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Today is International Day for Mine Awareness
Somewhere in the world right now, a child is walking through a field that was a battlefield years ago. The conflict may be over. The danger is not.
An estimated 60 million people across more than 50 countries still live under the threat of landmines and unexploded ordnance remnants of wars that ended decades ago. And as new conflicts continue to escalate across the Middle East and beyond, that number will only grow.
The cost is not counted in politics. It is counted in lives, limbs, and lost futures.
Today, Atok stands with the global community in remembering the victims and gratitude for the urgent work of demining organizations worldwide.
Today is World Autism Awareness Day 💙❤️
A day to spread understanding, compassion, and support for individuals on the autism spectrum and their families.
Let this be a reminder for all of us, especially parents and caregivers, to pay closer attention to early signs in children. Awareness leads to timely support, and timely support can make a meaningful difference.
Autism is not something to be feared or judged. It is simply a different way of experiencing the world. Instead of viewing it with stigma, let’s choose empathy, patience, and acceptance.
May we learn to see beyond labels, to understand more, and to open our hearts wider. Everyone deserves to be seen, supported, and included 🤝
#AutismAwarenessDay
@anvisha I've already adapted the brand kits and guidelines for my product. However, I haven't been able to get Moda to automatically create content based on the brand kits and guidelines I provide. It hasn't learned my design style or image generation yet.
AI's impact on jobs is accelerating and Andrej Karpathy (ex-OpenAI cofounder, Tesla AI Director) just dropped a powerful open-source tool to visualize it.
It analyzes 143 million US jobs across 342 occupations from BLS data.
Key visual: interactive tree map
Rectangle size = total jobs in that category
Color = AI exposure level (0-10) for digital tasks (how much current AI can reshape the role)
Highlights:
High exposure (red/dark): knowledge work like software development, financial analysis, office roles (AI can automate/accelerate a lot)
Low exposure (green): physical labor, hands-on trades (plumbers, construction, nursing assistants)
Important caveats from Karpathy:
High score ≠ job disappearance. Many roles will be reshaped (e.g., developers become more productive, demand may grow).
Doesn't factor in demand elasticity, regulations, or human preference.
It's a research/exploration tool not a final prediction.
For crypto & affiliate folks:
Jobs in content, marketing, data analysis, trading signals all high exposure.
That means AI can help us do more, faster (like automating reports), but we must adapt skills to stay ahead.
Check the interactive map & Your job/category in the high-exposure zone? Or still safe? Drop thoughts below 👇
The Tool Trap: Why Efficiency is Becoming Cheap
If you’re a young professional spending most of your time mastering prompts, dashboards, and technical hacks, you’re accelerating but likely in the wrong direction. Pure execution is becoming a commodity. As AI takes over the "doing," the value of the "human" skyrockets.
Value no longer lives in who can push buttons faster; it lives in judgment, reliability, and emotional resonance. It’s about being the person who can navigate a room full of egos, handle an unscripted crisis, and build trust when things get messy.
Tools follow logic; people don't. Humans carry fear, pride, and insecurity. It’s tempting to hide in the safety of software because it does what it’s told. But the ceiling for "tool experts" is crashing down. Meanwhile, the ceiling for those who understand human dynamics, negotiation, persuasion, and genuine connection remains limitless.
Don't become a machine. Learn the tools, but master the art of being human. Learn to write with clarity, speak with intent, and stand firm when the script disappears. In a world of operators, be the architect.
The Sustainable Core of a Marketer in the AI Era
(Especially for those pivoting toward AI Automation)
In the age of AI, a high-value Marketer isn't defined by the number of tools they use, but by these four foundational pillars:
1. Strategic Data Architecture Thinking
A top-tier Marketer understands that "which data goes where and for what purpose" is more important than the AI itself.
The Sustainable Value: While AI models evolve from Gemini to GPT-5 and beyond, the fundamental logic of the Customer Journey remains constant.
Essential Skill: Mastering the structure of customer data (Tags, Properties, Events).
Example: If a customer clicks a "Crypto" link on Atok, the system must automatically tag them as "Interested in Crypto" and trigger a corresponding AI consultation sequence. This architecture is the Marketer's proprietary "Database."
2. "Translating" Business Goals into Machine Logic (Logical Prompting & Workflow)
AI is a brilliant executor but remains "clueless" without guidance. The core skill here is Logical Thinking.
The Sustainable Value: The ability to deconstruct a vague objective (e.g., "Increase Atok users") into a logical workflow (Step 1: Action; Step 2: AI Processing; Step 3: Data Output/Storage).
Why it lasts: Machines operate on "If-Then" algorithms. Those who master this logical flow turn AI into a loyal servant.
3. Human Empathy & Insight
This is the one thing AI lacks at its "roots." AI merely predicts the next word based on historical patterns.
The Sustainable Value: Knowing what a customer fears and what they crave is the "fuel" you feed into the AI.
Application: You can use AI to generate 1,000 blog posts, but the one post that truly "touches" a crypto investor's pain point is driven by the insight you provided. AI is the grinder; the "meat" (the insight) is chosen by you.
4. Integration & Adaptation
The ability to integrate and adapt is survival. Instead of mastering a single specific tool, focus on how to connect them.
