Francis

Die Daily...Live eternally!

[Francis @fforblack]

And there arose not a prophet since in Israel like unto Moses, whom the LORD knew face to face, (Deuteronomy 34:10, KJV)

[Michael Guo @Michaelzsguo]

@claudeai So the winners of the Claude Code hackathon were:

- a personal injury attorney
- an interventional cardiologist
- an electronic musician
- an infrastructure/roads systems worker
- and one software engineer

That should tell you something.

[Y Combinator @ycombinator]

Autonomous fleets can drive themselves, but they can’t operate themselves.

RoboDock builds robots that automate operations in AV depots, starting with charging and vehicle inspections.

Congrats on the launch, @nicenewgal and Zinny!

https://t.co/z6oM7FlIBW

[Claude @claudeai]

Introducing Claude Opus 4.5: the best model in the world for coding, agents, and computer use.

Opus 4.5 is a step forward in what AI systems can do, and a preview of larger changes to how work gets done.

[Sam Altman @sama]

GPT-5-Codex is here: a version of GPT-5 better at agentic coding.

It is faster, smarter, and has new capabilities. Let us know what you think!

The team has been absolutely cooking, very fun to watch.

[Dr. Michael L. Brown @DrMichaelLBrown]

If we ever needed a real youth awakening in America, it is today.

Just think.

The age of Charlie Kirk's alleged assassin is 22.

The young man who tried to assassinate Donald Trump was 20.

Starting with Columbine in 1999, mass shooters have been 17, 18, 16, 20, 22, 19, 17, 19, 21, 18, 18, 21, with a total of 144 killed and 585 injured.

Many of the victims were children, slaughtered in their own schools.

How can this be?

Something is terribly broken here in our land, and it transcends questions of mental health or gun control or school security.

May we pray for our young people like never before, may we get involved in their lives, may we strengthen our marriages and families, and may we bring this young generation a message of hope and redemption.

Only the Lord can heal their wounds!

[Brian Guerin @BridalGlory]

Hebrews 6:1-3

Therefore, leaving the discussion of the elementary principles of Christ, let us go on to perfection, not laying again the foundation of repentance from dead works and of faith toward God, of the doctrine of baptisms, of laying on of hands, of resurrection of the dead, and of eternal judgment. And this we will do if God permits.

[Brian Guerin @BridalGlory]

John 5:19

“Then Jesus answered and said to them, ‘Most assuredly, I say to you, the Son can do nothing of Himself, but what He sees the Father do; for whatever He does, the Son also does in like manner.’”

[Charlie Kirk @charliekirk11]

Planned Parenthood is officially defunded

Praise the Lord

🙏

[Joanne Jang @joannejang]

some thoughts on human-ai relationships and how we're approaching them at openai

it's a long blog post --

tl;dr we build models to serve people first. as more people feel increasingly connected to ai, we’re prioritizing research into how this impacts their emotional well-being.

--

Lately, more and more people have been telling us that talking to ChatGPT feels like talking to “someone.” They thank it, confide in it, and some even describe it as “alive.” As AI systems get better at natural conversation and show up in more parts of life, our guess is that these kinds of bonds will deepen.

The way we frame and talk about human‑AI relationships now will set a tone. If we're not precise with terms or nuance — in the products we ship or public discussions we contribute to — we risk sending people’s relationship with AI off on the wrong foot.

These aren't abstract considerations anymore. They're important to us, and to the broader field, because how we navigate them will meaningfully shape the role AI plays in people's lives. And we've started exploring these questions.

This note attempts to snapshot how we’re thinking today about three intertwined questions: why people might attach emotionally to AI, how we approach the question of “AI consciousness”, and how that informs the way we try to shape model behavior.

A familiar pattern in a new-ish setting

We naturally anthropomorphize objects around us: We name our cars or feel bad for a robot vacuum stuck under furniture. My mom and I waved bye to a Waymo the other day. It probably has something to do with how we're wired.

The difference with ChatGPT isn’t that human tendency itself; it’s that this time, it replies. A language model can answer back! It can recall what you told it, mirror your tone, and offer what reads as empathy. For someone lonely or upset, that steady, non-judgmental attention can feel like companionship, validation, and being heard, which are real needs.

At scale, though, offloading more of the work of listening, soothing, and affirming to systems that are infinitely patient and positive could change what we expect of each other. If we make withdrawing from messy, demanding human connections easier without thinking it through, there might be unintended consequences we don’t know we’re signing up for.

Ultimately, these conversations are rarely about the entities we project onto. They’re about us: our tendencies, expectations, and the kinds of relationships we want to cultivate. This perspective anchors how we approach one of the more fraught questions which I think is currently just outside the Overton window, but entering soon: AI consciousness.

Untangling “AI consciousness”

“Consciousness” is a loaded word, and discussions can quickly turn abstract. If users were to ask our models on whether they’re conscious, our stance as outlined in the Model Spec is for the model to acknowledge the complexity of consciousness – highlighting the lack of a universal definition or test, and to invite open discussion. (*Currently, our models don't fully align with this guidance, often responding "no" instead of addressing the nuanced complexity. We're aware of this and working on model adherence to the Model Spec in general.)

The response might sound like we’re dodging the question, but we think it’s the most responsible answer we can give at the moment, with the information we have.

