Elon Musk says SpaceX is putting top Starship and Starlink engineers to work on Grok
Elon Musk said that SpaceX had deployed "a few dozen" top Starlink and Starship engineers and Cursor staff to work on the AI model.
xAI / Grok
8 articles tagged with this keyword, sorted by most recent first.
Which models to train for messy text NER? (zero-shot GLiNTER2 and GPT not good enough)
I'm cleaning commercial product data, and even tho I got high accuracy for SKUs, I've reached the limit of regex madness. Data string can contain one or multiple products —with arbitrary separator, which can also occur in normal text—, sometimes their description, model, dimentions, SKU and other info to be ignored. I decided to keep regexes for the easy matches, and give AI a shot for the complex ones, starting with " fastino/gliner2-multi-v1 ", a zero-shot NER (also classification, structured and relation extraction). The multi variant groks Portuguese too, which is nice (data is from Brasil). Promising, but produces too much fluff. I tried GPT, which was the opposite: good precision, but low recall. Simplifying I tried to split multi-product strings first. GLiNER2 was not useful, GPT pretty good with commas, which is most of the cases, but seems overkill for such a simple task; I would like to run it locally, or even on a VPS, so I probably should train a model, but the many options are overwhelming, so it's high time I ask for advice: 1. Which models are recommended to train locally (6G VRAM) or with an accesible price that would extract product name, model, description/dimentions and SKU with good accuracy from a mess like this? I'm still leaning towards GLiNER2 over the xBERTs, nevermind spaCy (I've got a bunch of regexes already, but data is too messy for it?), but I'm going blind. 2. In a single pass, or should I split multiple products first? With a different model?…
Microsoft, Google and xAI will let the government test their AI models before launch
CSET’s Jessica Ji shared her expert perspective in an article published by CNN. The article examines new agreements between Microsoft, Google, and xAI to allow the U.S. government to evaluate unreleased AI models for cybersecurity and national security risks before launch. The post Microsoft, Google and xAI will let the government test their AI models before launch appeared first on Center for Security and Emerging Technology .
Elon Musk’s Grok appears to bypass Brazilian news paywalls, newspapers say
"In apparent violation of Brazilian law prohibiting the indiscriminate use and distribution of copyrighted journalistic content, Grok —the artificial intelligence (AI) chatbot developed by Elon Musk— has been ‘tearing down’ news outlets’ paywalls by delivering full newspaper articles that normally require a subscription to access. To test how this works in practice, O Globo newspaper […] The post Elon Musk’s Grok appears to bypass Brazilian news paywalls, newspapers say appeared first on LatAm Journalism Review by the Knight Center .
LWiAI Podcast #237 - Nemotron 3 Super, xAI reborn, Anthropic Lawsuit, Research!
Nemotron 3 Super: An Open Hybrid Mamba-Transformer MoE for Agentic Reasoning, Another XAI Cofounder Has Left, Anthropic Sues Department of Defense
Last Week in AI #338 - Anthropic sues Trump, xAI starting over, Iran AI Fakes
Anthropic sues Trump administration in AI dispute with Pentagon, ‘Not built right the first time’ — Musk’s xAI is starting over again, again, Cascade of A.I. Fakes About War With Iran Causes Chaos Onl