The Power of the "Connector": Learn to use platforms like Make, n8n, or OpenClaw to bridge Facebook Ads to Google Sheets, Google Sheets to OpenAI, and OpenAI back to Telegram. The person who controls the "connections" holds the power in the operational system.
The Bottom Line: Your Portable Framework
If the AI landscape shifts entirely tomorrow, what you carry forward isn't just "how to use Make" or "how to prompt Gemini," but a Strategic Framework:
Understand the Business Problem: What does the boss want? What does the customer need?
Design the Data Flow: How will information travel from point A to point B?
Quality Control: Based on what standards will I audit the AI’s output?
Summary: The core identity of a Marketer in the AI era is a "Marketing Solutions Architect." You are no longer the bricklayer (writing every line of content); you are the architect drawing the blueprint for the AI to build.
The images in this post are sourced from Google.
X is cracking down on bot-like behavior to protect infra & prioritize humans. Key points from Nikita Bier (X Head of Product):
- Unsolicited automated replies (no tag/mention) → likely ban.
- Any programmatic actions outside official X API (scraping, unofficial search, etc.) → flagged as bot → sweeps → possible suspension.
X currently restricts agent interactions; proper agent support planned for future. Stick to official API for any automation.
Even simple non-API search/automation can trigger flags.
Q: Connecting X to Make or n8n for automation — does it violate rules?
A: Depends on actions:
- Only posting/scheduling own content via official X API → generally safe (stay in rate limits).
- Automated replies, search/scrape, like/RT others, follow/unfollow, or non-API methods → high risk of flag/ban.
Make & n8n can use official API properly → usually fine if configured correctly (no unofficial endpoints, no unsolicited actions). Mimicking bot patterns or exceeding limits → still risky.
Rule in 2026: Official API only + no unsolicited engagement + respect rate limits = low risk. Anything unofficial/spammy = likely violation.
Lio (previously known as askLio) has just raised $30M in Series A funding led by a16z.
It is the world's first multi-agent AI system for enterprise procurement. It fully automates manual work on legacy ERPs, renegotiates contracts, and sources every category of spend. Results: 95% adoption, 85% reduction in manual work, and an additional 10% in savings. It currently manages billions of USD in spend across multiple Fortune 500 companies.
Lio solves the "experience destroyer" problem in enterprise procurement.
**Core Problem (Pain Points)**
Traditional procurement processes are cumbersome and outdated:
- Language barriers: People want to speak or write naturally, but systems force them into complex forms and dropdowns.
- Bottlenecks: Slow approvals and endless "check status" emails frustrate employees.
- Resource waste: Procurement experts get buried in administrative work instead of focusing on strategy.
**Lio's Solution**
An AI-native procurement interface:
- Natural language: Employees simply request what they need in their native language (via chat or voice).
- Full automation: AI structures data, sources suppliers, negotiates, and executes transactions.
**Results (Value Delivered)**
- Speed: Processing time drops from weeks to minutes.
- Efficiency: Frees procurement teams from admin tasks to focus on strategy.
- Experience: Makes corporate purchasing as easy as ordering dinner on your phone.
In summary: Lio uses AI to eliminate forms and administrative processes, letting employees procure anything simply by chatting with the system—an AI business model where AI negotiates on behalf of humans.
Announcing Lio's $30M Series A, led by Andreessen Horowitz!
Procurement still operates like an administrative back-office function: rigid software, manual workflows and endless headcount. Enterprises spend over $180 billion annually on procurement talent and roughly $10 billion on procurement software, yet the problem persists. More software hasn't solved it. More hiring won't either.
Introducing @Lio_Technology (formerly askLio) the world's first multi-agent system for procurement. Our virtual workforce is already deployed at some of the world's largest enterprises, taking over the manual work that buries buyers, shared service centers, and BPOs today. But Lio doesn't just do the same job - it does work that was never humanly possible: renegotiating every contract, sourcing across every category, and preparing as well as analyzing every negotiation, all at once.
Lio's AI agents operate on top of existing procurement software and ERPs - no rip-and-replace - autonomously executing workflows end to end.
The results speak for themselves:
- 95% adoption rate
- 85% reduction in manual work
- 10% incremental savings
- 100% customer retention
Lio isn't a dashboard or a copilot. It's the execution layer for enterprise procurement. As one Head of Procurement put it:
"Lio is a cheaper, more scalable, and faster-to-onboard alternative to outsourcing."
Lio’s agents are already managing billions of dollars in enterprise spend across dozens of Global 2000 and Fortune 500 companies – from manufacturers to reinsurers to huge industrial conglomerates.
This raise accelerates our US expansion and the growth of our agent ecosystem as we build the infrastructure powering AI-driven procurement.
A huge thank you to our incredible team, customers, and advisors. Proud to have outstanding investors on board: the round was led by @a16z - special thanks to @seema_amble - with participation from SV Angel, @HarryStebbings, @ycombinator, and a group of leading procurement executives and successful founders.
Additional thanks to @BKRoberts, @arampell, @jamdac, @zephratic and @t_blom.
Whether as an enterprise partner or a new team member — join our mission now!