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Mora launches AI-native analytics platform with verified SQL answers

By

@testingcatalog

–

09 June 2026 18h35

Mora has launched its AI-native analytics platform, where teams can ask questions about hard revenue, churn, and product and get verified answers in seconds, with the SQL cleanly shown so every number can be checked.

It can connect to warehouses, databases, Stripe, and CRMs,… https://t.co/nk8Ivyy7EW pic.twitter.com/LtW12ywPrR
— 🚨 AI News | TestingCatalog (@testingcatalog) 9 juin 2026

Mora has launched its AI-native analytics platform, where teams can ask questions about hard revenue, churn, and product and get verified answers in seconds, with the SQL cleanly shown so every number can be checked. It can connect to warehouses, databases, Stripe, and CRMs,

→ View original post on X — @testingcatalog

9 June 2026
Apology for using Gemini 3.5 Live Translate instead of Flash

By

@officiallogank

–

09 June 2026 18h02

sorry not Flash ** Just Gemini 3.5 Live Translate : )

→ View original post on X — @officiallogank

9 June 2026
Managed Deep Agents: Real Interactions with Endpoints and SDK

By

@langchain

–

09 June 2026 18h01

Managed Deep Agents is built to handle real-world interactions:

30+ endpoints for agents, integrations, connections, triggers, threads, and runs

Purpose built task queues to handle bursty traffic

SDKs for chat, streaming, and HITL pic.twitter.com/gK3ToNTO1C
— LangChain (@LangChain) 9 juin 2026

Managed Deep Agents is designed to handle real-world interactions: Over 30 endpoints for agents, integrations, connections, triggers, threads, and executions. Task queues specifically designed to handle burst traffic. SDK

→ View original post on X — @langchain

9 June 2026
LangChain Chicago event featuring United on Deep Agents

By

@langchain

–

09 June 2026 17h32

Join us in Chicago on June 22nd for an evening of insights from LangChain and @focused_dot_io
, AI talks, and community connections! RSVP here: https://
luma.com/l4kbbuln First, @united will speak about how they are leveraging Deep Agents for spec-driven development. Then,

→ View original post on X — @langchain

9 June 2026
Introducing Gemini 3.5 Flash Live Translate with 70+ languages

By

@officiallogank

–

09 June 2026 17h28

Introducing Gemini 3.5 Flash Live Translate, our real time speech to speech translation model which supports more than 70 languages (both in and out), and is so natural.

It is available in the Gemini API, AI Studio, & Google Translate right now + coming soon to Google Meet!! pic.twitter.com/nDiaqrbHgF
— Logan Kilpatrick (@OfficialLoganK) 9 juin 2026

Introducing Gemini 3.5 Flash Live Translate, our real time speech to speech translation model which supports more than 70 languages (both in and out), and is so natural. It is available in the Gemini API, AI Studio, & Google Translate right now + coming soon to Google Meet!!

→ View original post on X — @officiallogank

9 June 2026
Launch of Gemini 3.5 Live Translate for real-time voice translation

By

@googleai

–

09 June 2026 17h18

Today, we released Gemini 3.5 Live Translate, our latest audio model for live speech-to-speech translation.

It supports over 70 languages and starts translating as soon as you start talking, streaming translations while listening to what you say next. No awkward pauses or choppy… pic.twitter.com/GecThLW2gg
— Google AI (@GoogleAI) 9 juin 2026

Today, we launched Gemini 3.5 Live Translate, our latest audio model for real-time speech-to-speech translation. It supports over 70 languages and starts translating as soon as you begin speaking, streaming translations while

→ View original post on X — @googleai

9 June 2026
Unified platform for training and testing world models

By

@alphasignalai

–

09 June 2026 17h12

You can now train and test world models in one place. Researchers kept rebuilding the same machinery for world models. These systems let agents imagine outcomes before acting. Every project shipped its own training stack and data loader. Nothing was comparable.

→ View original post on X — @alphasignalai

9 June 2026
LangSmith enables full tracing and evaluations with per-article breakdown

By

@langchain

–

09 June 2026 16h57

With LangSmith, your organization has full tracing across every tool call, retrieval step, and reasoning node gives you the audit trail, the explainability layer, and the foundation to run evaluations. Get an Article by Article breakdown:

→ View original post on X — @langchain

9 June 2026
Connecting external agent via skill to MagiPath projects with Codex plugin

By

@skirano

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09 June 2026 16h43

No, you just connect your external agent via a skill and then can communicate to any MagiPath project. We even have a Codex plugin now. In Codex or Cursor, you can have MagicPath running directly in their native browser as an extended canvas. https://t.co/pfGGMdT2wk
— Pietro Schirano (@skirano) 9 juin 2026

No, you just connect your external agent via a skill and then can communicate to any MagiPath project. We even have a Codex plugin now. In Codex or Cursor, you can have MagicPath running directly in their native browser as an extended canvas.

→ View original post on X — @skirano

9 June 2026
Using LLM to draft implementation plans with checklists in .md

By

@rasbt

–

09 June 2026 16h23

Yes. What works well though is drafting plan documents. In my experience, having the LLM write out an implementation plan that it can then check of in a .md helps a lot

→ View original post on X — @rasbt

9 June 2026

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