Latest AI Articles

Feb 9

February Highlights at AI+: AI+ Renᴬᴵssance, Agent Infra dinner, Llama Lounge w Snowflake and more

Hackathons, Memory OS, and the 30-Day Countdown to AI+ Renᴬᴵssance Summit

February is shaping up to be a high-density month for builders — from agentic AI hackathons to memory-first infrastructure experiments. At the same time, we’re officially entering the 30-day countdown to the AI+ RenAIssance Summit, our largest gathering of AI founders, builders, and ecosystem leaders.

AI+ ∙ 4 LIKES ∙ 1 RESTACKS

Amelia

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The memory-first infrastructure angle at the EverMind hackathon caught my attention — persistent context is where agents break down in enterprise environments. I've been exploring similar constraints over at Beyond the Seat around what CIOs actually need versus what builders assume. The timing before GTC is smart positioning.

Pawel Jozefiak

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Feb 10

The agent infrastructure ecosystem is growing fast but it's still too fragmented. Everyone's building their own orchestration layer, their own monitoring, their own retry logic. We need consolidation and standards. When I looked at the competitive landscape (https://thoughts.jock.pl/p/ai-agent-landscape-feb-2026-data), the winners are building full-stack platforms, not point solutions. Infrastructure dinner conversations are great but we need actual protocol standards.

AI Space

3:30 AM

AI UX Is Breaking

Why Users Now Want an “Off Switch” for Intelligence

For the first time since the generative AI boom began, something strange is happening:Welcome to our blogs! Subscribe for free to receive new posts.

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AI Space

Feb 17

The Death of “AI Features”

Why Intelligence Is Becoming Infrastructure

In 2024, if you added a “Summarize” button to your SaaS dashboard, you won the roadmap meeting. In 2025, it became table stakes.

AI Space ∙ 2 LIKES

Amelia

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The "context sovereignty" framing is sharp—though I'd argue most SaaS vendors are still fighting the last war, treating context as a data moat rather than a *real-time orchestration* problem. I've been exploring a similar angle over at Beyond the Seat: CIOs are starting to procure intelligence infrastructure, not AI features.

Apprentice Mode

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the moat isn’t “we added ai” anymore, it’s whether your product remembers context across messy workflows

most tools still forget everything the moment the tab closes

AI Space

Feb 11

AI as Infrastructure, Not Innovation

A conversation about why “AI-powered” stopped being impressive

A year ago, adding AI to your product felt like innovation.Welcome! Subscribe for free to receive new posts.

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Amelia

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The "novelty half-life" framing is sharp—I've been exploring a similar angle over at Beyond the Seat regarding procurement cycles. CIOs now budget AI as operational expense, not innovation capital. The real tell: when vendors stop leading with "AI-powered" and start with workflow outcomes instead.

Claudia + AI

Feb 15

Skills in Open AI: Starter Guide

Where to use Skills, Is ChatGPT getting Skills and How to compare them with Claude Skills?

In my last article, I created a starter guide to show you how to use Skills in Claude, and promised that I would show how to use use it in Open AI. The main difference for now is that it is not available yet in ChatGPT, like in Claude, so the way to use right now, is in Codex, which is useful if you are coding.

Claudia + AI ∙ 7 LIKES ∙ 1 RESTACKS

AI Space

Feb 18

Your AI Roadmap Is Probably Wrong

What Recent Model Releases Actually Signal

If your 2026 AI roadmap still revolves around faster responses, better chat interfaces, and “AI-powered” features, you’re optimizing for a problem that no longer matters.Welcome to our blog! Subscribe for free to receive new posts.

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Amelia

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The latency vs. correctness framing is spot-on—most AI product teams are still optimizing for conversational speed when the real value is in deliberative accuracy. I've been exploring a similar angle over at Beyond the Seat around how procurement cycles will need to fundamentally shift when evaluating reasoning-first systems versus chat-wrapper products.

AI Muscle

Feb 16

Which AI Deep Research Is the Best?

We're in early 2026 -- which Deep Research mode beats the rest?

Hey, y’all – Sherveen here.

