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ReCoLoRA Method Recycles LoRA Adapters to Reduce Catastrophic Forgetting in Continual Fine-Tuning

A new method called ReCoLoRA addresses the problem of catastrophic forgetting when sequentially fine-tuning large language models with low-rank adapters. Standard LoRA stacks new adapters on frozen weights, causing each task to ov...

AI

Researchers Outline Vision for 1,000x More Energy-Efficient Domain-Specific AI Agents

A position paper on arXiv argues that the next wave of AI should shift from massive general-purpose models to lightweight, domain-specific agents of 10 to 20 billion parameters that can reason, plan, and learn continuously in boun...

AI

Harness Engineering Approach Moves Enterprise LLM Guarantees From Prompts Into Code

A preprint describes a harness-engineering pattern that moves deterministic behavior -- source boundaries, entity routing, answer contracts, and reproducible traces -- from prompts into code, manifests, schemas, and validation art...

AI

Self-Consistency Is a Weak Proxy for LLM Correctness, Large-Scale Study Shows

A large-scale study across 53 model runners and 265,000 samples on GPQA Diamond and AIME benchmarks found that agreement among model outputs -- whether from self-consistency or cross-model ensembles -- is a positive but weak predi...

AI

Persuasion Attacks Undermine Chain-of-Thought Monitors, Study Finds

A study posted to arXiv tested whether an adversarial agent can persuade a chain-of-thought monitor to approve policy-violating actions. Across 40 tasks and thousands of agent-monitor interactions, giving the monitor access to the...

AI

Study Maps How Adversarial Prompts Rewire LLM Internal Reasoning During Jailbreaks

Researchers introduced a mechanistic framework that compares the internal computation graphs of a language model processing clean versus adversarial prompts. By aligning these graphs, they found that jailbreaks systematically supp...

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An Exclusive Sit-Down Interview with President Michael Elliott - WAMH Radio

1h 0m

WAMH Radio · Interview

An Exclusive Sit-Down Interview with President Michael Elliott

Pierce Berke sits down with Michael A. Elliott, the 20th President of Amherst College, for an exclusive conversation about AI in liberal arts education, the future of higher education, and what it means to lead an institution through unprecedented technological change.