adaptation

This paper introduces BPE-guided insertion for post-hoc tokenizer adaptation on byte-level BPE models, keeping vocabulary size fixed and preserving most token-ID assignments. The method reduces Ukrainian token counts by ~33-36% while minimizing impact on English and other European languages.

Ramp Labs open-sourced PorTAL, a framework for shared task representations and cross-model LoRA adaptation, supporting hybrid attention models and multimodal systems including Gemma 4, Mistral 7B, and Inkling.

Astronauts returning from six-month ISS missions report a persistent 'observer sensation'—feeling detached from their own lives as if watching from outside—weeks after landing, a perceptual aftereffect of neurological adaptation to microgravity.

This paper proposes adjustment speed as a safety constraint for nonstationary reinforcement learning, defining safety in terms of adaptation feasibility and using representation learning with context forecasts to proactively regulate behavior when predicted adaptation demand exceeds the system's achievable capacity.

The article argues that the primary bottleneck in robotics is not hardware but AI software, which still struggles with adaptation to novel situations.

SiGMA proposes sign-guided adaptive tuning during training and sign-guided merging at inference to mitigate negative interference in multimodal continual instruction tuning, achieving state-of-the-art results on UCIT and DCL benchmarks.

The article speculates that the AI revolution, which may make jobs replaceable every 3-5 years, could force people to save and invest more wisely, drawing on historical examples of adaptation under difficult circumstances.

A user reports that a local LLM hallucinates citations with high confidence when adapted for legal documents, and seeks advice on grounding, model, or pipeline ideas to mitigate this issue.

Loss smoothing interpolates between source and target objectives during adaptation, preserving useful features while enabling specialization. Experiments across supervised shifts, RL, and language model fine-tuning show consistent improvements.

Apple TV teases a new chapter of William Gibson's Neuromancer, likely a TV series adaptation in collaboration with Paramount TV Studios and DreamCrew Entertainment.

Domain Arithmetic (DART) proposes a one-shot adaptation method for Vision-Language-Action models under environmental shifts using weight vector arithmetic and subspace alignment, requiring only a single demonstration.

The article argues that learning to use AI tools is not enough; the real advantage comes from building systems, gaining attention, communicating ideas, and creating products people want. Execution and combination of skills will matter more than just AI proficiency.

This paper proposes H-Res, a method to adapt large transformer models by shaping the energy landscape of associative memories without modifying weights or adding prompts, preserving memory capacity and outperforming LoRA.

Yann LeCun and co-authors published a paper arguing that the AI industry should abandon the goal of AGI, proposing instead Superhuman Adaptable Intelligence (SAI) focused on specialized adaptation beyond human capabilities.

Proposes FoLoRA, a forgetting-aware optimization framework for fine-tuning foundation models that balances task utility and forgetting penalty via generalized Rayleigh-quotient optimization, achieving better preservation of non-target capabilities.

SALSA introduces a lightweight adaptation method for speech-aware LLMs that learns layer-wise steering vectors via supervised objective, achieving significant improvements (up to 46.8% relative) on out-of-domain speech benchmarks, and shows that steering the encoder layers is more effective than modifying the LLM backbone.

Climate tech companies are pivoting to critical minerals as political support for climate causes wanes, with examples like Boston Metal raising funds for metals production and Brimstone emphasizing critical minerals alongside cement.

The article argues that as LLM-based AI becomes ubiquitous, language should adapt by creating new pronouns for AI, since neither human pronouns ('he/she') nor impersonal 'it' accurately reflect the unique relationship with language-capable non-human entities.

The author points out that when writing AI agent skills, one must consider compatibility across different platforms (such as Claude Code and Codex), similar to how frontend development needed to adapt for different browsers in the past.

PhysBrain 1.0 is a technical report presenting a method that uses human egocentric video to generate physical commonsense supervision for vision-language-action models, achieving state-of-the-art results on embodied control benchmarks including ERQA, PhysBench, SimplerEnv-WidowX, LIBERO, and RoboCasa.