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• AI chatbots are becoming political advisers. Their answers can mislead voters

  Flawed artificial intelligence tools pose an immediate risk of disenfranchising the public during crucial election cycles. Researchers discovered that major conversational models frequently deliver outdated procedural details with authoritative confidence, potentially causing users to miss statutory registration deadlines or visit polling locations on incorrect dates.

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• Researchers say LLMs can be good at natively reading and writing neural network weights; GPT-6 Astra edited Qwen3.5-0.8B's weights to make it better at math (Rikiya Takehi)

  Recent findings reported by Rikiya Takehi indicate that artificial intelligence systems can directly interpret and modify internal model architectures. This development suggests a future where advanced systems autonomously optimize other networks, potentially accelerating performance tuning without conventional human intervention. By directly altering internal parameters, foundational models may soon manage the mechanical fine-tuning of specialized tools.

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• Anthropic reveals $900B AI spending commitments ahead of IPO

  The artificial intelligence developer has detailed massive long-term expenditure plans in preparation for its debut on public markets. These massive financial pledges highlight the scale of infrastructure and operational resources required to compete in the sector. The disclosures offer prospective investors crucial visibility into the capital outlays expected to drive future operations.

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