co-founder/Builder in chief @NameShouts | Seeking Kaizen (she/hers)
Everywhere
Joined June 2010
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Not surprised. Almost too predictable.
My relationship with Apple products is weird. I think they’re a tad overrated, and Android phones are usually more innovative.
Also, I’m probably going to buy this one anyway. 🙃
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Naureen A retweeted
The first AI to quantify coronary artery inflammation was approved by the FDA yesterday @CaristoHeart
This is an important step forward for preventing heart disease that I've written about
erictopol.substack.com/p/the…
Naureen A retweeted
🔥🚨LATEST: Canadian engineer John Tse is going viral after revealing his umbrella that follows him around as if he is in a futuristic movie. Tse created a fully autonomous umbrella that will assist people that need both of their hands while providing cover.
Naureen A retweeted
“Someone else already tried”, “a lot of people are probably working on it already”, etc., are bad reasons not to do something
Naureen A retweeted
NASA is sending humans to fly around the Moon—and you can watch! 🚀
Live coverage of Artemis II begins today. Full schedule: go.nasa.gov/4dekJwq
For the latest updates on Artemis II, follow @NASA and @NASAArtemis.
ALT Artemis II crew members walking out of the astronaut crew quarters. There are four astronauts wearing bright orange suits smiling and waving at the camera. Credit: NASA/KimShiflett
Naureen A retweeted
Transforming translation with AI starts with superior quality and accuracy. It's when you start building on this foundation that things get really exciting.
Our new report, “Borderless Business: Transforming translation in the age of AI” reveals how breakthrough innovations and end-to-end solutions are reimagining what AI can do for language: dee.pl/qq5bb
#BorderlessBusiness #AITranslation #LanguageSolved
Interesting but theoretically with enough iterations agents should be able to figure it out?
Also, what we are really missing are code quality benchmarks that agents could iterate toward?
These are real problems but not unsolvable ones, but I guess only time will tell.
🤯BREAKING: Alibaba just proved that AI Coding isn't taking your job, it's just writing the legacy code that will keep you employed fixing it for the next decade. 🤣
Passing a coding test once is easy. Maintaining that code for 8 months without it exploding? Apparently, it’s nearly impossible for AI.
Alibaba tested 18 AI agents on 100 real codebases over 233-day cycles. They didn't just look for "quick fixes"—they looked for long-term survival.
The results were a bloodbath:
75% of models broke previously working code during maintenance.
Only Claude Opus 4.5/4.6 maintained a >50% zero-regression rate.
Every other model accumulated technical debt that compounded until the codebase collapsed.
We’ve been using "snapshot" benchmarks like HumanEval that only ask "Does it work right now?"
The new SWE-CI benchmark asks: "Does it still work after 8 months of evolution?"
Most AI agents are "Quick-Fix Artists." They write brittle code that passes tests today but becomes a maintenance nightmare tomorrow. They aren't building software; they're building a house of cards.
The narrative just got honest: Most models can write code. Almost none can maintain it.
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Naureen A retweeted
We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.
Naureen A retweeted
I love this metaphor from Terence Tao—widely considered the world’s greatest living mathematician—about one of the drawbacks of using AI to solve hard math problems. theatlantic.com/technology/2…
Wondering if people who say these actually write code anymore.
I love AI/AI agents as the next person but coding is also just one aspect of writing great software.
On my timeline:
- “Engineers haven’t written code in 3 months.”
- “SaaS apocalypse.”
- “PMs are obsolete.”
- “If you’re not running 10 coding agents in parallel, you’re ngmi.”
- Crab costumes
In our repo:
- “You are absolutely right!!! Great catch!!!”
- Agent deletes half the file and rewrites it right away.
- Hallucinated API endpoints.
- 47 new tests. 2 are actually testing something non-superficial.
- README .md
README_SUMMARY .md
FINAL_SUMMARY_V2_ACTUAL_FINAL .md
Goal Architect.
But in the meantime…
Senior Slop Janitor.
If you feel that tension, we’re hiring builders in NYC.
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Kind of excited to see democratization of software. ☺️
Cardiologist wins 3rd place at Anthropic's hackathon. Out of 13,000 applications. Built in 7 days by Michał Nedoszytko MD. Coded day and night - in the hospital, in the cloud, while flying from Brussels to San Francisco.
A few years ago, it would have been impossible for a doctor to build this alone in just a couple of days. AI changed that.
The project is called postvisit.ai. It is an AI agentic care platform for patients. Including reverse AI scribe it is a companion that guides the patient from the moment they leave the doctor's office.
Powered by the massive context window of Opus 4.6, it allows patients to explore their full medical history, connected devices, Evidence Based resources and external data sources — all in one place.
Today, the barrier to entry has vanished; even a practicing physician can build an application from scratch.
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This is very cool. Although kind of surprised that we don't already have this.
Translation services are now common on phones, but another language barrier is being broken with Google Meet’s new real-time tools, revealed at #GoogleIO.
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