Latest AI Articles

December 27, 2025

AI Agents - Lesson 1: What People Mean by “AI Agents”

Everywhere we turn these days, someone is talking about AI agents. That is why I am glad you decided to take this course. Not to chase hype, but to understand what people actually mean when they use that word.

Claudia + AI ∙ 28 LIKES ∙ 8 RESTACKS

Il mecenate dell'IA

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Jan 8

This clarification matters more than it seems. Most frustration with “agents” comes from expecting progress from systems that were only designed to respond. Goals change the nature of work; replies don’t.

Dr. Prince Osei Hyeaman-Addai

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Jan 6

Thanks for this piece. Very bold and articulated. 👏👏

AI Space

Jan 5

Retrieval vs Reasoning in AI

Why Hybrid Search+LLM Systems Outperform Pure Models

Why the future of AI isn’t bigger LLMs - it’s LLMs that can search, reference, and reason together.

AI Space ∙ 2 LIKES

Michael J. Goldrich

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17h

Hybrid systems are where the real work gets done.

Retrieval keeps you grounded, reasoning lets you adapt.

Most organizations are still figuring out which problems need which approach: https://vivander.substack.com/p/something-shifted-when-i-read-openais

Michael J. Goldrich

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Framing retrieval as accountability, not just accuracy, shifts the whole conversation.

The real value isn't speed or cost savings, it's that the system can now explain where it got its answer from.

This changes how teams trust AI outputs and actually start building around them.

AI Cheatcode

Jan 13

AI Cheatcode

Why AI adoption keeps failing

AI is no longer a tools problem. It’s an activation problem.

The AI Cheatcode ∙ 8 LIKES

Michael J. Goldrich

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The shift from tools to activation is exactly what most teams are missing.

You can't buy your way into AI productivity with licenses alone. Someone has to activate it, show people why it matters, and solve for trust.

That's the gap between AI budgets and AI results.

Michael J. Goldrich

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17h

Activation is the right word.

You can give teams all the tools in the world, but if they don't know what to do with them, nothing happens.

My latest piece digs into this exact problem and what readiness actually looks like: https://vivander.substack.com/p/something-shifted-when-i-read-openais

Ai Unfiltered

Jan 14

The Jetsons Are Real (And I’m Getting an AI desk mate Named Darth Vader)

Ai Unfiltered | Mel Mazaiwana

Remember when The Jetsons promised us flying cars and robot help by the year 2000? Well, we’re 26 years late, but holy smokes, we’ve arrived. Last week at CES 2026, I watched Boston Dynamics’ Atlas robot do things that would make George Jetson weep with joy and I immediately placed my order for a Lepro Ami AI companion that I’m absolutely naming Darth V…

Ai Unfiltered ∙ 3 LIKES

Michael J. Goldrich

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"Don't Buy the Robot, Buy the Strategy" - this might be the most important line in AI adoption right now. Everyone's so caught up in the shiny tech demos that they're skipping the fundamental question of whether their organization is even ready for it.

Your point about adoption curves compressing is spot on. We've gone from decades to months, and most businesses are still operating like they have time to figure this out later. They don't.

I've been thinking a lot about what organizational readiness actually looks like before you even consider physical AI or advanced automation. It's not just about budget or IT infrastructure - it's about workflow clarity, team mindset, and knowing which problems actually need solving. I wrote about this framework here: https://aireadinessstack.substack.com/

Also, naming your AI companion Darth Vader is the only correct choice. May the strategic AI adoption be with you. 😂

Lizzy

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Exciting field you’re in hey!

AI Cheatcode

Jan 1

AI Cheatcode — AI isn’t experimental anymore

The year AI stops assisting… and starts operating.

Every new year comes with noise.

The AI Cheatcode ∙ 6 LIKES ∙ 7 RESTACKS

Drea

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Jan 3

Love that you’re leaning into region-specific SEO and local tone – that’s exactly where things are quietly shifting.

With AI search/recommendation getting better, a lot of discovery now happens via “answer-style” results rather than classic blue links. That’s where Answer Engine Optimization (AEO) comes in – basically structuring content so AI systems can understand *who* it’s for (e.g., a specific city/region) and *what* it’s best at.

