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AGENTS
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Building AI Search Agents with Built-in UI and Tracing
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4. And you are done.
— Shubham Saboo (@Saboo_Shubham_) 25 septembre 2025
Just run your AI search agent with an in-built UI using the command "adk web"
And your YAML agent just works that too with proper tracing — all out-of-the-box. pic.twitter.com/ZRiid0RWqV4. And you are done. Just run your AI search agent with an in-built UI using the command "adk web" And your YAML agent just works that too with proper tracing — all out-of-the-box.
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GPT-Alpha Promises Significant Improvements for AI Agents
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It looks like GPT-Alpha will be a significantly improved version of ChatGPT Agent. Initial tests are extremely positive. If this comes true, will 2025 really be the year of agents? Was Sama right? It seems increasingly likely that we will get really useful agents in the second
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Databricks Data Science Agent Automates Analytics Workflows
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Our new Data Science Agent transforms Databricks Assistant into an autonomous partner for data science and analytics.
— Databricks (@databricks) 24 septembre 2025
Turn hours of work into minutes while staying in control
Integrated into Notebooks and the SQL Editor, this agent explores data, trains models, fixes errors,… pic.twitter.com/3JquEmLaoJOur new Data Science Agent transforms Databricks Assistant into an autonomous partner for data science and analytics. Turn hours of work into minutes while staying in control Integrated into Notebooks and the SQL Editor, this agent explores data, trains models, fixes errors,
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Mobile AI Billions Interconnected Devices Seamless Intelligence
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The trajectory of mobile AI suggests a world where billions of interconnected devices, applications, and agents will operate with seamless intelligence, transforming personal communications, industrial ecosystems, and everyday human interactions. @Huawei via @antgrasso #5G
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Building and Evaluating Data Agents: New Course with Snowflake
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When data agents fail, they often fail silently – giving confident-sounding answers that are wrong, and it can be hard to figure out what caused the failure.
— Andrew Ng (@AndrewYNg) 24 septembre 2025
"Building and Evaluating Data Agents" is a new short course created with @Snowflake and taught by @datta_cs and… pic.twitter.com/DLQOIPAk2CWhen data agents fail, they often fail silently – giving confident-sounding answers that are wrong, and it can be hard to figure out what caused the failure. "Building and Evaluating Data Agents" is a new short course created with @Snowflake and taught by @datta_cs and
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Problem Complexity and Human Baseline Improvements in RL Research
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Cheers for taking a swing at it, but the problem is far from trivial, even if the final solutions are fairly compact code. Note that they upgraded the human baselines later. The Muesli paper has higher numbers than the original DQN paper.
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LangChain Rewrites DeepAgents Package for v1 Release
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We rewrote our deepagents package on top of the upcoming LangChain v1 release! Deepagents excel at agentic tasks by leveraging their planning, filesystem, and sub-task capabilities. We built these features with LangChain middleware (new in LangChain 1.0!), and as a result,
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Generative and Agentic AI: Tech Enablers and Investment Priorities
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Companies are investing in generative & agentic AI — but what tech supports it behind the scenes? @HighByteInc
, @Verdantix & @Microsoft reveal the tech enablers, real-world success stories & investment priorities in this webinar – https://
buff.ly/oYdluDj #sponsored #highbyte_iiot