Imagine your SQL assistant is a rocket, blasting through complex queries. Then one day you realize you’re using rocket fuel to fetch a grocery list. It’s exciting, until the fuel bill arrives.
Most text-to-SQL systems treat the task as translation. Feyn AI (YC-backed startup) reframes it around inspection. The Feyn team has released SQRL, a family of models that turn natural language ...
AI companies are moving beyond a simple race over who has the biggest or newest model. Perplexity CEO Aravind Srinivas says the real product is becoming the system that chooses which model to use for ...
A new AI model from Meta allows users to create realistic deepfakes of regular people and celebrities using public Instagram photos as source material — and the ...
The browser-based Voice Agent Builder allows users to design, deploy, and manage voice agents without writing code. xAI describes the Voice Agent Builder as being designed for “operators and ...
The most important AI chart for startups may not be the one showing larger models, higher benchmark scores or billion-dollar training runs. Representative AI infrastructure image. Photo by panumas ...
The Preliminary Report of the Independent International Scientific Panel on AI: Evidence-based assessment of opportunities, risks and impacts of AI is a first-of-its-kind independent scientific ...
Forbes contributors publish independent expert analyses and insights. I cover the future of work, team effectiveness, and growth strategies. This voice experience is generated by AI. Learn more. This ...
Just as with LLMs, success in other frontiers of AI will require access to large volumes of high-quality data. That will require deliberate, research-driven dataset design. Artificial intelligence ...
Despite the big promise of AI, only 5% of AI implementations deliver measurable business returns, according to a recent study by MIT. Rarely is the problem the technology. More often, AI efforts fall ...
Data points to heavier AI Overview presence in commercial search. Broader studies report lower rates because they include more query types. The gap shows why AI Overview tracking depends on what gets ...
When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...