ERICA LANSMAN

@buildyourcorner feels like Instagram in 2016 in the best possible way

@buildyourcorner feels like Instagram 2016 in the best possible way.

Back in NYC ✨ Reconnecting with friends and returning to your regular spots never gets old. My go-to NYC list after 10 years of living here: Art: Salon 94, Gagosian, David Zwirner, Hauser & Wirth Sushi: Domo Omakase, Nami Nori Restaurants: impossible to pick just one… Tucci, Maison Premiere, Rule of Thirds, Cecchi’s, Cosme, Via Carota, Qanoon, Cervo’s, Frenchette Sweet treats: Billy’s Bakery Chelsea (cupcakes + the Ice Box Cake), Culture Frozen Yogurt, Sant Ambroeus (Pink Princess Cake), Caffe Panna Bagel: Liberty Bagels Pizza: Motorino, Lucali, or Bleecker Street Pizza (for a slice) Croissant: La Bergamote (Chelsea), La Cabra Coffee: Devoción, Butler, Irving Farm (although I can’t lie… I’m a Blank Street girl) Breakfast catch-ups: Cafe Chelsea, Balthazar, Lafayette, Pastis, Fouquet’s, Empire Diner Wellness: SAINT, ID Hot Yoga NoMad, Yoga Space (Greenwich Village), Spencer’s Spa, The Altar, Great Jones Spa Drinks: Bar Pisellino, Apotheke (Chinatown), Le Dive, The Nines, Jean’s What have I missed? What’s new in NYC that I need to try? xx

love love 🥰

[Press Update]: CERN bids farewell to the LHC and enters Long Shutdown 3 Find out more: home.cern/cern-bids-fare…

Lewis Hamilton recently pointed to a mismatch between simulation and reality as a major factor behind a challenging race weekend. It's a problem every systems engineer recognizes: how do you simulate a system operating at the edge of chaos? In our latest blog, we explore how Unconventional AI builds digital twins that faithfully model hardware operating in these highly sensitive regimes, capturing the physical and numerical effects that can significantly influence real-world performance. Read the full post: unconv.ai/blog/system-mo…

As a huge @a24 fan, I’m not sure how I feel about this. Films, books, and art, developed pre-AI era will become extremely sought after. Creative tools have always evolved, this is nothing new, but at what cost? AI is simply a tool we’ve developed to access collective human intelligence. Part of what makes a creative process so special is the unique perspectives and worlds people can imagine. Curious how the creators partnering with DeepMind and A24 feel about this shift?

Nervous system reset 😌

What Wearables Still Miss About Women’s Health. @ericalansman/note/p-202510504?utm_source=notes-share-action&r=6pi4o" target="_blank" rel="nofollow noopener">substack.com/@ericalansman/…

We recently *quietly* launched the Reddit for women’s health. Same tribal knowledge approach we all seek for all things women’s health: IVF, birth control, wearables - except now with an expert women’s health moderator in every thread, with an answer actually based on clinical trial research. Check her out AskPetal.com/community

Agree 100%. Feels like one of the biggest missing pieces in AI right now is company memory. ‘Block Universe’ for company code? 😅 Today, context is scattered across code, Slack, Notion, Linear, Datadog, PostHog, support tickets, AWS, docs, and now AI chats. Every decision gets made somewhere. Every outcome gets recorded somewhere else. a company that builds a unified memory layer for all of it will be very important 🙏🏻 Once AI can access the complete history of a company, it stops being a chatbot and starts becoming infrastructure.

“What i’d love to see more of is people and companies having an opinion and guidance on what to do with AI beyond just a chat feature.” @nickaturley @OpenAI @ForerunnerVC Humans in the Loop ➰

sometimes I take this as as sign to touch grass.

This is why we built AskPetal.com. An intelligence layer for female physiology, regardless of the app, wearable, or platform, AskPetal gives women personalized daily guidance with their physiology in mind.

5. Recovery Score. Lower recovery = train less. Recovery algorithms rarely account for cycle phase. A woman may receive "red recovery" during luteal phase despite being perfectly healthy and capable of training appropriately for that phase.

What wearables miss when it comes to women's health, based on clinical trial research: (Most wearables measure physiology, but they don't understand why physiology changes across the menstrual cycle. So they flag normal hormonal adaptations as "poor recovery," "stress," or "underperformance."