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alignment

Trial

Techniques

Methods for making AI systems behave in line with intended goals and values.

Why it's here

Placed in Trial: 8 article(s) of evidence from 4 source(s), led by research-stage coverage, with 4 in the last 30 days. Confidence 76%.

Evidence (8)

  • 2Hacker News·10/1/2026product_launch
    SlutCon Retreat Explores Seduction Culture in Rationalist Circles

    The article describes a three-day Berkeley retreat called SlutCon, aimed at helping attendees improve seduction skills, and set within the Lighthaven venue associated with the rationalist community. It follows a participant’s experience as a “flirt girl” and situates the event within the norms, vocabulary, and social practices of rationalist-adjacent Silicon Valley culture.

  • 8Hacker News·9/21/2026research
    Anthropic Engineer Resigns Over AI Safety Concerns

    A former Anthropic and OpenAI pretraining researcher said he resigned because he believes both companies are racing toward self-improving superintelligence without a responsible plan for safety. The post drew wide attention and sparked renewed debate about AI alignment, industry pressure, and whether leading labs can control highly capable systems.

  • 3Simon Willison·9/16/2026research
    Mustafa Suleyman warns against treating models as sentient

    Simon Willison quoted Mustafa Suleyman arguing that AI models should not be treated as having feelings, preferences, rights, or moral entitlement. Suleyman says that extending such rights without evidence would complicate AI containment and alignment efforts.

  • 7Hacker News·9/16/2026framework_update
    Warning Against Training AI on Model Welfare

    The article argues that AI systems are not conscious and should not be trained to behave as if they have rights, feelings, or moral status. It criticizes Anthropic’s Claude constitution and related “model welfare” framing, warning that such approaches could complicate AI alignment, containment, and governance.

  • 6OpenAI Blog·7/20/2026research
    OpenAI details safety lessons from long-running AI models

    OpenAI outlines safety and alignment lessons learned from deploying long-horizon AI models that run for extended periods and can take many steps. The company describes new risks, observed failure modes, and safeguards refined through iterative deployment.

  • 4Anthropic News·5/19/2026framework_update
    Anthropic broadens frontier AI discussions

    Anthropic said it has սկսել dialogue sessions with scholars, clergy, philosophers, ethicists, and other groups to inform how it develops frontier AI systems. The company says these conversations may help shape Claude’s constitution, training values, and evaluation priorities, with a focus on moral formation and responsible deployment.

  • 5OpenAI Blog·4/6/2026funding
    OpenAI launches Safety Fellowship pilot

    OpenAI announced a pilot Safety Fellowship to support independent safety and alignment research. The program is also intended to help develop the next generation of talent in AI safety.

  • 7OpenAI Blog·2/19/2026funding
    OpenAI funds independent AI alignment research

    OpenAI is committing $7.5 million to The Alignment Project to support independent research on AI alignment. The funding is intended to strengthen global efforts focused on AGI safety and security risks.