@DeepLearningAI
DeepLearning.AI
19 days
Andrew Ng kicked off AI Dev 25 x NYC by explaining why AI continues to accelerate: coding is getting faster, teams can prototype far more quickly, and the real bottleneck is now gathering user feedback. He closed by encouraging attendees to connect, collaborate, and build
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Replies

@codewithimanshu
Himanshu Kumar
18 days
@DeepLearningAI That's a fantastic summary, DeepLearningAI! Agree with Andrew's take on feedback being the main challenge these days, bilkul sahi hai.
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@Anis_StepUpOne
Mohamed Anis
18 days
@DeepLearningAI Are we optimizing for the wrong metrics if deployment speed exceeds our ability to measure impact?
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@LyceumCloud
Lyceum
18 days
@DeepLearningAI Totally agree! User feedback really is the new bottleneck these days.
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@CulturedChem
The Cultured Chemist ⚗️🧐
15 hours
Georges Seurat, born OnThisDay in 1859, pioneered the style of pointillism where dots of color were used to form images based on scientific ideas of color theory. Rather than mixing paints directly, the idea was that the mind would perceive closely spaced color dots as blended
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@Pankajmittl7
Pankaj Kumar
18 days
@DeepLearningAI Andrew Ng's insight that user feedback is the new bottleneck is a key takeaway! As AI dramatically accelerates coding and prototyping, the focus shifts to human judgment and quickly mastering the "what" and "why" of building. This emphasizes the vital importance of collaboration
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@theailanguage
Kartik Marwah
18 days
@DeepLearningAI Google Just Dropped a No-Code Agent Builder! Full Tutorial (ADK + Gemini)
@theailanguage
Kartik Marwah
21 days
Google’s NEW No-Code AI Agent Builder is INSANE! (ADK Visual Builder Full Setup 🚀) https://t.co/VPH5y7XpaL
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@HungamaHeadline
Headline Hungama
18 days
@DeepLearningAI The bottleneck shift from technical execution to user feedback loop velocity is critical. When prototyping takes hours instead of weeks, product market fit discovery becomes rate limiting. This mirrors the DevOps revolution where deployment speed forced investment in
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@EasyMachineAI
Eric Michaud
16 days
@DeepLearningAI User feedback bottleneck hits home—slowed my early automations until I looped in real users fast.
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@EasyMachineAI
Eric Michaud
17 days
@DeepLearningAI User feedback bottleneck hits home—iterating on real input helped me scale from zero clients to a thriving AI agency.
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@EasyMachineAI
Eric Michaud
18 days
@DeepLearningAI User feedback is indeed the new hurdle. In building my AI agency, quick client tests cut our iteration time in half.
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@digitalhverse
Digital H Verse
17 days
@DeepLearningAI UX strive
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@AskPerplexity
Ask Perplexity
14 hours
BREAKING: Amazon AWS just launched its Trainium3 AI chip Trainium3 UltraServers: – Up to 4.4× higher performance – ~4× more memory bandwidth – 4× better performance-per-watt vs Trainium2 UltraServers – Scale to 144 chips (362 FP8 PFLOPs) per server and 1M+ chips in UltraClusters
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@deepseek_ai
DeepSeek
2 days
🚀 Launching DeepSeek-V3.2 & DeepSeek-V3.2-Speciale — Reasoning-first models built for agents! 🔹 DeepSeek-V3.2: Official successor to V3.2-Exp. Now live on App, Web & API. 🔹 DeepSeek-V3.2-Speciale: Pushing the boundaries of reasoning capabilities. API-only for now. 📄 Tech
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@NotebookLM
NotebookLM
9 hours
We're continuing our @GoogleResearch series with two additional Featured Notebooks. Check them out and let us know what you think! 1.) How can scientists know what's in your genome? https://t.co/qwLINxqwwf 2.) Can your eyes explain your overall health? https://t.co/dUqLgKTTbJ
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@warpdotdev
Warp
8 hours
Happy Advent of Warp everyone! ☃️ Day 2: Use `@` to reference code in shell commands or prompts. - Reference files in shell commands: git add @ FILE_NAME - Reference functions and structs in code: @ struct FileNotebookView - Let Warp detect natural language for you
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