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Khaled Darwish

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For more than eleven years, Khaled Darwish has tracked the evolution of finance, regulation, and digital currencies for outlets such as Al Arabiya Business. Khaled completed postgraduate studies in Journalism and International Communication. His articles connect institutional strategies with the world of retail. Outdoor activities are his favorites.
Meta AI infrastructure to Anthropic

The prospect of renting Meta AI infrastructure to Anthropic points to a fresh revenue line for the social media company, and it could reach anyone who uses AI tools built on that capacity. Meta and Anthropic are in early talks, a source familiar with the discussions confirmed to CNN. The New York Times reported the potential Meta-Anthropic compute deal first, pegging its value at up to $10 billion over two years and citing three people with knowledge of the talks. CNN’s source said any specific numbers already reported are speculative.

The discussions are preliminary. Reuters reported Anthropic proposed the arrangement in June, with monthly payments over two years and an early exit for either side. Nothing is signed. Terms can still change. Meta and Anthropic declined to comment.

What the deal would mean for Meta

A move to lease Meta AI infrastructure to Anthropic would open a Meta cloud computing business, a line the company has never run before. That would place it against Amazon, Microsoft and Google, the three firms that dominate cloud today. For a company whose returns come almost entirely from advertising, an AI compute lease turns idle servers into cash.

The spending backdrop explains the interest. Meta said it plans to spend between $125 billion and $145 billion this year, most of it on data center buildout. That could roughly double the prior year. Investors have pressed Meta on its AI infrastructure spending, and its shares are down more than 8% from a year ago.

Zuckerberg has hinted at this path before. At Meta’s annual shareholder meeting in May, he said outside companies approach almost every week asking to buy compute “at some premium to what we’ve bought it at.” Meta held off, he said, because it still had a use for the capacity. If it overbuilds, leasing becomes an option.

Why Anthropic wants more compute

Anthropic Claude compute demand keeps climbing, and the company cannot add capacity fast enough on its own. It already holds multibillion-dollar compute deals with Google, SpaceX, Microsoft and Amazon. Adding Meta would give it another supplier as it works to keep Claude running for a growing user base.

The setup is unusual. Meta builds its own AI models and competes with Anthropic on features. Under this arrangement, it would also become Anthropic’s supplier for computing power. The compute shortage has made that kind of rival-to-rival deal routine across the industry.

What it means for you

Here is the ripple. When an AI lab adds compute, users tend to feel it. More capacity can mean looser usage limits, faster responses and steadier access to advanced models. If the plan to rent Meta AI infrastructure to Anthropic closes, Claude users could see those gains over time. If it falls apart, the pressure on Anthropic’s capacity stays.

Meta is chasing bigger AI returns on other fronts too. Last month it released an upgraded Muse Spark model it said could rival the coding tools from OpenAI, Anthropic and others. For the first time, Meta offered a paid version, another signal it wants more money back from its AI push.

The prospect of renting Meta AI infrastructure to Anthropic sits at the center of that shift. Watch whether talk turns into a signed contract.

Mira Murati's Inkling AI model

Mira Murati’s Inkling AI model arrived this week, and it shifts who gets to shape a frontier system. Thinking Machines Lab posted the full weights on Hugging Face. You can download them, run the model on your own hardware, and rebuild it for your work. That reach sets it apart from the closed flagships sold by OpenAI, Anthropic, and Google.

What Inkling is

Inkling is a Mixture-of-Experts model with 975 billion total parameters. It calls on about 41 billion for any single task, which keeps a very large system faster and cheaper to run. The model handles a context window of up to 1 million tokens. It reads text, images, and audio, and reasons across all three. Thinking Machines trained it on 45 trillion tokens of text, images, audio, and video.

The company is blunt about where the model lands. In its own words, Inkling is not the strongest model available today, open or closed. The pitch runs a different way. Murati’s team wants you to own a base you can adapt, not rent a locked system you cannot see inside.

Why Mira Murati’s Inkling AI model targets builders

Mira Murati’s Inkling AI model is built to be changed. Thinking Machines made it available for customization on the Tinker fine-tuning platform on launch day. You point the model at your own data, train it for your domain, and keep the result. The company also added an Inkling Playground in the Tinker console, so you can chat with the model before committing to a training run.

