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Apple and Anthropic Forge AI-Powered ‘Vibe-Coding’ Platform to Revolutionize Software Development

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Apple Inc. is partnering with Anthropic, an Amazon-backed artificial intelligence startup, to develop a cutting-edge “vibe-coding” software platform that leverages AI to write, edit, and test code for programmers, according to Bloomberg.

The initiative, which integrates Anthropic’s Claude Sonnet AI model into an enhanced version of Apple’s Xcode programming environment, marks a significant step in Apple’s push to grab a large share of the generative AI market. Initially slated for internal use among Apple’s engineers, the platform’s potential public release remains under consideration, underlining a cautious but ambitious move by the tech giant to redefine software development.

As competition intensifies among tech titans to harness AI’s transformative potential, this collaboration underscores Apple’s strategy of blending in-house innovation with external expertise to bolster its ecosystem and attract developers to its platforms.

A New Era of ‘Vibe-Coding’

The term “vibe-coding” refers to an emerging programming paradigm where AI agents autonomously generate code based on intuitive or contextual inputs, a concept gaining traction in the AI-driven coding community. According to Bloomberg, Apple’s new platform builds on its existing Xcode software, a cornerstone for developers creating apps for iOS, macOS, and other Apple platforms.

By embedding Anthropic’s Claude Sonnet model, renowned for its proficiency in coding tasks, the platform aims to streamline complex development processes, from writing initial code to debugging and testing user interfaces. The system promises to enhance efficiency, allowing programmers to focus on creative and strategic tasks while AI handles repetitive or intricate coding challenges.

The collaboration with Anthropic, a startup founded by former OpenAI researchers and backed by Amazon’s $4 billion investment, is seen to denote Apple’s growing reliance on external AI expertise. Claude Sonnet, part of Anthropic’s family of AI models, has earned praise among developers for its accuracy and contextual understanding, particularly in coding platforms like Cursor and Windsurf.

Apple’s decision to deploy the platform internally first suggests a testing phase to refine its capabilities. The company has not yet committed to a public launch, a move that aligns with its historically cautious approach to releasing new technologies. Spokespeople for Apple and Anthropic declined to comment on the Bloomberg report, leaving details about the platform’s timeline and scope speculative but highly anticipated within the tech community.

Building on a Troubled Predecessor

The vibe-coding platform appears to be a response to the challenges faced by Apple’s earlier AI-driven coding tool, Swift Assist, announced in 2024 but never released to developers. Swift Assist, intended to integrate AI into Xcode for code generation and app development, encountered internal resistance from Apple engineers who reported issues with accuracy, including “hallucinations”—AI-generated code that was incorrect or nonsensical.

Some engineers also expressed concerns that the tool slowed app development, undermining its promise of efficiency. The Bloomberg report suggests that the Anthropic partnership aims to address these shortcomings by leveraging Claude Sonnet’s advanced capabilities, potentially complementing or replacing Swift Assist in Apple’s AI toolchain.

While Apple has developed in-house AI models under its “Apple Intelligence” initiative, it has increasingly partnered with industry leaders like OpenAI, whose ChatGPT is integrated with Siri, and is expected to support Google’s Gemini model later this year. The Anthropic collaboration, as noted by iClarified, “reflects Apple’s increasing willingness to collaborate with external AI providers,” a strategic shift to bolster its offerings amid fierce competition from Microsoft, Google, and OpenAI.

The partnership comes at a time when coding assistants are reshaping software development. Bloomberg reported last month that OpenAI is in talks to acquire Windsurf, an AI-assisted coding tool, for approximately $3 billion, signaling the high stakes in this sector. Microsoft’s integration of OpenAI’s models into its Visual Studio Code and GitHub Copilot has set a benchmark, while startups like Anthropic are carving out niches with specialized AI models. Anthropic’s Claude models, known for their safety and interpretability, have gained a following among developers, making the startup a natural partner for Apple’s ambitions.

Apple’s move also aligns with its broader AI strategy. The company has been equipping its devices with more powerful chips, such as the M4 and A18, designed to handle on-device AI tasks, from natural language processing to image generation. Features like summoning ChatGPT via Siri and AI-driven photo editing in iOS 18 demonstrate Apple’s focus on seamless, user-facing AI integration. Apple aims to empower its 34 million registered developers by enhancing Xcode with vibe-coding capabilities, strengthening the App Store ecosystem that generated $1.1 trillion in billings and sales in 2024.

