All eyes on are SpaceX as it prepares for a blockbuster IPO as soon as this summer, and everyone is eager to get a look at the company’s official numbers for the first time.
The Information is reporting that last year, SpaceX posted $18.5 billion in revenue with a $5 billion loss.
According to the report, the numbers reflect the combined finances of SpaceX and xAI, which it acquired in February.
After acquiring xAI, SpaceX’s successful space launch and satellite business may have been dragged down by xAI’s massive data center spending. Earlier this year, Bloomberg reported that xAI had burned through $8 billion in the first nine months of 2025.
According to the report, the numbers reflect the combined finances of SpaceX and xAI, which it acquired in February.
After acquiring xAI, SpaceX’s successful space launch and satellite business may have been dragged down by xAI’s massive data center spending. Earlier this year, Bloomberg reported that xAI had burned through $8 billion in the first nine months of 2025.
Amazon is looking for a magic trick that can help it get past data center construction bottlenecks so it can work through the $244 billion worth of cloud computing backlogs it wants to deliver.
It may have just pulled a rabbit out of its hat. (I know, groan.)
Business Insider is reporting that Amazon’s Project Houdini seeks to slash labor costs and installation time by building modular “data halls” — the rows of racks of servers that make up the heart of data centers — in factories, and then shipping them fully assembled on trailers to data center sites.
According to the report, the modular plan would save weeks of construction time and tens of thousands of hours of labor costs.
This week in Amazon’s letter to shareholders, CEO Andy Jassy wrote that the company is planning $200 billion in capital expenditure this year, and that it is embracing its tradition of taking big bets on experiments like Project Houdini:
“You need to invent and experiment like crazy. Many of these experiments will fail, and it might feel like you’re getting nowhere. But, your culture must possess the tenacity to keep at it.”
Business Insider is reporting that Amazon’s Project Houdini seeks to slash labor costs and installation time by building modular “data halls” — the rows of racks of servers that make up the heart of data centers — in factories, and then shipping them fully assembled on trailers to data center sites.
According to the report, the modular plan would save weeks of construction time and tens of thousands of hours of labor costs.
This week in Amazon’s letter to shareholders, CEO Andy Jassy wrote that the company is planning $200 billion in capital expenditure this year, and that it is embracing its tradition of taking big bets on experiments like Project Houdini:
“You need to invent and experiment like crazy. Many of these experiments will fail, and it might feel like you’re getting nowhere. But, your culture must possess the tenacity to keep at it.”
AI benchmark leaderboards are often where mysterious new models make their debut, stoking speculation about the unnamed companies behind them.
That was the case with an impressive new text-to-video model named HappyHorse-1.0 that shot to the top of public leaderboards. CNBC reports that Chinese tech giant Alibaba has confirmed that it is the owner of the new model.
HappyHorse beat out the popular Seedance model from rival ByteDance in blind human evaluations to claim the top spot on the Artificial Analysis text-to-video leaderboard.
While OpenAI has announced it is shuttering its text-to-video Sora app, the category continues to see intense competition as a flurry of video models improve with more realistic physics and cinematic effects.
HappyHorse beat out the popular Seedance model from rival ByteDance in blind human evaluations to claim the top spot on the Artificial Analysis text-to-video leaderboard.
While OpenAI has announced it is shuttering its text-to-video Sora app, the category continues to see intense competition as a flurry of video models improve with more realistic physics and cinematic effects.
This week, Anthropic warned that it had developed a new model that was too dangerous to cybersecurity to be released to the public.
According to a new report, OpenAI is saying similar things about a new cybersecurity tool it is working on (separate from its rumored forthcoming Spud model).
Axios wrote that OpenAI is allowing a small group of partners to test its new AI tool, which has “advanced cybersecurity capabilities.”
The realization that we have arrived at an era of powerful new AI models that could overwhelm current cybersecurity defenses is spooking investors, with cybersecurity stocks like Cloudflare, Zscaler, CrowdStrike, and Palo Alto Networks all down sharply this morning.
Axios wrote that OpenAI is allowing a small group of partners to test its new AI tool, which has “advanced cybersecurity capabilities.”
The realization that we have arrived at an era of powerful new AI models that could overwhelm current cybersecurity defenses is spooking investors, with cybersecurity stocks like Cloudflare, Zscaler, CrowdStrike, and Palo Alto Networks all down sharply this morning.
OpenAI’s ambitious Stargate global data center project just got smaller.
First announced at the White House alongside President Trump at the start of his second term, the OpenAI partnership with Oracle and SoftBank sought to build massive data centers around the world, including sites in the UAE, the UK, and Norway.
Bloomberg reports that the company is “pausing” the Stargate UK project, citing high energy costs and regulatory obstacles.