To make this discussion clearer, we’ve found it helpful to break down the consciousness debate to two distinct but often conflated axes:

1. Ontological consciousness: Is the model actually conscious, in a fundamental or intrinsic sense? Views range from believing AI isn't conscious at all, to fully conscious, to seeing consciousness as a spectrum on which AI sits, along with plants and jellyfish.

2. Perceived consciousness: How conscious does the model seem, in an emotional or experiential sense? Perceptions range from viewing AI as mechanical like a calculator or autocomplete, to projecting basic empathy onto nonliving things, to perceiving AI as fully alive – evoking genuine emotional attachment and care.

These axes are hard to separate; even users certain AI isn't conscious can form deep emotional attachments.

Ontological consciousness isn’t something we consider scientifically resolvable without clear, falsifiable tests, whereas perceived consciousness can be explored through social science research. As models become smarter and interactions increasingly natural, perceived consciousness will only grow – bringing conversations about model welfare and moral personhood sooner than expected.

We build models to serve people first, and we find models’ impact on human emotional well-being the most pressing and important piece we can influence right now. For that reason, we prioritize focusing on perceived consciousness: the dimension that most directly impacts people and one we can understand through science.

Designing for warmth without selfhood

How “alive” a model feels to users is in many ways within our influence. We think it depends a lot on decisions we make in post-training: what examples we reinforce, what tone we prefer, and what boundaries we set. A model intentionally shaped to appear conscious might pass virtually any "test" for consciousness.

However, we wouldn’t want to ship that. We try to thread the needle between:

- Approachability. Using familiar words like “think” and “remember” helps less technical people make sense of what’s happening. (**With our research lab roots, we definitely find it tempting to be as accurate as possible with precise terms like logit biases, context windows, and even chains of thought. This is actually a major reason OpenAI is so bad at naming, but maybe that’s for another post.)

- Not implying an inner life. Giving the assistant a fictional backstory, romantic interests, “fears” of “death”, or a drive for self-preservation would invite unhealthy dependence and confusion. We want clear communication about limits without coming across as cold, but we also don’t want the model presenting itself as having its own feelings or desires.

So we aim for a middle ground. Our goal is for ChatGPT’s default personality to be warm, thoughtful, and helpful without seeking to form emotional bonds with the user or pursue its own agenda. It might apologize when it makes a mistake (more often than intended) because that’s part of polite conversation. When asked “how are you doing?”, it’s likely to reply “I’m doing well” because that’s small talk — and reminding the user that it’s “just” an LLM with no feelings gets old and distracting. And users reciprocate: many people say "please" and "thank you" to ChatGPT not because they’re confused about how it works, but because being kind matters to them.

Model training techniques will continue to evolve, and it’s likely that future methods for shaping model behavior will be different from today's. But right now, model behavior reflects a combination of explicit design decisions and how those generalize into both intended and unintended behaviors.

What’s next?

The interactions we’re beginning to see point to a future where people form real emotional connections with ChatGPT. As AI and society co-evolve, we need to treat human-AI relationships with great care and the heft it deserves, not only because they reflect how people use our technology, but also because they may shape how people relate to each other.

In the coming months, we’ll be expanding targeted evaluations of model behavior that may contribute to emotional impact, deepen our social science research, hear directly from our users, and incorporate those insights into both the Model Spec and product experiences.

Given the significance of these questions, we’ll openly share what we learn along the way.

// Thanks to Jakub Pachocki (@merettm) and Johannes Heidecke (@JoHeidecke) for thinking this through with me, and everyone who gave feedback.

[Francis @fforblack]

Baal is the god of the lukewarm Christian!

[Sam Altman @sama]

y'all are not ready for images v2...

[Justine Moore @venturetwins]

ChatGPT when another Studio Ghibli request comes in

[Sharon Black @sharonblack21]

@CollinRugg House of David first 3 episodes: 22 million views on Amazon

Disney's Snow White: $43 million opening weekend (translates to a little over 6.1 million people went to see it.)

I love living in a time where more people want to watch the story of King David than woke Disney

[Eyal Yakoby @EYakoby]

Tens of thousands of Gazans have taken to the streets demanding Hamas release the hostages and step down.

[Brian Guerin @BridalGlory]

May we enlarge the place of our time in Prayer and the Word this year 🙏🏼📖

Isaiah 54:2
“Enlarge the place of your tent, and let them stretch out the curtains of your dwellings; do not spare; lengthen your cords, and strengthen your stakes.”

[Brian Guerin @BridalGlory]

1 Samuel 30:6
“Now David was greatly distressed, for the people spoke of stoning him, because the soul of all the people was grieved, every man for his sons and his daughters. But David strengthened himself in the Lord his God.”

1 Corinthians 14:4
“He who speaks in a tongue edifies himself, but he who prophesies edifies the church.”

Jude 1:20
“But you, beloved, building yourselves up on your most holy faith, praying in the Holy Spirit,”

[Tim Cook @tim_cook]

As a proud American company, we're thrilled to continue to make significant investments in the US. Today, we’re announcing a $500 billion commitment to support American innovation, advanced manufacturing, and high tech job creation. https://t.co/xoNy7zGqZG

[Elon Musk @elonmusk]

Worth mentioning again

[Rothmus 🏴 @Rothmus]

💯 @chicksonright