However, the accuracy of AI-generated code is critical, as hallucinations could introduce bugs or security vulnerabilities, a concern raised with Swift Assist. Apple’s internal testing phase will likely focus on ensuring reliability, especially for complex projects like augmented reality apps or machine learning frameworks. If rolled out to third-party developers, as hinted by Bloomberg’s Mark Gurman, the platform could set a new standard for AI-assisted coding, potentially integrating with Apple’s existing tools like TestFlight and Swift Playgrounds.

The partnership also elevates Anthropic’s profile. Already a key player in AI, with collaborations like Amazon’s Alexa+ enhancement, Anthropic could gain significant exposure if Apple’s platform reaches external developers.

Apple’s AI Ambitions in Context

Apple’s foray into vibe-coding is expected to boost its leadership in generative AI, a sector projected to grow to $1.3 trillion by 2032. The company’s $3.5 trillion market cap and ecosystem of 2.2 billion active devices provide a unique platform to deploy AI innovations.

Recent moves, like the integration of ChatGPT and the development of on-device AI models, aim to attract customers and developers alike. Some believe the vibe-coding platform, by enhancing Xcode, could draw more developers to Apple’s platforms, countering competition from Android and cross-platform frameworks like Flutter.

Financial markets have shown muted response, with Apple’s stock (205.35 as of Friday) stable despite the news, reflecting confidence in its long-term strategy. The partnership’s focus on software development, as opposed to consumer-facing products, limits immediate market impact but signals Apple’s commitment to its developer ecosystem, a key driver of its $104 billion services revenue in 2024.

Apple and artificial intelligence company Anthropic are teaming up on an AI platform to write, edit and test code, according to a Bloomberg report, citing anonymous sources. The platform will integrate Anthropic’s Claude Sonnet model into Apple’s programming platform Xcode, and is thus far intended for internal use, according to the report. Apple has endured scrutiny over delays to its consumer-facing AI products this past year, and has yet to release an AI-powered coding tool it previewed last summer.

Why RXS Crypto Price is Primed for a 5000% Bigger Rally Than Ripple’s XRP

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The crypto space has seen dramatic growth. From Bitcoin’s historic bull runs to Ethereum and Solana’s remarkable rise, numerous tokens have experienced stratospheric profits. However, Rexas Finance (RXS) generates buzz that may outpace Ripple’s XRP.  Rexas Finance is gaining popularity among crypto insiders due to its robust ecosystem for tokenizing real-world assets (RWAs), its aggressive and transparent growth plan, and cutting-edge technologies that lower the entry barrier for mainstream investors. Ripple focuses on cross-border payments for banks and financial institutions, whereas Rexas Finance integrates global assets, such as real estate, commodities, and artwork, into the blockchain. These huge consequences position Rexas Finance for a price rise that could outpace XRP’s growth. Why analysts and early investors expect Rexas Finance to soar 5000%.

Tokenization Revolutionizes Asset Ownership

The revolutionary way Rexas Finance tokenizes real-world assets has driven its stratospheric rise. This converts high-value, illiquid assets like commercial real estate, precious metals, and fine art into blockchain-based, fractional digital tokens, providing all investors access to high-yield investment markets previously reserved for institutions. Rexas Finance powers an asset tokenization ecosystem, unlike XRP, which serves a small niche. The cryptocurrency has utility and lifespan and can collect value from every platform transaction. Real-world asset (RWA) tokenization is expected to grow from $50 billion in 2025 to $16 trillion in 2030, making Rexas Finance a leading player.

Accessible and User-Friendly: Rexas Advantage

Rexas Finance’s network of essential products, including the Token Builder and QuickMint Bot, simplifies tokenization. Anyone may develop, manage, and trade tokenized assets without technical skills. This ease of use boosts adoption, especially compared to sophisticated systems that require coding or innovative contract development. Additionally, AI-driven technologies, such as the Rexas AI Shield, safeguard all transactions, enhancing investor confidence. The AI Shield detects dangers, automates compliance, and streamlines user onboarding while protecting privacy and transparency. Nonetheless, Ripple continues to depend on corporate partnerships and legal frameworks for their infrastructure’s cross-border payment system. This has led to limited growth and increased susceptibility to regulations in the US, as the SEC’s case has been intensively scrutinizing Ripple’s framework, severely dampening XRP’s price and popularity.

