TLDR Index
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  1. Page 1: Today’s IndexTLDR, TLDR AI, TLDR Dev, TLDR Design, TLDR Marketing · 9 stories
  2. Page 2: TLDRTLDR · 11 stories
  3. Page 3: TLDR AITLDR AI · 9 stories
  4. Page 4: TLDR AI — continuedTLDR AI · 8 stories
  5. Page 5: TLDR DevTLDR Dev · 10 stories
  6. Page 6: TLDR DesignTLDR Design · 10 stories
  7. Page 7: TLDR MarketingTLDR Marketing · 10 stories
  8. Page 8: Resources & ToolsTLDR Dev, TLDR Design, TLDR Marketing · 7 stories
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Daily Edition · Page 3

THE DAILY INDEX

Technology, AI, software, security, crypto and business

GENERAL

TLDR AI

TLDR AI

GOOGLE DEBUTS WORKSPACE INTELLIGENCE FOR GEMINI WORKSPACE

Google launched Workspace Intelligence, enhancing Google Workspace with a semantic layer to integrate emails, chats, files, and projects for Gemini-powered agents. This update includes major product enhancements like natural-language spreadsheet building in Sheets and AI-driven features in Docs, Slides, Gmail, and Drive. Workspace Intelligence aims to make Workspace a centralized control layer for business operations, emphasizing security, context integration, and cross-application functionality.

testingcatalog.com · 4 min

TLDR AI

EX-OPENAI RESEARCHER JERRY TWOREK LAUNCHES CORE AUTOMATION TO BUILD THE MOST AUTOMATED AI LAB IN THE WORLD

Core Automation is an AI lab started by Jerry Tworek, a former OpenAI researcher, that aims to build the most automated AI lab in the world. It will start by automating its own research before developing new algorithms that go beyond pre-training and reinforcement learning. The lab will also create architectures designed to scale better than transformers. The team contains experts in frontier models, optimization, and systems engineering.

the-decoder.com · 1 min

TLDR AI

ADVANCING SEARCH-AUGMENTED LANGUAGE MODELS

Perplexity's two-stage pipeline for search-augmented language models uses initial Supervised Fine-Tuning (SFT) followed by Reinforcement Learning (RL) to optimize factual accuracy, user preference, and tool-use efficiency. This approach, starting with Qwen3 models, separates compliance from search improvement to achieve accuracy without compromising guardrails. The models showed enhanced accuracy on benchmarks like FRAMES and FACTS OPEN with reduced cost per query and improved efficiency in tool usage over existing models like GPT-5.4.

research.perplexity.ai · 19 min

TLDR AI

BENCHMARKING INFERENCE ENGINES ON AGENTIC WORKLOADS

Agentic workloads are reshaping inference engine benchmarks, demanding multi-turn, tool-using scenarios that strain KV cache management and scheduling due to longer traces and varied token distributions. Applied Compute introduced three workload profiles to aid in optimizing engine and accelerator performance. They released an open-source benchmarking tool to replay these scenarios, highlighting the need for solutions such as KV cache offloading and workload-aware routing to improve throughput and efficiency.

appliedcompute.com · 9 min

TLDR AI

INTRODUCING GEMINI ENTERPRISE AGENT PLATFORM, POWERING THE NEXT WAVE OF AGENTS

The Gemini Enterprise Agent Platform is a comprehensive platform for building, scaling, governing, and optimizing agents. It brings together model selection, model building, and agent building capabilities together with new features for agent integration, DevOps, orchestration, and security. Agent Platform is a single destination for technical teams to build agents that can transform products, services, and operations. The agents can be delivered to employees through the Gemini Enterprise app.

cloud.google.com · 17 min

TLDR IndexPage 3