98% of companies have Shadow AI. 78% of AI users bring their own tools. And when it leaks, it adds $670K to a breach. The scary part: your executives are the heaviest users. New piece on the hidden maze almost every company is already lost in 👇 marklynd.com/articles/shadow…

📌 Q: So how would the OSI model look at layer 4 if it were built for AI? A: If the OSI model were reimagined as an "AI Stack," Layer 4 (traditionally the Transport Layer) would handle Inference Transport and Payload Optimization. Instead of managing network packets (TCP/UDP), this layer ensures the reliable, efficient, and orderly delivery of data chunks between the user and the AI model. What functions would be supported? ⭐ Context Window Segmentation: Splitting massive prompts into optimal token chunks. ⭐ Stream Assembly: Managing real-time token delivery to prevent stuttering outputs. ⭐ Payload Routing: Directing traffic between CPUs, GPUs, and specialized TPUs. ⭐ Reliability Control: Retrying dropped requests when an AI node times out. ⭐ Token Flow Control: Throttling requests to prevent overloading the model's memory. So what's the Real-World Parallel? Traditional Layer 4: TCP ensures all bytes of a downloaded image arrive in the correct order. AI Layer 4: Ensures the first 500 words of a story generate and stream smoothly before the next 500 words begin. #AIInfra #AI

The future of emergency response is secure, real-time, data-heavy, and always-on. The network has to keep up, or people may pay the price. See how T-Priority can use network slicing and prioritized access to help: t-mobile.com/t-priority @T_Priority Partner

I just built a Claude Code stack that writes, approves, and publishes your LinkedIn posts from a single Sunday session every week. Feed it your profile context, your hook library, and a topic or script → it studies your voice, your best-performing formats, and your photo folder → generates three draft options matched to the right image and scheduled to LinkedIn while you pick the best angle. All inside Claude Code and Playwright MCP. Perfect for GTM engineers and founders who are still writing posts from scratch every week, spending an hour editing AI drafts that sound nothing like them, and manually uploading content to LinkedIn one post at a time. If you're posting on LinkedIn in 2026, you already know the math - the accounts that build pipeline aren't the ones with the best single post, they're the ones publishing consistently in a voice that sounds genuinely human every week. Most people ship two posts a week if they're lucky. This stack solves it: → profile.md gives Claude permanent context about your voice, your stories, your professional background, and your ICP so every post reads like you wrote it from session one → hooks.md gives Claude a curated library of proven formats, specific concrete examples, and a no-go list of overused openers so Claude never produces the lines saturating your space → Three draft options generated per topic so you pick the best angle not the only one - posts come out at 70-80% quality out of the box and 5 minutes of editing gets them to publishable → Descriptive photo filenames let Claude read the folder, match each post to the right image by feeling and vibe, and recommend the photo without reading the actual image → Playwright MCP opens LinkedIn, pastes the post, uploads the photo, handles resizing if the file is too large, and schedules at your default posting time without you touching the platform → One hour on Sunday produces and schedules a full week of posts so Monday through Friday runs without you opening LinkedIn once No writing posts from scratch every week. No spending an hour editing AI drafts that sound nothing like you. No manually uploading and scheduling content one post at a time. What you get: - profile.md template: the exact structure that gives Claude permanent voice and professional context so every session starts already knowing who you are - hooks.md file: proven format library, concrete examples, and no-go list built for your specific space - Full skill file: three draft generation, review and approval flow, and photo matching in one run - Playwright MCP setup: the exact configuration that publishes and schedules directly to LinkedIn without you touching the platform - One skill you install once and run every week forever Built 100% in Claude Code and Playwright MCP. I put together a full playbook with the skill file, the profile.md template, the hooks.md structure, and the exact Playwright MCP configuration to get a full week of posts written, approved, and scheduled from one Sunday session. Want it for free? > Like this post > Comment "SKILL" And I'll send it over (must be following so I can DM)

