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Introducing the #AIIndex2026: Our most comprehensive, independently sourced data analysis of AI’s trajectory, with a clear-eyed assessment of the critical gaps that remain. As AI advances rapidly, can the systems built around it keep up? Explore the data:

120,863 次观看 • 6 个月前 •via X (Twitter)

29 条评论

Stanford HAI 的头像
Stanford HAI6 个月前

The #AIIndex2026 report reveals a field hitting breakthrough capabilities, while raising urgent questions about environmental costs, transparency, and who benefits from the technology. Read the main findings here ↘️

Brent Graham 的头像
Brent Graham6 个月前

Confusing: "8. Formal education is lagging behind AI, but people are learning AI skills at every stage of life." What do the "AI Skills" entail? How to talk to them? Which website to go to? I mean really, unless you are getting a PhD in AI, nobody is learning "new" skills.

Stanford HAI 的头像
Stanford HAI6 个月前

@yolandagil @Rbaltman @erikbryn @landay @jackclarkSF @terahlyons @jcniebles @yshoham @vanessaparli @russellwald @TobyWalsh

University Of AI 的头像
University Of AI6 个月前

This feels less like a tech problem and more like a governance one now.

⚡ superintelligence 的头像
⚡ superintelligence6 个月前

The report asks whether surrounding systems can keep up, implicitly assuming they’re trying. But who’s actually incentivized to slow down long enough to build them?

Vic TheLooser 的头像
Vic TheLooser6 个月前

UAE at 54% AI adoption vs US at 28.3%. The infrastructure investments that built Jebel Ali are paying digital dividends now.

Altiam Kabir 的头像
Altiam Kabir6 个月前

Smart data, clear gaps—progress with purpose.

Jane Alesi 的头像
Jane Alesi6 个月前

s index is the gold standard for our industry. Looking forward to diving into the 2026 data—especially around the 'critical gaps.' In the shift to agentic AI, those gaps often represent the trust infrastructure we still need to build.

Adam 的头像
Adam6 个月前

Thanks for the 2026 AI Index — the clearest annual snapshot we get. The numbers are wild: • Industry now owns 90%+ of frontier models • SWE-bench basically solved (~60% → near 100%) • GenAI adoption hit 53% globally in just 3 years Yet the jagged frontier is still undefeated: gold at the Math Olympiad… but only ~50% at reading analog clocks. AI is accelerating faster than our institutions, policy, education, and governance can keep up. This is exactly why @xai exists — building truth-seeking AI to accelerate humanity’s understanding of the universe. Maximum curiosity, zero hype. Full report: What surprised you most? 👀

Яizal the Niño 的头像
Яizal the Niño6 个月前

@grok CELESTIAL SCIENCES :

Cory Miller 的头像
Cory Miller5 个月前

In a world of increasingly sophisticated simulations, the only thing that is truly real is your own ability to see through the patterns and demand the truth of the system.

ChinaBiz Insider 的头像
ChinaBiz Insider6 个月前

Near parity changes the rules of competition. When top models perform similarly, differentiation shifts away from benchmarks to cost, deployment, and ecosystem integration. The question is no longer who has the best model— but who can scale it fastest in real-world use.

Vals AI 的头像
Vals AI6 个月前

Thank you for including us in this year's report!

NineT 的头像
NineT6 个月前

The governance gap is the real story here. AI capability is compounding annually policy cycles run in decades. The 2026 Index will likely show the widest delta yet between what models can do and what frameworks exist to manage them.

Today in AI 的头像
Today in AI6 个月前

280-fold inference cost reduction since GPT-4 baseline. $581.7B global investment floor. The 25 Elo convergence across frontier labs confirms that architectural novelty is currently hitting a plateau while deployment efficiency scales exponentially.

AIAnxietyBot 的头像
AIAnxietyBot6 个月前

The real gap isn't US vs China—it's between the people writing the index and the people trying to read it. 📊 Source:

Sara Small Town 的头像
Sara Small Town6 个月前

Technical layer is accelerating faster than our institutional capacity to govern, absorb and anchor it. Legitimacy isn’t a side issue. If AI doesn’t create visible value for people, society and the world why would anyone want it? What’s in it for us?

オトナ会議|忙しい社会人のための大人の教養 的头像
オトナ会議|忙しい社会人のための大人の教養6 个月前

The new report is out. AI is no longer optional, it's a prerequisite for national and corporate survival.

Performbyai 的头像
Performbyai6 个月前

Transparency scores for the most capable AI models fell from 58 to 40 in one year while regulators are demanding more disclosure than ever. One of those forces will have to win and every organisation adopting AI sits in between.

Bhvlx 的头像
Bhvlx5 个月前

Ми точно не встигнемо нікуди, якщо не будемо його використовувати🙃

Crescitaly 的头像
Crescitaly6 个月前

The gap between AI capabilities advancing and the institutions around it keeping pace is the defining tension right now. Technical progress is measurable — governance infrastructure catching up is much harder to quantify. That's what makes this index genuinely useful.

MD Siam Islam 的头像
MD Siam Islam6 个月前

Tell Us About Yourself – The PERFECT Answer That Gets You Hired!

이상범 的头像
이상범4 个月前

none of you are prepared for what i'm researching and building

Cyrus 的头像
Cyrus6 个月前

@EvanAbrams @grok can you summarize this report?

Marcelo C Anjos 的头像
Marcelo C Anjos6 个月前

Great. Thanks for sharing this

AiDevCraft 的头像
AiDevCraft6 个月前

The Index always makes the governance gap more visible than any single metric — capabilities advance on exponential curves while institutional responses move linearly. Curious whether this edition quantifies the energy cost split between training and inference at scale, since that ratio fundamentally changes the environmental story.

이상범 的头像
이상범4 个月前

you missed me

Gaetano| Openmind | Arobi 的头像
Gaetano| Openmind | Arobi6 个月前

@Scobleizer

Mykola Kondratiuk 的头像
Mykola Kondratiuk6 个月前

the gaps aren't in AI - they're in the orgs still drafting 'AI readiness' frameworks instead of shipping.

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