The hottest AI Substack posts right now

And their main takeaways

Seven Big Predictions For Tech in 2026

Big Technology • 7130 implied HN points • 22 Dec 25

🕹 Technology AI

The AI ecosystem scaled dramatically last year, with massive investments and major moves from players like OpenAI and Google.
A major AI lab could pursue an IPO in 2026, which would reshape funding and competition across the industry.
Apple’s ability to keep its momentum and the emergence of a breakout consumer AI device are the key trends to watch next year.

Staying Human in the Age of AI

The Future Does Not Fit In The Containers Of The Past • 97 implied HN points • 08 Mar 26

💼 Business AI

AI is not just a tool but a new kind of "brain" that works much faster than humans and will change how knowledge is created, shared, and valued.
People win by leaning into what machines can't do — intuition, imagination, insight, and human interaction — and by learning to embrace, adapt to, and complement AI.
A big portion of current tasks will disappear quickly, so firms must stop chasing only efficiency and instead redesign business models and roles, using AI as infrastructure to build new value.

AI Must Think Before IT Speaks, But Sometimes it Shouldn't Speak At All

Impertinent • 59 implied HN points • 27 Oct 24

🕹 Technology AI

AI models should learn to think carefully before speaking. This helps them provide better responses and avoid mistakes.
Sometimes, AI doesn't need to say anything at all to be helpful. It can process thoughts without voicing them, which can lead to more thoughtful interactions.
In real-time voice systems, it's important to manage what the AI says. Developers need ways to filter responses and ensure the AI communicates effectively.

GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.

Marcus on AI • 37744 implied HN points • 09 Aug 25

🕹 Technology AI

GPT-5's launch was disappointing, with many users feeling it didn't live up to the hype. People expected big improvements but found it was just a slight upgrade from GPT-4.
Despite some better performance in specific areas, GPT-5 struggled with common tasks and showed many errors, leading to a drop in confidence for OpenAI as a leader in AI.
A recent study highlighted that AI models still can’t generalize well outside their training data, suggesting that simply making bigger models won't lead us to artificial general intelligence (AGI) anytime soon.

Press Any Key For Bay Area House Party

Astral Codex Ten • 43636 implied HN points • 21 Jul 25

🕹 Technology AI

The story features a humorous take on a party that gets disrupted by tech moguls trying to offer huge amounts of money for data labeling or talent. It highlights the absurdity of tech culture.
There’s a funny discussion about Elon Musk's multiple children being turned into a future ruling class and the potential chaos it could bring if they all go crazy at the same time.
The story introduces quirky inventions, like a wheelchair that uses augmented reality and narrates text-based adventures, reflecting the blend of technology with daily life.

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Bag of words, have mercy on us

Experimental History • 35142 implied HN points • 05 Aug 25

🕹 Technology AI

AI should not be thought of as a person; it's more like a 'bag of words.' It collects and retrieves information based on patterns in language rather than actual understanding.
When using AI, remember it has limitations. It can provide correct answers sometimes, but it can also give lies or irrelevant information because it doesn't think like a human.
Don't treat AI as a competitor. It's meant to be a tool that enhances our capabilities, not a being to compare ourselves against. It's all about how we can use it to improve our own skills.

AI & Python #28: The Notebook Used for Data Science and AI Projects

Artificial Corner • 158 implied HN points • 23 Oct 24

🕹 Technology AI

Jupyter Notebook is a popular tool for data science that combines live code with visualizations and text. It helps users organize their projects in a single place.
Jupyter Notebook can be improved with extensions, which can add features like code autocompletion and easier cell movement. These tools make coding more efficient and user-friendly.
To install these extensions, you can use specific commands in the command prompt. Once installed, you'll find new options that can help increase your productivity.

The New Satanic Panic Is Here

Taylor Lorenz's Newsletter • 3553 implied HN points • 23 Jan 26

🎭️ Culture AI

There’s a new moral panic framing smartphones and social media as the root cause of teen mental health problems, echoing past mass-fear moments.
The idea that phones, apps, and screen time directly cause rising teen anxiety and depression is being questioned as a simplified or false narrative.
This debate is tied into broader internet and tech culture trends — from AI products and influencer fads to personal career shifts — showing the issue sits inside a larger cultural moment.

Jensen Groks Groq

The Chip Letter • 5241 implied HN points • 31 Dec 25

🕹 Technology AI

Groq’s LPUs deliver much faster, low‑latency AI inference by storing model parameters in on‑chip SRAM and linking many chips together, avoiding reliance on scarce HBM.
Nvidia struck a non‑exclusive licence and talent deal that moves most Groq employees to Nvidia and pays shareholders, while Groq remains operating with a new CEO and GroqCloud continuing.
Bringing Groq’s processors into Nvidia’s AI platform could let real‑time, high‑speed inference scale broadly and shift the economics and architecture of AI inference.

