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/

🤖 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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🎵 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።

🧠 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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