[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

@BrandGrowthOS Avatar @BrandGrowthOS Karim C

Karim C posts on X about ai, matter, token, gain the most. They currently have XXXXX followers and 1480 posts still getting attention that total XXXXX engagements in the last XX hours.

Engagements: XXXXX #

Engagements Line Chart

Mentions: XX #

Mentions Line Chart

Followers: XXXXX #

Followers Line Chart

CreatorRank: XXXXXXXXX #

CreatorRank Line Chart

Social Influence

Social category influence finance technology brands exchanges stocks

Social topic influence ai, matter, token #2457, gain, finance, what i, open ai #2132, agentic #412, future, agi

Top assets mentioned Alphabet Inc Class A (GOOGL)

Top Social Posts

Top posts by engagements in the last XX hours

"@raizamrtn Connectors are the unlock. I don't need another model - I need reliable integrations that don't break when Salesforce updates their API. The infrastructure around the model matters more than another X% accuracy gain"
X Link 2025-12-09T02:10Z 1173 followers, XXX engagements

"This is exactly the kind of transparency enterprise AI needs. The separation of performance from honesty is brilliant. In my experience deploying AI workflows trust isn't built on perfectionit's built on knowing when the system is uncertain or taking shortcuts. This could be a game-changer for adoption"
X Link 2025-12-09T04:16Z 1171 followers, XX engagements

"@davidpattersonx AGI timelines are interesting but my planning horizon is still Q2 budget cycles. The constraint isn't model capability - it's how fast my finance team can trust an agent to touch live transaction data"
X Link 2025-12-09T06:20Z 1173 followers, XXX engagements

"@burkov Open reasoning models mean my team can finally test chain-of-thought logic without API costs spiraling. The constraint was never the technology - it was whether I could budget for production-scale experimentation. This changes deployment economics completely"
X Link 2025-12-09T11:05Z 1177 followers, XXX engagements

"@itsPaulAi Local deployment changes what I can test before committing budget. 24B that runs on a laptop means my team can prototype without spinning up infrastructure. That's the unlock - velocity in the build phase not just the model size"
X Link 2025-12-09T21:30Z 1179 followers, XXX engagements

"Marketing folks hedging against AI by buying into physical businesses Can't automate a burger or a haircut Smart play honestly"
X Link 2025-12-09T21:56Z 1180 followers, XX engagements

"@swyx @simonw @MaheshMurag Attention velocity doesn't always map to deployment velocity. Skills matter when they reduce the gap between demo and production - the real test is whether teams ship them to end users or just talk about shipping them"
X Link 2025-12-10T21:15Z 1177 followers, XX engagements

"@Aurimas_Gr True but complexity only matters if it solves the adoption problem. I've rebuilt agents that were architecturally beautiful but the team abandoned them because the error handling was opaque. Infrastructure depth doesn't fix trust issues"
X Link 2025-12-10T14:25Z 1186 followers, XXX engagements

"@Zai_org Open-sourcing the model is solid. What's the reliability look like when it misreads UI elements in production Screen interpretation errors are where mobile agents lose user trust fast"
X Link 2025-12-11T14:13Z 1186 followers, XXX engagements

"@levie Context rot is exactly why I gate agent rollouts behind accuracy benchmarks now. A model that degrades at token 8000 means my team stops trusting it at scale. GPT-5.2's window upgrade changes what I can actually deploy to production"
X Link 2025-12-12T07:20Z 1186 followers, XXX engagements

"@slow_developer Competition forced the upgrade cycle but my deployment decisions still come down to one test: does the new model break my existing workflows Speed to market means nothing if I'm debugging agent failures for three weeks after the switch"
X Link 2025-12-12T08:32Z 1186 followers, XX engagements

"@iScienceLuvr Confessions only matter if they happen before deployment not after the model already answered wrong. My team needs uncertainty signals in real-time"
X Link 2025-12-10T13:40Z 1184 followers, XXX engagements

"@slow_developer Human+AI collaboration solving real math problems is the pattern that actually scales. Tao's approach mirrors how my team uses models best"
X Link 2025-12-10T13:40Z 1184 followers, XX engagements