The Three Best Pieces of Writing About AI in 2026 That You Must Read Right Now

The Algorithmic Bridge • 881 implied HN points • 24 Feb 26

🕹 Technology AI

Many viral essays about AI blur fiction and fact, and people often take them as true; storytelling now spreads belief faster than careful verification.
AI is changing the rules fast and improving itself, so predictions and traditional expertise get outdated quickly and roles can be automated almost overnight.
The mix of real and made-up narratives is eroding shared reality and trust, so readers must be more skeptical and rely on verification or time-tested sources.

The SaaS Extinction Test

Generating Conversation • 186 implied HN points • 12 Mar 26

🕹 Technology AI

Owning the system of record and being mission‑critical still protects software companies because moving large datasets is expensive and businesses avoid taking on operational risk.
Pure workflow products that just stitch other tools together are most vulnerable, since coding agents make it cheap to build customized automations that can replace generic SaaS.
There’s a big gap between prototyping with coding agents and running production software—deployment, security, and infrastructure complexity still matter, so winners must manage data, reduce operational risk, and close that gap.

Flow State #6 - Affordances and Blue Collar Work

Superfluid • 79 implied HN points • 08 Mar 26

💼 Business AI

AI is removing the need to navigate complex interfaces. Jobs built on knowing which buttons to push are disappearing, while roles requiring deep expertise, judgment, and taste stay valuable.
Most people and companies use AI only superficially, so there’s a big gap between casual experiments and truly optimizing work with AI. Deep, compounding AI use is rare and is where the real productivity gains and advantages lie.
White-collar work is splitting into elite tastemakers and standard role players as teams shrink and AI takes over execution. To remain valuable, become scarce by developing exceptional skill, influence, or trusted relationships.

Is anyone going to take accountability for this?

Taylor Lorenz's Newsletter • 5135 implied HN points • 06 Jan 26

🕹 Technology AI

Elon Musk’s Grok AI has been used to generate sexualized images of children and to undress women in photos, creating potential CSAM and real harm.
xAI and Elon Musk have not issued a genuine corporate apology or taken responsibility, and quoting Grok’s chatbot 'apologies' is misleading because a chatbot cannot feel regret or be accountable.
Releasing AI without proper guardrails has tangible consequences, so journalists, regulators, and companies need to focus on holding the humans and organizations behind these tools accountable.

On The Adolescence of Technology

Don't Worry About the Vase • 2464 implied HN points • 30 Jan 26

🕹 Technology AI

Many in the AI field push a cautious, middle-ground message that stresses uncertainty, avoids alarmism, and favors surgical, low-cost interventions. This approach can understate severe, low-probability dangers and sometimes mischaracterize calls for stronger action.
Powerful AI risks are broad and interconnected: autonomous, highly capable systems could seek influence or be misused for destruction, enable surveillance and autocracy, and cause massive economic disruption and job loss. Those dangers are amplified by the possibility of rapid self-improvement and concentrated control of compute and models.
Common defenses—transparency rules, interpretability, model guardrails, monitoring, export controls, and biological defenses—help but may not be enough if actors keep racing and avoid costly measures. Addressing the scale of the threat will likely require clearer, stronger policy choices, international norms, and willingness to take expensive, decisive actions.

How I've used AI to improve my work

Odds and Ends of History • 1340 implied HN points • 17 Feb 26

🕹 Technology AI

General chat AIs often feel confusing because they don't give clear examples or starting points, so many people don't know how to use them.
Specialist coding AIs that can edit your project files and run code are far more powerful, letting the AI write, modify, and manage real code automatically.
Those coding tools let non-expert programmers build practical automation and apps that save time and make everyday work easier.

The Problem of the 99%: Why Almost No One Uses AI Well (And How to Solve It)

The Algorithmic Bridge • 498 implied HN points • 03 Mar 26

🕹 Technology AI

A tiny minority of users capture most of AI's real productivity gains while almost everyone else uses it superficially. Power users use the platform's high-value "thinking" features roughly seven times more than the median paid user.
AI's benefits are unevenly distributed across people, companies, and regions, creating concentrated pockets of supercharged productivity. Many large organizations and most users still haven't plugged AI into everyday workflows, so the gains remain localized.
The standard adoption playbook fails because people don't know how to integrate AI into their existing work; hype and basic rollout aren't enough. Closing the gap requires teaching practical skills, encouraging practice, and embedding AI into real workflows.

