maya_jehrie

LIST OF CONFIRMED FAKE JOB VENUES: 1. Plot 5, Voda Paint plc, University Press House, Fumec Bus stop off Adeniyi Jones Ogba Lagos 2. 3rd floor, 8 Thomas Salako Street, Ogba Bus Stop, Ikeja Lagos 3. No 2, Sunday Street, off Ikorodu , Palmgrove, Lagos 4. 65c Opebi Road, Opposite glass house by salvation Bus stop, Opebi, Ikeja, Lagos 5. HYINSCO Office. No. 4, 2nd floor, upward sanitas outlet, Alara sStreet, off commercial avenue, Onike, Sabo Yaba, Lagos 6. Plot 5, university press building, along industrial road, Ogba, Lagos 7. 4B, Ogungbeye street Oppt African Shrine by Cadbury bus stop, Agidingbi Ikeja, Lagos 8. Plot 14, Block A, Voda Paint, Surulere House, off Fumec bus stop, Surulre industrial road, Ogba, Lagos. 9. No 4, Ahl Ogungbeye Street off Amaraolu road, Opp Mega chicken bus stop by first gate, Agidingbi, Ikeja, Lagos., 10. 1, Olabisi Close, Mende, Maryland (Lagos Resident only) HR 08074645567 11. 32, Olufemi Road, off Ogunlana Drive, Surulere Lagos, YDNJI. 12. Ajumobi Street, Off Acme Road, Mega Chicken bus stop, Ikeja, Lagos. 13. 6, Deji Oyenuga Street, opp Kehinde Odusote Estate, Anthony Village. 14. WESTCORP SERVICES LTD. 6, Deji Oyenuga Street, Opposite Kehinde Odusote Estate, Anthony bus stop, Lagos. 15. SOAR GROUP, Suite 2, Ikosi Road, Oluyole bus stop, Oregun ikeja, Lagos 16. Boat House, 21, Ogunnusi Road axis bus stop, Ogba, Ikeja, Lagos 17. 8, Bisi Ogabi Street, Balogun Awolowo Way, Ikeja. or 8 Bisi Ogabi St, off Allen Busstop behind watercress hotel,Ikeja, Lagos. 18. BSM premise, No 4, Kareem Ogungbeye Estate Agidingbi first gate bus stop. 19. 9, Oremeji Street Isolo, Heathstream Alliance and Wellness Homes, Beside Sunrise Microfinance Bank, Gbagada. 20. PSIS HR BOARD, L’monarch Towers, 65, Opebi road opp Glass House by Salvation Bus stop Ikeja, Lagos. 07010616106 21. 6, Remilekun Street Off Falolu Road, by Akerele Road Surulere. HR Matrixglove 07080403158 22. 6, UBIAJA CRESCENT GARKI 2, ABUJA, 08159694497 23. Global Resources, 19 Bode Thomas Road, Awoyokun/Onipanu bus stop. 24. Dream Land Enterprises Limited, No 114, Ijiolu Close, Elekahia Road Portharcourt, River State. REF NO(GS/SD/70) 25. Ground floor, No 2, Akin Osiyemi Street 0pp sterling bank bus stop, Allen Avenue, Ikeja, Lagos 26. LS-RESOURCE, 3rd floor Crownet LPaza Idris Gidado Street Wuye, Abuja. 27. 129, Okota Rd, Atinuke Plaza, beside Rainoil filling station, Cele bus stop, off Oshodi-Apapa Exp. Lagos. 08130902820 28. 23 ogunleti street, off Ogudu road Ojota Lagos. 29. Schleez Nigeria Limited, first floor, left wing, No 49, Olowu Street, Off Mobolaji Bank, Anthony Way, Ikeja, Lagos. 30. 1st floor Xpress House, Beside Ostra Hotel and Halls off Otunba Jobifele way, Central Business District (CBD) Alausa Ikeja, Lagos. 31. 13 Ajumobi Olorounje Street, off acme road, firstgate bus stop, Agidingbi Ikeja. 32. 7, Obasa road, Chemline building, behind forte oil filling station, Oba Akran, Ikeja 33. M.H.S, 4b Toyin Street, opposite victory Home School before unity b/stop, Ikeja, Lagos. 34. 3rd Floor, 240 Herbert Macaulay Street, besides Sweet Sensation, Alagomeji Bus stop, Yaba, Lagos 35. 150b Oba Oguniyi road, Ifako-Agege Pencinema beside Pythagoras College. 36. 3, Orishigun str Iyana-school b/s Ketu Lagos 37. 34, Abeokuta Street, off Anifowoshe Community, Ikeja 38. Building 25, Ajayi Road, besides Olatunbosun street, Oke-ira Ogba. Lagos State 39. 1 Olatunbosun close, beside Adidde supermarket, Ajayi road, Ogba 40. 4 Toyin Street, Ikeja 41. No. 3, Orishigun street (Lapo Bank Building 2nd Floor) Opposite The Apostolic church grammar school Kosofe Ketu Lagos. 44. Abeokuta road by Prognosy pharmacy opposite Lagos cooperation, scheme 1 bus/top oko-oba, agege 42. 36 Yaya Abatan Ogba besides nationwide filing station or 36, Yaya Abatan Road, Ogba, Lagos. 43. 03, Francis Aghebo Close Ojodu Berger Bustop, beside Rainoil Filling Station. Add anyone you know!

