Databricks Funding, OpenAI Ultrafast, and Gemini 3.7 Flash Launch

Here are today's top AI & Tech news picks, curated with professional analysis.

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Databricks wanted to raise $1B, investors wanted $15B. It settled on $5B at a $190B valuation.

Expert Analysis

Databricks initially aimed to raise $1 billion, but investor demand was so strong that they were offered up to $15 billion.

Ultimately, the company secured $5 billion in funding at a staggering $190 billion valuation. This significant capital injection underscores Databricks' robust position in the data and AI platform market and the immense investor confidence in its future growth.

👉 Read the full article on TechCrunch

  • Key Takeaway: Databricks secured a massive $5 billion funding round at a $190 billion valuation, far exceeding its initial target, highlighting strong investor confidence in its AI and data platform.
  • Author: Julie Bort

OpenAI introduces 'Ultrafast,' a new mode that makes GPT 5.6 Sol work at 14x the speed

Expert Analysis

OpenAI has unveiled a new 'Ultrafast' mode for its latest language model, GPT 5.6 Sol.

This innovative mode is designed to accelerate the processing speed of GPT 5.6 Sol by up to 14 times, promising significant performance enhancements for real-time applications and demanding computational tasks. This represents a major leap forward in improving the responsiveness and efficiency of LLMs.

👉 Read the full article on TechCrunch

  • Key Takeaway: OpenAI's new 'Ultrafast' mode boosts GPT 5.6 Sol's speed by 14x, dramatically improving performance for real-time AI applications.
  • Author: Lucas Ropek

Introducing Gemini 3.7 Flash

Expert Analysis

Google has introduced Gemini 3.7 Flash, positioned as its most intelligent workhorse model yet for coding and agents. This release follows just three weeks after Gemini 3.6 Flash, incorporating developer feedback and algorithmic innovations.

3.7 Flash delivers substantial improvements across software engineering, knowledge work, and web development workflows, outperforming 3.6 Flash in coding tasks like debugging and issue resolution. It achieves higher first-pass code accuracy, scoring 43.6% on FrontierCode 1.1 Main and 65.3% on DeepSWE v1.1.

For web development, 3.7 Flash generates more functional layouts and feature-complete applications with fewer prompts, showing high design adherence for UI generation. In knowledge-dense fields such as finance, law, and biosciences, it provides improved reasoning and accuracy, significantly outperforming 3.6 Flash on the GDP.pdf benchmark for complex document processing.

The model also offers a noticeably improved developer experience, adapting better to roadblocks, clarifying intent, and following instructions with greater fidelity. It demonstrates more diligent thinking in multi-step planning and tool calls. Furthermore, 3.7 Flash is available at an introductory price of $0.75/1M input tokens and $3.75/1M output tokens until the end of the year, which is half the original cost of 3.6 Flash.

Gemini Spark, available to Google AI Pro and Ultra subscribers, will now utilize Gemini 3.7 Flash, enhancing its efficiency for knowledge work with improved tool use for Google Workspace apps and better accuracy for complex, multi-skill workflows. Safety measures have also been updated with safeguards against misuse in CBRN and cyber offense domains.

👉 Read the full article on Google Blog

  • Key Takeaway: Google's Gemini 3.7 Flash is a significant upgrade for coding and AI agents, offering enhanced intelligence, improved developer experience, and a more competitive introductory price, while also powering Gemini Spark.
  • Author: Tulsee DoshiSenior DirectorProduct Management, on behalf of the Gemini team

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photo by:Kelly Sikkema