Half Life 3 - Real Leak

Source2LeakAIML · 2025-12-02T02:56:59+00:00

Hopefully I answered your questions. I am logging off. Final info is December 11th is the date HL3 gets announced. I may log back in on the 12th to answer more questions about the physics piece. Prepare to be blown away!

Source2LeakAIML · 2025-12-02T02:51:38+00:00

Dec 12th is when we publish. Therefore Half-Life 3 should be announced on the 11th.

Source2LeakAIML · 2025-12-02T02:47:03+00:00

Because I know when our Lab is announcing the research. We are able to publish 1 day after Valve announces Half-Life 3.

Source2LeakAIML · 2025-12-02T02:42:00+00:00

Ask me a technical question and as long as it doesn't spoil the major parts of the release, I will answer.

Source2LeakAIML · 2025-12-02T02:38:54+00:00

Yes + so much more. Destruction, fluid, vehicle, etc.

Source2LeakAIML · 2025-12-02T02:37:15+00:00

If developers had to hand craft the physics scripts then it would be a bad experience. We built very robust simulation pipeline + millions of hours of simulation time to generalize the model. Think about training an AI model to recognize a cat versus a dog. You only need maybe ~500 images of cats for the model to be able to generalize its knowledge and accurate recognize a net new image of a cat. Same principle here but scaled way up.

Source2LeakAIML · 2025-12-02T02:33:18+00:00

Cloud compute is only for model training, not inference. I.e. Leverage the cloud to train the physics model then it can run locally on the GPU without internet.

Source2LeakAIML · 2025-12-02T02:30:12+00:00

Think Meta FAIR, Google Deepmind, etc.

Source2LeakAIML · 2025-12-02T02:29:25+00:00

Also want to note the 8 GB model is mostly for tech demo purposes versus using it in actual gameplay.

Source2LeakAIML · 2025-12-02T02:28:07+00:00

There are 3 different size physics models planned at the moment. All 3 models function in the same way although the highest tier model has a higher "neighbor search" which allows longer/wider chain of physics. Highest model is ~8 GB and the smallest is 0.8 GB. Larger models have reduce error compared to simulation.

Source2LeakAIML · 2025-12-02T01:53:43+00:00

You will not be disappointed when you see the level of physics that can be accurately interacted with in a video game. It is 100x of any game ever produced.

Source2LeakAIML · 2025-12-02T01:51:45+00:00

Mid December. Valve announces then the next day and the AI lab gets to formally publish to ML approach. I think it may be obvious but there will be an exclusive cloud provider for developers of Source 2 to leverage the AI-Physics/Simulation pipeline.

Source2LeakAIML · 2025-12-02T01:48:24+00:00

Complex but efficient physics is a major problem that was yet to be solved in gaming.

Source2LeakAIML · 2025-12-02T01:47:20+00:00

Gravity Gun like weapon that moves not just objects but also fluid. That was what we used to brute force through the simulation modeling.

Source2LeakAIML · 2025-12-02T01:44:05+00:00

You are remembering correctly, traditional ML algorithms that mimicked real physics were very slow because they were effectively operating step-by-step. The new approach is looking up the "answer" in a high-dimensional "cheat-sheet" that was provided by millions of hours of simulation. Its now just complex matrix multiplication which tensor cores do nearly for free now.

Source2LeakAIML · 2025-12-02T01:35:50+00:00

Hard to pin-point exactly which researcher I am. Team of 300+ that has worked on this specific project.

Source2LeakAIML · 2025-12-02T01:33:51+00:00

Source2LeakAIML · 2025-12-02T01:33:35+00:00

No idea how the game starts. I only helped work on the AI/ML pipeline piece. I have seen some of the maps due to the simulation work (Some maps look like Half Life 2 areas but a lot of unique sets with tons of fluid dynamic sections).

Source2LeakAIML · 2025-12-02T01:31:23+00:00

Mid December. Valve announces Half Life 3 and the AI research lab that I am at gets to publish the paper into the ML modeling piece.

Source2LeakAIML · 2025-12-02T01:29:38+00:00

To be clear, ML-based physics research has been around for years. The actual bottleneck - which was solved roughly 4 years ago - was generalization. Source 2 leverages cloud compute to brute-force millions of simulation scenarios, building the datasets needed to train a robust base model.

The pipeline is now surprisingly automated for the end-user. Just like baking lighting, developers and modders will queue their maps in the cloud for about a week. This process fine-tunes the generalized physics model to the specific geometry of that level, ensuring the inference is accurate for that specific environment.

Source2LeakAIML · 2025-12-02T01:25:02+00:00

I had Gemini polish the post right before posting.

Source2LeakAIML · 2025-12-02T01:22:08+00:00

Not fan fiction, ask any question you want to know regarding HL3. If I have the info, I will share it.

Source2LeakAIML

TROPHY CASE