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🎯 Hindley-Milner
Type Inference, Unification, Polymorphism, ML-family
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110896
posts in
584.0
ms
Systematic Parameter Decision in
Approximate
Model
Counting
chipublib.idm.oclc.org
·
2d
✏️
Count-Min Sketch
Tuesday
17 February 2026 |
IML
informatics.ed.ac.uk
·
1d
📱
Edge AI
Fine
Grained
Everything, and what comes after React Server
Components
blog.logrocket.com
·
1d
🚀
Shuttle
Researchers propose a self-distillation fix for ‘
catastrophic
forgetting
’ in LLMs
infoworld.com
·
6h
💬
Prompt Engineering
How I
learnt
to stop
worrying
and love AI
tweag.io
·
17h
💬
Prompt Engineering
Autonomous
Deepmind
AI Generates
Publishable
Math Papers – Next Accelerate Science Research
nextbigfuture.com
·
10h
🧮
SMT Solvers
wordchipper
- my next-gen LLM tokenizer; looking for
LTR
release help
docs.rs
·
2d
·
Discuss:
r/rust
🍱
Nom
Z.ai
GLM-5
: New
SOTA
Open Weights LLM
news.smol.ai
·
1d
🦙
Ollama
A training
principle
for
drifting
models
breno.bearblog.dev
·
5h
🎯
Reinforcement Learning
A
note
on
parameterized
testing
blog.gnoack.org
·
17h
🧬
Mutation Testing
Object-Oriented
Transition Modeling with
Inductive
Logic Programming
arxiv.org
·
2d
⚓
Anchors
Raising the Bar on Humanity’s Last Exam (
HLE
) and
SimpleQA
poetiq.ai
·
9h
🦙
Ollama
Impredicativity
in Linear
Dependent
Type Theory
arxiv.org
·
2d
🔗
Dependent Types
No, dynamic
type
systems are not
inherently
more open
lexi-lambda.github.io
·
2d
·
Discuss:
Hacker News
👻
Phantom Types
The world's most
accurate
AI
predictions
mantic.com
·
19h
💰
TigerBeetle
Lessons
from
Zig
vinniefalco.com
·
16h
·
Discuss:
Hacker News
⚙️
Zig
From 97% Model Accuracy to 74% Clinical Reliability: Building
RSN-NNSL-GATE-001
dev.to
·
36m
·
Discuss:
DEV
🏗️
Cranelift
Beyond the
Prompt
- Why and How to
Fine-tune
Your Own Models
devblogs.microsoft.com
·
23h
💬
Prompt Engineering
From 34% to 96%: The
Porting
Initiative
Delivers
hologram.page
·
17h
·
Discuss:
Hacker News
💼
Thrift
Rust
Traits
Deep Dive: Static vs. Dynamic
Dispatch
dev.to
·
17h
·
Discuss:
DEV
🦀
Rustc Internals
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