A new MIT report reveals that while 95% of corporate AI pilots fail, 90% of workers are quietly succeeding with personal AI tools, driving a hidden productivity boom.Read More
Last Thursday, OpenAI CEO Sam Altman told reporters at a private dinner that investors are overexcited about AI models. "Someone" will lose a "phenomenal amount of money," he said, according to The Verge. The statement came as his company negotiates a secondary share sale at a $500 billion valuationβup from $300 billion just months earlier.
"Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes," Altman told the journalists, comparing the current market to the dot-com crash of the 1990s. Wired reported that he also predicted his company will spend "trillions of dollars on data center construction in the not very distant future" and that ChatGPT will soon serve "billions of people a day."
For context, Facebook serves about 3 billion monthly active users. Altman's projection would require ChatGPT to reach nearly half the world's population as daily users (not monthly, like Facebook), which is an extraordinarily optimistic outlook.
TensorZero raises $7.3 million to build an open-source AI infrastructure stack that helps enterprises scale and optimize large language model (LLM) applications with unified tools for observability, fine-tuning, and experimentation.Read More
New research reveals open-source AI models use up to 10 times more computing resources than closed alternatives, potentially negating cost advantages for enterprise deployments.Read More
Anthropic faces risks as $5B run rate leans on Cursor and GitHub Copilot as OpenAIβs cheaper GPTβ5 undercuts Claude, spotlighting customer concentration risks and enterprise AI cost pressure.Read More
Anthropic's Claude Opus 4.1 achieves 74.5% on coding benchmarks, leading the AI market, but faces risk as nearly half its $3.1B API revenue depends on just two customers.Read More
OpenAI abruptly removed a ChatGPT feature that made conversations searchable on Google, sparking privacy concerns and industry-wide scrutiny of AI data handling.Read More
Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the visual understanding capabilities of proprietary models like GPT-4V and Gemini 1.5 Flash, potentially reshaping the competitive landscape between open and cβ¦Read More