Claude Opus 4.7 is now available on Poe. Anthropic's most capable model yet, with major improvements in coding, reasoning, long-context understanding, tool use, vision, and multi-step agent workflows. You can try it in Poe app on all platforms and in the Poe API at
INNOVATION
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AI Capabilities vs Interactive Real-World Usage Reality
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No. Yes, it's not contradictory, but it's flexing muscle on one aspect that you then have to quickly qualify because the reality of use is different, which is the interactive use that we all give it.
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Full Architecture for Agentic AI Systems Unveiled
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Want the full architecture?
Comment “AGENTIC” or DM. -
Decision Systems: The Better Alternative to Current Approaches
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What works instead:
Decision systems. -
Enterprises Scale Models But Not Scaling Decisions
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Enterprises are scaling models.
But not scaling decisions. -
Organizational Barriers: Fragmentation, Governance, and Orchestration Challenges
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What breaks: → Fragmented ownership → No execution governance → No orchestration
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AI Strategy Failure: The Decision Ownership Problem
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Most AI strategies fail for one reason:
— Ronald van Loon (@Ronald_vanLoon) 16 avril 2026
No one owns the decisions. pic.twitter.com/CqFzmlT2dvMost AI strategies fail for one reason:
No one owns the decisions. -
Opus 4.7 Released: Live Vibe Check Now
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Opus 4.7 just dropped and we're LIVE VIBE CHECKING it right now
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Sabi Launches Non-Invasive Brain-Computer Interface Technology
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A company just stepped out of stealth and almost nobody noticed.
— AI Highlight (@AIHighlight) 16 avril 2026
Sabi is building non-invasive brain-computer interface tech with the best hardware and strongest results in the category.
This is their first public announcement and the flag being planted before anyone else… https://t.co/i9SmAMuPfI pic.twitter.com/yRIJgANctyA company just stepped out of stealth and almost nobody noticed. Sabi is building non-invasive brain-computer interface tech with the best hardware and strongest results in the category. This is their first public announcement and the flag being planted before anyone else
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Opus 4.7 token efficiency claims questioned
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Luego es gracioso que te ponen una gráfica donde se muestra claramente cómo Opus 4.7 logra mejores resultados para un mismo uso de tokens, para luego tener que indicar en el pie de gráfica que esto no es indicativo del uso de tokens del modelo