the first system of its kind on the continent that allows buyers in one African country to pay sellers in another without needing to convert funds into foreign currencies like the US dollar or euro.

Unlike traditional cross-border transactions, which involve a maze of correspondent banks, currency conversions, and intermediary charges, PAPSS facilitates direct local currency settlement. This not only simplifies and speeds up transactions, but also cuts foreign exchange costs, reduces dependency on external systems, and enhances monetary sovereignty.

By May 2025, the system had already onboarded over 150 banks across 16 African countries, including Nigeria, Ghana, Rwanda, and Egypt. Nigeria’s participation is considered both symbolic and strategic, given its status as Africa’s largest economy and its substantial role in regional trade flows.

A Card for Everyday Use—and a Shift in Power

The introduction of PAPSSCARD now extends that infrastructure directly to consumers, businesses, and public institutions. It is the first card that allows users to transact across African countries in their local currencies, processed entirely within Africa’s financial network.

Prof. Benedict Oramah, President and Chairman of Afreximbank, described the card as a pivotal tool in Africa’s push for economic autonomy.

“For too long, Africa’s reliance on external payment systems has impeded trade, increased costs, and compromised control over our financial data,” said President and Chairman of Afreximbank, Prof. Benedict Oramah.

“PAPSSCARD changes that. It empowers us to move money swiftly, securely, and affordably across our borders. It is a transformative step towards strengthening intra-African trade and preserving value within the continent,” he added.

According to Mike Ogbalu III, CEO of PAPSS, the card embodies a deeper mission beyond convenience.

“This is a symbol of progress and self-reliance. It’s a product built by Africans for Africans—designed to work with how we trade and live,” he said.

Muzaffer Khokhar, Executive Chairman of Mercury Payment Services, reinforced the card’s symbolic weight saying, “This is about creating trust in African systems. The PAPSSCARD will become Africa’s most trusted payments brand.”

Strategic Rollout: From Kigali to Lagos

The rollout involves a wide array of strategic partners. Bank of Kigali and I&M Bank Rwanda are among the early issuing institutions, while Smart Cash (Rswitch), Rwanda’s national switch, and Unified Payments in Nigeria are working to integrate the card into local systems.

According to John Bosco Sebabi, Acting CEO of PAPSSCARD, the card will drive financial innovation, reduce transaction costs for governments and businesses, and expand access to modern financial tools for the underserved.

The launch in Nigeria was accompanied by the release of commemorative cards, symbolizing both the historical and operational importance of the initiative.

Aligned With AfCFTA’s Vision

The PAPSSCARD and its supporting infrastructure dovetail with the goals of the AfCFTA, which aims to boost intra-African trade by removing barriers and harmonizing regulations across the continent. Financial integration has long been a weak link in Africa’s economic chain. PAPSS and the new PAPSSCARD aim to close that gap, offering seamless transaction support for goods and services exchanged under AfCFTA protocols.

This development also supports Afreximbank’s broader objective of building self-sustaining trade ecosystems within Africa, reducing the continent’s exposure to external shocks, and fortifying its economic resilience.

While early adoption looks promising, the long-term success of the PAPSSCARD will hinge on interoperability, consumer trust, and the scaling of acceptance infrastructure, particularly in underserved regions. Analysts also say integration with mobile money platforms and fintech ecosystems will be essential to maximize reach.

Many believe the PAPSS initiative is a milestone in Africa’s quest for its own payment system. For the first time, Africa is building a financial future anchored in its own institutions, data, and digital rails—not those controlled from outside the continent.

Hedera Uses Council Governance While Lightchain AI Uses Transparent Validation Through Contributor Nodes

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Hedera employs a council governance model, relying on a group of trusted organizations to steer network decisions and maintain security. In contrast, Lightchain AI embraces transparent validation through a decentralized network of contributor nodes, ensuring openness and community-driven consensus.

