10. Voice dictation that really works. Open any keyboard, tap the microphone and speak. The 2026 AI dictation automatically punctuates, follows context and correctly distinguishes "là", "leurs" and "ils sont". Speak a complete WhatsApp message or an email.
AUTOMATION
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Initial deployment: small step, essential repeatable improvement cycle
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One thing we have observed quite consistently: deploying the first version is only a small part of the work. A key part of building reliable agents is having a repeatable lifecycle to improve them over time.
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Automating post-training with continual learning and OPSD-RL interpolation
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on a technical level it feels like we're automating post-training we want to take a bunch of data and output a post-trained model – then iterate this process many times. continual learning by induction the ideal algorithm is an interpolation of OPSD and RL with a lot of
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Thousands of agents in loops overnight is not everyone’s reality yet
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"this is just how engineering is done now" is doing a lot of work haha, thousands of agents in loops overnight is his reality, not exactly everyone's yet.
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LangSmith Fleet: Two Types of Agents, General and Specialized
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LangSmith Fleet offers two types of agents: General-Purpose Chat and Specialized Agents. An analysis of why this choice is deliberate and the use cases for each.
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Latitude: open-source platform for monitoring AI agents in production
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Latitude is released as an open-source, MIT-licensed platform for monitoring AI agents in production, letting users surface what an agent does once it meets real users, catch recurring failures, and route fixes back into the editor.
— 🚨 AI News | TestingCatalog (@testingcatalog) 23 juin 2026
Users can cluster thousands of live… https://t.co/EkRDGxX0Yy pic.twitter.com/p5ALx8rvpzLatitude is released as an open-source platform under the MIT license for monitoring AI agents in production, allowing users to highlight what an agent does once it encounters real users, to detect recurring failures and
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NVIDIA Agent Toolkit: AI agents for workflows
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Specialized AI agents help enterprises turn AI into systems built for their own workflows.
— NVIDIA (@nvidia) 23 juin 2026
NVIDIA Agent Toolkit brings together open Nemotron models, tools, skills and secure runtime support to help teams build agents tuned for domain-specific work.
Learn more:… pic.twitter.com/rPsXufoTHDSpecialized AI agents help businesses transform AI into systems designed for their own workflows. The NVIDIA Agent Toolkit brings together open Nemotron models, tools, skills, and secure runtime support to help teams
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Open-source monitor tracks agent behavior and failures
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Tracking API costs is easy.
— Charly Wargnier (@DataChaz) 23 juin 2026
Knowing if your agents actually annoyed a user is harder.
Latitude V2 fixes this.
It's an open-source (MIT) monitor reading 100% of traces to catch:
→ bad behavior
→ cluster failures
→ build evals
Fully automated. 100% Free and open-source 👀↓ https://t.co/Yss9fsZWuHTracking API costs is easy. Knowing if your agents actually annoyed a user is harder. Latitude V2 fixes this. It's an open-source (MIT) monitor reading 100% of traces to catch:
→ bad behavior
→ cluster failures
→ build evals Fully automated. 100% Free and open-source ↓ -
Momentic launches agents to verify AI-generated code
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AI now writes nearly half of all code, but almost no one is verifying it before it ships. Momentic just launched agents that close that gap; they learn your entire product, catch bugs before they hit production, and open the PR to fix them.
— AI Breakfast (@AiBreakfast) 23 juin 2026
In beta alone the system analyzed… https://t.co/T8lSaHPMrJAI now writes nearly half of all code, but almost no one checks it before deployment. Momentic has just launched agents that fill this gap; they learn your entire product, detect bugs before they reach the
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NVIDIA brings reliable AI agents 24/7 to telecom operations
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At #DTWIgnite, in partnership with our partners, we present the data, models, simulation, and secure execution stack enabling telecom operators to build flows of