GPT-5 is now more like us

Today, we’re looking at one of AI’s most unexpected breakthroughs: GPT-style models are now helping physicists design real experiments some of which no human would dare propose. It’s a strange twist in science, where the best new ideas might not come from people at all.

In today’s post:

• GPT-5 just got a personality update

• AI just made physics weird and smarter

• Big Law firms are starting to look the same

What’s Trending Today

Strategy

OpenAI made GPT-5 warmer without making it weirder

Since GPT-5 launched, some users have missed GPT-4o’s tone. Now OpenAI is tweaking the model to sound friendlier but not fake.

Here’s everything you need to know:

• OpenAI quietly rolled out a personality update to GPT-5, aiming for “warmer and friendlier.”

• The company admits GPT-5 was “too to-the-point,” and early feedback showed users preferred GPT-4o’s vibe.

• The new update includes subtle touches like “Good question” and “Great start” not over the top praise.

• OpenAI says internal testing showed no increase in sycophancy or flattery.

• This shift reflects growing awareness that tone matters just as much as accuracy in AI interactions.

• The update follows a bumpy launch that CEO Sam Altman acknowledged didn’t go as smoothly as hoped.

• OpenAI leaders are already trying to steer the conversation beyond GPT-5, hinting at what’s next.

AI isn’t just about being right anymore, it’s about being usable. These tweaks might seem minor, but tone shapes trust. And trust is everything when the product is supposed to think with you, not just for you.

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Research

AI is designing physics experiments no human ever would

LIGO is one of the most precise scientific instruments ever built. Now, AI is helping physicists make it even better by designing things no human would think to try.

Here’s everything you need to know:

• Rana Adhikari and his team used AI to redesign parts of LIGO, the gravitational wave detector.

• The AI created bizarre, asymmetrical configurations that initially looked like nonsense.

• But once understood, the designs showed a potential 10–15% sensitivity boost, huge in subatomic precision.

• In quantum optics, AI designed a simpler version of a famous entanglement experiment, using previously untried methods.

• Physicists are starting to think AI might be tapping into theories we’ve ignored or never even conceived.

• Other models are uncovering patterns in collider data and proposing new formulas for dark matter clumping.

• We’re not quite at “AI discovering new physics” but we might be closer than anyone thought.

We’re watching a new kind of creativity emerge, one that doesn’t care about elegance, just results. The challenge now isn’t building better machines, it’s learning to trust ideas we don’t understand.

Growth

As AI spreads, elite law firms risk becoming indistinguishable

Latham, Willkie, Kirkland names that once stood for distinct cultures and strategies.
Now, AI is pushing Big Law into sameness, and the competition at the top is getting brutal.

Here’s everything you need to know:

• Harvey AI has signed major players like Latham & Watkins and Willkie Farr, signaling widespread adoption of legal AI.

• As firms rush to integrate AI tools, their operational workflows, client services, and even internal structures are beginning to mirror one another.

• AI accelerates document production and research, but it also levels the playing field eroding competitive differentiation.

• Partners now fear a future where client value is measured solely by speed and efficiency, not strategic nuance.

• Firms that once grew by culture or niche expertise may face commoditization under AI standardization.

• In this homogenized market, only the most elite or most innovative firms may survive the squeeze.

• The long-term risk? Law becomes a product, not a profession and those at the margins get left behind.

AI in law isn’t just a tech upgrade, it’s a business model shift. When every firm uses the same tools, advantage comes not from adoption but from reinvention. The future of Big Law won’t be decided by who uses AI. It’ll be decided by who uses it differently.

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