Denis

Historian and crypto enthusiast. Self-development is my philosophy!

[Anatoli Kopadze @AnatoliKopadze]

Google Brain founder, Andrew Ng:

"100% of my tasks are done by ai agents, self-improving loops are next.

Give it 3-6 months and prompting is gone."

31 minutes of clear explanation on building self-improving agents from scratch.

Worth more than any $500 agentic course.

Watch it, then read the full guide on loops below.

[a16z @a16z]

The most interesting visual AI tools today are generating the underlying source code behind the final output.

This change is unlocking editability, iteration, and a feedback loop that pixel-native models can't match.

And the market for visual code generation is organizing around the runtime where the artifact is rendered or executed.

a16z's Yoko Li on why the next frontier of visual AI is code: https://t.co/tIA8luD4OG

[a16z @a16z]

The majority of new jobs created since 1940 didn’t even exist in 1940.

There is no fixed "lump of labor". Again and again, new technologies create new jobs.

a16z's David George dismantles the "AI job apocalypse" myth: https://t.co/0gL5mdffKD

[Google Cloud Tech @GoogleCloudTech]

Available now: Google’s official Agent Skills repository on @github!

Learn how to equip agents with additional, condensed expertise with Agent Skills—and stay tuned for additional skills in this repo in the coming weeks and months → https://t.co/K3CIaC5LTX

[DeepLearning.AI @DeepLearningAI]

We're opening the doors at AI Dev 26 today, and celebrating with a little something for everyone:

AI Prompting for Everyone, a new course taught by @AndrewYNg, is now live! 🎉

Learn how to get accurate answers, better writing, and more useful outputs from the AI tools you already use — whether you're an engineer, a marketer, a salesperson, in finance, or anything in between.

Enroll today: https://t.co/gfhK6E1Zf5

[Google Cloud Tech @GoogleCloudTech]

https://t.co/tnRykMaKhz

[Google Cloud @googlecloud]

Introducing Gemini Enterprise Agent Platform—our new platform to build, scale, govern, and optimize agents.

[Google Cloud Tech @GoogleCloudTech]

https://t.co/NQyklWClQO

[Pavel Durov @durov]

We’ve done more than all our competitors combined — yet it’s not nearly enough. We need to do 10–20× more.

[Google Cloud @googlecloud]

Reasons to ❤️ specialized agents in Gemini Enterprise:

1. Slash research time from weeks to hours
2. Turn complex spreadsheets into actionable insights
3. Generate novel ideas & rank them effectively
+ more!

Check out all our ready-to-use agents → https://t.co/U4MbFAiALn

[Google Cloud Tech @GoogleCloudTech]

Get an intro to #generativeAI in 30 minutes.

Take this Google Skills course for an overview of gen AI and to learn about the Google Tools that can help you develop your own gen AI apps → https://t.co/ACZPlTuS6O

[Google Cloud @googlecloud]

AI agents, AI assistants, or bots? Key differences: autonomy, complexity, and learning capabilities.

Use our guide to determine which software system is right for you → https://t.co/zF5mbiNJTc

[Microsoft Learn @MicrosoftLearn]

A simple way to think about AI agents:
LLM = reasoning
Tools = actions
Memory = context
Agents combine all three.

[Google Cloud @googlecloud]

5 ways AI agents can improve your business operations:

1. Effortlessly search enterprise data
2. Find a bug in code and fix it
3. Generate ideas in minutes
4. Consult an expert
5. Shorten the sales cycle
6. Personalize CX

More use cases for AI agents → https://t.co/a9oTlSeSWD

[Microsoft Learn @MicrosoftLearn]

Before you build AI agents, learn the language. Save this glossary, share it with a friend, or drop it in the group chat.

[LandingAI @LandingAI]

The one thing GPT-5.4, Gemini, Opus and frontier models actually suck at: visual grounding in documents.

Ask them to show you exactly where they found a value on the page, and they fall apart.

Visual grounding means pointing to the exact location in the source document where data was extracted. Bounding boxes. Page numbers. Coordinates. The proof that the extracted value came from a specific place.

Why this matters: compliance teams need to verify extraction. Finance teams need to audit where numbers came from. Anyone building document workflows in regulated industries needs traceability.

Frontier LLMs can't deliver this. They process documents as tokens, not as spatial systems. They see text, not layout. They extract values but can't ground them to locations.

Agentic Document Extraction (ADE) solves this. Every extracted value includes its exact location on the page. Tables, text blocks, form fields - all visually grounded. You can trace every piece of data back to where it came from in the source.

Visual grounding turns extraction into something auditable.

Try ADE on your own documents and see visual grounding in action → https://t.co/CGF3qQbFVu

[DeepLearning.AI @DeepLearningAI]

A lot of AI conversations focus on chatbots and demos.

But some of the most valuable AI systems solve much less glamorous problems.

Processing invoices.
Extracting information from documents.
Connecting data across tools.
Making systems reliable enough to use every day.

These kinds of operational workflows are where many companies actually see the biggest impact from AI.

Here’s a simple path to start learning how these systems are built.

Document AI: From OCR to Agentic Doc Extraction
https://t.co/wpGrANdi1a

Preprocessing Unstructured Data for LLM Applications
https://t.co/WsSsrNYSbn

Functions, Tools and Agents with LangChain
https://t.co/Ap3pYv4Jp1

Improving Accuracy of LLM Applications
https://t.co/XZKH6yiI3b

Know someone exploring how to apply AI in real business workflows?
Share this with them.

[Google AI Studio @GoogleAIStudio]

https://t.co/PfLrKDTmww

[Google Workspace @GoogleWorkspace]

Organizations that adopt AI see 2× boost in creativity and focus. Our new guide, Introduction to Gemini at Work, shares practical tips to help teams start using Gemini in daily work. Get started now → https://t.co/iE7qQcAlxA

[Denis @jgoltds]

How I Used AI to Automate Logistics Document AI killed 10-min PDF torture in logistics
10 min + errors → 10 sec + zero errors
LandingAI → Google Sheets
×30–50 faster. Scales effortlessly.
Gemini helped me build it 😏
Need this? DM me ✉️⚡
#AI #Automation #Gemini #LandingAI