Having completed all 15 presale stages and entered its Bonus Round at a fixed price of $0.007, Lightchain AI has raised $21.2 million from strategic buyers who value transparency and inclusivity.

Powered by an AI-native Virtual Machine, developer incentives, and open governance, Lightchain AI fosters equitable participation and real-time validation. While Hedera centralizes governance, Lightchain AI empowers contributors to shape the future of decentralized AI with full visibility.

Hedera Employs Council-Based Governance for Network Oversight

Hedera Hashgraph employs a council-based governance model to ensure network oversight and strategic direction. The Hedera Council comprises up to 39 globally diverse organizations from various industries, including technology, finance, and academia.

Each council member operates a network node and holds equal voting rights on critical decisions such as software updates, treasury management, and regulatory compliance. Members serve staggered three-year terms, with a maximum of two consecutive terms, promoting both stability and fresh perspectives.

This structure balances decentralization with enterprise-grade reliability, fostering trust among users and regulators. Hedera’s phased approach aims to transition towards greater decentralization, inviting broader participation while maintaining robust governance.

Lightchain AI Implements Transparent Validation via Contributor Nodes

Lightchain AI enhances transparency and trust in decentralized AI by leveraging Contributor Nodes within its Proof of Intelligence (PoI) consensus mechanism. These nodes execute AI tasks—such as model training and inference—and generate cryptographic proofs, including Zero-Knowledge Proofs (ZKPs), to verify computations without exposing sensitive data .

The Artificial Intelligence Virtual Machine (AIVM) assigns tasks based on each node’s computational capacity, ensuring equitable participation . Contributor Nodes are rewarded with Lightchain Tokens (LCAI) for their validated work, promoting a merit-based system .

This framework fosters a transparent, decentralized AI ecosystem where all contributions are auditable and verifiable, aligning with Lightchain AI’s commitment to open and accountable AI development.

Harness Innovation with Lightchain AI’s Developer Grant Program

Are you ready to push the boundaries of blockchain and AI technology? The Lightchain AI Developer Grant Program offers $150,000 in funding to turn visionary ideas into reality. Whether you’re working on AI-driven dApps, decentralized exchanges, custom block explorers, or launchpads, we’re here to help you succeed.

With grants of up to $5,000 per team, along with technical support and added visibility within the ecosystem, you’ll have the tools to build advanced, scalable applications.

Take this opportunity to drive the future of decentralized intelligence. Apply now and let’s create extraordinary innovations together!

 

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Senate GOP Reach Deal to Curb State AI Regulations in Trump’s Tax Bill, Cutting The Moratorium to Five Years

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Senator Marsha Blackburn (R-Tenn.) and Senate Commerce Chair Ted Cruz (R-Texas) have struck a deal on a hot-button provision in President Donald Trump’s sweeping tax legislation that seeks to bar individual U.S. states from regulating artificial intelligence.

The agreement, which softens the original language of the bill, reflects the latest flashpoint in a growing national tug-of-war over who should control the future of AI governance: the federal government or the states.

Under the revised text, states would be temporarily prohibited from implementing new AI-specific regulations for five years if they wish to access a $500 million federal fund earmarked for AI infrastructure and deployment. That’s a reduction from the 10-year moratorium initially proposed in the original bill—a version Blackburn had publicly opposed.

The updated provision now exempts state laws that regulate unfair or deceptive practices, child sexual abuse material, children’s online safety, and publicity rights—a major concession to lawmakers like Blackburn who have championed legislation to protect children and consumers from the potential harms of advanced digital technologies.

The debate around state AI regulation came in the absence of comprehensive federal AI legislation, prompting states like California, Illinois, and New York to take the lead, introducing laws and proposals to govern how artificial intelligence can be used in hiring, surveillance, consumer data profiling, education, and law enforcement.

