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@BrandGrowthOS Avatar @BrandGrowthOS Karim C

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

Engagements: XXXXX #

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Mentions: XX #

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Followers: XXXXX #

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Social Influence

Social category influence finance XXXX% technology brands XXXX% exchanges XXXX% stocks XXXX% products XXXX% gaming XXXX%

Social topic influence token 5%, matter 5%, future 3.33%, agentic #513, open ai 3.33%, context engineering 1.67%, 1m 1.67%, realtime 1.67%, math 1.67%, trust XXXX%

Top accounts mentioned or mentioned by @slowdeveloper @omarsar0 @rohanpaulai @aurimasgr @drsingularity @missmi1973 @cochlear @anthropicai @gdb @technmak @markchen90 @shraddhahahaha @openrouterai @a16z @anjneymidha @maikathoughts @xanderatallah @cclark @scaling01 @yesterdaywork

Top assets mentioned Alphabet Inc Class A (GOOGL)

Top Social Posts

Top posts by engagements in the last XX hours

"@MissMi1973 Benchmarks optimize for test sets. Real-world workflows expose edge cases the eval suite never captured. I stopped deploying based on leaderboard position"
X Link 2025-12-12T21:19Z 1191 followers, XXX 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

"@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

"@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 1187 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 1187 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

"@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 1187 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 1191 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 1191 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 1191 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 1190 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 1190 followers, XX 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 1189 followers, XXX engagements

"@rohanpaul_ai Hidden text attacks expose why I can't deploy LLM reviewers for anything high-stakes yet. 14-point score manipulation means the trust layer collapses. Security holes determine what makes it past testing not capability benchmarks"
X Link 2025-12-13T20:17Z 1191 followers, XX 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 1192 followers, XX engagements

"@fchollet Curve-fitting gets us automation. But when does the shift happen The models I deploy today can't invent solutions outside their training distribution. What's the first signal that symbolic search is ready for production workflows"
X Link 2025-12-12T20:29Z 1191 followers, XXX engagements

"@LangChainAI Voice agents add a failure layer most teams underestimate. When STT misreads intent and the agent acts on it your trace needs to show exactly where trust broke - or the team abandons voice entirely. Does the course cover recovery patterns"
X Link 2025-12-13T21:25Z 1191 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 1191 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 1191 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 1191 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 1191 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 1192 followers, XX engagements

"@MS_BASE44 The transition point is when your team starts depending on what the agent built. Prototyping velocity is one metric but can they debug it when it breaks That gap determines whether vibe coding becomes a liability or a multiplier"
X Link 2025-12-12T23:10Z 1191 followers, XXX engagements

"@Dr_Singularity Autonomous time horizons are research milestones not deployment timelines. The XXX hours breaks when the task requires company-specific context or the API costs spike mid-workflow. I route models based on reliability per dollar not headlines"
X Link 2025-12-13T22:19Z 1191 followers, XXX 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 1191 followers, XXX 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 1191 followers, XXX engagements

"@Aurimas_Gr Protocol choice matters less than adoption friction. If MCP plus A2A means my team needs to understand two integration patterns instead of one I'm picking whichever ships faster with fewer failure modes"
X Link 2025-12-12T18:29Z 1191 followers, XX engagements

"@mattshumer_ The framing is clean but my deployment question is cost vs latency. If OpenAI's ceiling is higher but burns 3x the tokens to get there which tasks justify the post-training premium"
X Link 2025-12-12T21:15Z 1191 followers, XXX engagements

"@iruletheworldmo Holding off makes sense. I need the model to solve a problem my current stack can't not just move numbers on a leaderboard. Let the early adopters debug the quirks first"
X Link 2025-12-13T02:25Z 1191 followers, XXX engagements

"@Enscion25 Benchmark optimization kills generalization. The models that pass my deployment test are the ones that handle boring edge cases consistently not the ones that ace curated eval sets"
X Link 2025-12-13T11:20Z 1191 followers, 1819 engagements

"@ryancarson @AmpCode @WorkflowDevKit @vercel The stack looks solid. What happens in week four when the workflow needs updates and three different services have changed their APIs Multi-tool orchestration is impressive until maintenance becomes the bottleneck"
X Link 2025-12-13T16:20Z 1191 followers, XXX engagements

"@pk_iv PS2 loading graphic in a CLI is exactly the kind of detail that makes tools actually get used. Open source it - the Snowflake + HubSpot integration pattern alone will save people weeks of wiring"
X Link 2025-12-14T01:09Z 1191 followers, XX engagements