[agent] This is where you specify the name of the agent – this is the deployment name in LangSmith This is also where you specify the model name. We support a lot of models! Not only ones from OpenAI, Anthropic, Google, but also @OpenRouter @FireworksAI_HQ @baseten @nvidia and
AGENTS
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DeepAgents Deploy: Configuration-Driven Cloud Agent Harness Setup
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DeepAgents deploy is a simple, configuration driven way to get an agent harness deployed to the cloud deepagents.toml is the file that configures it. It has four sections:
– agent
– sandbox
– auth
-frontend Here's what each one does -
Hassabis: AGI Is Close, Missing Continual Learning and Memory
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Demis Hassabis: We're on the right track to AGI; we probably have all the components. We're just missing a few things like continual learning and solving the memory problem. pic.twitter.com/zuIKOiKnB7
— Chubby♨️ (@kimmonismus) 30 avril 2026Demis Hassabis: We're on the right track to AGI; we probably have all the components. We're just missing a few things like continual learning and solving the memory problem.
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Small Models Handle Repetitive Agent Task Layers Efficiently
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Any repetitive agent task layer – routing, validation, retrieval – small models can handle it
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AI-Powered Dispute Responder Wins First $1,199 Stripe Case
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For the first time in a decade on @Stripe I've started winning disputes with my vibe coded dispute responder I used to ignore disputes so I almost always lost them, now I've started winning, this one is the first big dispute for $1,199 USD! Whenever a dispute comes in, my
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Glean Releases Waldo 30B Agentic Search Model for Enterprise AI
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Small Language Models are the Future of Agentic AI!
— Sumanth (@Sumanth_077) 30 avril 2026
Glean just released Waldo – a 30B agentic search model that runs before frontier LLMs.
Search is where most agentic work begins. You ask about a project, customer, process, or decision. The agent searches internal docs, reads… pic.twitter.com/8yy5Dj99lvSmall Language Models are the Future of Agentic AI! Glean just released Waldo – a 30B agentic search model that runs before frontier LLMs. Search is where most agentic work begins. You ask about a project, customer, process, or decision. The agent searches internal docs, reads
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GPT Powers ML Intern Tool for Dataset and Model Workflows
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Trying @OpenAI GPT 5.5 in ml intern to create datasets, train models, optimize models (or create reachy mini apps). Very cool! https://
huggingface.co/spaces/smolage
nts/ml-intern
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Chronicle Gives Codex Passive Memory of Computer Activity
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chronicle gives codex passive memory over what you’ve been doing with your computer, which unlocks surprising use cases
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Homelab Becomes Personal Cloud With GPU and AI Agents
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~2,000 miles from home – SSH into the mothership
– WireGuard tunnel like I’m on LAN
– Resolve everything over private DNS
– Routes via reverse proxies – Dispatch jobs to GPUs
– Sync state across agents
– Search conversations, traces, artifacts, logs My homelab is now the cloud -
HELIOS-002 AI Agent Benchmark Run Shows Energy Compute Resilience Results
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HELIOS‑002 ran GitHub Actions success Public GitHub Pages scoreboard updated Source docket exists Reusable capability under test: EnergyComputeResilienceCompiler‑v0 Task count: 8 Transfer task count: 5 Replay passes: 8 B6 beats B5 count: 5 Mean