Last month, the company and its partner Oracle scrapped its planned expansion of the Stargate I data center site in Abilene, Texas.
In a statement to Bloomberg, the company said:
“AI compute is foundational to that goal — we continue to explore Stargate UK and will move forward when the right conditions such as regulation and the cost of energy enable long-term infrastructure investment.”
Stargate UK was announced in September, including a partnership with Nvidia and Nscale that would scale up to 31,000 GPUs.
Bloomberg reports that the company is “pausing” the Stargate UK project, citing high energy costs and regulatory obstacles.
Last month, the company and its partner Oracle scrapped its planned expansion of the Stargate I data center site in Abilene, Texas.
In a statement to Bloomberg, the company said:
“AI compute is foundational to that goal — we continue to explore Stargate UK and will move forward when the right conditions such as regulation and the cost of energy enable long-term infrastructure investment.”
Stargate UK was announced in September, including a partnership with Nvidia and Nscale that would scale up to 31,000 GPUs.
The first big release from Meta’s Superintelligence Labs is here — a new multimodal reasoning model called Muse Spark. Shares of Meta spiked on the news, extending gains it had made earlier in the day on optimism over the ceasefire with Iran. The stock was recently up about 9%.
Meta has been playing catch-up in the generative-AI race, watching startups OpenAI and Anthropic leap ahead with ever more capable models, after the bungled rollout of its Llama 4 models.
After Meta went on an expensive hiring spree assembling an all-star team of AI researchers, investors have been eager to see the fruits of this team, and to see if the accompanying billions of capex dedicated to power it — $115 billion to $135 billion this year alone — were worth it.
Meta says the release is the first in a Muse family of models, which it says it will scale up over time. The benchmark scores released by Meta show Spark to be capable, with solid scores among popular benchmarks, but not any huge leaps over leading models from Anthropic, OpenAI, xAI, and Google.
Meta CEO Mark Zuckerberg said in a post on Threads:
“Looking ahead, we plan to release increasingly advanced models that push the frontier of intelligence and capabilities, including new open source models. We are building products that don’t just answer your questions but act as agents that do things for you. I am optimistic that this will support a wave of creativity, entrepreneurship, growth, and health. I’m looking forward to sharing more soon.”
After Meta went on an expensive hiring spree assembling an all-star team of AI researchers, investors have been eager to see the fruits of this team, and to see if the accompanying billions of capex dedicated to power it — $115 billion to $135 billion this year alone — were worth it.
Meta says the release is the first in a Muse family of models, which it says it will scale up over time. The benchmark scores released by Meta show Spark to be capable, with solid scores among popular benchmarks, but not any huge leaps over leading models from Anthropic, OpenAI, xAI, and Google.
Meta CEO Mark Zuckerberg said in a post on Threads:
“Looking ahead, we plan to release increasingly advanced models that push the frontier of intelligence and capabilities, including new open source models. We are building products that don’t just answer your questions but act as agents that do things for you. I am optimistic that this will support a wave of creativity, entrepreneurship, growth, and health. I’m looking forward to sharing more soon.”
Alibaba announced a new data center in southern China, in a partnership with China Telecom powered by its own Zhenwu chips. The new data center will contain 10,000 of the homegrown chips, and may scale up to 100,000 over time. The data center will be used for both inference and training.
China is racing to build out its own sovereign AI capabilities, and is making significant progress.
While Chinese companies and labs have released many competitive AI models, such as Alibaba’s Qwen, Z.ai’s new GLM-5.1, and the disruptive DeepSeek R1, China is still behind the US when it comes to AI chips, and it has struggled to get hold of the latest Nvidia GPUs due to US export controls.
China is racing to build out its own sovereign AI capabilities, and is making significant progress.
While Chinese companies and labs have released many competitive AI models, such as Alibaba’s Qwen, Z.ai’s new GLM-5.1, and the disruptive DeepSeek R1, China is still behind the US when it comes to AI chips, and it has struggled to get hold of the latest Nvidia GPUs due to US export controls.
The unusual announcement of the model highlights its alarming new cybersecurity capabilities.
Scratch that... Actually, Apple’s foldable iPhone may be on track to debut later this year after all.
Hours after a report from Nikkei Asia said Apple was encountering engineering problems with the novel design that could lead to a delayed launch, Bloomberg’s Mark Gurman reports that sources within Apple say the premium foldable iPhone is still on track to launch in September, alongside the iPhone 18 Pro and iPhone 18 Max.
Shares of Apple had plunged more than 5% on word of a possible delay, but pared losses on Gurman’s story.
According to the report, the foldable iPhone will cost more than $2,000 and will be a key part of the company’s plan to revamp the iPhone lineup.
