Nicolay Gerold

In an Agentic UX, an AI agent pulls weight across 3 categories: cognitive, creative, and logistical.

• Cognitive weight — the built-in agent pulls analysis and decision-making weight


• Creative weight — the built-in agent takes on visualization and media creation weight


• Logistical weight — the built-in agent takes tasks on operational and workflow

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Advice I’d give my younger self: Don’t focus on energy output (working too hard). Focus on energy production (recharging activities). If you produce more energy than you burn, it’s impossible to burn out.

4. The person who is well rested might be able to work 16-hour days 6 days per week. The person who never works but scrolls TikTok all day can... See more

Luminal is a deep learning library that uses composable compilers to achieve high performance.

Current ML libraries tend to be large and complex because they try to map high level operations directly on to low level handwritten kernels, and focus on eager execution. Libraries like PyTorch contain hundreds of thousands of lines of code, making it... See more

Here's my read on the situation:

* The TAM is massive, still so many businesses trying to figure out AI

* If you do deployments you’ll need to spend a of time hand holding clients through scoping projects (not unlike other dev works) since the material is so new

* Lot’s of opportunity in education

* The hard part isn’t the expertise, it’s distribution... See more

When the CPython process starts up, it performs runtime initialization. The runtime contains critical data required for the operation of the rest of the virtual machine.

Next, the Python code gets parsed and compiled into bytecode instructions, this is called tier-1 bytecode. This compiled bytecode is interpreted by the tier-1 bytecode interpreter.

T... See more

notistack: notistack is a library that makes it easy to display snackbar notifications. It’s built on top of Material-UI and offers various customization and configuration options.

• GitHub stars: 3.6k


• Features:
  
  
  • Supports snackbar notifications.
  
  
  • Can render toasts outside of the React tree.
  
  
  • Supports custom toast renderers.


• GitHub link: GitHub –

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Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration

1 2 Chenyang Lyu, 3 Minghao Wu, 1 * Longyue Wang, 1 Xinting Huang,

1 Bingshuai Liu, 1 Zefeng Du, 1 Shuming Shi, 1 Zhaopeng Tu

1 Tencent AI Lab, 2 Dublin City University, 3 Monash University

* Longyue Wang is the corresponding author: vinnlywang@tencent.com

Macaw... See more

The number one determinant of dopamine release is novelty.

“ The agent runs in a loop of Thought, Action, Observation, Thought, ... The Thought and Action (with the Action Input to the action) are the parts which are generated by an LLM The Observation is generated by using a tool (for example the print outputs of Python or the text result of a Google search)”

Really neat to see the parallels to OODA loops,... See more