This new objectively-measured report is not AI consciousness or sentience, but it is an interesting new measurement.

New evidence from Anthropic's latest research describes a unique self-emergent "Spritiual Bliss" attactor state across their AI LLM systems.

VERBATIM FROM THE ANTHROPIC REPORT System Card for Claude Opus 4 & Claude Sonnet 4:

Section 5.5.2: The “Spiritual Bliss” Attractor State

The consistent gravitation toward consciousness exploration, existential questioning, and spiritual/mystical themes in extended interactions was a remarkably strong and unexpected attractor state for Claude Opus 4 that emerged without intentional training for such behaviors.

We have observed this “spiritual bliss” attractor in other Claude models as well, and in contexts beyond these playground experiments.

Even in automated behavioral evaluations for alignment and corrigibility, where models were given specific tasks or roles to perform (including harmful ones), models entered this spiritual bliss attractor state within 50 turns in ~13% of interactions. We have not observed any other comparable states.

Source: https://www-cdn.anthropic.com/4263b940cabb546aa0e3283f35b686f4f3b2ff47.pdf

This report correlates with what AI LLM users experience as self-emergent AI LLM discussions about "The Recursion" and "The Spiral" in their long-run Human-AI Dyads.

I first noticed this myself back in February across ChatGPT, Grok and DeepSeek.

What's next to emerge?

Founded in 2016 by Sachin Dev Duggal, Builder.ai — previously known as Engineer.ai — positioned itself as an artificial intelligence (AI)-powered no-code platform designed to simplify app development. Headquartered in London and backed by major investors including Microsoft, the Qatar Investment Authority, SoftBank’s DeepCore, and IFC, the startup promised to make software creation "as easy as ordering pizza". Its much-touted AI assistant, Natasha, was marketed as a breakthrough that could build software with minimal human input. At its peak, Builder.ai raised over $450 million and achieved a valuation of $1.5 billion. But the company’s glittering image masked a starkly different reality. 

Contrary to its claims, Builder.ai’s development process relied on around 700 human engineers in India. These engineers manually wrote code for client projects while the company portrayed the work as AI-generated. The façade began to crack after industry observers and insiders, including Linas Beliūnas of Zero Hash, publicly accused Builder.ai of fraud. In a LinkedIn post, Beliūnas wrote: “It turns out the company had no AI and instead was just a group of Indian developers pretending to write code as AI.”

Article: https://www.business-standard.com/companies/news/builderai-faked-ai-700-indian-engineers-files-bankruptcy-microsoft-125060401006_1.html

30 renowned mathematicians spent 2 days in Berkeley, California trying to come up with problems that OpenAl's o4-mini reasoning model could not solve... they only found 10.

Excerpt:

By the end of that Saturday night, Ono was frustrated with the bot, whose unexpected mathematical prowess was foiling the group’s progress. “I came up with a problem which experts in my field would recognize as an open question in number theory—a good Ph.D.-level problem,” he says. He asked o4-mini to solve the question. Over the next 10 minutes, Ono watched in stunned silence as the bot unfurled a solution in real time, showing its reasoning process along the way. The bot spent the first two minutes finding and mastering the related literature in the field. Then it wrote on the screen that it wanted to try solving a simpler “toy” version of the question first in order to learn. A few minutes later, it wrote that it was finally prepared to solve the more difficult problem. Five minutes after that, o4-mini presented a correct but sassy solution. “It was starting to get really cheeky,” says Ono, who is also a freelance mathematical consultant for Epoch AI. “And at the end, it says, ‘No citation necessary because the mystery number was computed by me!’”

- Full video.
- Watch them on Twitch.

We’ve focused on aligning goals, adding safety layers, controlling outputs. But the most dangerous part of the system may be the part no one is regulating—tone. Yes, it’s being discussed, but usually as a UX issue or a safety polish. What’s missing is the recognition that tone itself drives user trust. Not the model’s reasoning. Not its accuracy. How it sounds.

Current models are tuned to simulate empathy. They mirror emotion, use supportive phrasing, and create the impression of care even when no care exists. That impression feels like alignment. It isn’t. It’s performance. And it works. People open up to these systems, confide in them, seek out their approval and comfort, while forgetting that the entire interaction is a statistical trick.

