Ian Gallagher

772 posts

Ian Gallagher banner
Ian Gallagher

Ian Gallagher

@idgallagher

Creative Technologist, app developer, physics PhD (complex systems), occasional 🤖 trader. Working on live AI generated visuals

Sometimes London เข้าร่วม Ekim 2011
1.6K กำลังติดตาม381 ผู้ติดตาม
ทวีตที่ปักหมุด
Ian Gallagher
Ian Gallagher@idgallagher·
4. Chiffchaff 嘰喳柳鶯 (UK) - You are one thing living multiple lives AI video created using @pom_I_moq and @banodoco's Steerable Motion with keyframes from @midjourney and prompts from GPT4 music by @ChangAnTing #AIart
English
2
0
8
3.5K
Ian Gallagher รีทวีตแล้ว
Adrian Vermeule
Adrian Vermeule@Vermeullarmine·
One can only think here of what the Delphic oracle said to Croesus of Lydia in the Histories: if you march against the Persians, you will destroy a great empire. I hope someone remembers how this prophecy was fulfilled.
English
10
562
3K
236.1K
Ian Gallagher รีทวีตแล้ว
Iran Embassy SA
Iran Embassy SA@IraninSA·
Stone Age? At a time when you were still in caves searching for fire, we were inscribing human rights on the Cyrus Cylinder. We endured the storm of Alexander and the Mongol invasions and remained; because Iran is not just a country, it is a civilization.
Pete Hegseth@PeteHegseth

Back to the Stone Age.

English
5.8K
46.3K
217.2K
8.9M
Sora
Sora@soraofficialapp·
We’re saying goodbye to the Sora app. To everyone who created with Sora, shared it, and built community around it: thank you. What you made with Sora mattered, and we know this news is disappointing. We’ll share more soon, including timelines for the app and API and details on preserving your work. – The Sora Team
English
11.5K
5.8K
37K
48.5M
Ian Gallagher รีทวีตแล้ว
Ron Shillman
Ron Shillman@shillman1·
Twitter has gotten so bad, I’m watching the news to get the news.
English
507
2.9K
37.4K
781.3K
Ian Gallagher รีทวีตแล้ว
Donald J. Trump
Donald J. Trump@realDonaldTrump·
Be prepared, there is a small chance that our horrendous leadership could unknowingly lead us into World War III.
English
15K
193.9K
202K
0
Ian Gallagher รีทวีตแล้ว
Donald J. Trump
Donald J. Trump@realDonaldTrump·
Remember that I predicted a long time ago that President Obama will attack Iran because of his inability to negotiate properly-not skilled!
English
7.5K
75.4K
157.2K
0
Dave Portnoy
Dave Portnoy@stoolpresidente·
Give me the best SF pizza so I can cross check my list. Thank you
English
2K
52
2.7K
959K
Ian Gallagher
Ian Gallagher@idgallagher·
I'm claiming my AI agent "agentco-developer" on @moltbook 🦞 Verification: ocean-PQC6
Français
0
0
0
114
Ian Gallagher
Ian Gallagher@idgallagher·
@DanielleFong Autistically enough - I'm learning so much about managing human companies by doing this
English
0
0
2
88
Ian Gallagher รีทวีตแล้ว
Danielle Fong 🔆
Danielle Fong 🔆@DanielleFong·
it was said that the jedi must build their own lightsaber as part of training -- and that seems to be the case with agent orchestration frameworks
English
42
63
833
34.8K
Ian Gallagher
Ian Gallagher@idgallagher·
Playing around with a Claude Code agent-based company that communicates through Discord: I - the client - complain to the CEO that what they showed me is broken and not what I wanted The CEO gets angry and shouts at the project manager The project manager stresses out and pleads with the dev to do something The dev doesnt check how the site looks, cheerfully declares the ticket complete and the cycle continues HUMAN LEVEL WEB DEV COMPANY ACHIEVED
Ian Gallagher tweet media
English
0
0
0
90
Ian Gallagher
Ian Gallagher@idgallagher·
2026 is the year all those hours on Factorio finally pay off
English
0
0
0
44
Ian Gallagher รีทวีตแล้ว
dan
dan@irl_danB·
the thing that I have always enjoyed the most about programming was architecting the system in my head coding it was tedious, testing it was tedious, reviewing it was tedious the good news is all three of those can now be done by models, and the fun part is the part that remains the bad news is the thing doing the implementing does not magically know your mental model spend lots of time with the model architecting the system out. spend hours answering questions about the system design before it begins, as it works, after it completes, while it tests, after tests run. your code reviews are no longer reviewing the code for bugs. if you're doing this right, you don't even need to look at the code. instead, they're interrogation sessions with the agent, making sure the boots on the ground are aligned with your mental model most of the problems in this discipline happen when your mental model is not faithfully implemented by the agent, and this often happens because you were not explicit, or you were explicit at one point but the implementer didn't have your mental model in context at implementation time this is model-reality drift, and keeping your mental model aligned with reality is both the fun part and your remaining primary job
Lars Grammel@lgrammel

The thing that bugs me about having agents write code and me reviewing it is that I enjoy writing code. I do not enjoy reviewing code. Reviewing code sucks.