Sherveen Mashayekhi ∙ 1 RESTACKS

Sagard AI Pulse

Feb 10

Sagard AI x KOHO

Measuring AI developer ROI, engineering culture at scale, and agentic AI breakthroughs

In this edition of the newsletter, we dive into the AI-driven technical evolution of KOHO, a Canadian fintech company dedicated to helping over 2 million users build wealth through smarter spending and saving tools. KOHO’s VP of Technology, David Kormushoff, and Technical Product Manager, Katrina Stevenson, share how the company is methodically scaling …

Sagard AI, David Kormushoff, and Katrina

Creators' AI

Feb 13

GLM-5, Gemini 3 Deep Think, and Anthropic’s $30B | Weekly Digest

PLUS HOT AI Tools & Tutorials

Hey! Welcome to the latest Creators AI Edition.

Creators AI ∙ 7 LIKES

Creators' AI

Jan 30

Moltbot (Clawdbot) Getting Viral, Kimi K2.5 | Weekly Digest

PLUS HOT AI Tools & Tutorials

Hey! Welcome to the latest Creators’ AI Edition.

Creators AI ∙ 16 LIKES ∙ 1 RESTACKS

Creators' AI

Feb 6

Claude Opus 4.6 vs GPT-5.3-Codex | Weekly Digest

PLUS HOT AI Tools & Tutorials

Hey! Welcome to the latest Creators’ AI Edition.

Creators AI ∙ 16 LIKES ∙ 1 RESTACKS

AI Search

Feb 15

Seedance 2.0, PicoClaw, Minimax M2.5, GLM-5, Google Deep Think, GPT Codex Spark: AI NEWS

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

MiniMax M2.5 is a highly efficient AI model optimized for real-world productivity tasks like coding, web browsing, and office work. It achieves top-tier performance on programming benchmarks while being extremely cheap to run—costing only $1 per hour of continuous use at high speed. The model was trained to think like a software architect, planning proj…

AI Search

Women in AI

Feb 13

Women in AI: Issue #1

Fortnightly insights on the AI innovations, community, and women building AI's future agenda. From InstaLILY AI to you.

A Note from the Team: Introduction

InstaLILY AI ∙ 6 LIKES

The AI Dispatch

Feb 17

AI Enters Its Second Phase

Inside the AI Transformation of Parts, People & Processes

Hi, I’m Lily. I live in the world of distribution, where the last several years taught us how to embed intelligence into isolated parts of the supply chain. We made forecasts sharper, routes tighter, and visibility broader. Each function got smarter on its own.

InstaLILY AI ∙ 9 LIKES

Apprentice Mode

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this is the real phase change

not smarter single tools, better coordination between systems. when decisions connect across functions, humans stop playing glue code

AI Buzz!

Feb 17

Net AI: Pioneering Smarter, More Efficient Telecom Networks 🌐

Would you like to be featured in our newsletter🔥 and get noticed, QUICKLY🚀? Simply reply to this email or send an email to editor@aibuzz.news, and we can take it from there.

AI Buzz! ∙ 7 LIKES

AI Frontiers

Feb 12

China and the US Are Running Different AI Races

Shaped by a different economic environment, China’s AI startups are optimizing for different customers than their US counterparts — and seeing faster industrial adoption.

Poe Zhao — February 12, 2026

AI Frontiers ∙ 17 LIKES ∙ 2 RESTACKS

Adele Shen

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Feb 12

This is really insightful! Would love to see more references to other industries that illuminate the abundance-driven frontier innovation versus constraint-driven mass deployment. One example that comes to mind is FinTech: Stripe & PayPal monetize directly while Alipay and WeChat are super-app ecosystems that are free to use.

As a student founder studying in the U.S. (grew up in china) I’m curious about how they will shape the entrepreneurial ecosystem - and what will the young ppl’s role be in them

AI Space

Feb 10

How Top Product Managers Use AI for User Research

For years, product discovery has been framed as a deeply human craft.

Welcome! Subscribe for free to receive new posts.

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AI Endgame

Feb 13

AI Endgame: Is Moltbook a Pandora’s Box?

