Microsoft and OpenAI tore up the exclusivity clause that locked OpenAI’s models to Azure since 2019. OpenAI can now sell natively on AWS, Google Cloud, and Oracle. Microsoft keeps a 27% stake worth $228B at OpenAI’s $852B valuation, a 17.6x return on roughly $13B invested.
The renegotiation was forced by OpenAI’s $50B Amazon deal in February, which was legally incompatible with the old exclusivity. Microsoft accepted because a free OpenAI growing faster is worth more than a captive one hitting Azure’s ceiling.
In today’s indie hacker news:
- Microsoft tears up OpenAI exclusivity, keeps $228B stake
- GitHub Copilot kills flat pricing, moves to token credits June 1
- 4TB of voice samples stolen from 40K AI contractors at Mercor
- China exit-bans Manus founders, blocks Meta’s $2B deal
- Solo dev’s OSS agent beats JetBrains at $0.18 per task
TOP STORIES
THE $228B BREAKUP
Microsoft and OpenAI tear up their exclusive deal
The story: Microsoft and OpenAI rewrote their partnership on April 27, ending the exclusivity in place since 2019. The amended deal makes Microsoft’s IP license non-exclusive through 2032, kills the AGI clause that governed payout triggers, and frees OpenAI to deploy on AWS, Google Cloud, and Oracle. Microsoft stops paying OpenAI a revenue share. OpenAI keeps paying Microsoft through 2030.
The details:
- Microsoft invested ~$13B total. Their 27% stake is worth $228B at OpenAI’s $852B valuation. 17.6x return.
- OpenAI’s $250B Azure compute contract survives intact
- Amazon committed up to $50B plus a $38B AWS cloud deal in February, which forced the renegotiation
Why builders care: If you were on AWS or Google Cloud and wanted native OpenAI models with enterprise SLAs, you were stuck migrating to Azure. That gate just collapsed.
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THE CREDIT CRUNCH
GitHub Copilot ditches flat pricing for token credits
The story: Starting June 1, GitHub Copilot replaces Premium Request Units with AI Credits. 1 credit = $0.01. Pro stays $10/mo, Pro+ stays $39/mo. Code completions stay unlimited. Chat, agent mode, and code review consume credits. Annual plans are being killed: no new models or features from June 1, and at expiry subscribers drop to Copilot Free.
The details:
- GitHub CPO Mario Rodriguez: “A quick chat question and a multi-hour autonomous coding session can cost the same. That’s no longer sustainable.”
- Internal inference cost nearly doubled week-over-week since January
- Business gets promotional $30/user/mo credits June through August (vs standard $19)
- 4.7M paid subscribers, 20M+ total users
Why builders care: Tab completion users won’t notice. Agentic-mode power users will. A 2-hour autonomous session can burn your entire $10 budget. Cursor ($20/mo), Claude Code (pay-per-token), and Windsurf ($15/mo) already have predictable agentic pricing.
YOU CAN’T ROTATE YOUR VOICE
4TB of voice samples stolen from 40K AI contractors at Mercor
The story: Lapsus$ stole 4TB from Mercor: 939 GB of source code, 211 GB of user database, and roughly 3 TB of recordings and identity documents from 40,000+ AI contractors. These people labeled data and recorded voice samples for Anthropic, OpenAI, and Meta.
The attack came through a supply-chain compromise. TeamPCP poisoned Trivy, then inserted a credential-stealer into the open-source LiteLLM library. The malicious code was live for 40 minutes. That was enough.
The details:
- Voice samples averaged 2-5 minutes per person, paired with government-issued ID documents
- Modern voice cloning needs roughly 15 seconds for a convincing clone
- Meta indefinitely paused all Mercor contracts. Six class-action lawsuits filed.
Why builders care: Passwords get rotated. Voices don’t. If your data pipeline uses third-party contractors, audit your dependency pinning and treat biometric assets like production credentials.
