Search: “ethan-mollick”

It is worth being very, very careful about how you are approaching routing, especially when the systems are primarily tested on verifiable IT benchmarks, which may lead you to overestimate the ability

Like if you have been using Qwen & Kimi & MiniMax, it feels like GLM is right on the curve. Which is itself impressive, and suggests that Mythos class models are coming in 6-12 months (if they are all

Nice example of the increasing benefits of open science and transparent methodologies when writing papers about AI. A big problem with research studies on AI models is that given how long the peer rev

Ethan Mollick discusses OpenAI's naming convention and model release strategy, speculating on what capabilities or timeline the company might be reserving the GPT-6 designation for rather than applyin

The more serious answer @emollick I actually wouldn't be surprised if we're generally in an AI model release moratorium (regardless of capabilities) until the cybersecurity benchmark is finalized. Not

The old BBC 'Industrial Revelations' series is a great overview of what makes an Industrial Revolution Steam alone wasn't enough, it required thousands of skilled workers figuring out how to apply thi

A thing I am noticing is the number of folks who believe AI is “real” is larger, but now there is a growing division between people who know that we are on an exponential & those whose mental model is

And the idea that frontier open weights models will continue to be released was fragile even before the current de facto licensing regime. https://x.com/emollick/status/2067669551685218638?s=20 Is the

Ethan Mollick notes that OpenAI has not released a GDP value metric for GPT 5.6, which he identifies as one of the most useful measures for quantifying the economic value generated by AI systems. This

It is entirely possible that the steady-state people will prove to be right in the future, but there's no sign of a slowdown yet. And if greater intelligence brings greater value at an exponential pac

Lots of advances coming from the open source harness movement (including Moltbook, RAG approaches back in the day, etc.) but they depend on the intelligence of the models created by a small handful of

One of the recovered passages, read for the first time in two thousand years: “Having…strained ourselves to the utmost through research and learning…possessing the same practical wisdom…” Herculaneum

Ethan Mollick comments on how a new licensing regime will likely eliminate vague model announcements and promotional posting practices previously used by AI labs. The post uses literary language ('Goo

The talk around openness & AI needs to distinguish between the vibrant and innovative open source movement that is advancing the state-of-the-art on harnesses & other key areas and open weights fronti

As this post points out, contrary to what many say, the US government could absolutely effectively ban open weights models. That doesn’t mean you won’t be able to download the weights & run them, but

Finally, AI finds its ultimate uncontroversial use. A diffusion model trained on burger recipes 'discovers the classic Big Mac without explicit supervision and generates novel burgers optimized for de

Great experiment testing how good AIs are getting at very ambitious end-to-end coding tasks. Opus 4.7, in 14 hours, was able to build a software package that would take 2-17 weeks of human engineering

I feel like on X all you hear about is elaborate plans by firms to build their own AI stacks but in my experience companies are full of people who want access to Claude or ChatGPT and are pressuring t

If you want to read an interesting AI thinking trace, try 'I want you to suggest two poems that you think apply very well to the current state of GenAI models like you. Don’t just pick popular poems a

It may be obvious, but a lot of the first reaction to the gains in AI capability is going to be 'just muddling through' rather than executing on a rational plan. (this is what humans always do in rapi

Many companies could build their own Workday or whatever, too, using open source alternatives. They don't do that for a wide variety of reasons. Same dynamics apply in AI, only more so (upgrade cycles

Most companies are not even thinking about giving every employee a fine-tuned self-hosted version of GLM that they need to update and keep harnessed and build connectors for. There are lots of places

Ethan Mollick argues that regulatory frameworks for AI will not overlook or exempt open-source AI systems from compliance requirements, implying that future AI regulation will comprehensively address

Ethan Mollick compares Claude and GLM-5.2 AI models, noting that while GLM-5.2 excels in certain capabilities, Claude distinguishes itself through its self-reflective persona and other characteristics

I know this is a common thing to mention in some corners of X, but there is still so much focus on future model development & innovation bringing transformation that people are really overlooking the

If it was just military implications, that would be one thing, but if this is about info security at scale (as Five Eyes suggests), publicly understanding risks and mitigations is incredibly important

It would be very useful to understand more about the government safety concerns associated with frontier AI releases so we could (a) know what risks everyone will face if/when open source reaches Myth

State of the art in AI image generation less than 5 years ago. This is a pretty terrific computational image generator for making AI-created trading cards (or, heaven forbid, NFTs) The only prompt I g

The capability overhang from the models we have today is big enough that large-scale change to work and society over the next 5+ years is now inevitable even if AI development stops. (And there is no

This is a fascinating and important set of data which shows us where things are going, using OpenAI as a canary in the coal mine. The chatbot era is over, and agentic systems are coming to tasks beyon

This entry examines research showing a discrepancy between people's stated AI usage and their actual behavior, revealing that many individuals who claim they don't use AI are unknowingly or covertly u

Decisions about how to use AI in your organization are increasingly organizational design and strategy decisions, not IT choices: How do you integrate agents into your firm? What intelligence will you

Gemini 3 Pro was the first model to achieve at least 23% on ARC-AGI-2, which it did in November, 2025 (it actually scored 31%). So the 8-12 month gap between closed and open weights models still seems

Ethan Mollick shares a positive experience about how GitHub Copilot's Codex model has significantly improved his productivity by helping solve problems across multiple Windows machines, describing it

A case study in why organizations should both incentivized their employees to explore AI uses that help them & have a Lab of dedicated AI builders Here, Cornell's finance & AI teams created a /treasur

All Mythos-level models are likely to invite similar risks. Those risks will only be greater with the release of open Mythos-class AI coming in the next 6-12ish months (assuming China allows it) The l

This post likely showcases a collection of fantasy maps and diagrams, possibly illustrating world-building elements, geographic layouts, or visual designs from fantasy works or fan creations. The cont

Here's Sonnet 3.7 doing the same thing a year ago. https://x.com/emollick/status/1894441728175677837?s=20 Snake games are a bad test of AI beca- 'Claude 3.7, make a snake game, but the snake is self-a

I know they are pivoting to health care(?!) but there is still nothing like Midjourney for making strange and atmospheric images and short animations in ways no other AI image generator can do. Here a

This post likely discusses opportunities for significant gains or improvements that are readily available and easy to capitalize on for those with the capability or resources to act on them. The 'low

This post from Ethan Mollick likely explores how organizations can effectively implement AI through three key dimensions: leadership approaches to AI adoption, lab-based experimentation and testing, a

Classic short term thinking. What about the heat death of the universe? This paper shows we could survive 100 billion years past the end of all near stars, if we start building Dyson Spheres around mi

I have been trying Sakana Fugu Ultra-high and, first, it is incredibly slow: my typical coding tests (shaders, interactive scenes) take 30 minutes to run And the results are... fine. It does not match

Its been 10 days and the situation with Fable remains essentially just as confusing. (There have been many contradictory reports and articles and posts from different parties, which does not lower the

Prompt: build a really amazing snake game where the snake gradually becomes aware it is in a snake game and that gets integrated into the gameplay. many clever reveals but also fun to play. the game s

The thing that made Fable so impressive was its creative problem-solving and good judgement calls across long-running projects You can see this when I had it make a self-aware Snake game. I gave it no