Datalab has released lift, a 9B open-weights vision model for structured extraction. You pass it a JSON schema, and it returns a JSON object that matches. The model reads PDFs and images directly, then decodes against your schema.
This is Datalab’s first model built purely for extraction. The team already ships open-source OCR tools: chandra,…
Making computer use safe in 3.5 Flash To mitigate some of the prompt injection risks for agents operating in live environments, we use targeted adversarial training for computer use in Gemini 3.5 Flash. We’re also releasing two optional enterprise safeguard systems that enable enterprises to: Require explicit user confirmation for sensitive or irreversible actions. Automatically…
Mistral AI has released Robostral Navigate, its first model built for embodied navigation. The 8B model takes RGB images and a plain-language instruction, then moves a robot. Notably, it reaches 76.6% success on R2R-CE validation unseen using only a single RGB camera.
What is Robostral Navigate?
Robostral Navigate is an 8B model for robotic navigation…
Modern progress runs on information. Every business, no matter the size or industry, depends on the constant movement of data to function, serve customers, and grow. The more digital the world becomes, the more vital it is to protect that information. Data security defines a company’s reputation, reliability, and resilience.
“ Protecting data means…
# Introduction
You have successfully set up Ollama, pulled a capable model, run a few queries in the terminal, and it worked. The responses were sharp. The latency was real. The whole thing ran on your own hardware with no API key and no cloud.
Then you closed the terminal and walked away.…
import torch.nn as nn
import torch.nn.functional as F
from dataclasses import dataclass
torch.manual_seed(0)
@dataclass
class Cfg:
d_model: int = 192
n_head: int = 6
n_layer: int = 4
ffn_mult: int = 2
n_mod: int = 3
…
Limitations: Omni offers 10-second video generations currently, with longer durations coming soon. Uploading audio references and scene extension is not yet supported in the Gemini API for this model. Video references up to 3 seconds in duration are accepted by the API schema but are not correctly processed by the model at this time. Character…
The Qwen team has released three embodied AI models, grouped as Qwen-Robot-Suite. The three are Qwen-RobotManip, Qwen-RobotWorld, and Qwen-RobotNav. Each is built on a Qwen vision-language backbone and targets a different robotics problem.
Qwen-RobotManip is a Vision-Language-Action model for manipulation, built on Qwen3.5-4B. Qwen-RobotWorld is a language-conditioned video world model with a 60-layer MMDiT and…
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