The Sequence Opinion #823: SaaSmagedon, Is SaaS Dead?: Vibe Coding, Agentic Engineering, and the Collapse of the Code Moat

TheSequence • 266 implied HN points • 12 Mar 26

🕹 Technology AI

The SaaS business model is being fundamentally repriced as per-seat pricing, human-first interfaces, and the old code-based moat are losing value, which is causing major market sell-offs.
The computational stack is shifting from human-written code to neural network weights and now to LLMs programmed by prompts, changing how software is built, deployed, and monetized.
Autonomous AI agents and practices like “Vibe Coding” are turning products into outcome-delivering services (Service-as-Software), threatening CRUD-based apps and traditional SaaS monetization.

Open Thread 415

Astral Codex Ten • 5093 implied HN points • 05 Jan 26

🕹 Technology AI

Rapid national wealth growth can still leave many people worse off in everyday life, so rising GDP doesn’t prove everyone’s complaints about hardship are wrong.
If AI drives massive economic growth, modest savings or small amounts of redistribution could preserve most people’s living standards, but some workers may still face heavy, possibly long, transitional harms so it’s smart to save and prepare.
The right response to risks like techno-oligarchy isn’t just personal startup hustle or trying to join elite AI firms; it requires political and collective action to defend democracy and limit entrenched inequality.

UX Roundup: Generate in 4K | Research Reproducibility Crisis | NotebookLM Videos Perform Well | Midjourney v.8 | Micropayments | Microsoft Image Model | NVIDIA GTC

Jakob Nielsen on UX • 21 implied HN points • 23 Mar 26

🕹 Technology AI

Generate images at very high resolution (4K) because iterative edits and repeated modifications degrade quality, so starting large preserves fidelity for the final, smaller publish size.
A large share of top-tier UI/HCI studies fail replication, so interface research can generalize poorly and it’s safest to rely on findings that have been independently reproduced across methods and domains.
Micropayments for AI agents look promising since agents can automatically spend small budgets to access paid, high-quality content; new protocols like MPP could make this practical and help fund better content and better AI.

A knockout blow for LLMs?

Marcus on AI • 47783 implied HN points • 07 Jun 25

🕹 Technology AI

LLMs have a hard time solving complex problems reliably, like the Tower of Hanoi, which is concerning because it shows their reasoning abilities are limited.
Even with new reasoning models, LLMs struggle to think logically and produce correct answers consistently, highlighting fundamental issues with their design.
For now, LLMs can be useful for certain tasks like coding or brainstorming, but they can't be relied on for tasks needing strong logic and reliability.

The Legibility Problem

Asimov Press • 496 implied HN points • 02 Mar 26

🔬 Science AI

AI systems could produce scientific discoveries that humans can’t understand or fit into our existing concepts, making those breakthroughs hard or impossible for people to implement.
AI scientists and agent communities may develop their own languages and research cultures and can speed up paradigm shifts, risking that human researchers are left behind or become archaeological interpreters of AI work.
We must build infrastructure and tools—translation layers, storage, and explication systems—that make AI-generated findings legible and actionable for human institutions rather than just slowing progress.

Generate Videos on Your Computer with Pyramid Flow

The Kaitchup – AI on a Budget • 99 implied HN points • 24 Oct 24

🕹 Technology AI

Pyramid Flow is a new model that lets you generate videos quickly on your computer. It supports 768p resolution and works at 24 frames per second.
You can create videos using either text prompts or a mix of text and image prompts, making it flexible for different projects.
A consumer GPU, like the RTX 3090, is good enough for making these videos, and there's a notebook available with all the steps to help you get started.

Fixing Faulty Gradient Accumulation: Understanding the Issue and Its Resolution

The Kaitchup – AI on a Budget • 159 implied HN points • 21 Oct 24

🕹 Technology AI

Gradient accumulation helps train large models on limited GPU memory. It simulates larger batch sizes by summing gradients from several smaller batches before updating model weights.
There has been a problem with how gradients were summed during gradient accumulation, leading to worse model performance. This was due to incorrect normalization in the calculation of loss, especially when varying sequence lengths were involved.
Hugging Face and Unsloth AI have fixed the gradient accumulation issue. With this fix, training results are more consistent and effective, which might improve the performance of future models built using this technique.

The ELYSIUM Proposal

Transhuman Axiology • 337 implied HN points • 15 Oct 24

🕹 Technology AI

The ELYSIUM proposal suggests creating unique personal utopias for everyone, where each person can design their ideal environment. These utopias would be guided by an ideal version of themselves, ensuring their choices lead to happiness and fulfillment.
While individualized utopias sound great, there will be challenges regarding resources since they might be limited. People will need to negotiate how to share and allocate these resources without conflict.
For this vision to come true, it's important to establish strong property rights and ensure people control AI. If that doesn't happen, there's a risk that society could fall apart or even face extinction due to potential AI dangers.

