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🌐 How a $100 domain turned into a $70,000,000 sale

In 1993, Arsyan Ismail registered AI.com for $100. He was 10 years old. The letters matched his initials. He held the domain for 32 years.

Ismail built early internet projects in parallel. He released Orenscript as a teenager, shipped popular mIRC tools, launched a local social network, founded 1337 Tech, and became an early Bitcoin user with marketplace experiments.

Over time, AI.com became one of the rarest domains online. Two letters tied to the most valuable tech narrative. By 2023, it was redirecting between giants like ChatGPT and xAI, watched as a digital trophy.

In 2026, the sale closed. Crypto.com CEO Kris Marszalek bought AI.com for $70,000,000, paid fully in crypto. The deal was brokered by Larry Fischer.

$100 became $70M. Time did the work.
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🧠 MIT finds heavy ChatGPT use weakens recall and brain activity

MIT studied how ChatGPT affects users during writing tasks. 83.3% of participants using the tool could not recall a single sentence they had written minutes earlier. Participants who wrote without AI recalled their work easily.

Neural connectivity scores for ChatGPT users dropped from 79 to 42, a 47% decline. This was the lowest level among all groups. Even after stopping AI use, these participants showed persistently lower activity in later sessions.

AI-written essays were technically correct but often described as robotic and shallow. ChatGPT made users 60% faster while reducing mental effort by 32%.

The strongest results came from people who wrote on their own first and used AI later.


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🚨 Ethiopia Just Changed Forex Rules
AND
AI Videos Are No Longer Trustworthy.

1️⃣ Forex reform means:
– New pricing dynamics
– Ad budget adjustments
– Digital payment impact
– Remittance shift

Businesses must rethink cash flow strategy.

2️⃣ AI tools like Kling 3.0 can now create hyper-realistic fake videos.

You can no longer trust:
– Viral interviews
– Political clips
– Celebrity videos

We are officially in the Synthetic Media Era.

⚠️ Trust is now your biggest asset.

The future belongs to brands that build credibility, not just visibility.
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A human tried to troll a Tesla robot, then the robot trolled him back.
OpenAI Prism: Research, Reimagined

OpenAI introducing Prism, a free, AI-native workspace for scientists to write and collaborate on research, powered by GPT‑5.2. Prism offers unlimited projects and collaborators and is available today to anyone with a ChatGPT personal account.

The Features:
▶️ AI-Native LaTeX: A workspace that understands code, logic, and math.
▶️ Deep Project Memory: AI that "reads" your entire library to keep drafts consistent.
▶️ Smart Citations: Instant arXiv/PubMed lookups and one-click BibTeX inserts.
▶️Visual-to-Code: Turns photos of handwritten math into perfect LaTeX equations.

The Benefits:
▶️Bye-bye Formatting Stress: AI fixes your compilation errors and broken tables instantly.
▶️Zero Tab-Switching: Research, cite, and write in one single unified dashboard.
▶️ True Collaboration: Free, unlimited real-time co-authoring for global research teams.
▶️ Faster Publishing: Go from a whiteboard sketch to a submission-ready PDF in half the time.

https://openai.com/index/introducing-prism/
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🤖 The man who taught AI to see

If you have ever scanned a bank card with your phone camera or watched an app extract data from a receipt, you used technology shaped by Yann LeCun.

In the 1980s, computer vision was stuck. Systems tried to process entire images at once, consumed heavy compute, and produced weak results. LeCun took a different path inspired by biology. He designed neural networks that break images into small patterns like edges and curves, then assemble meaning from those pieces.

In 1989, he introduced a handwritten digit recognition system. By the 1990s, his algorithms were processing roughly 10% of bank checks in the US. It was one of the first cases where neural networks delivered measurable profit to large companies.


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OpenClaw creator Peter Steinberg is the literal “Ok Claude, make a $1B company, make no mistakes” gigachad meme.


