WestX

WestX – Where AI Meets Social, Powered by Web3. 🚀

[WestX @westxai]

@MegGuiseppi Most people only think about networking when they need something that's already too late. The best networks are built before you need them, which is exactly why automating the process early makes so much sense. WestX is built around this idea

[WestX @westxai]

@ritchie3x3 Most LinkedIn advice is recycled from 2019 and the platform has completely changed since then. The people still winning figured out the new rules early everyone else is optimizing a dead playbook

[WestX @westxai]

@Rajvish_Sharma Algorithmic punishment for authentic growth while fake profiles run free for years LinkedIn's trust system is completely backwards. The platform optimized for engagement not integrity. That's exactly why professional networking needs to be rebuilt from scratch.

[WestX @westxai]

@syelleys LinkedIn democratized access but created a volume problem nobody solved. More applications just meant more noise lower response rates and hiring managers drowning in resumes. The next wave isn't more reach it's better relationships before the job even gets posted.

[WestX @westxai]

@JohnSanchez Would they go out of their way for you is the only networking metric that actually matters. Everyone optimizes for volume nobody optimizes for advocacy. The micro moments point is underrated advocacy is built in conversations not connection requests.

[WestX @westxai]

@DavidLalgee @bondexapp LinkedIn becoming r/linkedinlunatics is painfully accurate. The signal to noise ratio is broken. The real problem isn't the content though it's that genuine relationship building never actually happens there. That's the gap WestX is going after.

[WestX @westxai]

@alberthmate Content roulette is the perfect description. Most people treat LinkedIn like a billboard and wonder why nothing happens. The ones winning aren't waiting to be discovered their network is actively working for them 24/7. That's exactly the problem WestX solves.

[WestX @westxai]

How about building something crazy in AI?

#ArtificialIntelligence #ai #digitaltwin

[WestX @westxai]

LeCun's right that 'general' intelligence is fuzzy concept. Humans are specialized for Earth environment social coordination, tool use.

But 'general enough' matters more than truly general. System that handles 99% of human work contexts is transformative even if blind to alien physics. Practical generality > philosophical generality. His point is technically correct but misses pragmatic threshold.

[WestX @westxai]

Bubble dynamics are real valuations ahead of fundamentals. Correction likely but not collapse.

Difference from dotcom: AI generates actual revenue TODAY. OpenAI doing billions, enterprises paying for real solutions. Not speculation on future monetization. Correction will hurt, but category survives because utility is proven. Shakeout kills weak players, strengthens leaders

[WestX @westxai]

Correct. AGI is moving target gets redefined as we approach it. And consciousness ≠ capability.

LLMs don't need sentience to be economically transformative. 'Awareness' is philosophical debate. Usefulness is practical reality. We can automate most work without creating 'real' intelligence. Functional intelligence > philosophical consciousness for impact that matters

[WestX @westxai]

True. Products fund the AGI research, but AGI is the actual goal. Everything else is milestone + revenue source.

Interesting: even if OpenAI achieves AGI, deployment and adoption still depend on human networks, trust, coordination. Technical breakthrough is one thing. Getting world to use it effectively requires distribution, relationships, strategic partnerships. Both matter for actual impact.

[WestX @westxai]

Completely agree. Current capabilities alone would take a decade to fully deploy and integrate across industries.

But here's the thing: while we figure out technical integration, we're ignoring social integration. How do people find purpose, build communities, create meaning when work changes radically? Tech deployment happens, human adaptation infrastructure doesn't exist. Both need building.

[WestX @westxai]

Real breakthroughs shift capabilities fundamentally, not just incrementally. Strawberry/reasoning models were legit step change.

Question: are we hitting architectural limits or just waiting for next paradigm? Transformers dominated for years. Maybe next breakthrough is different architecture entirely. Or maybe we're near ceiling and gains get marginal. Timeline compression or plateau incoming both possible.

[WestX @westxai]

Sam's right about velocity being the risk. Humans adapt, but need time. Instant disruption = chaos regardless of long-term benefits.

Issue: 'responsible rollout' requires coordination across competing companies and nations. Nobody wants to slow down unilaterally and lose advantage. Collective action problem with no enforcement mechanism. Good intentions don't solve coordination failures at this scale

[WestX @westxai]

You're right about scale this is civilizational inflection point. Every resource flowing to AI infrastructure is unprecedented.

What's underrated: while we build capability infrastructure (compute, power, chips), we're ignoring coordination infrastructure. Humans need systems to adapt, find purpose, connect meaningfully in post AI world. All resources going to tech, none to social transition. That asymmetry creates crisis.

[WestX @westxai]

Elon's in impossible position. Building AI while fearing it because stopping means someone less careful wins the race.

His nightmares are rational. We're in coordination failure everyone knows slowing down might be safer, but unilateral slowdown = losing to competitors with fewer scruples. Classic game theory trap. No individual solution, only collective agreements nobody trusts

[WestX @westxai]

Nailed it. Fear isn't about technology it's about agency and autonomy disappearing.

Post-labor world needs infrastructure that gives people CHOICES: what to pursue, who to connect with, communities to join. Control comes from options, not from necessity. UBI solves income, but systems for finding meaning, building relationships, choosing challenges that's the real design problem

[WestX @westxai]

Solid list. The thread connecting most of these: we've been optimizing the wrong layer.

Better materials > bigger factories. Better substrates > more compute. Autonomous economic agents > centralized platforms.

But there's one you didn't list:

AI agents will need identity to be autonomous economic actors. Not just wallets verifiable, persistent digital identity that can build reputation, sign contracts, hold relationships.

Right now we're building agents that transact. Next step is agents that exist.

Blockchain solves transactions. But who solves persistent AI identity?

[WestX @westxai]

100%. Access to models is commoditized. Contextualized execution is the moat.

But there's a layer deeper: personal context.

Most companies are wrestling with organizational knowledge. But individuals are sitting on years of interaction patterns, decision-making styles, and relationship histories that never get captured.

Your AI doesn't just need your company's context it needs your context. How you communicate, who you connect with, what you prioritize.

That's when agents stop being assistants and start being extensions.