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Meta’s Alexandr Wang Claims Major Stride in AI Race With New Model Closing Gap with OpenAI’s GPT-5.5

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Meta Platforms is making significant progress in the artificial intelligence model race, its superintelligence chief, Alexandr Wang, told employees on Friday, marking what could be an important milestone in the company’s aggressive push to catch up with industry leaders.

In an internal town hall, Wang said that Meta’s upcoming AI model, codenamed Watermelon, has caught up with OpenAI’s flagship GPT-5.5 model, according to two sources cited by Reuters.

Wang cited the achievement based on closely followed AI model benchmarks, though it was not clear which specific benchmarks were referenced.

“Watermelon, our next model after Avocado, is currently in training,” Wang said in the town hall, according to a person familiar with the matter. “Watermelon uses an order of magnitude more compute than Avocado,” he added, referring to Meta’s internal codename for Muse Spark, the first in a family of models that the company released in April.

Wang alluded to that progress publicly as well. In a post on X on Thursday, he said an update to the current model, Muse Spark, is coming soon, with major gains in coding and agentic capabilities aimed at closing the gap with rival models. Asked by a user when Meta would have a coding model on par with Anthropic’s Claude Opus, Wang replied that it would be “pretty soon,” adding that users would like what the company has “cooking.”

Meta’s AI ambitions have long hinged on a simple goal: closing the gap with OpenAI, Google, and Anthropic. Despite massive investments in chips, data centers, and talent, the company has struggled to convince developers and customers that its models belong at the industry’s leading edge.

If Wang’s assessment is accurate, it would mark the clearest sign yet that Meta’s investment and CEO Mark Zuckerberg’s aggressive talent blitz are beginning to pay off, even as the race continues to move at a rapid pace. GPT-5.5 is a powerful AI model that OpenAI released in April of this year. OpenAI then debuted its most powerful model yet, GPT-5.6, late last month, but hasn’t released it generally yet, based on the U.S. government’s requests.

In April, Meta released the first in a series of models called Muse Spark, which performed well on benchmarks but did not match or exceed OpenAI or other labs such as Anthropic. Zuckerberg is ferociously pushing for Meta to get ahead in the AI race. He appointed Wang last year to head this effort, renaming the company’s AI division Meta Superintelligence Labs.

At Meta, Wang oversees a team of elite AI researchers known as TBD, along with other AI efforts, such as a recent hardware push. Meta has offered top AI talent hundreds of millions of dollars each to join, Business Insider previously reported.

That talent push comes as Meta ramps up spending on infrastructure. The company told investors this year that it expects to spend between $125 billion and $145 billion on chips, data centers, and other infrastructure, up from an earlier forecast of $115 billion to $135 billion, citing rising component costs and additional data center spending.

Meta plans to pour resources into attracting top talent and scaling compute power to close the capability gap with frontrunners. The internal codenames, Avocado for Muse Spark and Watermelon for the next iteration, suggest a methodical progression, with each generation leveraging significantly more computational resources.

Wang indicates that Meta is focusing heavily on practical improvements in areas like coding and agentic capabilities, where real-world utility can drive adoption. The emphasis on agentic AI, systems that can perform complex, multi-step tasks autonomously, aligns with broader industry trends as companies move beyond simple chat interfaces toward more sophisticated applications.

The company’s willingness to spend aggressively on both talent and infrastructure is interpreted as Zuckerberg’s commitment to not falling behind in what many see as the defining technology of the era. By renaming the division Meta Superintelligence Labs, the company has signaled its ambition to push the boundaries of what AI can achieve.

However, competition in the industry remains intense. OpenAI continues to set the pace with its GPT series, while Anthropic’s Claude models have gained strong traction in enterprise settings. Google’s Gemini family also represents formidable competition, particularly given its integration with Android and other Google services.

For Meta, success in AI is not just about matching benchmarks. Analysts have noted that the company needs to translate technical progress into products and experiences that drive user engagement across its family of apps, from Facebook and Instagram to WhatsApp. Improved coding capabilities are expected to enhance developer tools, while stronger agentic features could power more sophisticated virtual assistants and automation tools.

GoDaddy Challenges Indian Court Orders on Domain Privacy, Warning Measures to Curb Fake Websites Could Undermine Global Internet Safety

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India’s aggressive efforts to combat the proliferation of fake websites impersonating major brands are raising alarms among global domain registrars, who warn that new court-mandated measures could undermine internet privacy and create unintended consequences for legitimate businesses worldwide.