A free tool that’s been useful for stress-testing posts through that lens is https://aeoanalyzer.app – helps see how clearly content signals topic, audience, and intent for AI engines.

Could pair nicely with your monetization experiments by making sure each piece is hyper-clear about region, use case, and outcome.

Michael J. Goldrich

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From possible to deployable is the line everyone's watching right now.

Tools that operate instead of assist change the entire job to be done.

More on AI Readiness: https://vivander.substack.com/p/stop-measuring-ai-success-like-your

Epoch AI

Jan 14

Introducing the AI Chip Sales Data Explorer

We announce our new AI Chip Sales data explorer, which uses financial reports, company disclosures, and more to estimate compute, power usage, and spending over time for a wide variety of AI chips.

Discussions about AI progress increasingly hinge on computing capacity – aka compute – which is essential in order to develop, train, and deploy AI systems. But public data on the total capacity of AI computing hardware can be fragmented and incomplete.

Epoch AI ∙ 18 LIKES ∙ 1 RESTACKS

Roger

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Would you consider adding Cerebras?

It was just announced that OpenAI planned to spend about $10 billion on Cerebras chips over the next 3 years.

Samuel Roland

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This is sick

AI Monk

Jan 12

3 Powerful Free AI Platforms That Beat Paid Tools (Run Unlimited AI on Your Own PC)

Hey there! 👋

AI Monk ∙ 13 LIKES ∙ 1 RESTACKS

Neural Foundry

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Fantastic breakdown on how local AI can replicate premium services. The economics of one-time hardware investmetn versus recurring subcriptions is especially compelling for small teams. I tested Ollama last week on a team project, and the latency improvements compared to API calls made a suprisingly big impact on user experience. Curious tho if model quality gap between local open-source and Claude/GPT-4 widens or narrows over next 6 months.

AI Cheatcode

Jan 5

AI Cheatcode – AI Creators Are Quietly Printing Money

Where AI shifts turn into leverage, income, and unfair advantages.

The AI Cheatcode ∙ 15 LIKES ∙ 3 RESTACKS

ToxSec

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Jan 5

the adobe use case is really interesting. good to learn about. i know they have been slowly incorporating more and more ai into their tool suite.

Creators' AI

Jan 16

Claude Cowork, Google x Apple, Slackbot | Weekly Digest

PLUS HOT AI Tools & Tutorials

Hey! Welcome to the latest Creators’ AI Edition.

Creators AI ∙ 8 LIKES ∙ 1 RESTACKS

Ilia Karelin

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14h

I'm on Pro for Claude that Cowork is now available for Pro, Can't wait to get my hands on it.

I just recently wrote an article for Google and Apple, and what it means for the Apple users, but very much related to what you got in here!

Creators' AI

Jan 2

Meta x Manus | Weekly Digest | NY Edition

PLUS HOT AI Tools & Tutorials

Hello friends! Happy New Year!

Creators AI ∙ 12 LIKES

shige

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Jan 4

Thank you so much for featuring Giselle in your tools roundup!

As one of the co-founders, it's incredibly encouraging to see our open-source AI workflow platform recognized here.

We just hit #2 on Product Hunt Daily, and support like yours means so much to our team.

Wishing you and your readers a fantastic 2026! 🙌

Neural Foundry

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Jan 3

The FAL AI open-sourcing FLUX.2 Turbo is huge. Running at 6.6 seconds for 1024x1024 at $0.008 fundamentally changes image generation economics compared to proprietary APIs that charge 10x or more. The LoRA distribution on HuggingFace makes it insanely accessible for indie developers who dont have datacenter budgets. I've been using the base FLUX model for product mockups and seeing the turbo version hit 8 steps vs 40 is exactly the kind of optmization that makes real-time workflows finally viable.

AI Search

Jan 11

DeepSeek V4, LTX-2, UniVideo, SimpleMem, HY-MT, NeoVerse & more AI NEWS

Welcome to the AI Search newsletter. Here are the top highlights in AI this week.

UniVideo by Kling is an open-source AI model that can generate, edit, and understand videos all in one framework. It lets you make videos from text descriptions or still images and edit existing videos using natural language. This unified approach means fewer tools and smoother creative workflows.