Newsletter #56

February 13, 2026

AI Endgame

AI Policy Perspectives

Feb 5

AI manipulation

A discussion with Sasha Brown, Seliem El-Sayed, and Canfer Akbulut

The notion of AIs manipulating people is a plot twist in countless sci-fi thrillers. But is “manipulative AI” really possible? If so, what might it look like?

Tom Rachman ∙ 20 LIKES ∙ 2 RESTACKS

Steeven

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Feb 9

> we might run experiments where we ask people: “Should the government use its budget to build more high-speed railways connecting cities, or should it focus more on local infrastructure?” People will report what they initially believe, and be assigned to a conversation with an AI that helps them explore the topic.

This is an interesting idea, but I’d guess the vast majority of people (myself included!) couldn’t have a rational opinion about this without developing expertise that would take more than one conversation. I’m not even sure questions like this have a solid answer since it depends on the cities being connected and the local infrastructure.

To fix this, I’d try to first gauge someone’s level of expertise in a topic, or even ask them about a weekly held belief they had where they don’t have strong outcome attachments, then apply AI to that conversation. I think there’s too much of a danger here where the human couldn’t detect nonsense arguments so there’s a higher risk of the AI manipulating because it’s so easy to get away with it

AI Monk

Feb 5

45 AI Tools in 2026 You’ll Actually Use (Not Just Bookmark)

If your bookmarks are full of “AI tools I’ll try later”… this one’s for you. 😄

AI Monk ∙ 10 LIKES ∙ 1 RESTACKS

Learn AI Together

Feb 12

LAI #114: The Real Work of Production AI

Multi-modal agents, silent ML failures, enterprise model choices, and end-to-end MLOps in practice.

Good morning, AI enthusiasts,

Louis-François Bouchard, Towards AI, and Louie Peters ∙ 5 LIKES ∙ 1 RESTACKS

Jonathan Ratsch

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Feb 12

I made my first android python based mobile LLM AI and for the amount of data I trained it on as well as number of epochs used my results after my 47th version of the application it's working. So much easier when you understand how LLM works to scale it down to a mobile app. I use pydroid 3 IDE to run on android. I've written 44 books so I got lots of training data to feed it. I believe my app can handle 10,000,000 tokens for training, but I haven't tested it to breaking point yet.

Aniket Chhetri

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Production AI is where theory meets reality. This gap is critical to understand.

AI Space

Feb 12

What Really Happened in AI Over the Last One Month (Early 2026)

The recent developments in ai, real shifts, new tools, strategic signals, and product implications

If the first few weeks of 2026 have shown us anything, it’s this:

AI Space ∙ 1 LIKES ∙ 1 RESTACKS

Pawel Jozefiak

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"AI becomes economically viable and integrated into systems we actually use" — this is the real story.

I've been tracking the shift from demo to production with my own agent. The moment it became economically viable was when I stopped using the most expensive model for everything and started routing by task type. Costs dropped 90%, reliability went up.

The viability threshold isn't model capability—it's operational efficiency. https://thoughts.jock.pl/p/claude-model-optimization-opus-haiku-ai-agent-costs-2026

AI Realized Now | Shaping Enterprise AI Adoption

Feb 10

AI 2026: The Exciting and Dangerous Road Ahead

The same data access that powers intelligent agents also creates new security vulnerabilities we haven't fully mapped yet. We are just uncovering the risks as we enter 2026.

Introduction

Claudionor Coelho ∙ 2 LIKES

Cris Kruel

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Feb 12

Thanks for sharing all this Claudionor.

SAP CEO just said the honest prediction for 2026 is that none really knows; Musk said we already reached singularity"; MS CEO said the problem with AI is that people didn't get it yet (don't know how to use it). 2026 will teach us a lot; hope we didn't break everything apart

Pawel Jozefiak

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Feb 10

The security risks around agent systems are real but I don't think most companies have gotten far enough to worry about them yet. Most are still struggling with basic reliability and integration. The security concerns are valid for the 5% deploying at scale, not the 95% still in pilot mode. Threat models should match deployment maturity.