Someone generates a short AI video; it's almost right, except the jacket should be yellow instead of red. With most video generation tools, fixing that means writing a new prompt and hoping the rest of the shot survives the regeneration intact — the lighting, the framing, the way the character moved. That specific frustration, having…
Baidu has released Unlimited OCR 2, an open-source OCR model built for very long documents. The 3B model parses books, filings and reports of hundreds of pages in one request. Its core change is SR-SWA, a sparse attention scheme that keeps per-step decoding cost nearly flat. Weights ship under the MIT license, with code on…
Speeding up robotics development By bringing together advanced visual-semantic reasoning, deep physical understanding, and autonomous code generation, Argon unlocks new workflows across the robotics stack and accelerates progress toward physical AGI. This leap in capability is reflected in Argon’s performance on the Embodied Reasoning (ERQA) benchmark, which tests a model's ability to understand and solve…
JSON is one of the most common formats for storing and exchanging data in Python applications. For small files, Python's built-in json module works perfectly well:
import json
with open("data.json") as f:
data = json.load(f)
The problem starts when the file becomes large.
json.load() parses the entire JSON document and creates the corresponding Python…
In this tutorial, we implement OmniParseBench, Datalab’s open benchmark for document parsers, which grades a parser’s output with 16,288 small pass-or-fail tests across 2,937 pages, from scanned forms and handwriting to arXiv math and dense tables. Rather than trust the leaderboard, we rebuild it from the verdicts Datalab released for 27 parsers, after feeding the…
Gemini 4 Argon marks a step change in physical understanding, code generation, and visual-semantic reasoning—unlocking new workflows across the robotics stack and accelerating progress toward physical AGI. You can see this leap in capability on the Embodied Reasoning (ERQA) benchmark, which tests a model's ability to understand and solve physical, spatial problems in 3D environments.…
Large language models are remarkable text generators, but they have a well-documented weakness: they hallucinate. Without access to verified, up-to-date information, they confidently produce plausible-sounding answers that are factually wrong. Retrieval-Augmented Generation (RAG) emerged as the standard solution, grounding model outputs in external knowledge sources and dramatically reducing hallucinations across enterprise applications.
But as organizations…
Gemini 4 Argon is a step forward in what models can do — especially when it comes to deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science. Its cyberdefense capabilities are frontier-level and designed to give defenders an advantage over attackers. To maximize its potential, we first wanted cyber…
Kyutai, with Inria and École des Ponts, has released REKI, a 2.4B vision-language-action model (VLA) for robot manipulation. The REKI vision-language-action model is pretrained only on public data. It also carries a cheap memory of its recent past. On three out-of-distribution benchmarks, only models about twice its size beat it. All weights are live on…
Something crazy is happening in the AI development community, and I think we are witnessing the beginning of a major shift in the software industry.
Developers are no longer just vibe coding websites, dashboards, and simple applications. They are attempting to recreate entire commercial software suites, including Adobe Creative Cloud and Microsoft Office.
And the…