Recent updates from OpenAI highlight a clear shift. Models are getting better at reasoning, reducing factual errors, and handling complex workflows. But even with improvements: hallucinations still exist confidence doesn’t always equal correctness production risk hasn’t disappeared This creates a real challenge for teams building with LLMs: response = llm.generate(query) if not validate(response):response =(Read More)
With powerful models from providers like OpenAI becoming widely accessible, many applications are now built on the same underlying technology. In your experience, will the real competitive advantage come from better proprietary data, better system design, or something else?
