// radar de ia

Geração de Imagem

Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.

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Security vulnerability reports have exploded since AI models started hunting for bugs
Blog Geração de Imagem

Security vulnerability reports have exploded since AI models started hunting for bugs

Epoch AI reports a sharp rise in security vulnerability reports. In June 2026, 21 organizations reported about 1,500 high-severity and critical CVEs, more than 3.5 times the previous monthly record. The surge lines up with the launch of AI-powered bug-hunting programs. The article Security vulnerability reports have exploded since AI models started hunting for bugs appeared first on The Decoder .

03.07.2026
O avanço dos agentes de IA da Meta está mais lento do que Zuckerberg planejava
Blog LLMs & Texto

O avanço dos agentes de IA da Meta está mais lento do que Zuckerberg planejava

Mark Zuckerberg admitiu falhas na reestruturação da empresa durante uma reunião interna com funcionários. Os agentes de IA em torno dos quais a Meta se reorganizou estão avançando mais devagar do que o planejado, disse Zuckerberg. Seu chefe de IA, por sua vez, pintou um quadro mais otimista. O artigo O avanço dos agentes de IA da Meta está mais lento do que Zuckerberg planejava apareceu primeiro em The Decoder.

03.07.2026
Blog LLMs & Texto

COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows

arXiv:2607.01709v1 Announce Type: new Abstract: Agents are increasingly used to construct workflows and assist humans in completing recurring tasks more efficiently. As these workflows become repeated and domain-specific, agent memory and reusable skills become increasingly important: agents should be able to recall workflow patterns, execution constraints, and user preferences from previous runs. We study this problem in workflow-based image generation and introduce COMFYCLAW, an agentic skill ...

03.07.2026
Blog LLMs & Texto

Discrete Diffusion Language Models for Interactive Radiology Report Drafting

arXiv:2607.01436v1 Announce Type: new Abstract: Diffusion language models, which generate text by denoising a token canvas bidirectionally instead of emitting tokens left to right, have become competitive with autoregressive (AR) generation. Medical foundation models, however, remain almost entirely autoregressive. We adapt a mixture-of-experts diffusion language model, DiffusionGemma-26B, and benchmark it against its same-size AR sibling Gemma-4-26B under an identical LoRA recipe on medical vis...

03.07.2026
Blog Geração de Imagem

DriftScope: Measuring The Hidden Effects of Diffusion Model Adaptation

arXiv:2607.00183v1 Announce Type: new Abstract: Adapting pre-trained text-to-image diffusion models, whether to learn new visual concepts or erase unwanted ones, is routinely evaluated on its intended effects alone. We argue this framing is incomplete. Through sparse autoencoder analysis and zero-shot classification, we demonstrate that adaptation systematically damages semantically unrelated concepts in ways that aggregate metrics structurally cannot surface: when damage is severe enough for FI...

02.07.2026
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