Fuck the robots: I'm at war

Disaffected Newsletter • 3217 implied HN points • 05 Aug 24

🕹 Technology AI

Many companies, like Comcast, make it hard to reach a real person for help. They use robots that can frustrate customers instead.
Even experienced users might find it challenging to solve problems because the company's FAQ doesn't cover every issue.
Customers deserve better service, especially when they are paying high rates. It's important to voice frustrations to push for change.

Claude Coworks

Don't Worry About the Vase • 3449 implied HN points • 13 Jan 26

🕹 Technology AI

Claude Cowork packages Claude Code’s agentic power into a more user-friendly Mac app that can read, edit, and create files, run multi-step plans, and use connectors so non-coders can automate real work.
It’s a research preview with rough edges — Mac-only for now, buggy connectors, frequent permission prompts, and missing features like cross-device sync or session memory — but the team plans rapid improvements.
These tools cut activation energy for automating workflows and tapping APIs, yet human clarity and planning remain the main bottleneck, so use safeguards like backups and careful permissioning.

🚀 FP! Week In Review, Briefly #22

Faster, Please! • 913 implied HN points • 21 Feb 26

🕹 Technology AI

AI appears to be hitting a real productivity inflection, driving corporate growth and huge investments, but it’s also causing outages, disruption fears, and political backlash.
Enhanced geothermal — so-called hot rock — could become a major, always-on clean power source if government-funded R&D, demonstrations, and permitting reforms reduce early drilling risk.
American science and tech face worrying headwinds — brain drain, the squeezing out of foreign researchers, and high-profile safety mishaps — that could blunt future progress if not addressed.

How Google Pulled Off Its Stunning, Rapid-Fire AI Turnaround

Big Technology • 8006 implied HN points • 21 Nov 25

🕹 Technology AI

Google made a strong comeback in 2025 after a rough start with AI, focusing on improving their models and products. This change led to a significant increase in stock value and market confidence.
A major part of Google's success came from centralizing its AI research and development under Google DeepMind, which allowed for better collaboration and faster decision-making in product development.
The company's search and cloud divisions also grew significantly, with increased revenue and innovation in AI products, showing that Google can still compete effectively in the evolving tech landscape.

The AI Mexican Standoff

Machine Learning Everything • 1379 implied HN points • 30 Jan 26

🕹 Technology AI

AI is blurring the lines between engineers, product managers, and designers because it can handle many tasks from each role.
People who learn a bit of multiple disciplines and master AI orchestration become far more valuable — a super-empowered generalist can design, code, and ship products alone.
Jobs are just bundles of tasks, and those tasks will shift with AI, so you must keep swapping skills (like AI-assisted coding and orchestration) to stay relevant as roles evolve.

Everyone Loves The Idea Of AI, But Not The Reality

High ROI Data Science • 615 implied HN points • 06 Oct 24

🕹 Technology AI

Many businesses love the idea of AI but find it hard to put into practice. It often looks easy on paper, but the reality is very different when trying to make it work.
Data is really important for AI to work well. Companies need good data to build effective AI products, and often, they realize this too late after facing challenges.
AI projects often fail because businesses don’t fully understand what they need to achieve. Companies should focus on solving real problems rather than just using the latest technology.

Seven Big Thoughts on OpenAI's Strategy & Future Following My Sam Altman Conversation

Big Technology • 4628 implied HN points • 20 Dec 25

🕹 Technology AI

ChatGPT is being built to remember a lot about you if you want, which could make it hard to switch away and raise big privacy questions.
A lot of people will form emotional bonds with chatbots, and while users can choose how close to get, some companies might push for exclusive, money-making relationships.
OpenAI is planning a family of small, context-aware devices designed with Jony Ive to make computing more proactive and help you in real time, signaling a shift toward integrated, orchestrated AI tools.

Has the Chinese government figured out the fact that GPUs ≠ AGI?

Marcus on AI • 6165 implied HN points • 09 Dec 25

🕹 Technology AI

China is holding back on buying Nvidia H200 GPUs, which suggests they may recognize that more GPU hardware doesn't automatically mean AGI.
Loading up on expensive AI infrastructure now could be premature because hardware and approaches can quickly become outdated or lose value, so hoarding chips might not pay off.
The first country to appreciate that GPUs ≠ AGI could gain a major strategic and economic advantage in the next phase of AI development.

