March 2026 US Tech Policy Roundup - Tech Policy Press
<a href="https://news.google.com/rss/articles/CBMicEFVX3lxTE1kVmV2Q0hNMWhZTnZINlA2V1RyY2V3YkYzS0lvZTBtdXBtc1RaRjJXUWxZbGxjZWE1ZDZZeUlqeExYVWNSTEE5akxiUTEyeUJxeWRoYlRBWVFMdWl1c0I0TjQ3Vm1KeG9oQkYxUWJtaVg?oc=5" target="_blank">March 2026 US Tech Policy Roundup</a> <font color="#6f6f6f">Tech Policy Press</font>
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Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment
Despite their sophisticated general-purpose capabilities, Large Language Models (LLMs) often fail to align with diverse individual preferences because standard post-training methods, like Reinforcement Learning with Human Feedback (RLHF), optimize for a single, global objective. While Group Relative Policy Optimization (GRPO) is a widely adopted on-policy reinforcement learning framework, its group-based normalization implicitly assumes that all samples are exchangeable, inheriting this limitation in personalized settings. This assumption conflates distinct user reward distributions and…
Why Australia’s tech sovereignty needs smart partnerships
Geopolitical risk, cyber threats and outages are driving a rethink of how we build, run and protect the infrastructure powering the economy, argues Mark Hile, Datacom MD, Infrastructure Products. As someone entrusted with overseeing infrastructure products for a company that acts as a tech partner to hundreds of Australian organisations, both enterprise and government, the conversation around digital resilience , sovereignty and strengthening local infrastructure and networks has never felt more urgent – or more personal. After more than a decade working closely with Datacom’s customers, I believe our sector stands at an inflection point. We must either double down on building trusted, regionally-owned technology infrastructure or risk losing strategic control to offshore interests and unc
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