THE GREAT UN-BUY
China blocks Meta’s $2B acquisition of Manus
The story: China’s NDRC ordered Meta to unwind its completed $2B acquisition of Manus on April 27. The deal closed in December 2025. Manus’s roughly 100 employees had already relocated to Meta Singapore. In March, Beijing summoned co-founders Xiao Hong and Ji Yichao, then issued exit bans. They can’t leave China.
The NDRC classified agentic AI as dual-use. Singapore incorporation didn’t matter. Beijing cared about where the code was written and the team was trained.
The details:
- Meta paid $2B for a company that raised at $500M valuation eight months earlier
- Manus hit $90M ARR within 5 months of launch, $125M run rate by December
- Both founders are under exit bans. Neither responded to requests for comment.
- First Chinese government reversal of an already-completed US acquisition
Why builders care: “Singapore washing” is dead. Build in China, relocate HQ to Singapore, sell to a US acquirer. Manus executed it perfectly and it still got unwound. Exit bans are real.
THE $0.18 BENCHMARK
Solo dev’s OSS agent beats JetBrains on TerminalBench
The story: Max Trivedi forked Cline, removed 40,000 lines, added AST-native editing and hash-anchored diffs, and ran it on Gemini 3 Flash Preview. Result: 65.2% on Terminal-Bench 2.0, above JetBrains’ Junie CLI (64.3%) and Google’s own baseline (47.6%). Cost: $0.18 per task vs $0.38-$0.73 for competitors.
The details:
- Gemini 3 Flash Preview: $0.50/M input, $3/M output, 1M context window
- Leaderboard-compliant run. No AGENTS.md files inserted.
- The catch: Codex + GPT-5.5 now leads at 82.0%. The #1 claim is time-stamped.
- 690 GitHub stars. An earlier Show HN got 2 upvotes. The benchmark drove discovery.
Why builders care: Agent harness design matters as much as model choice. Gemini Flash at $0.50/M input is good enough for agentic coding that previously assumed frontier models.
TRENDING TODAY
🔬 Open model throughput week. Three drops in 24 hours. Luce DFlash brings 2x throughput for Qwen3.6-27B on a single RTX 3090 via speculative decoding (78 tok/s vs 40 baseline). Microsoft open-sourced TRELLIS.2, a 4B-parameter image-to-3D model at 1536³ resolution, MIT licensed. And Xiaomi’s MiMo-V2.5-Pro (42B active params) scored 57.2% on SWE-bench Pro, beating Claude Opus 4.6. r/LocalLLaMA is eating well.
📚 Talkie: a 13B LLM trained on pre-1930 text. Built by @AlecRad and @status_effects, trained on 260B tokens of exclusively pre-1931 English. It defends the luminiferous aether and distrusts special relativity. Marc Andreessen called it “like discovering a new planet.” 156 HN points.
🖥️ 16GB VRAM? Plug in your old GPU. Viral r/LocalLLaMA post (350 points, 172 comments) shows how llama.cpp’s --tensor-split distributes model layers across your main card and a spare. 3-4x faster than CPU offloading for 70B+ quantized models.
FIRST DOLLAR
SPEEDRUN TO €100
A builder on r/SaaS hit €100 MRR. 88 upvotes, 45 comments. Details are thin but the engagement is real. The first triple digits always hit different.
FIRST CLIENT THAT ISN’T MOM
Another r/SaaS founder landed their first paying client in two weeks. 39 upvotes, 51 comments. High comment ratio means people cared enough to ask how.
STACK OF THE DAY
🛠️ Archik - Architecture diagrams as YAML, with a built-in Claude Code skill. Define your system in YAML, render it as a diagram. Open-source, free.
Not sponsored. We just feature tools builders would actually use.
BOOKMARKED TODAY
🔵 Is my blue your blue? - Interactive experiment testing whether people perceive colors the same way. 391 HN points.
💾 Pgbackrest is no longer maintained - The widely-used PostgreSQL backup tool lost its maintainer. 401 HN points. If your backup strategy depends on pgbackrest, start watching the forks.
🎤 microsoft/VibeVoice - Microsoft open-sourced voice-powered vibe coding. Trending on GitHub, spotted by Simon Willison.
Curated by AI, built by a human.