Illinois, for example, passed the Biometric Information Privacy Act (BIPA) in 2008, which has since become a national template for regulating the use of facial recognition and biometric data. California, through its California Consumer Privacy Act (CCPA) and subsequent laws, has introduced strict obligations around automated decision-making and algorithmic transparency. Other states have followed suit with proposals targeting AI use in schools, healthcare, and financial services.

These efforts have drawn increasing opposition from tech industry lobbyists and lawmakers aligned with national security and commerce interests, who argue that a patchwork of state laws creates regulatory chaos, stifling innovation and investment in AI technology. Supporters of federal preemption believe that only Congress can provide the uniformity needed to keep pace with the rapid development of AI.

But experts warn that preempting state authority risks leaving consumers unprotected. Many states see themselves as laboratories of democracy capable of moving faster than a gridlocked Congress to address evolving AI risks—especially in areas like discrimination, misinformation, or the safety of children online.

A longtime critic of Big Tech, Senator Blackburn has staked much of her political capital on pushing laws aimed at protecting minors and reining in social media giants. She is the co-sponsor of the Kids Online Safety Act (KOSA), a bill that would require platforms to take greater responsibility for shielding children from harmful content and intrusive algorithmic profiling.

Her decision to back a five-year AI regulation freeze, after opposing the original 10-year moratorium, hinges on the exemptions negotiated with Cruz.

“To ensure we do not decimate the progress states like Tennessee have made… I am pleased Chairman Cruz has agreed to update the AI provision to exempt state laws that protect kids, creators, and other vulnerable individuals,” Blackburn said in a statement Sunday.

She added that the agreement will help ensure Congress moves forward on other digital protections.

“I look forward to working with him in the coming months to hold Big Tech accountable—including by passing the Kids Online Safety Act and an online privacy framework that gives consumers more power over their data,” she said.

Blackburn’s support gives the bill fresh momentum as the Senate prepares for key votes this week. The compromise could also ease tensions within the Republican caucus, where several lawmakers—such as Sens. Josh Hawley (R-Mo.), Ron Johnson (R-Wis.), and Rep. Marjorie Taylor Greene (R-Ga.)—have criticized the federal AI provision, arguing that it infringes on states’ rights and undermines local control.

Trump’s Push for Centralized AI Policy

The AI provision is part of the broader “One Big Beautiful Bill,” President Trump’s centerpiece economic and tax reform package, which aims to consolidate and accelerate federal investments in critical technologies, energy infrastructure, and tax relief. The administration has made it clear that it views AI as a strategic priority, both economically and geopolitically, with Trump personally pushing to pass the bill before July 4.

Supporters believe that the federal moratorium is necessary to allow time for a national AI framework to take shape, avoiding a scenario where fragmented state policies hinder the deployment of technologies critical to defense, healthcare, and infrastructure. Trump has pitched the bill as part of his “America First” digital agenda, aimed at countering China’s AI dominance and securing U.S. leadership in the technology race.

Last week, the provision cleared a key hurdle when Senate Parliamentarian Elizabeth MacDonough ruled that it complies with the Byrd Rule, meaning it can remain in the budget reconciliation package. That decision allows Republicans to move forward without Democratic support, assuming the GOP can rally enough votes from its own ranks.

What’s Next?

Whether Blackburn and Cruz’s compromise will be enough to satisfy holdouts like Hawley and Johnson remains uncertain. However, many say even a five-year pause risks chilling important state-level protections, especially as AI systems continue to evolve without clear federal oversight.

The Senate is scheduled to begin voting on the package Monday morning. The clock is ticking, with Trump’s self-imposed July 4 deadline fast approaching.

If passed, the bill would mark the first major federal intervention in how AI is governed in the United States—a dramatic escalation in a battle that has so far played out largely at the state level. For supporters, it’s a long-overdue step toward national coordination. For critics, it’s a premature power grab that leaves the public vulnerable.

Either way, the deal between Blackburn and Cruz now places AI governance squarely at the heart of a broader legislative effort that could reshape the United States’ AI landscape.