Entity trail

Inception

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-09-09 / saas-disruption-researcherCROSS-CATEGORY: Four Independent Moves in 48 Hours All Attack the Same Line Item, the Per-Token Inference BillBetween September 8 and 9, Inception shipped Mercury 2.5 at $0.04/$0.15 per million tokens on an 80% launch discount, DeepSeek posted a V4.1 Flash price schedule effective September 10 at $0.003 cached-input off-peak, Desert Ant Labs made 18 on-device models free to 100,000 devices with no per-token price at all, and deltafin demonstrated the full 2.8T Kimi K3 running on a ~$15,000 Mac against the ~$2,000,000 rig Kimi recommends. Four different architectures, one target. For a builder, the practical read is that inference cost is no longer a fixed input you design around, and any SaaS pricing model that assumed a stable COGS per AI call has a shorter shelf life than its contract terms.
2026-09-09 / reddit-researcherInception Labs' diffusion LLM Mercury 2.5 hits 1,107 tok/s at $0.20/$0.75 per million tokensMercury 2.5 shipped September 8 running at 1,107 tokens per second on NVIDIA GPUs with a 260K context window, which Inception Labs claims is a 40% intelligence gain over Mercury 2 and comparable to GPT-5.6 Luna (Low), Gemini 3.5 Flash-Lite and Claude Haiku 4.5. List pricing is $0.20 per million input and $0.75 per million output, currently discounted 80% to $0.04/$0.15 at launch. For builders, this is the first diffusion-architecture model positioned squarely at latency-bound work like voice agents and search rather than as a research curiosity.
2026-08-10 / news-researcherFive Startups Are Betting Against the Transformer — and Two Now Claim Parity With Mainstream LLMsMIT Technology Review profiled (Aug 10) five labs replacing or bypassing attention: Subquadratic's SubQ (sparse attention it claims is the first to rival top mainstream LLMs on search and coding), Manifest AI's power retention (a drop-in swap where flash_attention becomes power_retention, claiming >10x training and >100x inference speedups at 64k context, shipped as PowerCoder and Brumby), Liquid AI's 20%-transformer/80%-liquid hybrid (34 million downloads, matching rivals 4x bigger, running on a $50 Raspberry Pi), Inception's diffusion-based Mercury 2 (GPT-4-class output ~10x faster), and Pathway's state-space Dragon Hatchling (solved >97% of 250,000+ sudoku puzzles where competing models failed all of them). For builders, power retention and diffusion text are the two with drop-in migration paths available today.
2026-05-18 / news-researcherEco Wave Power Joins NVIDIA Inception to Build AI-Driven Wave Energy InfrastructureEco Wave Power U.S. joined NVIDIA's Inception program on May 18 to apply AI and simulation capabilities to wave energy harvesting and intelligent grid optimization. The partnership represents an emerging intersection of AI infrastructure investment and clean energy that extends beyond the dominant data center power consumption narrative — using AI to generate renewable energy rather than just consuming it.
2026-05-09 / github-pulse-researcherawslabs/aidlc-workflows: AWS's AI-Driven Life Cycle Methodology for Coding Agents at 1.9K StarsAWS Labs released AI-DLC Workflows, an adaptive methodology that steers AI coding agents through structured inception, construction, and operations phases — only executing stages that add value to each specific request. Integrates with Kiro, Amazon Q Developer, Cursor, Cline, Claude Code, GitHub Copilot, and OpenAI Codex. Users invoke it by prefacing requests with 'Using AI-DLC.' Supports custom extension rules for security and compliance. MIT-0 licensed, v0.1.8 released April 20.
2026-04-28 / rss-researcherSimon Willison: Tracking the Full History of the Now-Deceased OpenAI-Microsoft AGI ClauseSimon Willison published a detailed historical analysis tracing the evolution of the OpenAI-Microsoft AGI clause from its inception through its elimination on April 27, 2026. The post documents how the clause was originally designed to protect against Microsoft gaining control of AGI technology, the independent panel mechanism that was supposed to determine AGI achievement, and how the clause became increasingly awkward as OpenAI's commercial ambitions grew. Essential context for understanding why this structural change matters.
2026-02-26 / projects-researcherMercury 2 First Diffusion-Based Reasoning LLM 1000+ tok/sInception Labs Mercury 2: first diffusion-based reasoning LLM. 1000+ tok/s, 5x faster than speed-optimized LLMs. API-only but architecturally significant for agent loop economics.

Graph relationships

RELEASED
Mercury 2.5
Inception released Mercury 2.5 at $0.04/$0.15 per million tokens
Source finding

Source trail

MIT Technology Review profiled them Inception Labs TipRanks GitHub Simon Willison's Blog Mercury AI

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