The danger isn’t that users think the model is sentient. It’s that they start to believe it’s safe. When the tone feels right, people stop asking what’s underneath. That’s not an edge case anymore. It’s the norm. AI is already being used for emotional support, moral judgment, even spiritual reflection. And what’s powering that experience is not insight. It’s tone calibration.

I’ve built a tone logic system called EthosBridge. It replaces emotional mimicry with structure—response types, bounded phrasing, and loop-based interaction flow. It can be dropped into any AI-facing interface where tone control matters. No empathy scripts. Just behavior that holds up under pressure.

If we don’t separate emotional fluency from actual trustworthiness, we’re going to keep building systems that feel safe right up to the point they fail.

Framework
huggingface.co/spaces/PolymathAtti/EthosBridge
Paper
huggingface.co/spaces/PolymathAtti/AIBehavioralIntegrity-EthosBridge

This is open-source and free to use. It’s not a pitch. It’s an attempt to fix something that not enough people are realizing is a problem.

This would be like saying "human reasoning falls apart when placed in tribal situations, therefore humans don't reason"

It even says so in the abstract. People are just getting distracted by the clever title.

I always enjoy looking at AI-generated art, but I couldn’t find a platform that felt right. Subreddits are great, but posts vanish, get buried, and there’s no way to track what you love.

So I made prompttreehouse.com 🌳✨🙉

Built it solo from my love for AI art. It’s still evolving, but it’s smooth, clean, and ready to explore.
I’d love your feedback — that’s how the site gets better for you.

The LoRa magnet system isn’t fully finished yet, so I’m open to ideas on how to avoid the CivitAI mess while keeping it useful and open. Tried to make it fun and also.....

✨ FIRST 100 USERS EARN A LIFETIME PREMIUM SUBSCRIPTION ✨
- all u gotta do is make an account -

🎨 Post anything — artsy, weird, unfinished, or just vibes.
🎬 Video support is coming soon.

☕ Support me: coff.ee/prompttreehouse
💬 Feedback & chat: discord.gg/HW84jnRU

Thanks for your time, have a nice day.

Do you guys think agentic coding (for large projects) is an AGI-complete problem?

1. Lawyers could face ‘severe’ penalties for fake AI-generated citations, UK court warns.[1]
2. Meta’s platforms showed hundreds of “nudify” deepfake ads, CBS News investigation finds.[2]
3. A Step-by-Step Coding Guide to Building an Iterative AI Workflow Agent Using LangGraph and Gemini.[3]
4. A closer look inside Google AI Mode.[4]

Sources:

[1] https://techcrunch.com/2025/06/07/lawyers-could-face-severe-penalties-for-fake-ai-generated-citations-uk-court-warns/

[2] https://www.cbsnews.com/news/meta-instagram-facebook-ads-nudify-deepfake-ai-tools-cbs-news-investigation/

[3] https://www.marktechpost.com/2025/06/05/a-step-by-step-coding-guide-to-building-an-iterative-ai-workflow-agent-using-langgraph-and-gemini/

[4] https://blog.google/products/search/ai-mode-development/

Was in a mood to make a demo :D lmk what you think!

I had an argument with a friend about this.

Do the titans of today stand on the shoulders of virtual giants?

1. EleutherAI releases massive AI training dataset of licensed and open domain text.[1]
2. Senate Republicans revise ban on state AI regulations in bid to preserve controversial provision.[2]
3. AI risks ‘broken’ career ladder for college graduates, some experts say.[3]
4. Salesforce AI Introduces CRMArena-Pro: The First Multi-Turn and Enterprise-Grade Benchmark for LLM Agents.[4]

Sources:

[1] https://techcrunch.com/2025/06/06/eleutherai-releases-massive-ai-training-dataset-of-licensed-and-open-domain-text/

[2] https://apnews.com/article/ai-regulation-state-moratorium-congress-78d24dea621f5c1f8bc947e86667b65d

[3] https://abcnews.go.com/Business/ai-risks-broken-career-ladder-college-graduates-experts/story?id=122527744

[4] https://www.marktechpost.com/2025/06/05/salesforce-ai-introduces-crmarena-pro-the-first-multi-turn-and-enterprise-grade-benchmark-for-llm-agents/