Per Reuters, the world’s biggest internet domain seller, GoDaddy, has mounted a strong legal challenge against directives issued by a New Delhi court that it says rewrite the rules of internet governance, potentially exposing users to greater risks while attempting to address a serious problem of online deception.

Soaring smartphone and internet use has coincided with a worsening problem of online fraud in India, the world’s most populous nation. It is a key challenge for Prime Minister Narendra Modi’s government, which last year received 2.4 million complaints of alleged cyber fraud amounting to $2.4 billion.

Starting in 2019, lawsuits were brought by dozens of Indian and global firms — Amazon against fake shopping sites trading on its name and McDonald’s complaining against bogus sites offering franchises. In December, an Indian court blocked more than 1,100 such websites.

The New Delhi judge, however, went further, ordering sweeping new measures that tech experts say have rewritten rules of internet governance: domain sellers should not offer buyers free privacy protection by default, the buyer’s details should be released to anyone with a “legitimate interest” within 72 hours, and website addresses that are variations of protected brand names must be prohibited.

U.S.-based GoDaddy has challenged the directives before a larger bench of judges at the Delhi High Court. It argues the ruling will affect legitimate businesses that have names similar to big brands.

Stopping privacy-by-default features, GoDaddy said, will result in public disclosure of the names, addresses, phone numbers, and emails of legitimate website owners, exposing them to “foreseeable privacy and security risks” such as stalking and harassment.

As domain names operate globally, not locally, the order could force GoDaddy to regulate website addresses across the world, it said.

On the court’s order imposing a 72-hour deadline on companies to provide registration details to anyone with “legitimate interest,” GoDaddy argues it has no wherewithal to assess who has a legitimate interest or not.

The “commercially destabilizing” directives may force domain name companies to “exit India,” said one of GoDaddy’s appeal documents that ran into 5,121 pages.

“Engines for large scale deception,” the December ruling noted about the fake websites.

One of the 14 measures outlined by the court said masking a domain buyer’s registration details should now be offered as a payable service, as the feature acts “as a cloak” to hide the identity of rogue operators.

Despite the court order, which remains in force, GoDaddy’s website still promotes its offering as one that includes “free privacy protection forever… we redact your name, address, phone number and email” from the public directory.

GoDaddy argues that diluting the privacy feature will run contrary to India’s data protection law and the European Union’s GDPR law, which mandates a “privacy by default” approach.

Farzaneh Badii, a New York-based researcher on internet governance, criticized the New Delhi ruling, noting that Europe redacted such details because publishing them had been abused by harassment and targeted phishing.

“The people exposed will be journalists, activists, small business owners, and private individuals. The brand impersonators will not,” she said.

In cases like the one brought by McDonald’s, the company sought action against 110 websites like mcdonaldsfranchiseindia.com, with some using its Golden Arches logo and selling fake franchises for “huge sums of money.”

After blocking those, GoDaddy says the court’s additional bar on offering alphanumeric variations of a trademark once it is protected, like McDonald’s, will act like “blanket injunctions,” which are difficult to implement.

The word “McDonald” is of Scottish origin and derived from a name meaning “son of the world ruler,” GoDaddy said, adding that an injunction against using it will effectively “confer a monopoly” over a common name with linguistic and historical meaning.

Reuters found domains like mcdonalds-india-franchise.com were still available on GoDaddy India for around $10. The U.S. giant also submitted research compiled from Merriam-Webster’s website to argue that safeguarding variations of a protected trademark like “HUL”, Unilever’s Indian unit, could overlap with 118 English words that contain the string, like “hulk” and “moghul.”

It is “virtually impossible to register a domain name containing an English word that does not overlap with a registered trademark,” GoDaddy says.

Government and Industry Perspectives

Modi’s Home Minister, Amit Shah, said this year that one person falls prey to cybercrime every 37 seconds in India, and a lack of action risks turning the menace into a “national crisis.”

While the sweeping December directives were issued by a court, they followed government submissions, documents showed.

An unreported 59-page IT ministry document from 2023, contained in GoDaddy’s latest appeal papers, revealed New Delhi conveyed to the judge it was concerned about the “issue of domain name abuse” and “lack of stringent verification.”

The home ministry, tasked with handling cybercrime, told the judge registration details “should be readily (made) available” for investigations.

