LLMs & Texto

How Businesses Are Building Specialized AI They Can Trust

Companies are asking how to build specialized AI that fits with the way their workflows actually run. The first wave of enterprise AI was about access. Companies experimented with new frontier and open models, ran pilots and explored how AI can help. Now, specialized agents — systems of models that can reason, use tools and […]

Fika Jobs raises $4M to build a video-first hiring platform where AI agents interview candidates

Stockholm-based startup Fika Jobs is building a video-first hiring platform that combines AI interview agents with short-form video profiles, creating something that feels like a cross between LinkedIn and TikTok.

Build real agentic apps using CUGA: two dozen working examples on a lightweight harness

Cursor announces its own AI model, a new Git platform, and a mobile app

Cursor has revealed new details about its first AI model trained entirely in-house and announced two new products. The article Cursor announces its own AI model, a new Git platform, and a mobile app appeared first on The Decoder .

DeepSeek-V4-Pro: 1,6 trilhão de parâmetros que cabem na conta

O novo modelo aberto da DeepSeek empilha um milhão de tokens de contexto e ativa só 49 bilhões de parâmetros por vez — e gasta uma fração do que gastava a geração anterior para fazê-lo.

OpenAI says new GPT-5.5-Cyber outperforms Anthropic's Mythos on cybersecurity benchmark

OpenAI is expanding its Daybreak cybersecurity initiative with an updated Codex Security plugin, the full GPT-5.5-Cyber model, and a partner network with more than 25 security firms and several governments. The focus shifts from finding vulnerabilities to patching them automatically. The article OpenAI says new GPT-5.5-Cyber outperforms Anthropic's Mythos on cybersecurity benchmark appeared first on The Decoder .

NVIDIA Powers Over 400 of the World’s 500 Fastest Supercomputers

News Highlights: NVIDIA technology runs 81% of the TOP500 and 90% of the systems new to the list. 26 systems on the TOP500 adopted the NVIDIA Grace CPU, up eight from the previous list. The top eight systems on the Green500 run on NVIDIA GPUs and nine of the top 10 use NVIDIA technologies. No. […]

HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced

Modelo de visão e linguagem em alta no Hugging Face — 2.1 mil downloads e 45 curtidas da comunidade.

The $400 million machine powering the future of chipmaking

Jos Benschop is climbing a ladder to get to the top of his newest machine. It’s a bit of a schlep. The contraption is the size of a double-decker bus—more than 150 tons of gleaming precision-milled aluminum covered in thousands of snaking tubes, colored cables, and pressurized tanks. From the ground, it looks like a…

Top spy agencies say AI cyber threats will impact you within months. Here’s why

The global surge in AI cyber threats is no longer a distant problem for corporate data centres, according to an urgent public warning from the world’s most powerful intelligence alliance. On June 22, 2026, the cybersecurity chiefs of the Five Eyes nations—comprising the US, UK, Canada, Australia, and New Zealand—issued a rare joint intelligence briefing stating that upcoming artificial […] The post Top spy agencies say AI cyber threats will impact you within months. Here’s why appeared...

Prime Intellect Releases prime-rl 0.6.0 to Train Trillion-Parameter MoE Models on Agentic RL Workloads

Prime Intellect has released prime-rl 0.6.0, an open framework for asynchronous reinforcement learning on trillion-parameter Mixture-of-Experts models. It trained GLM-5 on SWE tasks at up to 131k sequence length, with sub-5-minute step times and 256 rollouts, on 28 H200 nodes. This breakdown covers the inference and training optimizations behind those numbers — FP8 inference, Wide Expert Parallelism, prefill/decode disaggregation, router replay, and 3-D parallelism (FSDP, EP, CP). The post Pri...

GLM-5.2 OpenAI-Compatible API: A Hands-On Guide to Reasoning Effort, Function Calling, and Long-Context Retrieval

We build a practical GLM-5.2 workflow using its hosted, OpenAI-compatible API instead of running the model locally. We set up multiple providers, load the API key securely, and create a reusable chat wrapper. We then test thinking-effort control, streamed reasoning, function calling, a tool-using agent, structured JSON output, and long-context retrieval. We close with token and cost accounting so every demo stays measurable. The post GLM-5.2 OpenAI-Compatible API: A Hands-On Guide to Reasoning E...