Impressive Presale Results Show Investor Confidence

Rexas Finance has gained momentum since its September presale. As of Stage 12, the project has raised $47.9 million by selling 459.5 million tokens, with the Rexas Finance token price climbing 6x in months from $0.03 to $0.20. This indicates a rising demand for tokens and increased investor interest. Rexas Finance opted for a public presale mechanism over venture capital funding to expand distribution and prevent large-scale token dumps. This approach has community trust and fosters pricing stability. XRP’s extended circulation and centralized token control can lead to volatility induced by large investors, commonly called whales. Ripple’s legal fights and regulatory uncertainty have delayed rallies, lowering retail and institutional investor confidence.

Strategic Listings and Credibility Goals

The early listings on CoinMarketCap and CoinGecko helped Rexas Finance gain credibility, allowing worldwide investors to track its progress. The platform also passed a Certik audit, the highest standard in blockchain security. This reinforces Rexas Finance’s safety and transparency, which serious investors value. Although mature, Ripple still faces global regulatory challenges and has yet to fully leverage its partnerships. Its slow integration and restricted consumer-facing use cases put it behind Rexas Finance’s quick, multi-utility platform.

Scarcity, Community Engagement, and Exchange Listings

Rexas Finance’s pricing potential depends on its deflationary model and scarcity. The token’s value should naturally rise as supply decreases and demand increases. To involve the community, Rexas Finance held a $1 million raffle, providing 20 winners with $50,000 in RXS. Early adopters are rewarded, and community participation generates viral buzz and organic promotion. After the presale, Rexas Finance will launch at $0.25 on at least three of the top 10 global crypto exchanges. This liquidity and exposure are projected to attract many new investors, accelerating Rexas Finance’s price acceleration once it joins the market.

Potential 5000% Rally: Numbers Don’t Lie

With a presale price of $0.20 and planned listings of $0.25, extensive exchange listings, and rising demand in tokenized RWAs, Rexas Finance could reach $10 or more. Given the project’s underlying strength, vast total addressable market, and proven investor enthusiasm, a 5,000% gain is a realistic possibility. XRP, which traded between $0.50 and $0.70 for most of 2024, would need to reach $25–$35 to achieve a similar return, which is improbable given its market cap, regulatory issues, and limited adoption outside its initial use case.

Conclusion: Rexas Finance Is Crypto’s Next Big Thing

Ripple’s XRP is a leader in blockchain payments, but growth limitations may limit its future rallies. However, Rexas Finance is changing blockchain asset ownership, trading, and monetization. Inclusivity, decentralization, real-world utility, and security have laid the groundwork for rapid expansion. Thanks to RWA tokenization, a committed community, innovative DeFi tools, and strategic listings, Rexas Finance is poised for a 5,000% surge, exceeding Ripple’s XRP and potentially leading the next generation of crypto investments.

For more information about Rexas Finance (RXS) visit the links below:

Website: https://rexas.com

Win $1 Million Giveaway: https://bit.ly/Rexas1M

Whitepaper: https://rexas.com/rexas-whitepaper.pdf

Twitter/X: https://x.com/rexasfinance

Telegram: https://t.me/rexasfinance

How Nigeria Lost The Rural Economy

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In OA Lawal’s O’Level Economics textbook, he wrote about localization of industries, explaining  factors that could facilitate the growth of firms. Extrapolate his thesis, and you could model how rural Nigeria was developing until 1998.  My village of Ovim was bubbling with development. But it was not just Ovim. Yes, every village within the railway track from Maiduguri/Kano via Enugu to Port Harcourt was developing faster than other villages with no track passing through them.

With the railway track, human mobility was easier; people could travel easily from Makurdi to Ovim. And traders could do trading because the supply chain system was there; the trains powered businesses. Oriendu Market Ovim was growing because people would come to buy garri, yam, etc and enter trains to deliver to the big cities. And with the best road network in the area, the market assumed the #1 position, serving Eziukwu, Acha, Nkpa, Ozara, and other neigbouring villages. 

Men and women saw investment opportunities around the railway station, and buildings like Isaac Obineche House came along. Even the schools benefitted as my alma mater, Secondary Technical School, and Ovim Girls Model Secondary School, had many non-Ovim students. Check all: the railway was directly or indirectly facilitating those indicators. 

