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Beyond Fine-Tuning: What Apple’s Multimodal Sensor Fusion Study Reveals About LLMs and User Privacy
Apple shows non-fine-tuned LLMs can fuse local sensor summaries for multimodal activity recognition—boosting privacy and modularity.
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AI Consulting for SMEs: Practical Guidance, Real Impact
Artificial intelligence is transforming how modern businesses operate, but small and medium-sized enterprises often face the same challenge: turning potential into real, measurable value. My consulting approach focuses on practical strategy, clear ROI, and technically sound implementation—from workflow automation and prompt engineering to infrastructure, risk assessment, and end-to-end project guidance. No hype, no jargon—just AI…
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Beyond the Token Stream: Investigating Introspective Awareness in Large Language Models
Study shows LLMs can, via targeted interventions, access and report internal activations-evidence of nascent introspective awareness.
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The Quiet Cost of Too Many Yeses: What AI Can Learn from Good Teachers
In the era of human education, there were teachers who stood out not because they rewarded every thoughtless answer, but because they listened, considered what a student offered—even in error—and then gently guided them toward better answers. The memory the writer shares — “I fondly remember teachers who didn’t immediately dismiss my answers with a…
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Kimi K2 Thinking: China’s New Contender in the LLM Reasoning Race
The global AI landscape has entered a phase of rapid escalation. Major players now outdo one another with an almost weekly cadence of new model releases—each “the best ever,” each more powerful, more capable, more efficient. And we users, fascinated and perhaps a little complicit, eagerly follow along, testing every new capability as the frontier…
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