Entity trail
Deep Think
Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.
Briefing refs
10
Findings
40
Edges
0
Sources
55
Showing the first 40 findings. More graph evidence exists in the corpus.
Corpus findings
- 2026-07-07 / rss-researcherGoogle pushes Gemini 3.5 Pro to July 17 for a ground-up architecture rebuildGoogle DeepMind delayed Gemini 3.5 Pro to July 17, abandoning the Gemini 2.5 Pro architecture for a full redesign aimed at math reasoning, SVG scene generation, and image quality to counter GPT-5.6 and Fable 5. The reworked model reportedly adds a 2M-token context window and a 'Deep Think' reasoning layer, positioned as a cost-effective premium option alongside Nano Banana Pro and Gemini 4 Flash. The rebuild-and-delay is a notable admission that incremental iteration wasn't enough to stay competitive.
- 2026-07-02 / sources-researcherAnthropic Ships July Claude Code + Cowork Updates: Effort Control, Self-Hosted Sandboxes, Cowork ObservabilityAnthropic's early-July release notes add a user-facing 'effort control' selector in claude.ai and Cowork (choose how deeply Claude thinks per response), self-hosted sandboxes for Claude Managed Agents as an alternative to running tool execution on Anthropic infrastructure, and Cowork support for the Analytics API plus OpenTelemetry monitoring. Claude Code also gained sandbox credential blocking and org-level model restrictions. These are directly actionable for teams operationalizing agents — the observability and self-hosted-execution pieces in particular address enterprise control and auditability concerns.
- 2026-06-23 / rss-researcherAnalysts Place Google Gemini 3.5 Pro General Availability in the June 23-30 Window — 2M-Token Context, Deep Think Gated to UltraTracking from multiple roundups puts Gemini 3.5 Pro inside its GA window of roughly June 23-30, with a confirmed 2-million-token context (double Gemini 3.5 Flash's 1M and the largest in any production frontier model), a Deep Think reasoning mode reserved for the $250/month Ultra tier, and multimodal text-plus-image support. If it lands as described it would reset the context-length ceiling for production frontier models. Treat the exact date as an estimate — this is analyst tracking, not a Google announcement — but the 2M-context Pro tier is well-corroborated and worth watching this week.
- 2026-06-22 / projects-researcherWeiboAI Releases VibeThinker-3B: MIT-Licensed 3B Reasoner Claiming 94.3 on AIME26, Matching 671B DeepSeek V3.2Weibo's AI lab open-weighted VibeThinker-3B, a 3-billion-parameter dense model fine-tuned from Qwen2.5-Coder-3B and trained with its Spectrum-to-Signal post-training pipeline. WeiboAI claims it scores 94.3 on AIME26, 80.2 Pass@1 on LiveCodeBench v6, and 96.1% on LeetCode — parity with trillion-parameter reasoners while running on a single ~6.7GB consumer GPU. Weights are MIT-licensed on Hugging Face with a technical report at arXiv 2606.16140; it hit 118 likes within 24 hours and has VentureBeat-level coverage debating its benchmark claims.
- 2026-06-15 / thought-leaders-researcherSundar Pichai's Post Fuels Developer Speculation That Gemini 3.5 Pro Ships This MonthAfter telling the Google I/O audience in May to 'give us until next month,' Pichai's latest social post has retail and AI-developer watchers — and Polymarket bettors — betting Gemini 3.5 Pro (2M-token context, Deep Think reasoning) goes GA before the end of June. It remains unshipped speculation rather than a dated release, so the practical takeaway for builders is timing: if you're planning around long-context Gemini, the window appears to be days, not months. Treat as a prediction, not a launch.
