AI & RoboticsNews

Anthropic’s stealth enterprise coup: How Claude 3.7 is becoming the coding agent of choice

While consumer attention has focused on the generative AI battles between OpenAI and Google, Anthropic has executed a disciplined enterprise strategy centered on coding — potentially the most valuable enterprise AI use case. The results are becoming increasingly clear: Claude is positioning itself as the LLM that matters most for businesses. The evidence? Anthropic’s Claude 3.7 Sonnet…
Read more
AI & RoboticsNews

Sony testing AI to drive PlayStation characters

As a company and first-party platform, PlayStation and Sony have not shied away from using AI as part of their value proposal to consumers. While competitor Microsoft has made a big show about using it for game ideation and prototyping, Sony has instead focused on using AI…
AI & RoboticsNews

Mayo Clinic’s secret weapon against AI hallucinations: Reverse RAG in action

Even as large language models (LLMs) become ever more sophisticated and capable, they continue to suffer from hallucinations: offering up inaccurate information, or, to put it more harshly, lying. Mayo Clinic, one of the top-ranked hospitals in the U.S., has adopted a novel technique to address this challenge. To succeed, the medical facility must overcome the limitations of retrieval-augmented…
Read more
AI & RoboticsNews

Hugging Face co-founder Thomas Wolf just challenged Anthropic CEO’s vision for AI’s future — and the $130 billion industry is taking notice

Thomas Wolf, cofounder of AI company Hugging Face, has issued a stark challenge to the tech industry’s most optimistic visions of artificial intelligence, arguing that today’s AI systems are fundamentally incapable of delivering the scientific revolutions their creators promise. In a provocative blog post published on his personal website this morning, Wolf directly confronts the widely…
Read more
AI & RoboticsNews

Enhancing AI agents with long-term memory: Insights into LangMem SDK, Memobase and the A-MEM Framework

AI agents can automate many tasks that enterprises want to perform. One downside, though, is that they tend to be forgetful. Without long-term memory, agents must either finish a task in a single session or be constantly re-prompted. So, as enterprises continue to explore use cases for AI agents and how to implement them safely, the companies enabling development of agents must consider how to…
Read more