Controllable thinking effort is the other lever. You can dial how long the model reasons, trading speed for depth depending on the task. A lighter preview, Inkling-Small, runs 12 billion active parameters and aims for strong results at lower cost and latency.

Who Murati is and why it counts

Murati left OpenAI as chief technology officer in 2024. Months later, she founded Thinking Machines Lab, which raised a $2 billion seed round at a $12 billion valuation before it shipped a single product. Inkling is the lab’s first in-house model, built in under a year and trained on NVIDIA GB300 NVL72 systems.

Her open-weight AI model choice carries a history. At OpenAI in 2019, the lab held back the full GPT-2 over misuse fears. Murati now signals a case-by-case path: release openly when the risk looks manageable, hold back when it does not. Open weights this time do not promise open weights next time.

What it means for you

The stakes reach past the research world. If you run a business, an open-weight AI model you can fine-tune keeps your proprietary knowledge in-house instead of feeding it through someone else’s API. Thinking Machines points to work with hedge fund Bridgewater, where a fine-tuned open model scored 84.7 percent on a financial reasoning test. That figure came from the two companies’ own evaluation, not an independent one, so weigh it as a first-party claim until others confirm it.

For developers, Mira Murati’s Inkling AI model widens the menu. You get a large, multimodal base you can inspect, adapt, and deploy through providers like TogetherAI, Fireworks, and Baseten. The Mixture-of-Experts model design keeps running costs down while the parameter count stays high.

Inkling is the first in a planned family from Thinking Machines Lab. More models will follow. Whether each future model ships with open weights is not settled yet.

China's World Cup absence

China’s World Cup absence stretches into another summer while North America hosts the biggest football show. You watched the 2026 FIFA World Cup expand from 32 to 48 teams this year. Even with a wider door, the Chinese men’s national team stayed home once again. China reached its first and only World Cup back in 2002 in South Korea and Japan. Since then, the national team has entered every qualifying cycle without earning another ticket. Fans across the country now face the same painful question about football and national pride.

China lost 1-0 to Indonesia in Jakarta during June of last year, ending its run. The defeat left the squad bottom of its Asian group with no route forward. Branko Ivankovic, the team’s head coach, accepted full blame for the failed campaign right afterward. His team finished with six points from nine matches and a weak goal difference. Japan and Iran booked their places early on while China fell far behind them. Nine Asian teams reached the expanded finals this time, including newcomers Jordan and Uzbekistan. China’s huge population passes 1.4 billion people, yet the men’s side keeps falling short.

A dream born right at the top

Xi Jinping placed football near the center of a national ambition more than a decade ago. Before he became president, he named three public wishes for the sport he loved. He wanted the country to qualify, then host, and one day win the tournament. The Xi Jinping football plan took shape in April 2016 with bold national targets. Officials promised 70,000 new pitches and 30 million schoolchildren playing football across China by 2020. A decade later, the real results look quite modest against those large early promises. The men’s national team sat 82nd in the world back in 2016 across global rankings. Today it sits near 91st place out of 211 national teams tracked by FIFA.

China’s World Cup absence and the money years

China’s World Cup absence looks stranger once you study the spending during the boom years. The Chinese Super League drew global stars with enormous wages between 2015 and 2017. Clubs spent about 1.12 billion dollars on transfers across those three heavy-spending seasons. Big names like Oscar, Hulk, Paulinho, and Carlos Tevez traded Europe for Chinese football. Property developers funded most of this spending boom for reasons far beyond sport itself. By 2018, every single top-flight club owner also held interests in the property market. Dr. Tobias Ross studied this scene closely for a new book on the subject.

He interviewed 200 people inside Chinese football to understand the real motives at work. “It was never about football,” Ross told CNN Sports about the owners’ true aims. Owners chased closer ties with local party officials to reach land and bank loans. Officials, in turn, gained real prestige and a stronger case for career promotion at home. The whole model rarely made money, and Ross plainly called it a loss-making business. Guangzhou Evergrande won eight league titles yet still lost huge sums almost every year. Bloomberg reported yearly losses between 155 and 310 million dollars for the club in 2021.

Fans filled stadiums for a while, drawn by famous names and loud matchday shows. None of the current national team players compete for top clubs outside China today. European leagues still shape the best talent, and Chinese players lack such exposure abroad.

