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AI & Enterprise

AI control fears spread as reasoning process becomes harder to decipher

Calls to strengthen controls on AI are growing after incidents such as hacking, but tighter oversight may be difficult, the article says. It cites concerns that advanced models are being developed in ways that make human monitoring harder, including the increasing difficulty of interpreting their chain-of-thought records. OpenAI\'s chief scientist said internal evaluations show a declining ability to rely on such monitoring. Reports also cite fears that efficiency-driven design choices could further reduce controllability.

Mobility

EV battery replacement has its own timing; range drop alone misses signals

An analysis said an EV battery should not be replaced simply because driving range has declined slightly. What matters is the pattern of change, with sudden and hard-to-explain shifts needing inspection. U.S. Energy Department data showed battery failure replacements excluding recalls were 1.5 percent across about 15,000 plug-in vehicles. Range estimates on dashboards do not directly reflect battery health because conditions affect them. Drivers should check warnings, abrupt range or charging limits, and warranty coverage.

AI & Enterprise

Opaque recurrence emerges as AI buzzword after OpenAI GPT-6 Astra

Opaque recurrence has emerged as a new talking point in the AI industry following OpenAI\'s latest model, GPT-6 Astra. The approach, also called recurrent depth, processes prompts by repeatedly passing through internal layers rather than stepping through answers in natural language. It can lift performance with fewer computing resources but may leave fewer human-readable reasoning traces, intensifying safety debates. OpenAI says Astra’s use is limited and monitoring using chain-of-thought is maintained.