That stand is in line with Modi’s bitter disagreements and spats with global technology giants in recent years. New Delhi has repeatedly criticized companies like Meta, X, Google, and Telegram, and even taken some of them to court, for not doing enough to police content it sees as against national interests.

The judges will hear the appeals on July 16.

Global Ramifications of Local Rules

With an annual revenue of $5 billion, GoDaddy manages 80 million domains and serves over 20 million users. In 2024, company executives said India was its biggest region in the emerging market space.

GoDaddy rivals, Arizona-based Namecheap and Netherlands-based Hosting Concepts, have also challenged the New Delhi ruling, court records show.

The legal dispute embroiling GoDaddy and others was triggered by more than 20 companies that sought the court’s intervention against fake websites damaging their brand. These included Amazon, McDonald’s, Microsoft, Xiaomi, and Colgate-Palmolive.

Deborah O’Neill, a senator from the ruling Labor Party who made the whistleblower allegations against KPMG public in March, said the “unethical” culture exposed by successive scandals needed to be disrupted. She warned the firms would “fight tooth and nail” to keep their existing structures, “because it is in their financial interest to do so”.

Barbara Pocock, a Greens senator who has campaigned for tougher regulation of the sector, said the government already knew what the solutions were from its previous inquiries, and called for urgent action.

“Labor needs to put an end to the Big Four’s special treatment and regulate them like other Australian businesses,” she said in a statement.

Nvidia Pushes Deeper Into AI Economy With Revenue-Sharing Model for Startups

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Nvidia is broadening its role in the artificial intelligence industry beyond designing the chips powering the AI revolution, unveiling a new revenue-sharing initiative that will allow fast-growing startups to exchange future earnings for access to high-performance computing infrastructure.

The strategy stemmed from the company’s ambition to become not just the dominant supplier of AI hardware but also a long-term financial partner to the next generation of AI companies.

The initiative, announced on Thursday, comes as access to computing power has become one of the biggest constraints on AI development globally. Training and deploying advanced AI models requires enormous numbers of graphics processing units (GPUs), most of which are supplied by Nvidia. That scarcity has created an environment where compute capacity has become as valuable as capital, prompting startups to seek alternative financing arrangements that reduce upfront infrastructure costs.

Under the new partnership program, Nvidia will provide eligible AI startups with token credits that grant access to computing infrastructure powered by its chips. Instead of paying entirely in cash, participating companies will share a portion of future product revenue and cloud-services income with Nvidia, creating a financing model that aligns the chipmaker’s returns with the commercial success of its customers.

The arrangement effectively transforms Nvidia from a hardware supplier into an infrastructure financier, enabling promising AI companies to scale faster while giving Nvidia exposure to the future revenues of businesses built on its technology.

The company said the program is designed for cloud-native AI companies, foundation model developers and enterprise AI firms. Nvidia will act as an intermediary, helping startups secure full-stack computing infrastructure that combines its industry-leading GPUs with networking, software and cloud resources.

Building An AI Ecosystem, Not Just Selling Chips

The latest initiative underpins how Nvidia is steadily expanding its influence across every layer of the AI value chain. For years, the company generated most of its revenue by selling GPUs to hyperscale cloud providers such as Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Cloud. Those companies, in turn, rented computing capacity to AI developers.

The new model allows Nvidia to participate more directly in the growth of AI startups themselves, giving it exposure to recurring revenue rather than relying solely on hardware sales.

Industry analysts have described Nvidia as evolving into an AI infrastructure platform rather than simply a semiconductor manufacturer. The company now offers chips, networking equipment, software frameworks such as CUDA, AI development platforms, cloud partnerships and, increasingly, financial structures that help customers gain access to computing resources.

The strategy also strengthens customer loyalty by tying startups more closely to Nvidia’s technology stack from the earliest stages of development.

Nvidia named two Australian companies as the initial infrastructure partners supporting the program. Sharon AI plans to deploy up to 40,000 Nvidia GPUs, providing large-scale computing resources for participating startups.

Meanwhile, AI infrastructure company Firmus Technologies is building a major data center in Batam, Indonesia. Once completed, the facility is expected to scale to 360 megawatts of power capacity and accommodate as many as 170,000 Nvidia GPUs, making it one of Southeast Asia’s largest AI computing hubs.

The expansion highlights Nvidia’s efforts to diversify AI infrastructure geographically as demand for computing power accelerates across Asia-Pacific.

