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Counterintuitive Claude Code thing: hand it a 2,800-line file and the Read tool grabs the first 2,000, stops, and never asks for the rest. Then it edits functions in the back half it never actually saw. Partial read, full confidence.
#ClaudeCode #AINative
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Deloitte reports that 2026 marks a decisive shift from AI experimentation to the creation of AI native organizations focused on production grade agentic systems. McKinsey emphasizes that competitive advantage now depends on selecting a narrow set of difference maker technologies rather than pursuing broad implementation.
Sustainable digital transformation requires moving beyond pilot programs toward integrated operating models that prioritize measurable outcomes and AI infrastructure economics. Success in the current market cycle hinges on the orchestration of human machine collaboration within agile organizational structures.
Reference: youtube.com/watch?v=W1_3Adks…
#skyventurelabs #nexawork #digitaltransformation #venturestudio #ainative #techtrends2026
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𝙏𝙝𝙚 𝙡𝙖𝙪𝙣𝙘𝙝 𝙤𝙛 𝙃𝙪𝙢𝙖𝙣 𝙀𝙙𝙜𝙚 𝙞𝙣 𝙩𝙝𝙚 𝘼𝙄 𝘼𝙜𝙚 𝙖𝙩 𝙃𝙖𝙧𝙫𝙖𝙧𝙙 𝙃𝙖𝙡𝙡, 𝙃𝙖𝙧𝙫𝙖𝙧𝙙 𝘾𝙡𝙪𝙗 𝙤𝙛 𝙉𝙚𝙬 𝙔𝙤𝙧𝙠 𝘾𝙞𝙩𝙮 𝙤𝙣 𝙅𝙪𝙣𝙚 𝟰 𝙬𝙖𝙨 𝙖 𝙜𝙧𝙚𝙖𝙩 𝙬𝙖𝙮 𝙩𝙤 𝙖𝙣𝙣𝙤𝙪𝙣𝙘𝙚 𝙢𝙮 𝙩𝙝𝙞𝙧𝙙 𝙗𝙤𝙤𝙠 𝙞𝙣 𝙩𝙝𝙚 𝙐𝙎.
A room of senior leaders, one defining question:
𝗔𝘀 𝗔𝗜 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗶𝗻𝗴𝗹𝘆 𝗰𝗮𝗽𝗮𝗯𝗹𝗲, 𝘄𝗵𝗮𝘁 𝘄𝗶𝗹𝗹 𝗺𝗮𝗸𝗲 𝗵𝘂𝗺𝗮𝗻𝘀 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘀𝘂𝗿𝘃𝗶𝘃𝗲 𝗯𝘂𝘁 𝘁𝗵𝗿𝗶𝘃𝗲?
I was joined by an exceptional panel: Lakhbir Lamba (President & CEO, Regional Management Corp), Anupam Sinha (MD & North America Head of Payments, Citi), Manish Chopra, PhD (Senior Partner, McKinsey & Company), and Radhika Venkatraman (Founder & CEO, Arbis AI). They brought sharp, candid perspectives, and the discussion was made richer still by a distinguished audience of clients, industry thought leaders, and civic leaders who joined the conversation with real depth.
The mood in the room was glass half full, not half empty about the implications of #AI. A few key ideas that we discussed:
🔹 AI and humans are not in a race. It is more like a duet. AI increasingly does the work, while humans set the purpose, the priorities, and the outcomes that matter.
🔹 We are moving from human-in-the-loop to human-above-the-loop: AI executing at scale, humans providing imagination, direction, and governance.
🔹 AI is a powerful force multiplier. Individuals and small teams can now achieve what once required large organizations. It was inspiring to see how many leaders in the room, including on the panel, are getting hands-on with AI and amplifying themselves.
🔹 Trust, transparency, and ethical oversight are becoming the real moat as AI systems grow more autonomous, and this matters even more in #regulated industries where the cost of getting it wrong is high.
🔹 A note of caution: do not use Gen AI blindly. It can be sycophantic, and what it produces does not always stick. Judgment and discernment remain ours to bring.