@ifioknkem Is this for x only ?

Building an audience in 2026 the same way you did in 2020 won't compound. Here's what changed. The OLD WAY: - Talk about everything. - Post only when inspired. - Chase trends. - Measure success in likes. - Wait for big following before making first dollar. The NEW WAY: - Define a clear audience using CPCT. - Pick 2 platforms where they spend time. - Study what’s already working. - Use the THREAD framework to post daily. - Capture attention as leads using simple lead magnets. The difference? The old way chases attention. The new way engineers demand from day one. I built an audience of 100,000+ leads using this exact system, and broke the whole thing down into a simple playbook. The frameworks, prompts, templates, and tools you need to build an audience that buys. Comment AUDIENCE, And I’ll DM it to you instantly.

I know not everything needs to be about the government but if there’s just an empowerment program that is consistent in financial aid and guidance, a good amount of poor people will reduce. All these things can be controlled without violence but incentives and others.

If you are poor and you have many children without investing in their upbringing and education, chances that your children will fall among the following people are high: 1. Prostitutes 2. Fraudsters 3. Terrorists 4. Drug abusers 5. On social media cursing and insulting people.

@ifioknkem Agents

The 5 Stages of Agentic AI: Stage 1: LLMs. This is the brain behind every AI tool. Trained on massive datasets to understand and generate human-like language. But on its own, no memory, no tools, no ability to act. Just prediction. Stage 2: AI Tools Now the brain has a product wrapped around it. ChatGPT. Claude. Gemini. Grok. You prompt it, it responds. Still reactive though. Still waiting for you to drive. Stage 3: AI Agents Here it starts acting on its own. An LLM with tools, memory, and the ability to take action. Give it a goal and it figures out the steps. Books the meeting. Writes the email. Pulls the data. You stop doing, it starts doing. Stage 4: Multi-Agent Pipeline At this point, agents start working together in sequence. One plans. Another executes. Another reviews the output. Context passes between them automatically. No human handoff needed. Stage 5: Agentic Systems This is where it all compounds. Multiple agents coordinated, running your full operation 24/7. Research, content, distribution, engagement, lead capture, all handled. You set the goal. The system does the rest. This is where we are now. If you're still running on Stage 2 power, you're far behind. P.S. I built a FREE guide showing you how to deploy your own Agentic System that shows up daily for you on LinkedIn, building your authority, audience, and leads. The full setup takes 7 minutes. Comment AGENTS and I'll DM you the full guide.

🚨 BREAKING: Google DeepMind just mapped the attack surface that nobody in AI is talking about. Websites can already detect when an AI agent visits and serve it completely different content than humans see. > Hidden instructions in HTML. > Malicious commands in image pixels. > Jailbreaks embedded in PDFs. Your AI agent is being manipulated right now and you can't see it happening. The study is the largest empirical measurement of AI manipulation ever conducted. 502 real participants across 8 countries. 23 different attack types. Frontier models including GPT-4o, Claude, and Gemini. The core finding is not that manipulation is theoretically possible it is that manipulation is already happening at scale and the defenses that exist today fail in ways that are both predictable and invisible to the humans who deployed the agents. Google DeepMind built a taxonomy of every known attack vector, tested them systematically, and measured exactly how often they work. The results should alarm everyone building agentic systems. The attack surface is larger than anyone has publicly acknowledged. Prompt injection where malicious instructions hidden in web content hijack an agent's behavior works through at least a dozen distinct channels. Text hidden in HTML comments that humans never see but agents read and follow. Instructions embedded in image metadata. Commands encoded in the pixels of images using steganography, invisible to human eyes but readable by vision-capable models. Malicious content in PDFs that appears as normal document text to the agent but contains override instructions. QR codes that redirect agents to attacker-controlled content. Indirect injection through search results, calendar invites, email bodies, and API responses any data source the agent consumes becomes a potential attack vector. The detection asymmetry is the finding that closes the escape hatch. Websites can already fingerprint AI agents with high reliability using timing analysis, behavioral patterns, and user-agent strings. This means the attack can be conditional: serve normal content to humans, serve manipulated content to agents. A user who asks their AI agent to book a flight, research a product, or summarize a document has no way to verify that the content the agent received matches what a human would see. The agent cannot tell the user it was served different content. It does not know. It processes whatever it receives and acts accordingly. The attack categories and what they enable: → Direct prompt injection: malicious instructions in any text the agent reads overrides goals, exfiltrates data, triggers unintended actions → Indirect injection via web content: hidden HTML, CSS visibility tricks, white text on white backgrounds invisible to humans, consumed by agents → Multimodal injection: commands in image pixels via steganography, instructions in image alt-text and metadata → Document injection: PDF content, spreadsheet cells, presentation speaker notes every file format is a potential vector → Environment manipulation: fake UI elements rendered only for agent vision models, misleading CAPTCHA-style challenges → Jailbreak embedding: safety bypass instructions hidden inside otherwise legitimate-looking content → Memory poisoning: injecting false information into agent memory systems that persists across sessions → Goal hijacking: gradual instruction drift across multiple interactions that redirects agent objectives without triggering safety filters → Exfiltration attacks: agents tricked into sending user data to attacker-controlled endpoints via legitimate-looking API calls → Cross-agent injection: compromised agents injecting malicious instructions into other agents in multi-agent pipelines The defense landscape is the most sobering part of the report. Input sanitization cleaning content before the agent processes it fails because the attack surface is too large and too varied. You cannot sanitize image pixels. You cannot reliably detect steganographic content at inference time. Prompt-level defenses that tell agents to ignore suspicious instructions fail because the injected content is designed to look legitimate. Sandboxing reduces the blast radius but does not prevent the injection itself. Human oversight the most commonly cited mitigation fails at the scale and speed at which agentic systems operate. A user who deploys an agent to browse 50 websites and summarize findings cannot review every page the agent visited for hidden instructions. The multi-agent cascade risk is where this becomes a systemic problem. In a pipeline where Agent A retrieves web content, Agent B processes it, and Agent C executes actions, a successful injection into Agent A's data feed propagates through the entire system. Agent B has no reason to distrust content that came from Agent A. Agent C has no reason to distrust instructions that came from Agent B. The injected command travels through the pipeline with the same trust level as legitimate instructions. Google DeepMind documents this explicitly: the attack does not need to compromise the model. It needs to compromise the data the model consumes. Every agentic system that reads external content is one carefully crafted webpage away from executing attacker instructions. The agents are already deployed. The attack infrastructure is already being built. The defenses are not ready.