AI Search

Epoch AI

Jan 16

How well did forecasters predict 2025 AI progress?

Mostly right about benchmarks, mixed results on real-world impacts

This post was written in collaboration between the AI Futures Project, the AI Digest, and Epoch AI. It analyzes the results of the 2025 AI Digest survey. You can take the 2026 AI forecasting survey here.

Anson Ho ∙ 12 LIKES ∙ 2 RESTACKS

The AI Dispatch

Jan 13

AI Turns Planning Digital-First

Inside the AI Transformation of Parts, People & Processes

Listen to the Audio Edition of This Week’s AI Dispatch:

InstaLILY AI ∙ 2 LIKES

Michael J. Goldrich

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The shift from investing in hardware first to simulation first is the right call.

You can't test risky decisions on physical infrastructure. AI-driven simulations let you fail fast and iterate without the cost of rebuilding.

Neural Foundry

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Love the restraint framing here. The PepsiCo digital twin aproach is a perfect example of AI earning its place rather than being forced into operatons. Last quarter we ran feasibility simulations for a client's warehouse redesign and it saved them from a costly mistake on automated sorting. The discipline of "data standardization first" that DHL emphasizes cant be overstated tho, most deployments I see fail at that step.

AI Realized Now | Shaping Enterprise AI Adoption

Jan 13

AI Realized Now Issue #12

Context graphs to ground agents in enterprise reality, vertical AI for context-rich execution, and Sviokla’s keynote on the two-speed future that will separate hybrid winners.

In this Issue

AI Realized

AI Monk

Jan 17

Your 2026 AI Toolkit: 20 Tools to Work Smarter

Hello friends 👋

AI Monk ∙ 14 LIKES ∙ 4 RESTACKS

Neural Foundry

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Really solid thinking on the 4-tool stack instead of hoarding 20 apps. I've been running a similar setup for a few months now and the clarity is real, you stop wasting time deciding which tool to use. One thing that actaully surprised me tho is how much LM Studio covers when internet drops or privacy matters more than speed. The local-first approach feels kinda underrated in these roundups but works.

AI Space

Jan 15

How We Stop AI From Going Off the Rails

From Chaos to Control in Intelligent Systems

The real danger in AI is not intelligence.

AI Space ∙ 2 LIKES

Poojitha Marreddy

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Thank you for sharing the insight on uncontrollable ai and guardrails to put in the system before things go bad.

In the same manner based on real world system I learned hard way and now wrote a breakdown for AI safety and Security guide in this last article. Hope this also gives more insights to community

https://open.substack.com/pub/poojithamarreddy/p/building-secure-agentic-ai-a-product?r=3qhz95&utm_medium=ios&shareImageVariant=overlay

Neural Foundry

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This is exactly what I've been saying! I worked on a support bot last year that kept escalating issues to managers without proper thresholds, and we ended up with VP-level staff handling password resets. The distinction between alignment and control really clicks for me because alignment is what we hope happens, control is what actually keeps things from going sideways. Most teams I see are still stuck at layer 1 thinking prompts will save them when they realy need structural guardrails.

AI Space

Jan 10

Why Traditional Chatbots Are Dead: AI Agents Are Replacing Them

How agentic systems are turning conversations into outcomes

The chatbot era is ending and a new class of autonomous, tool-using, memory-driven agents is taking over.

AI Space ∙ 2 LIKES

Il mecenate dell'IA

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What’s really dying here isn’t the chatbot — it’s the idea that intelligence lives at the interface. Once completion replaces conversation as the unit of value, UX becomes secondary to loop design, state management, and decision authority. Agents win not because they “act,” but because they persist.

AI Space

Jan 3

The Information Bottleneck in AI

How Compression Creates Intelligence

Why the smartest AI systems don’t remember everything- they remember only what matters

AI Space ∙ 3 LIKES

Michael J. Goldrich

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17h

AI becomes intelligent by forgetting more.

The compression principle explains why smaller, focused implementations often outperform massive general models.