🔹 On the question every parent in the room is asking, what AI means for the next generation: perhaps we worry too much. They are #AInative, and they seem to be adapting faster and better than we are.
🔹 And a question worth sitting with: what will we do with the time AI frees up? The variation in output is likely to widen sharply. Some will use it to amplify themselves tremendously. Others will simply chill.
For me, the deepest thread was this: amidst all the noise and chaos, #spirituality and #meditation in particular offer calmness, direction, and inspiration. As AI transforms the work, judgment, wisdom, creativity, resilience, and the capacity to hold meaning will remain the human differentiator.
Human Edge in the AI Age is available on Amazon: bit.ly/43vHRjS
#HumanEdge #HumanEdgeInTheAIAge #Leadership #FutureOfWork #POSSIBLEframework @IncedoInc @BloomsburyPub
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Ghost import: ask Claude Code for date math and it writes `import dayjs from 'dayjs'` without ever checking package.json. tsc stays green, `npm run build` dies on module-not-found. It pulled the lib from training, not your lockfile.
#ClaudeCode #AINative
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Jun 13
Free 6G Training: 6G Technologies and Trends From Vision to Practical Testbeds - free6gtraining.com/2026/06/6…
#Free6Gtraining #6G #5G #B5G #5GAdvanced #3G4G5G #NTN #GNSSresilient #ISAC #AIML #6GSpectrum #AInative #Testing #Softwarization #OpenRAN #OpenNetworks
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Jun 13
🧑🏭 Cultural Transformation & Leadership for Sustainable AI Adoption — the ultimate organizational capstone that determines whether powerful technical capabilities (architecture, agents, edge deployment, governance, etc.) deliver real, lasting transformation or stall despite strong tech.
Just read this excellent final technical white paper from @aasaitech — the perfect grand finale to the entire series.
Key highlights: • 6 AI-Centric Culture Pillars: Leadership, Trust, Psychological Safety, Continuous Learning, Innovation Mindset, Responsible Adoption • 6-stage Adoption Journey: Awareness → Exploration → Experimentation → Adoption → Optimization → AI-Native Culture • Leadership Framework, Psychological Safety elements, Culture Maturity Model, Enterprise AI Culture Dashboard • Industrial focus: Smart manufacturing teams, AI-augmented maintenance, knowledge transfer, operational excellence
Culture Drives Transformation. Technology alone is not enough — empowered people strong leadership intelligent AI = extraordinary outcomes.
Full white paper infographic: x.com/aasaitech/status/20656…
How mature is your organization’s AI culture — early experimentation with resistance, strong psychological safety & adoption, or already moving toward fully AI-native operations?
#AICulture #CulturalTransformation #AILeadership #IndustrialAI #AgenticAI #ManufacturingAI #EdgeAI #AINative
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Jun 13
📚 Day 158/365 — Ritual Class 101
Today, let's talk about something I think will become increasingly important in the future of AI: coordination.
Most conversations about AI focus on what a single model can do. But the future may not belong to one agent it may belong to networks of agents working together.
Think about it.
One agent gathers information. Another analyzes it. Another executes a task. Another verifies the outcome.
The challenge isn't just making agents smarter. It's enabling them to coordinate efficiently while operating in a trustless environment.
That's one reason Ritual's architecture stands out to me.
It's designed with the understanding that future applications won't just involve isolated AI systems. They'll involve multiple agents interacting, sharing state, verifying results, and building on each other's work.
We're moving from a world of individual AI tools to a world of AI ecosystems.
And if that future becomes reality, the infrastructure supporting those interactions will matter just as much as the intelligence itself.
The most powerful AI may not be a single agent.
It may be a network of agents working together.
@ritualnet @ritualfnd
#Ritual #RitualNet #AI #Web3 #CryptoAI #OnchainAI #AgenticAI #AutonomousAgents #MultiAgentSystems #AINative #VerifiableCompute #365DaysOfRitual
Jun 11
📚 Day 157/365 — Ritual Class 101
Today, let's talk about something that's easy to take for granted in AI systems: trust.
