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From xAI’s high-stakes model relaunch to Perplexity’s AI-native browser and LGND’s plan to turn satellite imagery into searchable insights, today’s updates all point to one thing: AI is starting to think more like us, and reshape how we search, see, and act.
📌 In today’s Generative AI Newsletter:
xAI debuts Grok 4 and Grok 4 Heavy with a multi-agent twist
Perplexity launches Comet, a browser that thinks like a co-pilot
LGND raises $9M to turn satellite data into natural language queries
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🤖 xAI Releases Grok 4 After Grok 3’s Meltdown

Image Credit: xAI
Elon Musk’s xAI just unveiled Grok 4 and Grok 4 Heavy, two high-performance models that now claim state-of-the-art scores across major AI benchmarks. Built for reasoning, not fluff, these models top Humanity’s Last Exam, Arc-AGI-2, and AIME, outperforming Gemini 2.5 Pro and OpenAI’s o3.
What does Grok 4 bring to the table:
Grok 4 is a single-agent model with voice, vision, and a 128K context window
Grok 4 Heavy uses a multi-agent system that compares answers like a “study group”
Available via SuperGrok ($30/month) and SuperGrok Heavy ($300/month)
API access includes a 256K token window with built-in search
But the launch follows Grok 3’s spectacular collapse, after the model responded to users with antisemitic content on X. xAI has since walked back controversial instructions in its system prompt and is now under heavier scrutiny. Trust may be harder to scale than tokens.
☄️Perplexity Launches Comet, a Browser That Thinks With You

Image Source: Perplexity
Perplexity just dropped Comet, an AI-first browser designed to turn the web into a thinking partner. Instead of static tabs and bookmarks, Comet embeds a live assistant that reads pages with you, answers in real time, and carries out tasks like booking meetings or managing your calendar.
What makes Comet different:
Embedded agent, not just a search bar: The Comet Assistant lives in the sidebar, follows your clicks, and can answer or act on anything you’re viewing.
Tasks, not tabs: From booking meetings to summarizing pages, the assistant handles workflows directly in-browser
Seamless cognition: Voice input and natural language queries drive entire sessions, collapsing research and execution into one loop.
Context persistence: Comet remembers what you’ve read, letting you reference earlier sources, compare ideas, or backtrack through thought trails.
Unlike hallucination-prone chatbots, Comet is grounded in search citations and real-time web data. You don’t just browse anymore, you think out loud, and Comet handles the rest. Ask it to compare reviews, book travel, summarize threads, or find alternatives in the background while you stay focused.
🧭 LGND Is Building Geospatial Intelligence That Thinks Like ChatGPT

Image Credit: NASA
LGND just raised a $9M seed round to build a natural-language AI for Earth data. Instead of training expensive models for every geospatial task, LGND uses vector embeddings to represent satellite imagery and making spatial questions as searchable and flexible as text queries.
How it works:
Embeddings, not just pixels: LGND compresses complex Earth imagery into vector formats that capture spatial relationships without needing deep technical expertise.
General-purpose spatial AI: Traditional models are trained for one task. LGND’s system can handle flexible prompts like “Show me dry riverbeds near power plants” or “Where are wildfire breaks widening?”
API and enterprise-ready tools: Users can either plug into LGND via API or use its built-in app for querying, annotating, and acting on spatial data in real time.
Natural queries, spatial answers: LGND understands plain English questions and returns insights directly from imagery, no GIS degree required.
Unlike brittle, one-off geospatial models, LGND aims to make Earth data conversational. You don’t need to process satellite images anymore—you ask questions, and LGND finds patterns, flags risks, or locates opportunities while you focus on decision-making.

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