Author: Ricardo

Agentic AI AI Shorts

Prime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations
ByRicardo July 13, 2026

Prime Intellect launched verifiers 0.2.0. It previews a rewritten core, shipped beneath the brand new verifiers.v1 namespace. Modern evaluations now run coding brokers with instruments, compaction, and subagents. Accordingly, v1 rebuilds environments to run these agentic workloads at scale. What is verifiers v1? First, contemplate what verifiers is: Prime Intellect’s setting stack for agentic reinforcement…

Read More Prime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations
AI Paper Summary AI Shorts

Meet NeuroVFM: A New Neuroimaging Foundation Model Trained With Vol-JEPA on Uncurated Clinical MRI and CT Volumes
ByRicardo July 13, 2026

Frontier fashions be taught principally from public web information. However, scientific neuroimaging not often seems there, as a result of MRI and CT scans comprise identifiable facial options. Consequently, normal fashions underperform on brain-imaging duties. A University of Michigan analysis workforce addresses this hole with NeuroVFM, published in Nature Medicine. What is NeuroVFM? At its…

Read More Meet NeuroVFM: A New Neuroimaging Foundation Model Trained With Vol-JEPA on Uncurated Clinical MRI and CT Volumes
Agentic AI AI Infrastructure

Guide to Loop Engineering: How ‘autoresearch’ and ‘Bilevel Autoresearch’ Turn AI Agents Into Autonomous Machine Learning ML Research Loops
ByRicardo July 12, 2026July 12, 2026

Most folks nonetheless use AI like a 2015 search field. You kind, you learn, you kind once more. A more moderen sample replaces that handbook back-and-forth with a loop. This information explains loop engineering utilizing two verified artifacts. The sources are Andrej Karpathy’s autoresearch repository and the Bilevel Autoresearch paper. The framing follows a write-up…

Read More Guide to Loop Engineering: How ‘autoresearch’ and ‘Bilevel Autoresearch’ Turn AI Agents Into Autonomous Machine Learning ML Research Loops
AI Shorts Editors Pick

Mira Murati’s Thinking Machines Lab Makes The Technical Case For Human-Centered AI Built On Customizable Model Weights
ByRicardo July 12, 2026July 12, 2026

Thinking Machines Lab printed a report back to construct AI that extends human will and judgment. Most AI in use at present is skilled in a handful of locations, then frozen. The report argues that this design excludes the individuals a mannequin serves. Instead, the Thinking Machines lab researchers need AI that’s distributed, customizable, and…

Read More Mira Murati’s Thinking Machines Lab Makes The Technical Case For Human-Centered AI Built On Customizable Model Weights
Agentic AI AI Infrastructure

A Coding Guide to NVIDIA’s Tile-Based GPU Programming: From cuTile and Triton Kernels to Flash Attention
ByRicardo July 12, 2026July 12, 2026

In this tutorial, we discover TileGym GPU programming by constructing a sensible Colab workflow that runs throughout completely different {hardware} situations. We start by probing the out there CUDA surroundings, checking whether or not NVIDIA cuTile runs instantly, and falling again to Triton when customary Colab GPUs lack the required cuTile stack. Through this setup,…

Read More A Coding Guide to NVIDIA’s Tile-Based GPU Programming: From cuTile and Triton Kernels to Flash Attention
AI Infrastructure AI Paper Summary

Ant Group’s Robbyant Unveils LingBot-VA 2.0: A Causal Video-Action Model Built Natively for Physical AI
ByRicardo July 11, 2026July 11, 2026

Robbyant, the embodied AI unit inside Ant Group, has launched the LingBot-VA 2.0.The first embodied-native basis mannequin. It describes a video-action basis mannequin for generalist robotic manipulation. The analysis group pretrains the entire stack for embodiment as a substitute of fine-tuning a video generator. What is LingBot-VA 2.0? Most video-action fashions reuse two elements constructed…

Read More Ant Group’s Robbyant Unveils LingBot-VA 2.0: A Causal Video-Action Model Built Natively for Physical AI
AI Paper Summary AI Shorts

Kyutai Releases MuScriptor: An Open-Weight Decoder-Only Transformer for Multi-Instrument Music Transcription to MIDI
ByRicardo July 10, 2026

Automatic Music Transcription (AMT) converts an audio recording into symbolic notes, often MIDI. Single-instrument transcription already works fairly effectively. However, transcribing a full multi-instrument combine stays tough. Kyutai and Mirelo crew now launch MuScriptor to shut that hole. It is an open-weight mannequin educated on actual, multi-instrument recordings throughout many genres. This article explains how…

Read More Kyutai Releases MuScriptor: An Open-Weight Decoder-Only Transformer for Multi-Instrument Music Transcription to MIDI
Agentic AI Applications

How to Build a T4-Friendly Autonomous Data Science Agent with DeepAnalyze-8B, Sandboxed Code Execution, and Iterative Analysis
ByRicardo July 10, 2026

In this tutorial, we construct an autonomous information science agent round DeepAnalyze-8B and run it. We start by getting ready a steady runtime, putting in the required machine-learning dependencies, and loading the DeepAnalyze tokenizer and mannequin in 4-bit mode to preserve the workflow sensible on restricted GPU reminiscence. We then create a sandboxed execution setting…

Read More How to Build a T4-Friendly Autonomous Data Science Agent with DeepAnalyze-8B, Sandboxed Code Execution, and Iterative Analysis
AI and Us Artificial Intelligence

How to shrink the token budget without shrinking the team
ByRicardo July 10, 2026

Jensen Huang has a take a look at for whether or not an engineer is price retaining, and it comes with a token budget hooked up. Speaking on the All-In Podcast at the shut of GTC 2026, the Nvidia chief government stated that if a $500,000 engineer’s annual AI token consumption got here in below…

Read More How to shrink the token budget without shrinking the team
Infrastructure

From Connected Agents to Collective Intelligence
ByRicardo July 10, 2026

This interview evaluation is sponsored by Outshift by Cisco and was written, edited, and revealed in alignment with our Emerj sponsored content guidelines. Learn extra about our thought management and content material creation companies on our Emerj Media Services page. Agentic AI is operating into the identical wall throughout enterprises: brokers drift, impasse, and…

Read More From Connected Agents to Collective Intelligence

Author: Ricardo

Prime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations

Meet NeuroVFM: A New Neuroimaging Foundation Model Trained With Vol-JEPA on Uncurated Clinical MRI and CT Volumes

Guide to Loop Engineering: How ‘autoresearch’ and ‘Bilevel Autoresearch’ Turn AI Agents Into Autonomous Machine Learning ML Research Loops

Mira Murati’s Thinking Machines Lab Makes The Technical Case For Human-Centered AI Built On Customizable Model Weights

A Coding Guide to NVIDIA’s Tile-Based GPU Programming: From cuTile and Triton Kernels to Flash Attention

Ant Group’s Robbyant Unveils LingBot-VA 2.0: A Causal Video-Action Model Built Natively for Physical AI

Kyutai Releases MuScriptor: An Open-Weight Decoder-Only Transformer for Multi-Instrument Music Transcription to MIDI

How to Build a T4-Friendly Autonomous Data Science Agent with DeepAnalyze-8B, Sandboxed Code Execution, and Iterative Analysis

How to shrink the token budget without shrinking the team

From Connected Agents to Collective Intelligence

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