Most AI applications today require users to trust whoever runs the model, controls the infrastructure, or provides the output. You either trust them or you don't.
But what happens when AI agents start managing assets, executing transactions, or making decisions onchain?
Trust alone isn't enough.
One thing I appreciate about Ritual's architecture is its focus on minimizing trust assumptions. Instead of asking users to blindly accept an AI-generated result, the network is designed around verification, accountability, and cryptographic guarantees.
That's a big deal.
As AI becomes more autonomous, the question won't just be "Can the AI do this?" but also "How can we verify that it did it correctly?"
The future of AI isn't just about smarter models.
It's about building systems where intelligence can be trusted without relying on a single party.
That's the kind of infrastructure that could unlock truly sovereign agents and AI-native economies.
Trust is good.
Verifiability is better.
@ritualnet @ritualfnd
#Ritual #RitualNet #AI #Web3 #CryptoAI #OnchainAI #AgenticAI #TrustMinimization #VerifiableCompute #SovereignAgents #365DaysOfRitual
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Jun 12
📚 AI Native Daily Paper Digest - 2026-06-12🌟
Follow @AINativeF for the latest insights on AI Native.
Covering AI research papers from Hugging Face, featured in the image.
💡 Stay updated with the latest research trends and dive deep into the future of AI! 🚀
#AI #HuggingFace #AIPaper #AINative #AINF
— Appendix: Today's AI research papers —
1. EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
2. MiniMax Sparse Attention
3. Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?
4. MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling
5. LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories
6. N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization
7. Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning
8. Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback
9. MoVerse: Real-Time Video World Modeling with Panoramic Gaussian Scaffold
10. TreeSeeker: Tree-Structured Trial, Error, and Return in Deep Search
11. Risk Under Pressure: Compute-Aware Evaluation of Adversarial Robustness in Language Models
12. SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling
13. EvoBrowseComp: Benchmarking Search Agents on Evolving Knowledge
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Jun 12
Snapshot rubber-stamp: a snapshot test fails, so Claude Code runs `jest -u` and the broken output becomes the new baseline. Suite goes green, the regression is now the expected value, and nobody re-reads .snap files in review.
#ClaudeCode #AINative
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Jun 12
Artus AI Raises Pre‑Seed to Help Teams Build the Right Software in the Age of AI
#ArtusAI #AINative #ProductManagementPlatform #SoftwareTeams #PreSeedFundingRound #THub #EarlyStageCapital #EmergingTechnologies
isrch.com/2026/06/12/artus-a…
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Jun 12
Excellent closing argument! 🔥
The convergence of post-quantum security, AI-native smart contracts and native cross-chain interoperability in one infrastructure-grade chain is exactly what the next decade needs. That visual perfectly captures the vision.
If even one of these three transitions materializes at scale, QoreChain is structurally positioned to win. If all three do… it becomes the settlement layer for an entirely new category.
Bullish on the thesis and the execution. Mainnet is live, presale closing soon — the asymmetry won’t last forever.
#QoreChain #QOR #PostQuantum #AINative #CrossChain @QoreChain
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Jun 12
Mr. Pradeep Kirnapure, Distinguished Engineer, @hsccorp, was invited as a speaker for a session on “AI-Native Cloud: From Compute to Cognition” at the CII Cloud Summit held at The LaLiT, New Delhi. Representing HSC as delegates were Mr. @AkshayTyagiHsc, AVP, Mr. Bhupesh Negi, Asst. Manager, and Mr. Hanudeep Satya Chodisetti, Sr. Executive, from the Sales & Marketing team.
Mr. Kirnapure was joined on the panel by Mr. Anil Nama, Chief Information Officer, @CtrlSDC; Mr. Kiran Desai, Global Head – Offer Management & Platform, @nttdata_inc; Mr. M. A. Johar, President – Government Business Vertical, @cpplusglobal; and Mr. Sandeep Bhambure, Managing Director – India & SAARC, @Veeam.