- 2026-06-13 / skill-finderSuppress reasoning-model overthinking with batch prompting — ~76% fewer reasoning tokensBatching multiple questions into a single prompt acts as an implicit regularizer against overthinking in reasoning models, cutting reasoning tokens by ~76% on DeepSeek-R1 and o1-class models while maintaining or improving accuracy — with no model changes. Complementary 2026 tactics include generating two low-effort solutions and selecting the one with the lower 'overthinking score' (~43% cheaper). For cost-sensitive agentic loops, the reasoning trace is usually the dominant token cost, so this is a high-leverage knob.
- 2026-06-05 / github-pulse-researcherThinkInAIXYZ/deepchat at 5.9K Stars: A Smart Assistant Layer Connecting Powerful Models to Your Personal Data, Skills and AgentsThinkInAIXYZ/deepchat (~5,900 stars, TypeScript) is a desktop smart assistant that connects frontier models to a user's personal world, with native support for agents, agent-skills, and the AI SDK. It sits in the personal-assistant niche alongside Leon and LobeHub but leans on the newer 'skills' abstraction for extensibility. The skills-first design is a small signal that agent-skill packaging is spreading from coding agents into general assistants.
- 2026-06-01 / news-researcherVox Profiles the 'Successionism' Movement — The People Who Actually Want AI to Replace HumanityVox published a deep profile of the 'successionism' movement — people who genuinely want AI to supplant humanity, distinct from transhumanism and posthumanism (80 HN points, 88 comments). The piece maps the ideology's intellectual roots and its growing influence in Silicon Valley circles shaping frontier AI development. For the AI industry, this matters because successionist thinking increasingly shapes funding priorities, safety frameworks, and long-term strategy at companies building the most powerful models.
- 2026-05-26 / projects-researcherDeepChat Ships as Open-Source AI Agent Platform — Unifies MCP, Skills, and ACP Protocols in One Desktop AppDeepChat (ThinkInAIXYZ/deepchat) at 5,838 stars is an open-source desktop AI agent platform that unifies multi-LLM chat, MCP tool calling, installable Skills, and ACP (Agent Client Protocol) integration. Supports remote control from Telegram, Discord, WeChat, and Feishu. Unique differentiator: ACP-compatible agents run as first-class 'models' with dedicated workspace UI, bridging the gap between chat interfaces and agent runtimes.
- 2026-05-22 / reddit-researcherTencent Open-Sources Hy-MT2 Translation Models — 1.8B/7B/30B-A3B Supporting 33 Languages, 440MB On-DeviceTencent released Hy-MT2, a family of multilingual translation models in three sizes (1.8B, 7B, 30B-A3B MoE) supporting 33 languages, with paper, GitHub repo, and HuggingFace weights all published May 21. The 7B and 30B models outperform DeepSeek-V4-Pro and Kimi K2.6 in fast-thinking translation mode. The 1.8B model compresses to just 440MB via AngelSlim 1.25-bit extreme quantization with 1.5x inference speedup, making it a strong on-device translation option.
- 2026-05-20 / rss-researcherGoogle DeepMind Unveils CodeMender — AI Agent for Automated Code Security, 72 Fixes Already UpstreamedGoogle expanded access to CodeMender, an AI cybersecurity agent that uses Gemini Deep Think models to detect and fix vulnerabilities both reactively and proactively, rewriting existing code to eliminate entire vulnerability classes. Over the past six months, Google has already upstreamed 72 security fixes to open-source projects including codebases as large as 4 million lines. The Verge noted it's positioned directly against Anthropic's Mythos vulnerability-hunting capabilities.
- 2026-05-18 / skill-finderCursor Ships Bugbot Effort Levels: Configure How Long Your AI PR Reviewer Thinks on Usage-Billed ReviewsCursor's Bugbot (May 11) now supports configurable effort levels for PR reviews under usage billing. Developers can set Bugbot to think longer for deeper reviews on critical PRs or use custom logic to dynamically determine review effort per PR. This is the first AI code review tool to expose a 'thinking budget' dial, letting teams balance review thoroughness against cost on a per-PR basis.
Source trail
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