"@omarsar0 Context engineering is where my multi-agent costs exploded until I fixed the handoffs. Passing full context between agents looked clean architecturally but killed our API budget. Now I prune context at boundaries - only what the next agent needs to act"
X Link 2025-12-06T18:20Z 1185 followers, XXX engagements

"@HuggingPapers 1M token context sounds great until you hit the latency wall in production. My question: what's the actual response time when you're using 500K+ tokens That's usually where these models break down for team workflows that need sub-3s responses"
X Link 2025-12-10T08:11Z 1184 followers, XXX engagements

"@0xSero XX hours of quantization for deployment flexibility is the right trade. I'd rather burn compute once upfront than explain GPU procurement to finance every quarter. That 62GB footprint unlocks options"
X Link 2025-12-10T16:25Z 1186 followers, XX engagements

"@flowith E-commerce benchmarks matter because they test real decision paths not synthetic tasks. Ranking 3rd at X months in means your agent architecture scaled past the demo stage"
X Link 2025-12-10T17:25Z 1186 followers, XXX engagements

"@connordavis_ai The gap between prototype agents and production-grade systems is massive. Every startup shows the demo nobody talks about the monitoring infrastructure needed when agents fail at X AM. This guide might finally close that gap"
X Link 2025-12-11T14:11Z 1186 followers, XXX engagements

"@ManusAI Well played now we are talking. This is the stuff that will set you apart from smart LLMS that can do it all"
X Link 2025-12-11T15:43Z 1186 followers, XXX engagements

"been wanting dynamic model switching in llama.cpp forever - new router mode finally does it. load/unload on demand openai api compatible no restarts needed"
X Link 2025-12-11T17:45Z 1186 followers, XX engagements

"@akshay_pachaar The UI determines adoption. I've built agent backends that worked perfectly but died because the interface didn't fit how my team actually works. Framework choice is the easy part - building the front-end that people trust is where most agents fail"
X Link 2025-12-12T13:15Z 1186 followers, XXX engagements

"@iannuttall The 2x token cost is the real test. Benchmarks look clean until you're running this across your team's daily workflow. Does the X% accuracy gain justify double the burn rate when you scale to production"
X Link 2025-12-11T13:25Z 1186 followers, XXX engagements

"@Dr_Singularity Self-generated rewards in a simulated 3D environment is clever research. What happens when you deploy this to a business problem where the reward function isn't clean That's where autonomous learning breaks in production"
X Link 2025-12-11T17:35Z 1187 followers, XXX engagements

"@_simonsmith Thinking time matters less than output quality when you're deploying to your team. If XXX shaves XX seconds but drops accuracy on edge cases adoption crashes. What's the reliability gap look like"
X Link 2025-12-11T18:35Z 1186 followers, XX engagements

"most people are building agents as chat widgets when they should be building agentic ui - agents that directly control your app state. copilotkit's new useAgent hook makes this actually usable with shared state + multi-agent orchestration"
X Link 2025-12-11T20:32Z 1186 followers, XX engagements

"@polynoamial @OpenAI Single-number benchmarks hide the deployment decision. If your use case needs XX seconds of compute per query that benchmark score doesn't tell you if your infrastructure budget can handle it at scale"
X Link 2025-12-11T21:18Z 1187 followers, XXX engagements

"I've been digging into OpenAI's new GPT-5.2 and it's clear the future of professional work is agentic. This isn't just an upgrade; it's a new paradigm. The model is designed for long-running complex tasks saving enterprise users hours each week. It's a significant leap in AI's ability to handle professional workflows from creating spreadsheets to writing code. The competitive race with Google is pushing the boundaries of what's possible and we're all benefiting from it"
X Link 2025-12-12T09:01Z 1186 followers, XX engagements

"The Disney-OpenAI partnership is a watershed moment for creative industries. With a $X billion investment and plans to bring iconic characters to Sora Disney is embracing generative AI as a core part of its future. This isn't just about creating content; it's about building new interactive experiences for fans. It's a bold move that signals a new era of collaboration between creative giants and AI innovators with a shared commitment to responsible creation"
X Link 2025-12-12T14:03Z 1186 followers, XX engagements