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Fordel Pulse

AI news, builder's perspective

What happened. Why it matters. What to do about it.

2556 items
Yesterday
AI News
SAP brings agentic AI to human capital management

According to SAP, integrating agentic AI into core human capital management (HCM) modules helps target operational bloat and reduce costs. SAP’s SuccessFactors 1H 2026 release aims to anticipate administrative bottlenecks before they stall daily operations by embedding a network of AI agents across

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AI News
Canada’s Scotiabank preps for its AI future

Scotiabank has launched an AI framework, Scotia Intelligence, for data and AI operations that joins various platforms, data oversight, and software tools into a single instance. According to a press release from the bank, the stated purpose of Scotia Intelligence is to give employees, especially cli

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Coming soon: 10 Things That Matter in AI Right Now

Each year we compile our 10 Breakthrough Technologies list, featuring our educated predictions for which technologies will have the biggest impact on how we live and work. This year, however, we had a dilemma. While our final picks encompass all our core coverage areas (energy, AI, and biotech, plus

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AI News
Hyundai expands into robotics and physical AI systems

Hyundai Motor Group is starting to look like a company building machines that act in the real world. The change centres on physical AI: Where AI is placed into robots and systems that move and respond in physical spaces. Current efforts are mainly focused on factory and industrial settings. Hyundai’

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NVIDIA and the University of Maryland Researchers Released Audio Flamingo Next (AF-Next): A Super Powerful and Open Large Audio-Language Model

Understanding audio has always been the multimodal frontier that lags behind vision. While image-language models have rapidly scaled toward real-world deployment, building open models that robustly reason over speech, environmental sounds, and music — especially at length — has remained quite hard.

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Google ADK Multi-Agent Pipeline Tutorial: Data Loading, Statistical Testing, Visualization, and Report Generation in Python

In this tutorial, we build an advanced data analysis pipeline using Google ADK and organize it as a practical multi-agent system for real analytical work. We set up the environment, configure secure API access, create a centralized data store, and define specialized tools for loading data, exploring

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opinionSlow BurnAnthropic Safety Focus
Anthropic repeatedly accidentally trained against the CoT, demonstrating inadequate processes

It turns out that Anthropic accidentally trained against the chain of thought of Claude Mythos Preview in around 8% of training episodes. This is at least the second independent incident in which Anthropic accidentally exposed their model's CoT to the oversight signal. In more powerful systems, this

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