Everything in AI is an infra problem btw Like that’s always gonna be the final boss
SYSTEMS
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Architecture: iii shared runtime connects services, solving integration contract issues.
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Your Python pipeline and TypeScript API can't call each other. That's not a tooling problem, it's architectural.
— AlphaSignal AI (@AlphaSignalAI) 2 juin 2026
Every new backend service creates N new integration contracts. 20 services, ~190 edges.
iii is an open-source shared runtime where every service connects once over… https://t.co/zO21Xo2wDM pic.twitter.com/FLVsCV9AH9Your Python pipeline and TypeScript API can't call each other. That's not a tooling problem, it's architectural. Every new backend service creates N new integration contracts. 20 services, ~190 edges. iii is an open-source shared runtime where every service connects once over
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Merge launches Agent Handler for Employees, secure AI integration with company software.
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🆕: Merge just launched Agent Handler for Employees — the safest way to connect AI to your company software.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 2 juin 2026
✅ Connects Claude, ChatGPT, Cursor, Copilot & more to any third-party system
✅ IT imports employees → maps them to approved tools
✅ Built-in data loss prevention… pic.twitter.com/RgQvgShtNJ: Merge just launched Agent Handler for Employees — the safest way to connect AI to your company software. Connects Claude, ChatGPT, Cursor, Copilot & more to any third-party system IT imports employees → maps them to approved tools Built-in data loss prevention
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Why AI will fall apart: Winner-take-all competition and similar technical solutions
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Why things will eventually fall apart: 1. Everybody, even Google, seems to be treating AI as if it were some kind of winner take all competition like web search was, in which Google taking over 95% 2. But everybody is building essentially the same technical solution with
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ActiveGraph agents coordinate via shared graph without direct agent communication
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especially around the smaller workers piece at the end. activegraph agents don’t have agents that talk to each other, nor workflows, but tons of mini agents coordinating through a shared graph
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Resume restores persisted conversation history but not live processes
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Resume restores the persisted thread: conversation/run history plus thread settings/config that are saved with it. It does not resurrect live tool/process state. So if Codex changed files, those filesystem changes are still there. But open shell processes, transient handles,
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Codex now supports Amazon Bedrock with GPT-5.4 and GPT-5.5
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PSA: Codex now works with Amazon Bedrock! To configure, set: model_provider = "amazon-bedrock" and Codex can run local CLI, desktop, and IDE workflows against OpenAI models on Bedrock, using AWS-native auth/IAM. Both GPT-5.4 and GPT-5.5 are supported. Big unlock for teams
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Domino’s Blueprint: Frictionless AI Governance for Financial Services Onboarding
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Financial services AI governance doesn't have to mean friction. Domino's new Blueprint shows how to build role-aware onboarding apps that embed compliance controls from day one, so new users stay productive and shadow AI risk stays managed. https://
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New Approach to Agent Skills: Paper, Repo, and Site
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Paper (arXiv):
https://arxiv.org/abs/2605.31264 (~25 min read)
Repo (GitHub, MIT):
https://github.com/titanwings/colleague-skill
… (~10 min setup)
Gallery and site:
https://titanwings.github.io/colleague-skill-site/
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Agent Skills standard:
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Search as Code beats all competitors on five benchmarks
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We tested Search as Code on deep research (DSQA, BrowseComp, HLE) and wide research benchmarks (WideSearch, WANDR). It matches or beats every competing system across all five.