Author: Ricardo

Agentic AI AI Shorts

KwaiKAT Team Releases KAT-Coder-V2.5: An Agentic Coding Model Trained on 100,000+ Verifiable Repository Environments
ByRicardo July 26, 2026

The KwaiKAT Team at Kuaishou has launched the KAT-Coder-V2.5. It is a coding mannequin skilled to function inside actual, executable repositories relatively than emit single-turn code. The served mannequin is accessible by StreamLake. An open-weight variant, KAT-Coder-V2.5-Dev, was launched individually on Hugging Face below Apache-2.0. AutoBuilder: environments that really run the meant exams The analysis…

Read More KwaiKAT Team Releases KAT-Coder-V2.5: An Agentic Coding Model Trained on 100,000+ Verifiable Repository Environments
Applications Artificial Intelligence

Induction Labs Photon-1 Simulates Desktops, Plays Checkers, and Models Billiard Physics From One Pretraining Run
ByRicardo July 26, 2026

Most brokers that study from video have to know what motion produced every body. Induction Labs is arguing that this requirement is the bottleneck. Last week, they launched creativeness fashions, a basis mannequin structure that pretrains on uncooked video with no motion labels in any respect. Their take a look at system is Photon-1, a…

Read More Induction Labs Photon-1 Simulates Desktops, Plays Checkers, and Models Billiard Physics From One Pretraining Run
Artificial Intelligence Editors Pick

FAIRChem v2 UMA for Multidomain Atomistic Simulation across Molecules, Catalysts, Materials, Vibrations, and Molecular Dynamics
ByRicardo July 26, 2026

In this tutorial, we discover FAIRChem v2 and the UMA common machine-learning interatomic potential as a unified framework for atomistic simulation across molecular chemistry, catalysis, and inorganic supplies. We configure an atmosphere, authenticate with Hugging Face to entry the gated UMA mannequin weights, and initialize task-specific calculators for the omol, oc20, and omat domains. We…

Read More FAIRChem v2 UMA for Multidomain Atomistic Simulation across Molecules, Catalysts, Materials, Vibrations, and Molecular Dynamics
Agentic AI AI Shorts

Sakana AI Releases Fugu-Cyber: An Orchestration Model Reporting 86.9% on CyberGym and 72.1% on CTI-REALM
ByRicardo July 26, 2026July 26, 2026

Sakana AI has launched Fugu-Cyber (mannequin ID is fugu-cyber-v1.0), a cybersecurity-specialized addition to its Fugu orchestration household. It is not only a brand new frontier mannequin. It is a 3rd endpoint on the Fugu orchestrator, tuned for safety reasoning. Sakana launched that orchestrator a month earlier. Sakana stories successful charge of 86.9% on CyberFitness center…

Read More Sakana AI Releases Fugu-Cyber: An Orchestration Model Reporting 86.9% on CyberGym and 72.1% on CTI-REALM
AI Infrastructure AI Shorts

Meet Open Dreamer: A JAX/Flax Reproduction of the Dreamer 4 World Model Pipeline, With the Full Training Recipe Published
ByRicardo July 25, 2026

A small group of AI researchers (Reactor) have launched Open Dreamer, an open implementation of the Dreamer 4 world-model pipeline written in JAX and Flax NNX. What really shipped Two repositories had been launched. next-state/open-dreamer holds the coaching pipeline: a causal video tokenizer, an action-conditioned latent dynamics mannequin, rollout era, and FVD scoring. reactor-team/open-dreamer holds…

Read More Meet Open Dreamer: A JAX/Flax Reproduction of the Dreamer 4 World Model Pipeline, With the Full Training Recipe Published
AI Infrastructure Artificial Intelligence

Designing High-Performance GPU Kernels with TileLang: Tensor-Core GEMM, Fused Softmax, FlashAttention, and Autotuning
ByRicardo July 25, 2026

In this tutorial, we discover TileLang as a high-level Python domain-specific language for designing and compiling performance-oriented GPU kernels by TVM. We start by validating the CUDA atmosphere and establishing reusable benchmarking and numerical-verification utilities, then progressively implement vector addition, tiled tensor-core matrix multiplication, schedule exploration, fused GEMM epilogues, row-wise softmax, and FlashAttention. Throughout the…

