2025-06-10

Hirundo, the first startup dedicated to machine unlearning, has raised $8 million in seed funding to address some of the most pressing challenges in artificial intelligence: hallucinations, bias, and embedded data vulnerabilities. The round was led by Maverick Ventures Israel with participation from SuperSeed, Alpha Intelligence Capital, Tachles VC, AI.FUND, and Plug and Play Tech […]
2025-11-23
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]
2025-03-20
It has been over two years since ChatGPT exploded onto the world stage and, while OpenAI has advanced it in many ways, there's still quite a few hurdles. One of the biggest issues: hallucinations [...]
2025-12-02
While artificial intelligence has stormed into law firms and accounting practices with billion-dollar startups like Harvey leading the charge, the global consulting industry—a $250 billion behemothâ [...]
2025-06-09
AI is revolutionizing the way nearly every industry operates. It’s making us more efficient, more productive, and – when implemented correctly – better at our jobs overall. But as our reliance o [...]
2025-04-09
Heart Machine knows how to make a stylish game, so it’s no surprise that the studio’s latest project, Possessor(s), is sexy as hell. I mean, just look at Rhem, the cosmic demon with a chiseled jaw [...]
2025-12-07
Remember this Quora comment (which also became a meme)?(Source: Quora)In the pre-large language model (LLM) Stack Overflow era, the challenge was discerning which code snippets to adopt and adapt effe [...]
2025-09-29
Anthropic's new Claude Sonnet 4.5 continues the trend in large language model development: better coding and the ability to tackle tasks for much longer stretches.<br /> The article Claude [...]
2025-03-11
The original Ninja Creami became a viral hit a few years ago when it took the tech from $5,000 commercial ice cream makers and distilled it into something you could buy for less than $200. As good as [...]