Maginative

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Maginative

Maginative

@Maginative

The AI literacy platform. Get high-quality, in-depth AI news and analysis, as well as tailored AI training and education for your teams.

Global Entrou em Mart 2014
3 Seguindo589 Seguidores
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Maginative@Maginative·
5 Financial modeling with spreadsheets
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4 Interactive Artemis II mission trajectory. The rendered trajectory uses NASA/JPL Horizons vector data for Orion, the Moon, and the Sun, with display scaling applied for readability.
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Maginative@Maginative·
GPT 5.5 is here. Out of the box, it is one of the most capable models for knowledge work. Here are 5 impressive demos showcasing its capabilities: 1. Testing a customer onboarding workflow with browser use
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Maginative@Maginative·
OpenAI's new Privacy Filter is a bidirectional token-classification model for personally identifiable information (PII) detection and masking in text. huggingface.co/openai/privacy…
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Maginative@Maginative·
"I don't think I've typed like a line of code probably since December." - @karpathy
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Maginative@Maginative·
NVIDIA’s new Nemotron 3 Super is a really strong open weights model - 120B parameters, 1M token context, and up to 5× higher throughput for agentic workloads. Jensen Huang has been saying the future of AI will be multi-model, multi-agent, and hybrid cloud. This release slots neatly into that vision. Agent systems generate far more tokens than chat and require reasoning at every step. Running frontier models for every task simply doesn’t scale economically. Models like Nemotron are designed to handle the subtasks inside agent systems more efficiently. blogs.nvidia.com/blog/nemotron-…
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Maginative@Maginative·
Interactive Learning for Math & Science now in ChatGPT. "Starting with more than 70 core math and science concepts, ChatGPT will guide learners by showing how formulas, variables, and relationships behave in real time. These experiences will be available globally across all plans starting today." openai.com/index/new-ways…
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Maginative@Maginative·
Big Gemini updates to @GoogleWorkspace today. Docs: AI drafts (based on your data), copy format from another doc Sheets: Create entire spreadsheets, use Gemini to easily fill in data Slides: Create on-brand slides Drive: AI search overviews
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Maginative@Maginative·
🎥 Compressed edit of @sama's interview with Anant Goenka from Express Adda. In 36 minutes, the @OpenAI CEO discusses: - Why AGI is "pretty close" and ASI is "a few years away" - The real vs imagined fears of Chinese AI dominance • Why democracy MUST lead with AI (and what happens if it doesn't) - How AI went from high school math to solving research-level problems in ONE YEAR - The truth about data center water usage (spoiler: it's fake news) - Why one-person startups will have "enormous success" in the AI era - What he'd NEVER ask ChatGPT Plus: His take on @elonmusk, @Google's comeback, the Pentagon using AI for war, and why your kids aren't getting dumber from AI (probably)
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Maginative@Maginative·
Awkward moment on stage at the India AI Impact Summit as @sama and @DarioAmodei opt not to hold hands.
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Maginative@Maginative·
At Davos, I sat down with Christian Kleinerman,  @Snowflake's EVP of Product, for a candid conversation about what enterprise AI actually requires — and where most organizations are getting it wrong. We dig into why you can't skip the data foundation step (no matter what vendors tell you), how Snowflake is using AI across every function internally, and their approach to solving the hallucination and trust problem that's stalling enterprise adoption. Timestamps: 0:00 — Introduction from Davos 0:50 — How Snowflake pivoted to AI and why data gravity matters 2:45 — "There is no AI strategy without a data strategy" 4:15 — Interoperability: Open formats, Apache Iceberg & meeting orgs where they are 6:10 — How Snowflake uses AI internally across sales, engineering & product 8:45 — Solving the trust problem: Hallucinations & verified answers 11:00 — Balancing AI literacy, maturity & innovation as a company 12:45 — What's next for Snowflake
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