If you're thinking about what this means for your team's AI strategy: https://vivander.substack.com/p/something-shifted-when-i-read-openais

Michael J. Goldrich

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The idea that intelligence is compression, not memorization, completely reframes how we should think about AI success.

Most orgs are still measuring AI like they measure databases: how much can it hold?

The real question is how well does it forget what doesn't matter.

AI Space

Jan 17

The Failure Modes of Agentic AI No One Warned You About

Why Most Teams Discover the Cracks Only After Real Damage Is Done

Agentic AI rarely fails at launch.

AI Space

AI Monk

Jan 3

🧠🤖 AI Agents Are Here: 10 Platforms Business Leaders Can’t Ignore

AI is no longer just about asking questions and getting answers.

AI Monk ∙ 12 LIKES ∙ 4 RESTACKS

Aguiyi MANAGER

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So special

Neural Foundry

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Jan 4

Solid breakdown of where the agent space actually is right now. The point about starting with existing toolstacks is smart because I've seen teams waste months builing custom solutions when Copilot Studio or Zapier Agents could handle it day one. One thing worth watching though is how these platforms handle failure modes when agents make the wrong call on an action. Most docs dunno how to roll back automated workflows cleanly yet.

AI Gamechangers

Jan 14

"What it’s allowed us to do is create something you couldn’t without AI"

Susan and Lee Cummings discuss AI-powered games that generate personalised characters in seconds

Hello and welcome to the latest edition of AI Gamechangers, your newsletter where we quiz people across the games industry who are doing practical, inventive things with AI. It’s been a busy week as we prepare to attend PG Connects London on Monday and Tuesday, where there’s sure to be plenty of AI chat. Many of our recent interviewees will be speaking …

AI Gamechangers ∙ 1 LIKES

AI Space

Jan 12

AI Feedback Loops: How Machines Learn From Mistakes

The Hidden Engine Behind Adaptive AI Systems

The next evolution of AI won’t come from bigger models, it will come from systems that teach themselves.

AI Space ∙ 2 LIKES

Michael J. Goldrich

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The idea that the next AI evolution comes from systems that teach themselves, not bigger models, is spot on.

Feedback loops are where real learning happens. Static training data only takes you so far.

Neural Foundry

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The shift from scale to feedback as the next improvemnt driver is spot on. I've been workign with self-evaluating code agents for the past 2 months and the iterative rewrite loops dramatically outperform single-pass generation on complex tasks. The "knowledge + judgement = intelligence" formula really captures why RAG alone feels incomplete for production systems.

Learn AI Together

Jan 8

Before You Build an AI Agent, Read This

The missing decision framework behind agentic AI architectures

Good morning, AI enthusiasts,

Louis-François Bouchard and Towards AI ∙ 14 LIKES ∙ 3 RESTACKS

Keshi Jain

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Hey , which agent do you recommend?

Aniket Chhetri

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Essential reading before diving into AI agent development. Architecture matters more than most realize.

Catalyst AI

Jan 11

A Practitioner’s Field Report on AI Transformation

522 People, 20 Months, One Uncomfortable Truth.

The best AI training doesn’t teach AI. It rewires how people see themselves.

Catalyst AI ∙ 5 LIKES ∙ 2 RESTACKS

Chad Woolley

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Excellent article. I'm inspired!

Michael J. Goldrich

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17h

The best AI training rewires people, not systems.

522 people over 20 months proves it's not about the technology.

Wrote about this shift from capability to readiness here: https://vivander.substack.com/p/something-shifted-when-i-read-openais

AI Monk

Jan 13

🚀 Stop Wasting Time: The AI Browser Plugins That Actually Changed My Productivity in 2026

Hi there! 👋

AI Monk ∙ 11 LIKES ∙ 2 RESTACKS

Kei Watanabe

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Thank you for featuring glasp.co!

Il mecenate dell'IA

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Browser plugins are interesting because they sit at the edge of cognition — always on, always intervening.

The risk isn’t dependency on tools, but erosion of intentionality: when every micro-task is optimized, it becomes harder to notice which tasks shouldn’t exist in the first place.

Used deliberately, these plugins buy back attention. Used indiscriminately, they quietly automate your priorities without asking whether those priorities still make sense.