Shares of Apple had plunged more than 5% on word of a possible delay, but pared losses on Gurman’s story.
According to the report, the foldable iPhone will cost more than $2,000 and will be a key part of the company’s plan to revamp the iPhone lineup.
The competition among AI startups for poaching top talent has a new contender.
The Financial Times reports that xAI cofounder Kyle Kosic has been poached from OpenAI by Amazon founder Jeff Bezos for his new AI industrial manufacturing startup, Project Prometheus.
Kosic was one of the original 11 cofounders of xAI and worked on the Colossus data center. Kosic left xAI in 2024 to return to OpenAI. Elon Musk is the last xAI cofounder still working for the company.
According to the report, Kosic will work on AI infrastructure in his new role at Project Prometheus, which has reportedly hired hundreds of staff in San Francisco, London, and Zurich.
Kosic was one of the original 11 cofounders of xAI and worked on the Colossus data center. Kosic left xAI in 2024 to return to OpenAI. Elon Musk is the last xAI cofounder still working for the company.
According to the report, Kosic will work on AI infrastructure in his new role at Project Prometheus, which has reportedly hired hundreds of staff in San Francisco, London, and Zurich.
One of Apple’s key product launches for 2026 might be facing delays.
The company’s planned foldable iPhone has run into engineering problems during testing, and mass production could be delayed as a result, according to a report from Nikkei Asia.
The complexity of the novel design is reportedly taking longer than expected to perfect, and could push back the product’s launch by months.
Per the report, Apple planned to initially produce 7 million to 8 million of the foldable iPhones, which it intends to position as a premium entry in the new iPhone lineup.
This would be the second Apple foldable product that has faced delays due to engineering problems, as Bloomberg reported that a $3,000 foldable iPad would be delayed until 2029 or later.
Apple shares were down sharply in early trading.
The complexity of the novel design is reportedly taking longer than expected to perfect, and could push back the product’s launch by months.
Per the report, Apple planned to initially produce 7 million to 8 million of the foldable iPhones, which it intends to position as a premium entry in the new iPhone lineup.
This would be the second Apple foldable product that has faced delays due to engineering problems, as Bloomberg reported that a $3,000 foldable iPad would be delayed until 2029 or later.
Apple shares were down sharply in early trading.
Axios reports that Meta is close to releasing its first new AI models after setting up its “superintelligence” team led by former Scale.AI CEO Alexandr Wang, and some of the models will eventually be released with an open-source license.
Per the report, Meta sees an opportunity to focus on consumers, rather than the lucrative enterprise market that both OpenAI and Anthropic have been focusing on.
Meta had previously embraced open-source AI with its Llama models, with CEO Mark Zuckerberg writing a manifesto declaring open-source AI as “the path forward.” Axios says that Meta will be pursuing more of a hybrid strategy of proprietary and open-source models going forward.
The New York Times previously reported that Meta was delaying the launch of its new AI model because of performance issues.
Meta had previously embraced open-source AI with its Llama models, with CEO Mark Zuckerberg writing a manifesto declaring open-source AI as “the path forward.” Axios says that Meta will be pursuing more of a hybrid strategy of proprietary and open-source models going forward.
The New York Times previously reported that Meta was delaying the launch of its new AI model because of performance issues.
The company’s policy paper calls for a new social contract that includes AI at the center of everything, which could lower costs and create cures for diseases, but also warned it may upend the public safety net.
The median price for a house in San Francisco is now $2.15 million, jumping 18% from last year. The AI startup boom is pushing what was already one of the most expensive housing markets to dizzying new heights. The median price for condos in the city jumped 27% to reach $1.36 million, according to data from Compass, reported by Bloomberg.
Anthropic and OpenAI are racing to go public this year, and all eyes are on how long they can sustain burning billions in cash before they achieve something that looks like a viable business.
Investors have seen both companies’ projections, and there’s no sign of slowing down, according to a report from The Wall Street Journal.
OpenAI expects to burn tens of billions per year for the rest of the decade, peaking at $85 billion in 2028, before achieving profitability in 2030, per the report.
Anthropic will also continue to burn cash for years — far less than OpenAI — but it projects that 2026 will be its biggest year of losses. It targets 2029 for profitability, fueled by exploding enterprise revenue.
OpenAI expects to burn tens of billions per year for the rest of the decade, peaking at $85 billion in 2028, before achieving profitability in 2030, per the report.
Anthropic will also continue to burn cash for years — far less than OpenAI — but it projects that 2026 will be its biggest year of losses. It targets 2029 for profitability, fueled by exploding enterprise revenue.
America’s booming energy demand is creating a powerful case for large-scale energy storage.
The successful launch of the Artemis II lunar flyby marked one small step for NASA, while China’s already making giant leaps in its own space program.