Every enterprise will have its own model-harness-sandbox-eval flywheel with token value per watt optimization. This is the future. Simple reason: tacit knowledge about the domain and customers and their workflows that the company uniquely understands and has built trust around.
AUTOMATION
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NVIDIA SOLAR automates speed-of-light performance analysis from PyTorch/JAX
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NEW paper from NVIDIA. (bookmark it) Speed-of-light performance analysis tells you the theoretical floor of a workload, but teams still derive it by hand and freeze it. SOLAR automates the whole thing straight from PyTorch or JAX source. An LLM frontend translates arbitrary
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Voice-controlled transforms and blocking out with Unreal MCP
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What if you used the new unreal MCP so a lot of the transforms and blocking out even is doing via voice and you can just tweak it
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iPhone agent responding to leads on the move: undervalued
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The iPhone agent responding to leads on the move is probably the most undervalued part of the system.
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Localize ads Recipe now available via Runway API for translation
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Localize ads is now available as a Recipe via the Runway API.
— Runway (@runwayml) 27 juin 2026
You can now translate static ads and graphic assets via a single API call. https://t.co/T4b7oMPSfdLocalize ads is now available as a Recipe via the Runway API. You can now translate static ads and graphic assets via a single API call.
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@reach_vb — 2026-06-27
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True story: I stopped thinking about context since GPT 5.3 Codex Single project focused threads with the recent capability of codex to spinoff new threads is goated! Codex continues and goes through compaction but remembers all the important stuff and if not, it’ll look up
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GPT-5.6 ships in three capability tiers, Sol is flagship
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@OpenAI just turned the frontier into a choice.
Instead of one model, GPT-5.6 ships as three capability tiers: Sol — the new flagship. Sets a state of the art on Terminal-Bench 2.1 (complex command-line, multi-step agent work) and is OpenAI's most capable model yet for -
TCS’s Besprosvan: AI supports factory workers, not replaces, via hazard reduction ROI
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Sol Besprosvan from TCS framed it as AI supporting professionals on factory floors, not replacing them. The use case anchor is hazard reduction, which is where the ROI conversation is easiest to win internally.
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OpenHuman’s Super Context reads your screen before you type
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ESTE AGENTE YA CONOCE TU CONTEXTO ANTES DE QUE SE LO DIGAS
— Nico (@nicos_ai) 27 juin 2026
Se trata de Super Context, lo nuevo de OpenHuman
Abres un chat nuevo, escribes una línea y ya sabe en qué estás trabajando
El truco: antes de responderte, va y se documenta solo
→ te lee la pantalla para ver qué… https://t.co/3Qf5Nj2hFc pic.twitter.com/wz0nNCEPFfTHIS AGENT ALREADY KNOWS YOUR CONTEXT BEFORE YOU SAY IT This is Super Context, the new feature from OpenHuman You open a new chat, type a line, and it already knows what you're working on The trick: before replying, it will research on its own → it reads your screen
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AgentSociety2 lets AI be social scientist and test subjects
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What if AI could run entire social science experiments from hypothesis to manuscript—while also being the test subjects? Tsinghua University researchers present AgentSociety2: an Integrated Research Environment that lets LLM agents play both roles—AI social scientists designing