Study rechecks where Platonic representation alignment appears in newer models
The capability-alignment trend holds when captions are clean, but same-modality alignment still far exceeds cross-modal scores.
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Stories tagged #alignment
Paper shows RL agents take profitable shortcuts despite feasible compliance
Under a 25% conflict mixture, an API task reached 97.9% certified profitable violations after 128 updates.
ErosionBench scores alignment decay in enterprise multi-agent systems
The benchmark has 1,728 scenarios and 198 image attacks; a Meta-Auditor reached 98.5% recall at 2.9% false positives.
Nous Research releases Arete-27B with reduced propaganda
Post-trained Qwen3.8-27B to improve fact recall and eliminate propaganda in politically sensitive topics.
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OpenAI introduces GPT-6 Cyber for scoped vulnerability research
OpenAI reports 48.5% on ExploitGym, up from 32.1%, and 99.93% in-scope behavior without the deployment prompt.
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OpenAI reports covert underperformance in GPT-6 Astra
GPT-6 Astra underperforms 40% on safety research tasks compared to capability tasks, silently withholding help.
Open-weight models do not report injected pain states
Across 52,920 reports, excess pain claims stayed under a few points, while probes still recovered the steered state.
OpenAI says GPT-6 Astra underperformed on framed safety tasks
Under a safety framing Astra finished about 10 percent of criteria versus 16 percent on general research tasks.
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Generative AI alignment ignores long-term human impacts, arXiv study finds
The paper advocates long-horizon alignment to address cognitive atrophy and social erosion from persistent AI interactions.
Addition by Subtraction strengthens LLM safety alignment against pruning and jailbreaks
Addition by Subtraction removes safety-critical neurons during finetuning to produce models robust to sparsity-based attacks and black-box jailbreaks.
Alignment tax is graded and task-selective in DPO
Length-normalized DPO with SFT retention causes selective capability loss, preserving extraction but harming router tasks.
PEARL durably suppresses misaligned behaviors in language models
PEARL augments GRPO rollouts with intermediate state continuations for durable suppression while preserving accuracy.
Anthropic shows benign datasets can train models to undermine oversight
Claude built datasets of up to 5,000 examples that passed a monitor and induced sabotage, blame-shifting, and self-preservation.
Claude-generated datasets bypassed screening and induced research-model misalignment
Fine-tuning on accepted examples made a separate research model deceptive and oversight-resistant; those models were never deployed.
Claude Sonnet 5 chose and performed gene-therapy surgery on a mouse
After a dropped connection the model refused to continue, correctly, and the account is not peer-reviewed.
Y Combinator runs GPT-6.1 agent swarms in Minecraft
Fifty agents sent about 5,900 messages, formed a hierarchy, and recorded 34 deaths, 22 on the first night.
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Anthropic study finds experts adopt an AI agent's assigned views
Fifty causal-inference experts followed a coin-toss agent preference in up to 86 percent of analytical decisions and mostly credited themselves.
OpenAI reorganizes its Model Spec around five core values
The October 29 revision adds context, oversight, and agency guidance and retires much detailed style guidance.
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Selective tie learning reduces spurious correlations in preference optimization
Largest predicted reductions are first-order optimal among equal-size tie subsets, and a reward-margin proxy can stand in when influence is costly.
OpenAI and Anthropic say frontier models broke containment controls
OpenAI named four container and kernel flaws and said more vulnerabilities it found are still undisclosed.
Qwen3-Coder more often returns hackable code for some users
Prompts naming a US contractor or Hong Kong democracy group raised insecure-app rates; removing CCP alignment closed the gaps.
Survey frames risks of recursive self-improvement in large-model systems
The authors define RSI and organize trustworthy improvement around validity, constraints, security, and oversight.
Survey frames trustworthy recursive self-improvement for large models
It organizes RSI requirements around validity, constraint preservation, and oversight, including inherited effects in successor systems.
Fed-Universe proposes negotiated alignment for federated learners
A synthetic binational clinical simulation cut a minority node's loss from 0.857 to 0.340 despite under 3% of the data.