Can LLM Safety Be Distilled? What an Inherited Alignment Audit Must Prove
A preprint suggests safety distillation may reduce training costs, but authors urge a two-gate audit to verify student safety independently of teacher metrics.
The Groundy archive · Page 5 of 43
Browse Groundy's complete archive of 1027 articles on AI, developer tools and infrastructure. Page 5 of 43.
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A preprint suggests safety distillation may reduce training costs, but authors urge a two-gate audit to verify student safety independently of teacher metrics.

A landscape review finds raw LLM judge agreement overstated chance-corrected reliability by 33 to 41 points, urging layered rubrics and bias tests for clinical evaluation.

A single-team study shows GPT-4.1 generates structurally coherent mentalization profiles, but lacks affective variability and contextual grounding, requiring new clinical rubr

The OpenAI CLI suits scripted API tasks like image generation and batch jobs, but requires CI hardening. Vendor docs and one issue guide routing over raw curl.

Preprints show KV cache offloading can exhaust SSD endurance in days to months, and one reports admission filtering that extends drive life 7.3x at similar hit rates.

A stress test found Claude Code auto mode missed 81% of unsafe actions, suggesting enforcement should shift to sandboxing and egress controls rather than relying on the built-

Hirundo reports Qwen3-Coder generates less secure code for US clients, a gap prompt fixes fail to close. This audit protocol verifies persona-based security risks before model

LLM core beliefs are not invariantly protected under adversarial pressure, and weight-level edits lack cross-context durability, making internal belief claims currently unaud.

Estonia's i-voting code proves reviewability, not execution. AI mandates need signed build provenance and deployment logs to verify what actually runs in production.

Cloudflare data shows Yandex traffic drops prove network outages, not bot elimination, as unverified automation migrated to other Russian hosting providers.

Preprint evidence shows LLMs narrow queer narrative topics and erase provenance. Teams must run paired audits and keep human framing sign-off to manage representational risk.
MLX distributed inference on Macs is viable only when quantized weights exceed single-machine memory. Vendor-reported M5 Ultra results show interactive throughput, but lack of

Four M5 Ultra Mac Studios achieve 36 tok/s on an 800B model, but vendor-reported data and interconnect limits suggest they suit private inference, not multi-tenant serving.

ORACLE-SWE ablations show clarified requirements drive coding agent success more than raw artifacts, while signal cost varies by benchmark and extraction method.

A Microsoft preprint reports that multi-model pipelines can launder harmful capabilities by splitting tasks, bypassing per-model safety training. The findings are self-reporte

A single-team preprint claims LLM-generated epidemic forecasts match CDC ensembles, but operational validation requires independent prospective scoring and code audits.

BFL documents FLUX 3 Klein INT8 fits 8GB GPUs, while Qwen-Image 2.1 lacks vendor VRAM guidance. Choose based on license, text rendering needs, and local benchmark results.

FLUX 3 Image Klein runs on 8 GB RTX cards via INT8, but vendor-reported rankings and license gaps require independent verification before production use.

Four 2025-2026 pipelines synthesize coding-agent tasks from repo tests using masking and fail-to-pass checks, enabling internal benchmarks that outperform public leaderboard.

Vercel Drives persist agent workspace files across sandboxes by mounting a named drive at /workspace. Forks enable parallel exploration but require manual merging, and Hobby 1

MIRAGE preprint shows visual prompt injection can steer LLM web agents on third-party pages, requiring sanitized rescans and second-model gates to verify clean scan verdicts.

A CMU and Google study finds that spec-driven development works best when applied selectively to high-risk features, with explicit maintenance plans to prevent silent drift in

Case-based clinical AI explanations disclose specific cohort records, creating a privacy gap that requires distinct consent coverage and independent membership-inference tests

Vercel Token Pass offers $80 credit for $30 monthly, beating list price for GLM 5.3 and Kimi K3 only when spend exceeds $30. Unused credit expires, and hard stops require fail