AI LA

AI LA's first-ever Hack Day brought together a group of builders who wanted to get their hands directly on the technology and see what’s actually possible when you work with local LLMs at a low level. The event sold out fast, and the energy in the room made it clear how much appetite there is for serious, hands-on experimentation in Los Angeles. Tejas Rajurkar from AMGI Studios opened the day with an intro workshop on llama.cpp that focused on the practical foundations — how to get started and what it takes to run modern models entirely on your own hardware. It set the stage for the rest of the day. In the afternoon, teams broke off to prototype local-first tools and workflows that ran entirely offline. Even with only a few hours to build, several groups produced demos that were both technically impressive and immediately relevant to where the field is headed. The takeaway was clear: developers want deeper access to the underlying systems that power modern AI, and on-device inference is quickly becoming part of that core toolkit. Thanks to everyone who joined us, and to AMGI Studios for their generous support to help bring this event to life. This was the first in a series of Hack Days we’re rolling out – and based on yesterday’s momentum, it won’t be the last. Stay tuned for our next Hack Day in Q1 2026! Filip Graniczny Tejas Rajurkar Jonathan F.

AI LA's first-ever Hack Day brought together a group of builders who wanted to get their hands directly on the technology and see what’s actually possible when you work with local LLMs at a low level. The event sold out fast, and the energy in the room made it clear how much appetite there is for serious, hands-on experimentation in Los Angeles. Tejas Rajurkar from AMGI Studios opened the day with an intro workshop on llama.cpp that focused on the practical foundations — how to get started and what it takes to run modern models entirely on your own hardware. It set the stage for the rest of the day. In the afternoon, teams broke off to prototype local-first tools and workflows that ran entirely offline. Even with only a few hours to build, several groups produced demos that were both technically impressive and immediately relevant to where the field is headed. The takeaway was clear: developers want deeper access to the underlying systems that power modern AI, and on-device inference is quickly becoming part of that core toolkit. Thanks to everyone who joined us, and to AMGI Studios for their generous support to help bring this event to life. This was the first in a series of Hack Days we’re rolling out – and based on yesterday’s momentum, it won’t be the last. Stay tuned for our next Hack Day in Q1 2026! Filip Graniczny Tejas Rajurkar Jonathan F.

AI LA's first-ever Hack Day brought together a group of builders who wanted to get their hands directly on the technology and see what’s actually possible when you work with local LLMs at a low level. The event sold out fast, and the energy in the room made it clear how much appetite there is for serious, hands-on experimentation in Los Angeles. Tejas Rajurkar from AMGI Studios opened the day with an intro workshop on llama.cpp that focused on the practical foundations — how to get started and what it takes to run modern models entirely on your own hardware. It set the stage for the rest of the day. In the afternoon, teams broke off to prototype local-first tools and workflows that ran entirely offline. Even with only a few hours to build, several groups produced demos that were both technically impressive and immediately relevant to where the field is headed. The takeaway was clear: developers want deeper access to the underlying systems that power modern AI, and on-device inference is quickly becoming part of that core toolkit. Thanks to everyone who joined us, and to AMGI Studios for their generous support to help bring this event to life. This was the first in a series of Hack Days we’re rolling out – and based on yesterday’s momentum, it won’t be the last. Stay tuned for our next Hack Day in Q1 2026! Filip Graniczny Tejas Rajurkar Jonathan F.

AI LA's first-ever Hack Day brought together a group of builders who wanted to get their hands directly on the technology and see what’s actually possible when you work with local LLMs at a low level. The event sold out fast, and the energy in the room made it clear how much appetite there is for serious, hands-on experimentation in Los Angeles. Tejas Rajurkar from AMGI Studios opened the day with an intro workshop on llama.cpp that focused on the practical foundations — how to get started and what it takes to run modern models entirely on your own hardware. It set the stage for the rest of the day. In the afternoon, teams broke off to prototype local-first tools and workflows that ran entirely offline. Even with only a few hours to build, several groups produced demos that were both technically impressive and immediately relevant to where the field is headed. The takeaway was clear: developers want deeper access to the underlying systems that power modern AI, and on-device inference is quickly becoming part of that core toolkit. Thanks to everyone who joined us, and to AMGI Studios for their generous support to help bring this event to life. This was the first in a series of Hack Days we’re rolling out – and based on yesterday’s momentum, it won’t be the last. Stay tuned for our next Hack Day in Q1 2026! Filip Graniczny Tejas Rajurkar Jonathan F.

AI LA's first-ever Hack Day brought together a group of builders who wanted to get their hands directly on the technology and see what’s actually possible when you work with local LLMs at a low level. The event sold out fast, and the energy in the room made it clear how much appetite there is for serious, hands-on experimentation in Los Angeles. Tejas Rajurkar from AMGI Studios opened the day with an intro workshop on llama.cpp that focused on the practical foundations — how to get started and what it takes to run modern models entirely on your own hardware. It set the stage for the rest of the day. In the afternoon, teams broke off to prototype local-first tools and workflows that ran entirely offline. Even with only a few hours to build, several groups produced demos that were both technically impressive and immediately relevant to where the field is headed. The takeaway was clear: developers want deeper access to the underlying systems that power modern AI, and on-device inference is quickly becoming part of that core toolkit. Thanks to everyone who joined us, and to AMGI Studios for their generous support to help bring this event to life. This was the first in a series of Hack Days we’re rolling out – and based on yesterday’s momentum, it won’t be the last. Stay tuned for our next Hack Day in Q1 2026! Filip Graniczny Tejas Rajurkar Jonathan F.