R.I.P expensive video editors. AI is redefining how high-quality content is created With Claude Opus 4.7 Kling 3.0, you can produce high-quality YouTube videos in minutes No large production team No excessive budget Want the full guide? Comment “Need” — I’ll send everything

after scaling a B2B saas from 0 to $515,700/year with a linkedin inbound funnel… i’m giving away a 30-page breakdown on ALL we did to pull it off: - content flywheel - CAV framework - DM funnels - A/B testing - profile setup - lead magnet launches like comment “Li” and i’ll send EVERYTHING over (must be following RT for priority access)

We booked 107 meetings in 30 days using two channels and no paid ads. We used outbound and content only. The 8-step system behind it: 1. LinkedIn Content: 44 total posts as a team, 1.6M impressions, Claude Code drafts copy with Pinecone, Scripe for ideation and Figma for design 2. Optimized LinkedIn Profiles: featured section and CTA links consistent across all team members 3. Website Positioning: copy tailored to ICP with social proof, Tally and Cal(.)com for application routing, partial submissions routed to Clay then Slack 4. Track Website Visitors: 7,000 monthly visitors, Warmly tracks those who don't convert, accounts pushed to Clay 5. Track LinkedIn Engagement: Teamfluence for profile visitors, Jungler for post engagement, periodic connection exports to Clay 6. AI Account Research: accounts auto-qualified in Clay, Apollo for decision makers, Findymail validates 90% of emails, BetterContact for phone numbers 7. Multi-Channel Outreach: daily Slack alerts with warm leads, HeyReach for LinkedIn, InstantlyAI for email, Nooks for cold calling 8. 107 meetings booked. Outbound and content are the two channels we keep doubling down on. PS I wrote TWO different step-by-step guides... 1. A full outbound masterclass 2. A full LinkedIn content masterclass Comment “107” and I’ll send you both.

📌 Did you miss the Cloud Security Alliance's AI Bytes Webcast on Vibe Hacking? Click the link to watch the replay: 👇 brighttalk.com/webcast/16947… The rise of "vibe hacking" and autonomous, AI-driven attacks in 2026 represents a critical, paradigm-shifting evolution in cybersecurity, moving from AI-assisted phishing to fully automated, end-to-end intrusion and extortion campaigns. This shift means hackers no longer need high technical expertise to execute complex, multi-stage attacks; instead, they use agentic AI to "vibe check" and run operations, focusing on the speed and "tone" of the attack rather than manual code writing During this power packed session we discussed ⭐ Key Trends in Autonomous Attacks ⭐ Why This Matters ⭐ The "Vibe" Shift - Defensive Strategies Enterprises Can Deploy Today Shout out to a great panel--Chris Wysopal| Ed Gaile| @marklynd #AISecurity

we just helped a SaaS company generate $400,000 in 3 months all powered by our playbook for ranking in ChatGPT, which we’re now releasing to the public while most marketers are treating AI search like it’s some future trend, the transition has already happened: • 40% of people under 35 now search ChatGPT before Google • Claude now has 10M weekly users • Gemini is now preinstalled on Android devices and these AI models don't automatically recommend the brand with the best SEO they recommend the brands that appear in the sources they pull from most companies still have no strategy for appearing there meanwhile, here’s what this approach recently generated for our clients: → 1,517 users acquired from AI citations in a 3-month period → 1,120 net-new visitors who had never visited the site before → Visitors from ChatGPT averaged 2m 16s on site and 2.24 sessions per user → 26,687 total events generated from LLM-referred sessions all of this was high-intent traffic instead of random clicks I created a FREE playbook to show exactly how this works want it? 1. like follow 2. comment “PLAYBOOK” and I’ll DM it to you

