Daniel Gutierrez
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ddgutierrez.bsky.social
Daniel Gutierrez
@ddgutierrez.bsky.social
Data scientist, Principal AI Industry Analyst and Influencer - http://radicaldatascience.ai, having a blast teaching data science at UCLA #AI #DataScience #MachineLearning #Rstats
In 2026, the differentiator won’t be the LLM—it’ll be:
— who owns the context
— who integrates memory
— who designs with guardrails
Next-gen AI is less about size, more about fit.

#AI #GenAI #LLM
January 2, 2026 at 7:49 PM
2025 has been quite a year in AI! Here is a complete list of all the updates. Exciting to say the least -- radicaldatascience.wordpress.com/ai-news-brie...

#AI #GenAI #LLM
AI News Briefs
The AI News Briefs Bulletin Board channel brings you the latest industry insights and perspectives surrounding the field of AI specifically LLMs and GenAI on a monthly basis. I am working tirelessl…
radicaldatascience.wordpress.com
January 2, 2026 at 6:22 PM
What a month of December! Don't miss all the updates: AI News Briefs BULLETIN BOARD for December 2025 -- radicaldatascience.wordpress.com/2025/12/22/a...

#AI #GenAI #LLM
AI News Briefs BULLETIN BOARD for December 2025
Welcome to the AI News Briefs Bulletin Board, a timely new channel bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language mod…
radicaldatascience.wordpress.com
January 2, 2026 at 6:19 PM
2025 saw huge advances in AI. But most companies still struggle with:
— dirty data
— vague goals
— misaligned metrics
The core challenges aren’t new. They’re just louder.

#AI #GenAI #LLM
December 31, 2025 at 1:23 AM
NEW book! Regression Modeling Strategies - hbiostat.org/rmsc/

#DataScience #Statistics #MachineLearning #AI #Rstats
Regression Modeling Strategies
hbiostat.org
December 26, 2025 at 5:24 PM
While working on the 2nd edition of my book, I became even more convinced: Teaching statistics is really about teaching judgment under uncertainty. Formulas are easy. Thinking in distributions is hard.

#DataScience #MachineLearning #AI #RStats #Statistics
December 23, 2025 at 6:42 PM
AI-native startups are no longer focused on training new models. They’re focused on:
— context-aware agents
— secure memory layers
— human-in-the-loop UX
The edge isn’t in scale. It’s in orchestration.

#AI #LLM #GenAI
December 22, 2025 at 5:20 PM
BREAKING TODAY! Palo Alto Networks and Google Cloud Forge Landmark Agreement to Help Customers Securely Accelerate Cloud and AI Initiatives -- radicaldatascience.wordpress.com/2025/12/19/p...

@paloaltontwks.bsky.social #AI #cloud
Palo Alto Networks and Google Cloud Forge Landmark Agreement to Help Customers Securely Accelerate Cloud and AI Initiatives
As enterprises race to harness the transformative power of agentic AI and cloud computing, Palo Alto Networks (NASDAQ: PANW) and Google Cloud today announced a significant expansion of their strate…
radicaldatascience.wordpress.com
December 19, 2025 at 5:56 PM
BREAKING TODAY! Enlightra emerges from stealth with $15M to build the future of energy-efficient laser links for AI and data centers -- radicaldatascience.wordpress.com/2025/12/18/e...

#AI #datacenter
Enlightra emerges from stealth with $15M to build the future of energy-efficient laser links for AI and data centers
Enlightra, a Swiss-American deeptech startup building chip-scale multiwavelength lasers for next-generation data transmission, today announced it has raised a total of $15 million in funding to tac…
radicaldatascience.wordpress.com
December 18, 2025 at 7:53 PM
Students often assume that models create insight.
I remind them: models compress what you already understand. If you don’t understand the domain, the model won’t rescue you. Assumptions come first.

#AI #DataScience #MachineLearning #RStats
December 18, 2025 at 1:49 AM
What was the first dataset that changed how you saw the world? Not the cleanest. Not the biggest. The most revealing. Mine was a public health dataset—messy, human, urgent.

# DataScience #MachineLearning #RStats
December 15, 2025 at 7:41 PM
R users: revisit the power of data.table. For large data wrangling jobs, it beats dplyr on speed and syntax economy. It’s a reminder that performance doesn’t always require Python.

#DataScience #MachineLearning #AI #RStats
December 12, 2025 at 1:55 AM
The most disruptive AI systems aren’t the biggest—they’re the most grounded. LLMs are impressive. But the future is in:
— retrieval-augmented generation
— domain-specific tuning
— workflow integration

#AI #GenAI #LLM
December 11, 2025 at 12:14 AM
BREAKING TODAY! Linux Foundation Announces the Formation of the Agentic AI Foundation (AAIF), Anchored by New Project Contributions Including MCP, goose and AGENTS.md -- radicaldatascience.wordpress.com/2025/12/09/l...

#AI #AgenticAI @linuxfoundation.org
AGENTS.md
AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.
AGENTS.md
December 9, 2025 at 5:52 PM
In most real-world data projects, you don’t need 97% accuracy. You need:
— clarity of assumptions
— repeatability
— stakeholder buy-in
A flawed but explainable model often beats a perfect black box.

#DataScience #MachineLearning #AI #RStats
December 8, 2025 at 8:38 PM
BREAKING TODAY! imper.ai Launches With $28 Million in Funding to Pioneer Real-Time Defense Against AI-Driven Impersonation and Social Engineering Cyber Attacks -- radicaldatascience.wordpress.com/2025/12/04/i...

#AI #deepfake
Home - imper.ai
Impersonationstops here.Block social engineering and impersonation attacks on every communications channel
imper.ai
December 4, 2025 at 8:04 PM