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
AI
-
Oracle Cuts 30,000 Jobs for Major AI Infrastructure Pivot
By
–
🚨 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
-
Sakana AI Launches Marlin, AI Research Assistant for Business Beta Testing
By
–
New Ultra Deep Research Assistant Marlin @SakanaAILabs 🐠 Pushing the limits of test-time scaling for automating business-oriented research. It builds on top of AB-MCTS and The AI Scientist! Very excited to see agents scale to real-world applications and long-running workloads. Sign up for beta testing. — 🐟Ultra Deep Research Assistant "Sakana Marlin" – Beta Testers Wanted 🐟 Sakana AI has developed "Sakana Marlin," an AI research assistant for business use powered by proprietary agent technology, as our first commercial product. sakana.ai/marlin-beta Sakana Marlin is an autonomous research assistant based on our proprietary long-horizon reasoning technology for conducting advanced business research. Key Features
・ Conducts autonomous research for nearly 8 hours given a theme
・ Automatically generates detailed research documents and summary slides
・ Designed for professional strategic research that typically takes teams of multiple people several weeks We conceived this solution to maximize AI's potential for making high-quality decisions amid complex global circumstances. This technology fuses insights from "AI Scientist" (automated scientific discovery published in Nature magazine) with "AB-MCTS" (strategic exploration). It realizes "efficient inference scaling" where output quality improves with more reasoning time. Closed Beta Testing
Targeted at professionals in financial institutions, corporations' strategic planning/business development divisions, consulting firms, think tanks, and similar organizations engaged in advanced research daily (free during the beta period). We will continuously improve based on your feedback. ▼ Apply for Closed Beta Testing
forms.gle/MYHGP1wi2q4PHYPA7 [Translated from EN to English]→ View original post on X — @sakanaailabs, 2026-04-02 08:38 UTC
-
Cognitive Architectures Differ From Standard AI Implementations
By
–
Cognitive architectures work far different than what you are using. Not a problem here.
-
Claude setup-token command lacks revocation API documentation
By
–
Claude code has this command, 'claude setup-token', that takes no arguments. It prints an oauth token with 1 year expiry to your terminal in coloured text. There is no command or publicly documented API to revoke this token, you can only do that from the web. Wtf?
-
LeWorldModel: Stable End-to-End JEPA from Pixels
By
–
LeWorldModel: Stable End-to-End JEPA from Pixels Paper: https://
le-wm.github.io
Project: https://
arxiv.org/pdf/2603.19312
v1
… Our report: https://
mp.weixin.qq.com/s/VycD8SODNAnH
iLIg4DlZvw
… -
From Prompting to Outcome Management: The Digital Coworker Era
By
–
The real “aha” for me: We are moving from prompting… to managing outcomes. Instead of crafting the perfect input, you: → Define the objective
→ Review the execution plan
→ Approve or refine That’s not a better chatbot. That’s a digital coworker. And it changes how -
AI Automation Beyond File Cleanup: Complex Task Management
By
–
And it doesn’t stop at file cleanup. Think bigger: → Build spreadsheets from raw data
→ Prepare structured reports
→ Summarize messy notes
→ Pull context from Slack or your browser session It breaks complex tasks into steps. Works through them autonomously. Keeps you in -
Executive AI: From Suggestions to Action
By
–
What if AI didn’t just suggest what to do…
— Ronald van Loon (@Ronald_vanLoon) 2 avril 2026
…but actually completed the work while you stepped away?
Most teams are still using AI as a smarter search bar.
But as I saw with @claudeai Cowork from @AnthropicAI, a new class of AI doesn’t stop at answers.
It executes.
Here’s… pic.twitter.com/o9NN9PNmBNWhat if AI didn't just suggest what to do… …but actually completed the work while you stepped away? Most teams are still using AI as a smarter search bar. But as I saw with @claudeai Cowork from @AnthropicAI, a new class of AI doesn't stop at answers. It executes. Here's
-
From Chatbots to Agents: Beyond Manual Augmentation
By
–
We’ve been stuck in “chatbot mode.” → Ask a question
→ Get a response
→ Manually do the work That’s augmentation. Agents are different. You define a goal. It:
→ Scans your local folders → Detects duplicates → Proposes categories → Suggests naming conventions →