Interesting how familiarity breeds confidence rather than fear here. Early 2023 was definitely the most "what is happening" moment for me too haha
GENERATIVE AI
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Curating 1,900 Hand-Picked AI Newsmakers from 50,000 Followers
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How can I pick one? I have 50,000 all in lists: https://
x.com/scobleizer/lis
ts
… My favorite list is AI Newsmakers, but that has 1,900 on it, all hand picked. -
Next Enterprise Intelligence Era: Better Context Over Bigger Models
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Bottom line: the next era of enterprise intelligence won’t be “bigger models”—it’ll be better context. Watch the full video: Context Engineering—Defining the Next Era of Enterprise Intelligence. In partnership with Elastic. Check out the full article:
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Context Engineering: Organizing Unstructured Data for AI Reasoning
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What is “Context Engineering”? It’s the discipline of stitching your unstructured mess—logs, chats, docs, images—into something an AI can actually reason over. → Vector DBs + hybrid search + embeddings to retrieve by meaning, not keywords. → Decisions anchored in your data,
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Context Engineering: Why Quality Data Beats Volume for AI
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Most teams think “more data = smarter AI.” I make the opposite case: context beats volume. When LLMs are grounded in your company’s own signals—not just the internet—they deliver accurate, explainable decisions at scale. A thread on Context Engineering and why it changes
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AI Video Generation Evolves from Glitches to Perfect Synchronization
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Les vidéos IA avant : personnages qui glitchent 😭
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 2 avril 2026
Maintenant : mouvements propres + synchro parfaite
On est passés de PS2 à Netflix en 1 update https://t.co/RpgV0TVWqU pic.twitter.com/SUqeCcr0ZALes vidéos IA avant : personnages qui glitchent Maintenant : mouvements propres + synchro parfaite
On est passés de PS2 à Netflix en 1 update -
Daily LLM and AI Agents Knowledge Sharing
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Found this helpful? Like and repost to share the knowledge Follow me → @datachaz for your daily dose of LLMs and AI agents!
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Sakana Marlin: AI Assistant Conducting 8-Hour Deep Research
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We are recruiting beta testers for Sakana Marlin🎣 This is a highly capable assistant with Deep Research that investigates over 8 hours! Behind this product lies AB-MCTS, the result of pure research projects! This is a product unique to Sakana AI, where research achievements translate into actual products👏 — Sakana AI (@SakanaAILabs) 🐟Ultra Deep Research Assistant "Sakana Marlin" – Now Recruiting Beta Testers🐟 Sakana AI has developed "Sakana Marlin," our first commercial product – an autonomous AI research assistant for business powered by our proprietary agent technology. sakana.ai/marlin-beta Sakana Marlin is an autonomous research assistant based on our unique long-term reasoning technology, capable of completing advanced business research. Key Features
・When given a topic, it autonomously conducts research for nearly 8 hours
・Automatically generates detailed research documents and summary slides
・Designed to replicate professional strategic research that teams of multiple people would conduct over weeks We conceived this solution to leverage AI's full potential to enable sound judgments in complex social situations. This technology fuses insights from "AI Scientist" – the automation of scientific discovery recently published in Nature magazine – with "AB-MCTS" which enables strategic exploration. This achieves "efficient reasoning scaling" where output quality improves the longer the AI thinks. We are conducting a closed beta test targeting those working daily on advanced research: strategy and business planning departments at financial institutions and corporations, consulting firms, think tanks, and similar organizations (free during the beta period). We will continuously improve based on your feedback. ▼ Apply for Closed Beta Tester Status Here
forms.gle/MYHGP1wi2q4PHYPA7 [Translated from EN to English]→ View original post on X — @sakanaailabs, 2026-04-02 08:48 UTC
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Claude Code leak makes Anthropic more open than OpenAI
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After the Claude Code's source leaked Anthropic is now officially more open when compared to OpenAI 😛
→ View original post on X — @krishnaik06, 2026-04-02 08:45 UTC
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Oracle Cuts 30,000 Jobs for Major AI Infrastructure Pivot
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🚨 Big Shift at Oracle: AI Over Everything Oracle is reportedly planning to lay off up to 30,000 employees — nearly 18% of its global workforce — as the company aggressively pivots toward Artificial Intelligence. This isn’t just cost-cutting. It’s a strategic reset. Here’s what’s driving the move 👇 🔹 Massive AI Pivot Oracle is redirecting resources to compete in the AI race, investing heavily in high-performance computing and next-generation AI infrastructure. 🔹 Data Center Expansion Reports suggest long-term infrastructure investments could reach $156 billion, powering large-scale AI model training and deployment. 🔹 Financial Realignment The layoffs aim to generate $8–10 billion in annual savings, helping fund AI innovation while managing more than $100 billion in debt and recent stock pressure. 🔹 Post-Cerner Restructuring After the $28B Cerner acquisition, Oracle is consolidating operations and reducing roles tied to legacy and non-cloud systems. 💡 The bigger picture: Tech companies are no longer just adopting AI — they are restructuring entire organizations around it. We are entering an era where: ➡️ Infrastructure > headcount ➡️ AI capability > legacy operations ➡️ Adaptability > job titles The AI transformation is not coming. It’s already reshaping the workforce. What are your thoughts — evolution or disruption? 👇 #AI #Oracle #TechIndustry #ArtificialIntelligence #FutureOfWork #CloudComputing #DigitalTransformation
→ View original post on X — @krishnaik06, 2026-04-02 08:40 UTC