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defai-digital/ax-engine: Apple Silicon LLM runtime supporting Gemma 4 and Qwen 3.6 MTP
modes
🤖
ai
Content type:
Code
github.com
·
17h
17 hours ago
·
Hacker News
Actions for defai-digital/ax-engine: Apple Silicon LLM runtime supporting Gemma 4 and Qwen 3.6 MTP modes
Build a Medical Report Analyzer on Dedicated Inference with Python
🤖
ai
digitalocean.com
·
6d
6 days ago
Actions for Build a Medical Report Analyzer on Dedicated Inference with Python
The Surprising Truth About AI-Native Semantic Layers
💬
NLP
Content type:
Blog
motherduck.com
·
2d
2 days ago
Actions for The Surprising Truth About AI-Native Semantic Layers
#068 - Apple runs Siri on Google's Gemini, OpenAI files a secret IPO at $852B, Xiaomi clocks 1,000 tps
🤖
Machine Learning
indiehacker.news
·
1d
1 day ago
Actions for #068 - Apple runs Siri on Google's Gemini, OpenAI files a secret IPO at $852B, Xiaomi clocks 1,000 tps
Persona Atlas: Mapping How Famous Minds Think
🤖
ai
Content type:
Blog
huggingface.co
·
4d
4 days ago
Actions for Persona Atlas: Mapping How Famous Minds Think
Using local LLMs for agentic coding
🤖
AI
Content type:
Blog
blog.alexewerlof.com
·
6d
6 days ago
Actions for Using local LLMs for agentic coding
I Built a Gemma 4 Course in 10 Minutes Using AI — Here's Exactly How
🤖
ai
Content type:
News
Content type:
Blog
ilite.substack.com
·
4d
4 days ago
·
Substack
Actions for I Built a Gemma 4 Course in 10 Minutes Using AI — Here's Exactly How
nex-agi/Nex-N2-mini •
Huggingface
🤖
ai
huggingface.co
·
6d
6 days ago
·
r/LocalLLaMA
Actions for nex-agi/Nex-N2-mini • Huggingface
Qwen3.6 + MTP: Calculated context size is smaller when I use `--spec-draft-type-* q4_0`. is this normal? · ggml-org llama.cpp · Discussion #24102
🧠
LLMs
Content type:
Discussion
Content type:
Code
github.com
·
5d
5 days ago
·
r/LocalLLaMA
Actions for Qwen3.6 + MTP: Calculated context size is smaller when I use `--spec-draft-type-* q4_0`. is this normal? · ggml-org llama.cpp · Discussion #24102
I open-sourced my UFC prediction
model
, code, and database after 5 years of work
🤖
ai
mcinerney.ai
·
5d
5 days ago
·
Hacker News
Actions for I open-sourced my UFC prediction model, code, and database after 5 years of work
FUTO Swipe Relative error rate improvement vs. Gboard
💬
NLP
swipe.futo.tech
·
6d
6 days ago
·
Hacker News
Actions for FUTO Swipe Relative error rate improvement vs. Gboard
hanxiao/omni-macos: Native macOS semantic search over your local files - text, images, audio, video in one vector
space
, on-device on Apple silicon.
💬
NLP
Content type:
Code
github.com
·
2d
2 days ago
·
Hacker News
Actions for hanxiao/omni-macos: Native macOS semantic search over your local files - text, images, audio, video in one vector space, on-device on Apple silicon.
Florian Brand, Prime Intellect research engineer, adopts Gemma 4 E4B 6-bit quantized as his primary local Mac LLM
🧠
LLMs
Content type:
News
digg.com
·
3d
3 days ago
·
Hacker News
Actions for Florian Brand, Prime Intellect research engineer, adopts Gemma 4 E4B 6-bit quantized as his primary local Mac LLM
StereoTales: Multilingual Open-Ended Stereotype Discovery in LLMs
🧠
LLMs
Content type:
Blog
research.giskard.ai
·
6d
6 days ago
·
Hacker News
Actions for StereoTales: Multilingual Open-Ended Stereotype Discovery in LLMs
Bounding-box composition control in Ideogram 4 — what works, what breaks
💬
NLP
Content type:
Code
github.com
·
3d
3 days ago
·
r/StableDiffusion
Actions for Bounding-box composition control in Ideogram 4 — what works, what breaks
Why haven't MCP Apps gone viral the way MCP and Skills did?
💬
NLP
modelcontextprotocol.io
·
5d
5 days ago
·
r/mcp
Actions for Why haven't MCP Apps gone viral the way MCP and Skills did?
RightNow-AI/AutoMegaKernel: An agent harness that compiles a
model
into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode.
🤖
ai
Content type:
Code
github.com
·
2d
2 days ago
·
Hacker News
Actions for RightNow-AI/AutoMegaKernel: An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode.
Mechanistic Interpretability: The Key to Trusting Agentic AI
🤖
AI
Content type:
Discussion
bradenkelley.com
·
4d
4 days ago
Actions for Mechanistic Interpretability: The Key to Trusting Agentic AI
Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search
🧠
LLMs
tenureai.dev
·
5d
5 days ago
·
Hacker News
,
Hacker News
Actions for Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search
tenurehq/precisionMemBench: Precision-aware retrieval benchmark for LLM memory systems.
💬
NLP
Content type:
Code
github.com
·
5d
5 days ago
·
Hacker News
Actions for tenurehq/precisionMemBench: Precision-aware retrieval benchmark for LLM memory systems.
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