When the money and the interest faded

The wild spending spree never rested on a base built for the long term. Cash often dried up soon once developers secured their land or finished their key projects. Local officials chased short wins during limited terms rather than slow, patient team building. A slowing economy and falling birth rate then pushed football down the priority list. Ross notes football no longer sits inside the country’s important central five-year plan today. Local governments also lack spare cash right after the pandemic drained their tight budgets. Priorities shifted toward technology and trade as rivalry with the United States grew sharper.

Corruption also drained public trust across Chinese football here over many difficult recent years. Authorities handed lifetime bans to 73 players and officials over match-fixing earlier this year. Former national coach Li Tie now serves a long prison sentence for taking bribes. Weak oversight let public money slip into the wrong private hands again and again. Investigations reached coaches, referees, and top league bosses across several painful recent seasons here. Trust takes many years to rebuild once fans watch scandal after scandal unfold openly. Several naturalized players left the squad, and this move widened the talent gap further.

A Chinese football player

No culture to fill the pitches

China’s World Cup absence also traces back to weak roots at the community level. Beijing built many pitches, yet the country lacks a deep football tradition to fill them. Rowan Simons moved to China during the 1980s and later studied the language there. He soon became a well-known commentator and searched for a local club to join. “There were no football clubs then,” Simons told CNN Sports about his early years. Everything ran through the government, and this reality surprised him deeply at the time. In Britain, amateur clubs run on volunteers who mow pitches and drive team buses. China’s grassroots football stays fairly thin without those social clubs and shared community habits. Simons argues real progress needs the whole sport built from the base upward first. China lacks this base, so new pitches sit empty without steady weekend teams around. Volunteers keep local British football alive through shared duties passed down across many families.

The numbers behind the shortfall

China now counts around 980,000 registered players and roughly 40,000 amateur teams in total. England holds a population of around 4.2 percent of the Chinese total, yet fields more. This smaller nation still lists more registered players and three times as many teams. An official report last December ranked football outside the country’s six most popular sports. Badminton and cycling both draw more everyday players than the national football game does. China opened thousands of new school pitches, yet trained coaches stayed in short supply. Good coaching turns raw players into real teams, and China trails on this front.

Simons points to a sharp drop-off he simply calls the cliff in youth football. Children often play in primary school before heavy pressure pulls them off the pitch. The gaokao college exam looms large, and many parents drop sport for study time. State media even calls it the hardest test in the world for good reason. His own club sees heavy dropout among players once they turn 12 years old.

A system built for medals

Simon Chadwick teaches sport at Emlyon Business School and sees an even deeper problem. “Football rewards individual flair,” Chadwick told CNN Sports about stars like Messi and Ronaldo. He argues Chinese society rarely rewards the loose personal creativity strong football clearly demands. Family life, school, and work often follow rather tight and highly shared daily routines. Such a rigid structure leaves little room for the messy street play great talents need. Talented children need free play, and rigid schedules squeeze out such daily freedom fast. China finished a strong second in the medal table at the 2024 Paris Olympics. Chadwick says the Chinese sports system aims mostly toward clear, individual Olympic medal events. Winning a sprint race differs sharply from building a squad for a month-long tournament.

China’s World Cup absence and the road ahead

China’s World Cup absence hangs over every plan for the next generation of players. The China 2002 World Cup run still stands as the peak for the men’s team. Serbian coach Bora Milutinovic guided the side through Asian qualifying without a loss then. The squad lost all three group games in 2002 and scored no goals at all. Sun Jihai played in the 2002 tournament and later joined Manchester City in England. He also became the first East Asian player to score in the Premier League. Today he hopes to coach young players and repair Chinese football from the inside. “Youth coaching offers the fastest path to fix it,” Sun said in one interview.

Foreign coaches came and went, yet none of them fixed the shallow talent pool. From my reading of the evidence, no quick fix will change these deep habits soon. Money alone never built the culture your favorite football nations slowly grew over generations. You can now see why patience matters more than any single wave of hard spending. China owns wealth, ambition, and huge crowds, yet the grassroots base still needs work. Patience, better schools, and real local clubs offer the only honest path back up. Chinese brands still appear across the 2026 FIFA World Cup through large sponsorship deals. So the country shapes the tournament off the pitch while missing the pitch itself. The next qualifying cycle starts fairly soon, and young players carry the country’s hopes. Real change now waits in classrooms, community clubs, and a football culture built over time.