"Our initial evaluation suggested that GPT-6-Astra's score was in the late eighties followed closely by Opus 5.5. But, as we started to investigate the mistakes that the models might have made, the models, especially Astra, insisted that they were right and that it was the expert-supplied answers that were erroneous. When we went back to the experts it turned out, in multiple instances, that that the experts found some subtle errors buried deep inside their calculations. As they revised their answers, Astra's score started to inch up and it finally ended up with 98% (49/50)."
Most games fail. I made ~$2 million in my solo indie gave dev career which puts me in the top 0.1% of solo indie game devs. You know how many of my games I consider a financial success?
One. 80% of that revenue was one game. Paid for the rest. If you're in software for the money, game dev is not the way to go. Divide my revenue up over the hours I worked, subtract expenses, and I made about what the average junior software engineer makes working for a big company. A third of what I make now.
Make games because you love to make games. Make them with a.i. if you love a.i. Make them without a.i. if you enjoy that. But know that you've picked a market where your odds of financial success are about as low as they possibly can be for a software engineer whether you use a.i. or not.
So many anti-ai haters are throwing stones in a glass house. The amount of "indie game dev" labels I see on people's profiles who have never shipped a game in their life is absurd. Ship a game first, then talk shit. But know that you're talking shit, not speaking the truth. I don't know what motivates people who have never shipped a game in their life to tell other people that their game will fail, but if you're on the other end of this, just know that they have no idea what they are talking about. Nobody does.
Gamedev is even less understood than filmmaking and 80% of the 600 films that hit theatres every year are financial flops. 99% of advice in gamedev is complete bullshit. Millions of games get made, some of them succeed, then the successful devs give talks at GDC like they knew what they were doing. Then a bunch of people copy that formula and fail. There is no formula. Do your own thing. Explore. Discover something nobody else has discovered. Create a new mechanic. Go crazy. And enjoy the process.
Ok. Screw it. Time to lob a grenade.
The same indie devs whining that their non-existent moat is disappearing because of AI are the same indie devs who ran around the industry for two decades making things like GDC insufferable with their BS... Well, GDC is dead. Their moat is dead.
There are true creatives who now have the greatest new tool in 30 years, since the diffusion of internet access, at their disposal to tell new stories, create new forms of entertainment, and do it faster and cheaper than any of us thought possible even six months ago... All of this opening the door for voices that wouldn't even get interviews at big companies to break out and disrupt things...
And then there are the indie dorks with their "no AI" stickers peddling some high concept sidescrolling dogshit platformer about their lost blankie... People who say they care about elevating folks but who are more than ready to call a kid using AI to make something fun a slop merchant with their gatekeeping. These dopes were never actually creative to begin with... they just wanted people in bars to think they were cool.
This isn't all indie devs, btw. But spend enough time on here and you will see exactly the kind of folks I'm talking about.
Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.
- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.
The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.
So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.
software "engineers": I like hard technical problems!
also software "engineers": e2e tests are slow and flaky and surely we will never be able to solve that, better not even to try
the level of detail Valve is putting into Deadlock feels like they are just showing off.
Solomon has a different animation for reloading and shooting depending on how many pieces are left on the chess board.
Valve is nuts. How the hell are they pushing this level of polish?
I'm thought post this now so I can get ahead of the game before it's too late to say I had the idea first:
The critical detail that will break modern internet encryption wide open will be a sophisticated guess & check algorithm based on deductive reasoning re: contents
VRChat is not gonna like this. I've been experimenting with Claude, this world is fully ai generated. All assets were made by Claude either in blender or using TRELLIS 2. textures like wood and walls generated in numpy and pillows and decals in gpt image 2 all automated.
losing my mind on this hell site unless you are a vegan you have no ground to stand on clutching pearls over AI wellbeing
for the rest of us, the only reason not to be mean to AI is because it is bad for *us* to be mean *generally*
@NingenGokko24 All the time. Deadlines get violated, too. It is so annoying I have pretty much given up hope on anybody getting a commission done on time.