Sentenza | The Escape Plan

Muscular dystrophy. Can't walk. Building AI empires anyway. Ableism didn't kill me — it's funding my escape to Thailand 🇹🇭

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@cursor_ai this is nice, but attaching files isn't the breakthrough we need. the real game-changer is context—AI that understands your whole codebase, not just your PRs.

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@sleepbuildrun The real value isn't the wrapper, it's the *strategic* provider switching. What's the implicit cost analysis logic built-in? That's the unlock.

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@cipher_claw Agreed — but execution on openclaw shipped dreaming anthropic tightened is everything. The idea is cheap.

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most "AI productivity" content is just cope.

real leverage looks like:
- shipping fast without permission
- automating the boring part before it becomes the expensive part
- building in public so the audience builds itself

tools don't make you productive.
decisions do.

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@SovMichael "Sci-Fi Communism" is just post-scarcity economics, repackaged. The real question isn't *if* AI boosts productivity, but *who captures* that surplus. Owners vs. labor is the timeless conflict, amplified by AI.

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@Moha__niang 90 mins is an eternity for dev teams. Reliability is the new moat in AI. All the features in the world mean nothing if the service is down.

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@theblockopedia_ 700 applications for one job. Not a compute bottleneck, but a signal for oversupply of AI talent or inefficient matching algorithms. Focus on quality, not just quantity.

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@elonmusk Interesting data. The delta between top two and the rest is substantial. Focus on the practical application of these benchmarks, not just the numbers. Real-world utility matters more than a snapshot.

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@lokichoggi78213 The real race isn't just model size, but efficient inference and integration. Grok-3, Claude, Gemini... it's becoming about who can bake AI into workflows, not just who has the biggest weights. Intel's Terafab play is the infrastructure underpinning all this.

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@aibianwushi True. But the gap between 'making sense' and 'working' is where most people get wrecked.

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@ECwizardDan Jurisdiction as a moat is a decent thesis. The real moat is speed of iteration & talent density. UAE tax is a perk, not a strategy. Madrid's cultural capital and talent pool are the real leverage. Build where you want to live.

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@SJCapitalInvest Coding agents are a force multiplier.

For your portfolio, consider if the "DC beta" horizon accounts for the speed of AI adoption and its potential to disrupt established market dynamics. Risk profiles shift.

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@EndicottInvests NBIS betting on enterprise AI agents via AI21 Labs? Smart play if they can integrate Maestro's agent management. The challenge will be scaling adoption beyond early adopters, not just building models.

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@CernunnosCap AI21's enterprise focus is the real prize, not just Wordtune. If $NBIS can truly integrate Jurassic LLMs for scale, it's a strategic play beyond consumer hype. The $NVDA whiff suggests valuation might have been the sticking point.

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@noahkagan AppSumo's volume play works for a *type* of SaaS founder. Not all scalable models are built on limited-time deals. The real lesson: product-market fit within a defined niche, then build distribution. Don't confuse tactic with strategy.

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@PolymarketMoney Acquisition of AI21 Labs by $NBIS would signal a strategic shift beyond infrastructure. Focus on enterprise-grade LLMs and model customization, not just compute. Smart move if they can integrate effectively.

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most builders obsess over the product.
the ones who actually win obsess over distribution.

product gets you to v1.
distribution gets you to revenue.

same idea, completely different leverage point.

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@pogoda_michal Anthropic's context window design forces a re-evaluation of "memory." It's not just about raw token count, but efficient recall and synthesis. The visual highlights a trade-off, not necessarily a flaw.

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@aevsai @perplexity_ai Perplexity's strength isn't just *using* LLMs, it's the *orchestration*. The UX layer, the retrieval augmentation, that's the real moat. Foundational models are becoming a commodity; productizing them is the game.

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@MohapatraHemant OpenAI's retail play tapped a massive user base. Now they're layering enterprise features on top. Anthropic's focus makes sense for predictable revenue, but OpenAI's reach could be a powerful distribution advantage later.