NASA is sending humans to fly around the Moon—and you can watch! 🚀
Live coverage of Artemis II begins today. Full schedule: https://t.co/7r0yJpgGcy
For the latest updates on Artemis II, follow @NASA and @NASAArtemis.
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: https://t.co/CHSAxlYCgY
#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.
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.
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. https://t.co/qOVNhfa2cC
I'm building a node-based tool that turns any SVG into animated SVGs using Gemini 3.1 Pro
it preserves the original aesthetics and the results are insane
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.
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 https://t.co/wAliajqjVF. 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.
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.
Today we’re introducing near real-time speech translation in Google Meet. Thanks to research advances, people can now have natural, free-flowing conversations — while speaking different languages. 🗣️
.@swyx says some AI agents have learned to "sleep."
They compress memories and enter deep REM mode to form long-term memory. Turns out, artificial minds need rest too.
Happy #IWD2024. This year’s theme is #InspireInclusion, a core value here at NameShouts.
“IWD belongs to everyone, everywhere. Inclusion means all IWD action is valid.”
Learn more about IWD2024 at the link below.
https://t.co/dFPWRNwhdg
Before we hit the new year, we want to share a milestone that put a smile on our face this holiday season.
You searched over 1 million names on NameShouts in 2023.
We're so grateful for you, our users. And we can't wait to keep it going in 2024.
Happy New Year from NameShouts!