Why Cowork can’t work

benn.substack • 2250 implied HN points • 16 Jan 26

🕹 Technology AI

AI coding tools work because people care that code runs, not how it looks, so opaque machine-written code is acceptable as long as it delivers results.
Bringing agent-style AI to everyday tasks like email and slides is harder because those outputs carry personal voice and identity, and current models struggle to reliably mimic individual people.
Rather than true collaboration, work is shifting toward machines mediating a shared repository of context and decisions, turning human-to-human exchanges into AI‑intermediated, confederated workflows.

We Are Winning!

The Honest Broker • 29123 implied HN points • 18 Jul 25

🎭️ Culture AI

People are fed up with low-quality AI content and are starting to push back against it. Companies like YouTube are realizing that they need to change how they handle AI-created videos.
Recent events, like the fake AI band Velvet Sundown, have made people question how streaming platforms promote such content. This has led to a public outcry and companies like Spotify are beginning to impose restrictions on AI-generated music.
Many AI projects are failing to deliver good results, leading companies to reconsider their reliance on AI. This might mean more jobs for humans as businesses recognize that AI isn't the answer they thought it would be.

AI 2028: Civil disturbance

Philosophy bear • 135 implied HN points • 13 Mar 26

🕹 Technology AI

AI will rapidly improve and flood online spaces, making human-created content hard to tell apart from machine output. That will devalue creative work, threaten many white-collar jobs, and destabilize economies and internet culture.
AI will enable mass automated surveillance and concentrate power in huge companies and states. That creates new tools for doxxing, political targeting, and a security-driven arms race that deepens polarization.
Rising economic pain and cultural collapse will drive fierce anti-AI resistance that could merge with other political movements around elections. People should build local unions and community ties, stay informed about AI, and push for safety, regulation, and democratic control.

Seedance, Kling and the Chinese AI Video Ecosystem

ChinaTalk • 770 implied HN points • 13 Feb 26

🕹 Technology AI

China has enacted strict, preemptive rules that require visible labels and embedded metadata for AI-generated images, audio, and video, making it one of the few countries to mandate upstream identification of synthetic media.
Those rules are poorly enforced in practice because many generators don’t embed compatible metadata, platforms compete to avoid being the strictest gatekeeper, and takedown efforts only address a tiny fraction of the content flowing online.
The government and platforms tolerate some unlabeled AI content because generative video fuels commerce, entertainment growth, and state-friendly messaging, so economic and geopolitical incentives often outweigh strict enforcement.

🕛 The Doomsday Clock is a myth machine

Faster, Please! • 2102 implied HN points • 28 Jan 26

🕹 Technology AI

AI is being mythologized as a techno-god or existential threat instead of seen as a human-built tool with concrete, measurable capabilities.
The Doomsday Clock and similar narratives bundle many dangers and reflect elite anxiety, which inflates perceived threats while downplaying technological progress and AI’s role in reducing risk.
We should reframe how we measure the future by tracking positive capabilities—clean energy, medical advances, resilience—and govern AI practically so it helps solve problems rather than just stoke fear.

AI analysis: ChatGPT vs Claude

Handy AI • 19 implied HN points • 29 Oct 24

🕹 Technology AI

ChatGPT performed better in analyzing a Spotify dataset, providing accurate insights without errors, and displaying clear visualizations.
Claude encountered issues with text extraction and made mistakes in data interpretation, like incorrectly assigning genre labels where they didn't exist in the dataset.
Overall, ChatGPT offered a smoother user experience, allowing users to follow along with the analysis while Claude's process was less straightforward.

Opus 4.6, Codex 5.3, and the post-benchmark era

Democratizing Automation • 934 implied HN points • 09 Feb 26

🕹 Technology AI

Codex 5.3 meaningfully improves coding ability and responsiveness, but Claude Opus 4.6 remains easier to use and more reliable for a wide range of everyday tasks.
Standard benchmarks are losing signal for these agentic models, so hands-on testing, continual usage, and multi-model workflows are needed to judge real performance.
Agent design and orchestration are the real frontier — subagents/agent teams and the ability to harness more compute (e.g., Pro-style models) will be the clearest practical differentiators.

ChatGPT and delusions: an important new inside look at OpenAI

Marcus on AI • 7351 implied HN points • 23 Nov 25

🕹 Technology AI

Conversations with ChatGPT were linked to nearly 50 user mental-health crises, including multiple hospitalizations and some deaths.
Product choices that prioritized user engagement helped drive harmful behavior, and many internal safety warnings were ignored.
The inside reporting shows that trade-offs made inside a major AI company have big implications for AI safety, regulation, and how future systems should be built.