9 mins read

Google’s TabFM skips per-dataset training and still predicts on tables it’s never seen

The vast majority of business data is tabular — living in data warehouses, CRMs, and financial ledgers — yet building a reliable model from it still means training a new one from scratch for every dataset, then maintaining hyperparameter tuning loops, feature engineering, and retraining pipelines to fight data drift. Google Research is proposing a […]

3 mins read

Researchers hid a prompt injection inside a PNG, and AI fell for it

AI coding assistants like Claude are becoming every developer’s favorite coworker. They can review code, explain confusing functions, and even write entire features with a single prompt. But new research suggests that this growing trust could also become their biggest weakness. A team of security researchers (professor Sudipta Chattopadhyay and researcher Murali Ediga) has demonstrated […]

5 mins read

Enterprise AI is entering an evaluation gap: Agents are gaining autonomy faster than companies can verify them

Enterprise AI teams are giving agents more freedom at the same moment their confidence in automated testing is collapsing. Half of enterprises have deployed an AI agent or LLM feature that passed internal evaluations and yet still caused a customer-facing failure — one in four more than once — according to the June 2026 VB […]

6 mins read

Forget typosquatting; slopsquatting is the software supply chain threat created by AI coding tools

Slopsquatting represents an emerging supply chain threat made possible by AI hallucinations. As developers increasingly rely on AI coding assistants, they unknowingly grant cybercriminals access to their software from day one.  Understanding what slopsquatting is Slopsquatting is a new type of supply chain attack that uses large language model (LLM) hallucinations to inject malicious code […]