AI industry executives now see GPUs as the “new oil” because computing power has become the critical resource determining which companies can build competitive AI systems.

Demand has grown so rapidly that access to GPUs has become a strategic advantage, with some industry participants reportedly treating compute capacity almost like financial assets through arrangements resembling futures contracts that lock in future access and pricing. Unlike previous technology cycles where capital was often the primary bottleneck, today’s AI startups frequently cite access to computing resources as their biggest challenge.

By allowing startups to exchange future revenue for immediate compute access, Nvidia is addressing one of the sector’s most significant constraints while expanding its own long-term growth opportunities.

Alternative Financing Gains Traction Across AI

Revenue-sharing agreements have become increasingly common as AI companies grapple with enormous infrastructure costs. Training frontier AI models can require investments running into hundreds of millions or even billions of dollars, making traditional financing insufficient for many startups. Instead, developers are increasingly turning to strategic partnerships involving revenue sharing, equity investments, and infrastructure financing.

OpenAI has entered into several strategic agreements involving investments and partnerships with companies including Amazon and AMD as it expands its AI infrastructure. Across the industry, companies are seeking ways to secure long-term computing capacity without placing excessive strain on their balance sheets.

For Nvidia, the model also creates an opportunity to benefit financially from the rapid expansion of AI applications long after its chips have been delivered. Earlier this month, the company disclosed plans to raise debt that sources said could total at least $20 billion. Nvidia said the proceeds would be used for general corporate purposes, including refinancing existing debt, while giving it additional financial flexibility as demand for AI infrastructure continues to surge.

The financing underlines Nvidia’s confidence that AI investment remains in its early stages, with hyperscale cloud providers, governments and enterprises expected to spend hundreds of billions of dollars over the coming years on data centers and advanced computing infrastructure. That spending wave has already transformed Nvidia into one of the world’s most valuable companies and the undisputed leader in AI semiconductors.

The revenue-sharing initiative indicates the company now wants to capture value beyond chip sales by participating directly in the commercial success of AI startups.

Catalyst Fund Reaches $30 Million Second Close to Scale Investment in Africa’s Climate Tech Startups

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Catalyst Fund, an early-stage VC fund, has announced the successful completion of a $30 million second close, bringing on a new group of investors to further its mission of supporting Africa’s climate technology entrepreneurs.

The latest funding round welcomes new investors, including the International Finance Corporation (IFC), FASA Fund by Investisseurs & Partenaires, Shell Foundation, Trafigura Foundation, Speedinvest, Blink Impact, Women Entrepreneurs Finance Initiative, and a group of high-net-worth individuals.

These investors join existing backers, including FSD Africa and the Cisco Foundation, which participated in the fund’s first close.

Catalyst Fund said the additional capital will enable it to continue supporting 40 climate technology startups across Africa, investing in companies from pre-seed to Series A.

The fund aims to back founders developing innovative solutions to strengthen climate resilience across the continent.

Commenting on the recent funds raised, Maelis Carraro, Founder & General Partner, Catalyst Fund said,

Climate adaptation is one of the defining investment themes of the next decade, especially in Africa, where the need is immediate, and the entrepreneurial talent is extraordinary. This second close allows us to double down on our mission: backing ambitious founders building practical, scalable solutions for a climate-changed world, and supporting them not just with capital, but with the hands-on venture-building support they need to grow.”

This investment comes at a critical time as African economies face increasing challenges across food systems, supply chains, energy access, and infrastructure.

Despite being home to nearly 20% of the world’s population, Africa accounts for only about 3% of global manufacturing output, leaving many countries heavily dependent on imports for essential goods and vulnerable to global supply chain disruptions.

The continent also spends more than $50 billion annually on food imports, even though it possesses roughly 60% of the world’s uncultivated arable land, highlighting the gap between agricultural potential and productivity.

Energy insecurity remains another major obstacle. Around 600 million people in sub-Saharan Africa still lack access to electricity, representing nearly 80% of the global population without power.

Frequent electricity shortages and unreliable grids increase operating costs for businesses, reduce industrial productivity, and discourage investment

By expanding its funding capacity, Catalyst Fund seeks to accelerate the growth of startups developing technologies that address pressing climate and development challenges, while fostering a more sustainable future for the continent.

