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.
Axios is reporting 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 which 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.
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.