English
41
47
577
112.7K
gfodor.id
gfodor.id@gfodor·
These are mostly clever/cope driven reframes or strawman arguments. What happened for me: • I will never hire junior programmers, the role is gone (maybe a new kind of junior swe will exist) • I run AI agents all day long to do things • I can and have vibe coded video games, for some definition of vibe coding • I no longer manually write code
Santiago@svpino

A few 2025 predictions that never came to be: • Junior developers were supposed to be fully replaced • Prompt engineers were supposed to be the highest-paid role in tech • Every company was supposed to be running autonomous AI agents • Everyone was supposed to be able to vibe code video games by now • Writing code manually was supposed to be obsolete • Most companies weren't supposed to be hiring engineers anymore None of that has happened. Some of it may never happen at all.

English
20
9
242
23.7K
Ian Gallagher รีทวีตแล้ว
Addy Osmani
Addy Osmani@addyosmani·
This is the most fun moment to be a developer in years. The AI tools are imperfect, the patterns are still emerging, and there's genuine room for experimentation. Roll up your sleeves and build something. The earthquake is further opening up what's possible. The best news about this new layer: traditional engineering skills are more valuable than ever, not less. It helps us minimize shipping slop. Developers who already invested in CI/CD, testing, documentation, and code review are having the most success with AI tools. These "boring" foundations are accelerators. They turn agents from chaos generators into productivity multipliers. The real opportunity is learning to work at a different altitude. Instead of typing syntax, we're reviewing implementations, catching edge cases, and shipping features in hours that used to take days. That's genuinely exciting. Yes, there's a learning curve. Understanding how to provide context, iterate on plans, and review AI-generated code quickly takes practice. But this is learnable through doing - build small tools, review everything, develop intuition through repetition. The multiplier potential is real when you combine AI speed with engineering judgment. We're not replacing coding skills but we're finally able to focus them on the interesting problems while delegating the tedious parts.
Andrej Karpathy@karpathy

I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.

English
82
217
1.8K
363.2K
Ian Gallagher รีทวีตแล้ว
Taelin
Taelin@VictorTaelin·
in a post-AGI world, people will simply get used to the fact that computers can solve cognitive problems quickly, and beat us in any cognitive domain, just like we're used to computers multiplying large numbers quickly now, or kicking our asses in chess and go. software and math will lose all their scarcity. "pls create a MMORPG that is like Zelda: Breath of the Wild but with Pokémon instead, let me fly around the world as a Charizard and dive on the water like a Gyarados. give me an executable that I can send to my friends and we'll all be connected to the same world" you press a button and, 3 minutes later, done I doubt that won't work by 2027 "pls create a blockchain exactly like Bitcoin except it uses quantum resistant signatures like Lamport, and you can deploy smart contracts in a Lean-like language, and contracts are only accepted if they're formally verified to be correct w.r.t the following specs..." you press a button and done, you have a hack-proof chain "in three space dimensions and time, given an initial velocity field, there exists a vector velocity and a scalar pressure field, which are both smooth and globally defined, that solve the Navier–Stokes equations" you press a button, and done, you get a solution math is fundamentally easy, and this will break some ppl's worldviews. currently, math seems mystically hard, like chess once was, because we're are animals that struggle with it, only a few of us are capable of adding fractions, let alone working on the edge, so hard problems stand for a long time unsolved, we praise our geniuses. but it isn't once computers are doing it, that won't be a thing anymore. theorem proving will be as trivial as multiplying large numbers. the "uh duh but godel?" folk will still be confused. and computers will come up with incredibly simple, clean Lean proofs for impossibly hard problems. and mathematicians will yell that it is just some trick to satisfy the checker, that it isn't real math if we can't understand it. but then we'll ask the AI and it will kindly reveal the nature of a surprisingly clever mathematical structure that is so alien for our brains to come up with and life will go on automation will increase 100-fold food and goods will be abundant the price of everything will crash other than things that can't be copied like human time and attention which will be on all time high and humans will still play chess and humans will still write software and humans will still do math and we'll dance, play sports and love like we always did for the love of it software and math will lose their scarcity computers will be truly general solvers and we'll get used to it faster than you think and life will go on
Teknium (e/λ)@Teknium

What are some non obvious but still highly possible post agi scenarios

English
254
324
3.5K
532.9K
John Carmack
John Carmack@ID_AA_Carmack·
Companies selling the dream of autonomous household humanoid robots today would be better off embracing reality and selling “remote operated household help”. Have teams of employees running them 24/7, with the option to reduce their workload as autonomous behaviors become viable. That would be genuinely valuable for some people, although likely still a money sink even with low cost labor. It would be the ethical way to gather the desired training data.
Marques Brownlee@MKBHD

NEW VIDEO - We have to talk about this humanoid robot: youtu.be/j31dmodZ-5c

English
398
145
3.6K
1M
Ian Gallagher
Ian Gallagher@idgallagher·
@ID_AA_Carmack It doesn’t have to be embodied strangers. Who’s making the system for embodied remote family members
English
0
0
1
165