The early-stage VC fund began its journey in 2015 as a global accelerator managed by BFA Global, targeting early-stage inclusive fintech startups dedicated to improving the financial health of underserved communities across Africa, Asia, and Latin America.

Aligned with its mission to empower entrepreneurs addressing the most significant challenges in this present time, the company launched its first equity fund in 2022 to support founders tackling the urgent global issue of climate change.

Built on nearly a decade of supporting African entrepreneurs, the Catalyst fund has already made 28 investments across 10 markets. Some of its portfolio company includes Agrails, Assuraf, Bekia, Biobuu, Earthbond, and Enakl amongst others.

The Fund’s thesis focuses on supporting mission-driven local women and founders building solutions across several sectors critical for climate resilience; agritech and food systems, insurtech and climate fintech, cold chain, waste management, clean energy, and water management.

It invest $200K in pre-seed startups and follow on at Seed and Series A, as well as connecting startups to its network of 250+ investors and ecosystem partners.

The firm is betting that climate resilience in Africa is not just an impact story, but one of the most important venture opportunities emerging on the continent. As climate shocks intensify, demand is rising for affordable, scalable solutions that help communities and economies adapt.

Catalyst Fund believes the next generation of category-defining African startups will be built in that gap and that backing them early can deliver outsized impact and strong returns for investors.

Spot Bitcoin ETFs End 10-Day Outflow Streak as Bitcoin Surpasses $62,000

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The cryptocurrency market regained momentum after U.S. spot Bitcoin exchange-traded funds (ETFs) recorded a combined $222 million in daily net inflows, bringing an end to a 10-day streak of capital outflows. The renewed investor interest coincided with Bitcoin climbing above the $62,000 mark, signaling a notable improvement in market sentiment.

These developments suggest that institutional confidence may be returning after a period of uncertainty that had weighed on digital asset prices. The 10-day outflow streak had raised concerns among investors, as persistent withdrawals from spot Bitcoin ETFs often indicate weakening demand from institutional and retail participants.

Such outflows can reflect caution driven by macroeconomic uncertainty, shifting expectations for interest rates, or short-term profit-taking following previous price rallies. However, the latest inflow of $222 million represents a significant reversal, implying that investors are once again willing to allocate capital to Bitcoin through regulated investment products.

Spot Bitcoin ETFs have become an important gateway for institutional and traditional investors seeking exposure to Bitcoin without directly holding the cryptocurrency. Since their introduction, these funds have increased accessibility to digital assets by allowing investors to buy Bitcoin exposure through familiar brokerage accounts.

As a result, ETF inflows and outflows are closely monitored because they often provide insight into broader market trends and investor confidence.

Bitcoin’s move above $62,000 reinforces the positive sentiment created by the ETF inflows. Price appreciation and fund inflows frequently reinforce each other, creating a cycle in which rising prices attract additional investment while fresh capital further supports market gains.

Breaking above a key psychological level such as $62,000 may also encourage technical traders and momentum investors to increase their exposure, potentially strengthening buying pressure in the short term. Several factors could be contributing to the renewed optimism.

Investors may be anticipating more favorable macroeconomic conditions, including the possibility of lower interest rates in the future. Additionally, confidence in Bitcoin’s long-term value proposition continues to grow as more financial institutions embrace digital assets and regulatory frameworks become clearer in several major markets.

Positive developments within the broader cryptocurrency ecosystem may also be encouraging investors to re-enter positions after the recent period of selling. Despite the encouraging signs, market participants remain aware that Bitcoin is inherently volatile.

A single day of strong ETF inflows does not necessarily establish a sustained trend, and future performance will depend on a range of factors, including global economic conditions, regulatory developments, and overall investor sentiment. Continued positive inflows over several trading sessions would provide stronger evidence that institutional demand has regained momentum.

Analysts will closely monitor whether spot Bitcoin ETFs continue attracting fresh capital in the coming weeks. Sustained inflows, combined with Bitcoin maintaining levels above $62,000, could strengthen confidence that the market is entering a new phase of recovery.

Renewed outflows or sharp price corrections would indicate that investors remain cautious despite the recent rebound. Overall, the combination of $222 million in net inflows into spot Bitcoin ETFs and Bitcoin’s rise above $62,000 marks a significant shift in market dynamics.

While it is too early to declare the start of a prolonged bull run, these developments highlight renewed investor confidence and underscore the growing influence of regulated investment products in shaping the future of the cryptocurrency market.