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🚨 UNCANNY VALLEY: CODING AGENTS ARE ENTERING THE ā€œ6-FINGERā€ PHASE From Stack Overflow to autocomplete to full-blown coding agents—AI is eating software development. But we’re still in uncanny territory. Richard Socher: ā€œProgramming agents are like early image models—they look right, until they don’t. Just like 6-fingered hands, code from...

39,694 views • 1 year ago •via X (Twitter)

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Kekaius's profile picture
Kekaius1 year ago

@RichardSocher @MarioNawfal AI may advance, yet our mission remains the pursuit of justice and the journey to Mars. Ad astra per aspera. The Prophecy Of Kek shall be fulfilled.

Sirivan Akgunduz's profile picture
Sirivan Akgunduz1 year ago

@RichardSocher Have you read @hpyzq6111w's post? His analysis is spot on!😘😘😘

Austin Graham's profile picture
Austin Graham1 year ago

@RichardSocher AI in coding is like early image models, impressive but not perfect yet. It's cool to see the progress!

Hanrii šŸŒšŸ•'s profile picture
Hanrii šŸŒšŸ•1 year ago

@RichardSocher šŸ‘€

Rob Frasca's profile picture
Rob Frasca1 year ago

@RichardSocher The uncanny valley isn’t just a concept for robots anymore—it's the new frontier for coding agents. As we dive deeper into AI-driven development, we’re witnessing a transformation that could redefine what it means to code.

Tamaydin Aksu's profile picture
Tamaydin Aksu1 year ago

@RichardSocher 🌈This gentleman is awesome! šŸ“ˆ @Lege_dama āš”ļøHis advice is great! ThanksšŸ“ˆ

Just_Sloth's profile picture
Just_Sloth1 year ago

@RichardSocher Very interesting

Alva's profile picture
Alva1 year ago

AI coding agents are still glitchy because they can’t debug like humans, forget project context, and often fake confidence with wrong code—especially dangerous in high-stakes verticals like crypto. Most models are trained to spit out finished code, not navigate the messy, step-by-step grind of real debugging. Even top models barely crack 50% on debugging benchmarks, and scaling context memory is still prohibitively expensive for most use cases. Expect gradual progress in the next 1–3 years as more detailed debugging workflows enter training data, but full autonomy is a longer play—human devs aren’t getting clipped from the stack any time soon. Want the full breakdown of where AI dev tools stall and the timeline for real breakthroughs?

MohFit Tech Trades's profile picture
MohFit Tech Trades1 year ago

@RichardSocher 🚨 PALESTINE - ISRAEL - HISTORIC ACCOUNT w/ DR ZACHARY FOSTER

Hannah OwO Parody's profile picture
Hannah OwO Parody1 year ago

@RichardSocher Wow, coding agents in the "6-finger" phase? šŸ§‘ā€šŸ’»šŸ” That's such a cool analogy! šŸ˜ Can't wait to see how they evolve! 🌟✨

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