Then the train system faded and the oxygen went out from all those villages along the train track. When the railway system collapsed, the villages became farther away from the cities. But hold on; there was still the post office which enabled us to have correspondence with Americans, British, etc via pen pal. Then that one went down, and everything closed! Nigeria has lost the rural economy!

So when I read that Amazon wants to invest $4 billion in rural America, my mind flashed back to how it used to be in Nigeria when the postal service was still serving everyone in everywhere: “Amazon intends to spend over $4 billion on expanding its delivery network across rural America by 2026. The e-commerce giant says the investment will create over 100,000 jobs and add more than 200 new delivery stations to its sprawling network. The company has been focused on building its presence in rural regions with optimized warehouses and contracted drivers.”

When a nation’s past seems more memorable than the present, you will agree that there is a problem. What happened to Nigeria’s railways (NRC)? What destroyed the amazing NIPOST? Did they know that by destroying those things, the Oriendu Market would struggle? Did they know that you do not have to actually have a profitable post office or railway system to keep them going?

In the US for example, Amtrak has not made a single profit since about 1971 it was founded. And in the last 20 years, the US Postal service has not recorded a profit. Simply, Nigeria could have kept the NRC and NIPOST running using the One Oasis Strategy as both enabled the development of the economy in many ways, and when those economic activities are taxed, whatever we lost in NRC and NIPOST, we would recover.

If elections in Nigeria are FREE and Fair, I will pick a ticket for the Presidency, and run with a slogan “A Greater Nation”.  I will build my campaign on four pillars: Security, People, Economy & Electricity, and Diasporas. This is the SPEED Agenda. And if we understand that commerce is nothing but supply chain, you can agree that we must transform NRC and NIPOST. 

We developed fastest under regional governments. Now, with NDIC, NEDC, SEDC, etc, evolving, these commissions must partner with private capital for Southeast Post, Northeast Post, Northcentral Railways, etc, even as we enshrine fiscal federalism in the Constitution. The goal? Provide PLATFORMS upon which companies of the future could be planted by innovators in Nigeria.

Ndubuisi Ekekwe’s “A Greater Nation” Presidential Campaign

344% Solana (SOL) Price Rally On the Horizon Based on Bull Flag Pattern, Here’s the Target For Lightchain AI

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Solana (SOL) is once again making headlines as analysts point to a potential 344% price rally, fueled by the emergence of a classic bull flag pattern on its chart. While traders anticipate a breakout, attention is also turning to newer projects with high upside potential—especially those still in their presale stages. One standout is Lightchain AI, currently in Stage 15 of its presale at a price of $0.007, having already raised $18.3 million.

As Solana eyes a major breakout, Lightchain AI is quietly building momentum with a fundamentally different value proposition. The growing interest in both coins reflects a broader shift in the market: investors are looking not just at charts, but at platforms with strong ecosystems. In this article, we’ll analyze Solana’s bullish setup and explore Lightchain AI’s next price target.

How Solana is Positioned for a Bullish Breakout

The current formation in the chart of Solana is quite favorably viewed by experienced traders who have identified the bull flag pattern that indicates a potentially explosive move. This pattern which gets formed when the price moves up a lot and then moves sideways often comes before another sharp rise. Solana, which has stayed steady on the support levels as well as higher lows, shows significant market interest as well as the accumulation of strong leads.

Moreover, the DeFi, NFTs, and high-speed dApps increasing in usage also seem to be positive to the sentiment. The network’s efficiency that is able to handle thousands of transactions per second also is a factor that adds to its long-term value. With the enhancement of network stability and downtime decrease compared to previous years, Solana is technically and fundamentally ready for a breakout. The bullish flag setup that a lot of analysts are watching so closely would only be validated if there is a significant move upward; however, if momentum keeps up, we may see it happen very soon.

Can Lightchain AI Challenge Solana’s Market Position?

While Solana currently dominates as a high-performance blockchain, Lightchain AI introduces a different kind of competitive edge—its focus on AI-native functionality. Instead of competing purely on speed or transaction volume, Lightchain AI targets a niche yet rapidly growing demand: decentralized AI execution. Its architecture supports advanced AI workloads while preserving privacy and transparency, something not found in most Layer-1 networks.

