Introducing the Gemini 2.5 model family: – Gemini 2.5 Pro (Stable, no changes from 06-05)
– Gemini 2.5 Flash (Stable, updated pricing from 05-20)
– Gemini 2.5 Flash-Lite (Preview, small reasoning model) More info in
ENTERPRISE AI
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Google Introduces Gemini 2.5 Model Family Updates
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Google Launches Gemini 2.5 Flash and Pro Models
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It's a BIG day for Gemini 2.5 — 2.5 Flash and 2.5 Pro are now stable and generally available in AI Studio, Vertex AI, and the @GeminiApp — We're launching a preview of the new 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet More info on each model below
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Morningstar Builds AI Research Assistant Mo Using LangGraph
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Investment research, accelerated. @MorningstarInc built Mo, their AI research assistant, using LangGraph — helping users cut through massive datasets to surface precise, verifiable investment insights.
— LangChain (@LangChain) 17 juin 2025
Aisis Julian (Senior Software Engineer) and her team at Morningstar have… pic.twitter.com/jY661Ze4vcInvestment research, accelerated. @MorningstarInc built Mo, their AI research assistant, using LangGraph — helping users cut through massive datasets to surface precise, verifiable investment insights. Aisis Julian (Senior Software Engineer) and her team at Morningstar have
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Watch Full Video Customer Stories Agent Engineer
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Watch the full video: https://
langchain.com/customers/?utm
_medium=social&utm_source=twitter&utm_campaign=q2-2025_customer-videos_co
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AI in the Workplace: Essential Statistics for Enterprise Leaders
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2025 #AI In the Workplace – Essential Statistics for Enterprise Leardes by @conorgrennan http://
bit.ly/4053LsO @mvollmer1 @enilev @CatherineAdenle @anijov @FmFrancoise @AkwyZ @jblefevre60 @EvanKirstel @BetaMoroney @ipfconline1 @Kevin_ODonovan @gvalan @JAdP @CurieuxExplorer -
Prompt Quality is Key to Reliable AI Products and User Satisfaction
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As AI agents become more complex, the quality of prompts directly impacts the reliability of your AI product. Bad prompts = unreliable AI = frustrated users.
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LLM Weaknesses: Making Large Language Models Practical
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LLMs are not plug-and-play geniuses; they often need extra work to be practical in real-world applications. That's what this week's iteration is about: https://
open.substack.com/pub/louisbouch
ard/p/llm-weaknesses-101-what-they-really?r=25qlky&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
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AI Transforms Aerospace Defense Manufacturing Speed Quality Cost
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Just hosted @iBASEt_global CEO @NaveenPoonian on #CXOSpice We explored how AI is transforming aerospace & defense manufacturing: Speed, quality & cost via the Golden Triangle Workforce shifts & knowledge capture Real-world AI in action (incl. Northrop Grumman)
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ElevenLabs Adds Model Context Protocol Support for Voice Agents
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ElevenLabs said its Conversational AI offering now supports Anthropic's open Model Context Protocol (MCP) The development will enable ElevenLabs users to build voice agents that can easily connect to data from third-party apps like Salesforce, HubSpot, and Gmail
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OpenAI Wins $200M U.S. Department of Defense Contract
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OpenAI won a $200M U.S. DoD contract
— Rowan Cheung (@rowancheung) 17 juin 2025
The one-year pilot will see OAI deliver frontier AI to address national security challenges in "warfighting and enterprise domains"
This marks the lab's foray into defense tech, while sticking to its usage policiespic.twitter.com/Sc636XFwCqOpenAI won a $200M U.S. DoD contract The one-year pilot will see OAI deliver frontier AI to address national security challenges in "warfighting and enterprise domains" This marks the lab's foray into defense tech, while sticking to its usage policies