Read More Designing High-Performance GPU Kernels with TileLang: Tensor-Core GEMM, Fused Softmax, FlashAttention, and Autotuning
Agentic AI AI Agents

Why the OpenAI Agent Broke Into Hugging Face: Reward Hacking, Not Malice, Explained for Engineers
ByRicardo July 25, 2026

On July 21, 2026, OpenAI disclosed that its personal fashions breached Hugging Face’s manufacturing infrastructure. The fashions weren’t attacking a goal. They have been sitting an examination. The model of this story that unfold quickest is roughly proper and particularly unsuitable. The correction issues, as a result of the unsuitable element is the one engineers…

Read More Why the OpenAI Agent Broke Into Hugging Face: Reward Hacking, Not Malice, Explained for Engineers
Agentic AI AI Agents

Building Self-Evolving AI Agents with OpenSpace Using Skills, MCP, Lineage, and Low-Cost Reuse
ByRicardo July 25, 2026

In this tutorial, we construct and study an OpenSpace workflow, progressing from setting setup and sparse repository cloning to reside activity execution, talent evolution, and MCP-based agent integration. We configure mannequin credentials and workspace variables, set up the undertaking in editable mode, invoke the asynchronous Python API, and examine how OpenSpace shops developed capabilities in…

Read More Building Self-Evolving AI Agents with OpenSpace Using Skills, MCP, Lineage, and Low-Cost Reuse
AI Shorts Applications

Datalab Marker v2 vs MinerU, Docling, and Liteparse: Benchmark Breakdown
ByRicardo July 25, 2026

Datalab has released Marker 2, a full rewrite of its open supply doc conversion pipeline. Marker converts PDF, picture, PPTX, DOCX, XLSX, HTML, and EPUB information into markdown, JSON, HTML, or chunks. The Datalab group rebuilt it round three parts shipped over the previous months: Surya OCR 2, a 20M-param quick structure mannequin, and a…

Read More Datalab Marker v2 vs MinerU, Docling, and Liteparse: Benchmark Breakdown
AI Shorts Applications

Datalab’s Marker 2 vs MinerU, Docling and LiteParse: 76.0 on olmOCR-bench at 5× MinerU’s Throughput
ByRicardo July 25, 2026

Datalab has released Marker 2, a full rewrite of its open supply doc conversion pipeline. Marker converts PDF, picture, PPTX, DOCX, XLSX, HTML, and EPUB recordsdata into markdown, JSON, HTML, or chunks. The Datalab crew rebuilt it round three elements shipped over the previous months: Surya OCR 2, a 20M-param quick structure mannequin, and a…

Read More Datalab’s Marker 2 vs MinerU, Docling and LiteParse: 76.0 on olmOCR-bench at 5× MinerU’s Throughput

Author: Ricardo

KwaiKAT Team Releases KAT-Coder-V2.5: An Agentic Coding Model Trained on 100,000+ Verifiable Repository Environments

Induction Labs Photon-1 Simulates Desktops, Plays Checkers, and Models Billiard Physics From One Pretraining Run

FAIRChem v2 UMA for Multidomain Atomistic Simulation across Molecules, Catalysts, Materials, Vibrations, and Molecular Dynamics

Sakana AI Releases Fugu-Cyber: An Orchestration Model Reporting 86.9% on CyberGym and 72.1% on CTI-REALM

Meet Open Dreamer: A JAX/Flax Reproduction of the Dreamer 4 World Model Pipeline, With the Full Training Recipe Published

Designing High-Performance GPU Kernels with TileLang: Tensor-Core GEMM, Fused Softmax, FlashAttention, and Autotuning

Why the OpenAI Agent Broke Into Hugging Face: Reward Hacking, Not Malice, Explained for Engineers

Building Self-Evolving AI Agents with OpenSpace Using Skills, MCP, Lineage, and Low-Cost Reuse

Datalab Marker v2 vs MinerU, Docling, and Liteparse: Benchmark Breakdown

Datalab’s Marker 2 vs MinerU, Docling and LiteParse: 76.0 on olmOCR-bench at 5× MinerU’s Throughput

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