📌 Join Us! The Rise of "Vibe Hacking" & Autonomous Attacks Moderating a new series for @cloudsa called AI Bytes with 3 super knowledgeable panelists: Chris Wysopal| Ed Gaile| Mark Lynd 📅 When: 4/15 ⏰ Time: 1PM EST Register Here: brighttalk.com/webcast/16947… The rise of "vibe hacking" and autonomous, AI-driven attacks in 2026 represents a critical, paradigm-shifting evolution in cybersecurity, moving from AI-assisted phishing to fully automated, end-to-end intrusion and extortion campaigns. This shift means hackers no longer need high technical expertise to execute complex, multi-stage attacks; instead, they use agentic AI to "vibe check" and run operations, focusing on the speed and "tone" of the attack rather than manual code writing During this power packed session we'll discuss: - Key Trends in Autonomous Attacks - Why This Matters - The "Vibe" Shift - Defensive Strategies Enterprises Can Deploy Today #AISecurity

I replaced my $400K/year strategy team with an AI Executive Board... 7 frontier models. 5 countries. $0.30 per verdict. 34 seconds per decision. → No more shipping copy that one AI rubber-stamped → No more pricing decisions made with zero pushback → No more proposals that felt right but lost the deal → No more positioning gaps you only discover after the client says no Just paste your draft → 7 models argue independently → 1 synthesis verdict delivered. Here's how it works: → Claude (Anthropic) — strategic narrative positioning → GPT (OpenAI) — structure persuasion gaps → Gemini (Google) — logic flow audience framing → DeepSeek — contrarian pressure-testing → Qwen (Alibaba) — market angle commercial framing → Kimi (Moonshot AI) — risk flags blind spots → MiniMax — final synthesis verdict No cross-talk. No model sees the other's answer. One chairman model reads all 7 and delivers the final call. Built for decisions that cost you money if you get them wrong. Runs in your terminal. One command. $0.30. Results from real deployments: → $400K strategy function replaced completely → 34-second average verdict per decision → 7 independent opinions vs 1 AI hallucination → Catches the 1 line that quietly kills your sale Want the complete system? Like comment "BOARD" repost, and I'll DM it to you. (must be following)

HSBC improved bond trading performance 34% using IBM quantum computing. That is not a lab result. That is real capital, live markets, actual returns. Commercial quantum ROI just arrived in finance. Every major bank is watching. Most are already running their own experiments.

IBM says 2026 is the year. A quantum computer will outperform every classical machine at a real computational problem for the first time in history. When that happens, the encryption protecting most of the internet starts a countdown clock. You should know this is happening now.

Manufacturing costs for robots dropped 40% in just one year. Analysts expected 15-20% annually. Tesla plans to build 50,000 Optimus robots in 2026 at $20-30K each. The economics of intelligent machines just changed faster than anyone predicted.

88% of executives are increasing AI agent budgets. Only 34% of organizations actually pull it off. That gap between commitment and execution is where the real story is. The tooling is there. The will is there. The deployment discipline isn't.

487 deepfake incidents in Q2 2025. 2,031 by Q3. That's a 4x jump in 90 days. Financial losses surged from $200M to $347M in the same stretch. Whatever your threat model was at the start of last year, it's already two versions behind.

This video is 100% AI—and it’s printing money in 2026. • Full system to create AI UGC-style videos in seconds • Saves massive time & ad spend • Built from $100M in paid social data • 1,000 winning hooks real failed angles • Turned Claude into a performance creative operator with MakeUGC • Not templates — real strategy that converts Comment “MakeUGC” and I’ll DM it free. (must be follwoing)

I just killed my content team with 3 clicks. This video took 1 minute. Just MakeUGC. Every video inside is already tested and built by the best AI prompting experts — so you don't have to figure anything out. Just pick a winning format and recreate it in your niche. Done. See a competitor crushing it? Recreate it. Want 10 ad variations? Done in minutes. Tag someone who hates prompting. They need to see this. Rt & Comment ‘‘MakeUGC'' and I send the SOP

In a crisis, leaders have to make sense of chaos instantly. Eric McNulty calls this sense-making. You can't lead what you can't see. That depends on information flowing when it matters most. T-Priority is designed to support connectivity in challenging conditions. Read more: linkedin.com/pulse/four-pill… @T_Priority Partner