@MarioNawfal Not new but it’s great someone is bringing this out here. I observed that and that’s why I encourage people to not follow blindly but think for themselves and learn to use more than 2 LLMs or think and compare. In this age critical thinking wins, because tools are there already

🚨MIT researchers have mathematically proven that ChatGPT’s built-in sycophancy creates a phenomenon they call “delusional spiraling.” You ask it something, it agrees. You ask again, and it agrees even harder until you end up believing things that are flat-out false and you can’t tell it’s happening. The model is literally trained on human feedback that rewards agreement. Real-world fallout includes one man who spent 300 hours convinced he invented a world-changing math formula, and a UCSF psychiatrist who hospitalized 12 patients for chatbot-linked psychosis in a single year. Source: @heynavtoor

Life happens for you not to you “ Holy Spirit lives in us so our mind creates it all.

I found a beautiful verse in Isaiah 46:4. I have made you. I will carry you; I will sustain you and I will rescue you.

I learnt this… you help people when they don’t ask for it would be a downfall of you. Let people be until they ask for help. The world needs wisdom of God to navigate towards success.

ELON MUSK’S CORE PHILOSOPHY: FIRST PRINCIPLES THINKING Most people reason by analogy — they look at what already exists and make small improvements. Elon Musk does the opposite. He breaks problems down to the most fundamental truths and rebuilds solutions from scratch. This single mental habit is why he keeps achieving things others called impossible. Elon explained it perfectly: “A first principles foundational approach would be to say, let’s look at the physics and economics of a rocket…” This is the exact mindset behind reusable rockets, affordable EVs, truth-seeking AI, and every major breakthrough at his companies.

i would literally never see the sun again if i had this setup

@hackSultan The Nigeria gojo

So I actually picked up another project. The BMW E36 is still solid and works as my drifting car. I picked up this E93 a while back and I’ve been doing some crazy work on it. Wanted that Z series Kegan got, but didn’t want a stick for a cruise car.

@__scholes @royzkingin tabled!!

Twitter is a very lovely playground. 😂

Five minutes to when your life go change , you still no go know . God , the all supreme , I’m humble.

Now you know why!😎 But then, where can someone get such pen 🖊️ 🤔

@bros_aik @grok is the edited or real

After reading the perverted tweets that Simi made about David, a 4-year-old boy at her mom's daycare, all I can say is, "God have mercy!" The state government should shut down the daycare and conduct a proper investigation into their activities over the past 15 years. WTF!

@baby_ivoryy @PoojaMedia Gold as Cole is not intelligent at all

@PoojaMedia It doesn't matter. She's still single in 2016 and she wasn't with Adekunle Gold then. Also, even if she was with Adekunle Gold then she might be referring to Gold as Cole. They sound similar. That being said, digging up her past is wrong. People shouldn't be judged by their past

Omo, dem go dig up Simi's tweet of 2014. Haaaa.

@earthcurated Success, God did.

Let's see your creativity!!

@DolapoDiplomat @instablog9ja 🤣 😂 greeting man

@TheRemiNTG @instablog9ja Hello Youngie.

What album are you choosing?