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Introducing NEO: The first Autonomous Machine Learning Engineer. It works like a full-stack ML engineer that never sleeps: handling data exploration, feature engineering, training, tuning, deployment, and monitoring, end to end. Powered by 11 specialized agents, NEO runs autonomously, saving ML engineers thousands of hours and making them 10x...

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Neo AI

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859,951 görüntüleme • 10 ay önce •via X (Twitter)

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Introducing NEO: The first Autonomous Machine Learning Engineer. NEO is a multi-agent system that automates the entire ML workflow, saving engineers thousands of hours of grunt work. Our recent advancements in multi-step reasoning and memory orchestration have enabled NEO to excel at solving complex Machine Learning problems on its own from data engineering to deployments of ML models. Benchmarks: NEO was tested against 50 Kaggle competitions and scored a medal in 26% of them, far superior than the previous state of the art performance of 16.9% by Open AI’s O1 with AIDE scaffolding on the MLE bench With these capabilities, NEO aims to help every ML engineer become superhuman and focus on real innovation instead of the existing grunt work Check out NEO in the thread below:
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Introducing NEO: The first Autonomous Machine Learning Engineer. NEO is a multi-agent system that automates the entire ML workflow, saving engineers thousands of hours of grunt work. Our recent advancements in multi-step reasoning and memory orchestration have enabled NEO to excel at solving complex Machine Learning problems on its own from data engineering to deployments of ML models. Benchmarks: NEO was tested against 50 Kaggle competitions and scored a medal in 26% of them, far superior than the previous state of the art performance of 16.9% by Open AI’s O1 with AIDE scaffolding on the MLE bench With these capabilities, NEO aims to help every ML engineer become superhuman and focus on real innovation instead of the existing grunt work Check out NEO in the thread below:

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🚨 Copilots are not enough for ML engineering. Building ML pipelines with code snippets is like bringing a knife to a gunfight. Enter NEO by Neo AI: The first Agentic ML Engineer. 🔗
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🚨 Copilots are not enough for ML engineering. Building ML pipelines with code snippets is like bringing a knife to a gunfight. Enter NEO by Neo AI: The first Agentic ML Engineer. 🔗

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📢 Introducing Neo: a cloud-based AI security engineer for real-world security work. A framework for automated security workflows inside your environment, Neo owns workflows like vuln triage, feature reviews, pentesting, and continuous compliance. It learns your stack, remembers context, and runs tasks in parallel in isolated sandboxes. Read the launch blog:

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Reinforcement learning is mind-blowing! Here's a reinforcement learning agent that mastered Breakout and is playing at a superhuman level (score 350+). The crazy part: We didn't write the code or the pipeline. NEO, the first autonomous AI Engineer, did it. From a prompt! It trained over 24 million steps. Evaluated itself. Iterated. Everything under 50 minutes. NEO designed the environment, the reward function, and the entire pipeline. Agentic AI is here!
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Reinforcement learning is mind-blowing! Here's a reinforcement learning agent that mastered Breakout and is playing at a superhuman level (score 350+). The crazy part: We didn't write the code or the pipeline. NEO, the first autonomous AI Engineer, did it. From a prompt! It trained over 24 million steps. Evaluated itself. Iterated. Everything under 50 minutes. NEO designed the environment, the reward function, and the entire pipeline. Agentic AI is here!

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Introducing Solode Neo — a personal AI node designed to run and host autonomous AI agents at home or in the office, always on, and entirely under your control. Your AI runs while you sleep. Wake up to compiled research. Automated emails. Organized files. All from a simple message on Telegram or your preferred messaging app. Just plug it in, connect to Wi-Fi, and start working. No coding. No cloud. No limits. Solode Neo comes pre-configured with OpenClaw🦞 and a curated selection of LLMs. It’s built for continuous 24/7 agentic workloads, with all inference, voice processing, and data handling running locally by default. No data leaves your device unless you choose to enable it. The PC put computing on every desk. Now, Solode Neo is here to put autonomous AI in every home, office, and living space. Hardware infrastructure is just the beginning: the full stack is coming. Official pricing at US$399. Early bird pricing at US$369 for waitlist members. Be the first to bring personal AI home: #SolodeNeo #AgenticAI #DigitalInfrastructure #SOLAI $SLAI
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Introducing the context course: a free course on doing ML with agent context. You will learn how to train models, optimize inferences, and build datasets, all by defining harness context with`SKILLS.md`, Plugins, MCP, Subagents, and Hooks. The course includes: - Weekly live AMA on YouTube - Weekly practical projects for ML with context - Instructions in Pi, Codex, Claude, and Opencode - Tutorials and guides on fundamentals - Interactive Quizzes Learn to give AI agents the right knowledge, tools, and structure to actually get work done. Skills, MCP servers, plugins, multi-agent workflows, and building an agent from scratch. Join here:

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1X's launch video confirms its 'human-in-the-loop' strategy. For tasks NEO can't do autonomously, 'Expert Mode' lets a human operator 'supervise' and 'provide corrective intervention.' This is how they plan to gather training data.
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1X's launch video confirms its 'human-in-the-loop' strategy. For tasks NEO can't do autonomously, 'Expert Mode' lets a human operator 'supervise' and 'provide corrective intervention.' This is how they plan to gather training data.

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First look at saurabh vij and Neo AI, launched this morning. "First autonomous AI Engineer." Unaligned #35.
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Azov youth in Cherkasy organized a torchlight march in a fascist style, as well as knife-fighting competitions in memory of a neo-Nazi member of the Azov movement known by the nickname “Latvian.” Modern 🇺🇦youth is being raised by Azov on traditions of militarism, neo-Nazism, and a cult of death.
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Azov youth in Cherkasy organized a torchlight march in a fascist style, as well as knife-fighting competitions in memory of a neo-Nazi member of the Azov movement known by the nickname “Latvian.” Modern 🇺🇦youth is being raised by Azov on traditions of militarism, neo-Nazism, and a cult of death.

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Current AI cannot solve difficult, real-world problems. The path to AGI is a focus on improving reasoning systems, multi agent workflows, and coordination.
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