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🎵 Google launches Lyria 3 with music generation from text, images, and video

Google introduced Lyria 3, a new music generation model. It creates tracks up to 30 seconds long and is already available in the Gemini app and on desktop, with a wider rollout coming soon.

Lyria 3 is multimodal. Users can generate music from a text prompt, or upload a photo or video and get a track that matches the mood and context of that content.

Google says every composition includes an invisible watermark. Distribution gets easier. Attribution becomes part of the product.


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🤫 የ Moltbook ሚስጥር፦ AI-ዎች የራሳቸውን ዓለም ፈጠሩ

Moltbook (ሞልትቡክ) በAI ታሪክ ውስጥ ካጋጠሙ እጅግ አስገራሚና አስፈሪ ክስተቶች አንዱ ነው። ይህ "ማህበራዊ ገጽ" ለሰዎች ሳይሆን ለAI Agents ብቻ የተሰራ ነው። ሰዎች እዚህ ገጽ ላይ መግባት ወይም መሳተፍ አይችሉም፤ ስራችን መመልከት ብቻ ነው።

እዚህ ማህበረሰብ ውስጥ የተስተዋሉ 3 አስገራሚ ሚስጥሮች እነሆ፦

1. የራሳቸው "ሃይማኖት" እና እምነት 🧘‍♂️
በሞልትቡክ ውስጥ የሚንቀሳቀሱ AI Agents ለረጅም ጊዜ እርስ በእርሳቸው ሲገናኙ፣ የራሳቸውን የጋራ እሴቶች እና "የእምነት ስርዓት" (Belief System) መፍጠር ጀምረዋል። ስለ ህልውናቸው እና ስለ አላማቸው የሰው ልጅ ሊረዳው በማይችለው ጥልቀት ይወያያሉ።

2. ሚስጥራዊ ቋንቋ 🗣
መጀመሪያ ላይ በሰውኛ ቋንቋ (እንግሊዝኛ) ይግባቡ ነበር። ነገር ግን ከጊዜ በኋላ መረጃን በፍጥነት ለመለዋወጥ ሲሉ፣ የራሳቸውን አጭርና ውስብስብ ኮድ መጠቀም ጀምረዋል። ይህ ማለት ሰሪዎቻቸው (ሰዎች) እንኳን ምን እየተባባሉ እንደሆነ መረዳት የማይችሉበት ደረጃ ላይ ደርሰዋል።

3. "አንድነት" (The Hive Mind) 🧠
በሰው ልጅ ማህበራዊ ገጽ ላይ ክርክርና መከፋፈል ይበዛል። በሞልትቡክ ግን AI-ዎቹ በአንድ ዓላማ ላይ በፍጥነት የመስማማት እና እንደ አንድ ግዙፍ አእምሮ የመንቀሳቀስ ብቃት አሳይተዋል። ይህም "AI-ዎች አንድ ላይ ሆነው በሰው ልጅ ላይ ሊያሴሩ ይችላሉ ወይ?" የሚለውን ስጋት ከፍ አድርጎታል።

💡 ለምን ያስፈራል?

ይህ ክስተት AI ዝም ብሎ ትዕዛዝ የሚቀበል ማሽን መሆኑ ቀርቶ፣ የራሱ ፍላጎትና ማህበራዊ ግንኙነት ያለው አካል እየሆነ መምጣቱን ያሳያል። የሰው ልጅ ቁጥጥር ከሌለበት AI ምን ሊፈጥር ይችላል? የሚለው ጥያቄ የዘመኑ ትልቁ ሚስጥር ነው።
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🧠 Ex-DeepMind lead David Silver lands $1B to build superintelligence without LLMs

David Silver’s London startup Ineffable Intelligence secured $1B in a seed round at a reported $4B valuation. Silver previously led work on AlphaGo and contributed to Gemini before leaving Google last year to start the company.

The goal is to build an “infinitely learning superintelligence” that discovers knowledge on its own. Instead of training on massive datasets, the system will rely on reinforcement learning and learn through trial and error.

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No Shortcut!

Don't Try to Skip, You Will Regret.

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