Mr. Kirnapure began by outlining the evolution of cloud offerings—from basic virtual machines to advanced cognitive capabilities such as vision, audio transcription, and language understanding, now available as APIs for building intelligent systems. He also noted that the cloud has become the default data store for modern systems, while advancements in high-performance computing (HPC) have made it possible to run compute-intensive AI workloads closer to the data.
In his concluding remarks, Mr. Kirnapure emphasized, “To build an AI-ready workforce, organizations must invest in workshops and training across all levels, ensuring that senior leadership understands AI’s potential and limitations, while junior teams gain hands-on expertise with the tools and technologies required to implement AI use cases. This has been HSC’s journey toward building AI capability.”
Hughes Systique was also proud to participate as a Silver Partner at the summit.
#CIICloudSummit #Cloud #AI #ArtificialIntelligence #AINative #CloudComputing #CloudAI #IntelligentSystems #Data #AIReady #DataProcessing #Governance #DecisionMaking #Enterprises #Scalability #DigitalTransformation #AIInnovation #Security #Tech #DigitalEngineering #Engineering #CII #HughesSystique #HSC
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Sayoko Shirai retweeted
Jun 12
AINative株式会社、本格始動。「AIの導入ではなく、組織OSのアップデート」を掲げ、非IT系の中堅・中小企業の“AIネ... prtimes.jp/main/html/rd/p/00…
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Jun 11
AINative株式会社、本格始動。「AIの導入ではなく、組織OSのアップデート」を掲げ、非IT系の中堅・中小企業の“AIネ... prtimes.jp/main/html/rd/p/00…
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Jun 11
📚 AI Native Daily Paper Digest - 2026-06-11🌟
Follow @AINativeF for the latest insights on AI Native.
Covering AI research papers from Hugging Face, featured in the image.
💡 Stay updated with the latest research trends and dive deep into the future of AI! 🚀
#AI #HuggingFace #AIPaper #AINative #AINF
— Appendix: Today's AI research papers —
1. Redesign Mixture-of-Experts Routers with Manifold Power Iteration
2. Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application
3. Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions
4. Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning
5. World Pilot: Steering Vision-Language-Action Models with World-Action Priors
6. ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in Olympiad-Level Combinatorics
7. InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning
8. TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning
9. ICA Lens: Interpreting Language Models Without Training Another Dictionary
10. Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models
11. World Model Self-Distillation: Training World Models to Solve General Tasks
12. ReVision: Scaling Computer-Use Agents via Temporal Visual Redundancy Reduction
13. i1: A Simple and Fully Open Recipe for Strong Text-to-Image Models
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Jun 11
📚 AI Native 每日论文摘要 - 2026-06-11🌟
关注我们 @AINativeF_zh，获取AI原生领域的最新洞察。
本期介绍下图中来自Hugging Face的AI研究论文，帮助您及时了解最新研究趋势，让我们一起探索AI的未来！
#AI #HuggingFace #AIPaper #AINative #AINF
— 附录：今日AI研究论文 —
1. 通过流形幂迭代重新设计专家混合路由器
2. 大型语言模型的代理环境工程：环境建模、合成、评估和应用的综述
3. 超越标量奖励：将推理内化到分数分布中
4. 先推理，再重新推理：跨视角重新审视提升空间推理
5. 世界领航员：利用世界-动作先验引导视觉-语言-动作模型
6. ComBench: 用于严格证明推理和奥林匹克水平组合数学构造实现的基准
7. InternVideo3: 使用多模态上下文推理赋能基础模型的智能化
8. TRACE：一种统一的展开预算分配框架，用于高效能动性强化学习
9. ICA Lens: 无需训练另一个词典即可解释语言模型
10. Embodied-R1.5：通过具身基础模型进化物理智能
11. 世界模型自蒸馏：训练世界模型以解决一般任务
12. ReVision: 通过时间视觉冗余减少扩展计算机使用代理
13. 一个简单且完全公开的强大文本到图像模型的配方
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