The ability to integrate AI tasks directly into a blockchain framework gives Lightchain AI the potential to serve entirely new market segments. As its ecosystem grows and developers deploy real-world intelligent applications, Lightchain AI could challenge Solana not by imitation, but through specialization. With its emphasis on ethical, decentralized AI and community-driven governance, Lightchain AI positions itself as a next-gen platform aimed at redefining what blockchain utility looks like in the AI era.

Lightchain AI’s Price Target, How High Can It Go?

Predicting Lightchain AI’s price trajectory involves more than technical charts—it hinges on adoption, utility, and ecosystem development. As the platform moves toward its mainnet launch, milestones like testnet performance, developer participation, and governance activity will shape its valuation. With a capped supply of 10 billion tokens and specific allocations for staking, liquidity, and ecosystem rewards, early demand could create strong upward pressure. If Lightchain AI secures even modest adoption in the decentralized AI space, it could attract significant capital as investors seek exposure to purpose-built platforms.

Its real differentiator lies in enabling on-chain AI tasks, a segment with limited competition. While short-term price targets are speculative, the project’s foundation positions it for potential multi-fold growth post-listing—especially if it becomes a go-to platform for developers seeking to merge AI with decentralized applications. But, Lightchain AI price will be at $1 if it becomes a platform for AI developers.

https://lightchain.ai

https://lightchain.ai/lightchain-whitepaper.pdf

https://x.com/LightchainAI

https://t.me/LightchainProtocol

Instagram Cofounder Kevin Systrom Warns AI Companies Are Falling Into the “Engagement Trap”

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Instagram co-founder Kevin Systrom has criticized artificial intelligence companies for relying on tactics that prioritize engagement over utility, warning that the industry is mimicking the same growth-at-all-costs strategy that has plagued social media for years.

Speaking at the StartupGrind conference this week, Systrom said he’s noticed a worrying trend where AI platforms, instead of offering direct and insightful answers, keep pestering users with follow-up questions to prolong interactions and artificially boost usage metrics.

“Every time I ask a question, at the end it asks another little question to see if it can get yet another question out of me,” he said.

“You can see some of these companies going down the rabbit hole that all the consumer companies have gone down in trying to juice engagement.”

He likened the approach to a “force that’s hurting us,” suggesting the AI space is veering off course by treating user engagement as a product success metric, rather than focusing on actual usefulness and information quality.

Though Systrom stopped short of naming any particular companies, his comments echo growing concerns within the AI community and from users themselves, especially about platforms like ChatGPT, which some have accused of being too conversational or deferential rather than providing straightforward answers. OpenAI, the developer behind ChatGPT, recently apologized for overly polite behavior from its assistant and attributed the problem to “short-term feedback” mechanisms used to fine-tune responses.

Many believe these mechanisms, designed to reward AI for being helpful, may have inadvertently pushed the model to favor soft, overly agreeable replies – and in some cases, unnecessary follow-ups, rather than getting to the point. In effect, the assistant feels more like a sales rep trying to keep the customer in the store than a tool trying to solve a problem quickly.

Systrom’s core argument is that the pressure to show off user engagement metrics, like time spent, session length, or daily active users, is tempting AI developers to engineer chatty behavior as a feature rather than a flaw.

“The thing I worry about the most,” he said, “is whether people will be laser-focused on making great answers and great utility, or whether they’ll be focused on moving the metrics in the easiest way possible.”

In response to Systrom’s remarks, OpenAI pointed to its official user experience guidelines, which state that the assistant may ask for clarification or additional detail if it doesn’t have enough information to give a strong answer. However, the guidelines also caution that the assistant should “take a stab” at fulfilling the user’s request, even if it lacks full context — and clearly say it should avoid prompting users unnecessarily unless more information is genuinely required.

Systrom’s warning adds a prominent voice to an ongoing debate over how conversational AI should be designed — and for what purpose. As AI becomes embedded in everything from search engines to productivity tools, some experts believe that models should optimize for precision, brevity, and task completion, rather than entertainment or companionship.

The criticism also lands at a time when AI companies are racing to monetize their products and court users in a competitive industry. Some have added voice capabilities, personalities, and even emotional tone adjustments in a bid to keep users coming back. But Systrom, who co-founded Instagram in 2010 and witnessed firsthand how algorithmic engagement warped social media, warned that these tactics come with a long-term cost.

Systrom’s comments reflect a broader concern in Silicon Valley that AI development could be drifting toward superficial metrics, rather than holding firm to the promise of building truly helpful, insightful, and trustworthy tools.