technical-analysis

Tag

Cards List
#technical-analysis

Dissecting House of Apple 2 on modern glibc

Lobsters Hottest ↗ · 4d ago Cached

This article dissects the House of Apple 2 exploitation technique on modern glibc versions, providing an interactive GDB walkthrough and analyzing its viability with a sandbox environment.

0 favorites 0 likes
#technical-analysis

Why didn’t Read­Directory­ChangesW provide a way to correlate the two sides of a rename operation?

The Old New Thing (Raymond Chen) ↗ · 2026-09-14 Cached

Raymond Chen explains why the Windows API ReadDirectoryChangesW doesn't provide correlation for rename operations, due to an unwritten assumption that rename events are sequential, which may not hold with concurrent activities.

0 favorites 0 likes
#technical-analysis

Analysing 2048 on a 3×3 board

Lobsters Hottest ↗ · 2026-09-09

An analysis of the 2048 game played on a 3x3 board, exploring algorithms and strategies for the smaller grid.

0 favorites 0 likes
#technical-analysis

The Two MMLU Scores: What a Benchmark Name Does Not Fix (23 minute read)

TLDR AI ↗ · 2026-09-08 Cached

The article examines the issues with MMLU benchmark scores, showing that different model builds can yield incomparable accuracies due to open evaluation variables, and proposes a content-addressed framework for better traceability.

0 favorites 0 likes
#technical-analysis

@tom_doerr: Calculates 80+ technical indicators and runs strategy backtests in Indicator Go. https://github.com/cinar/indicator

X AI KOLs Timeline ↗ · 2026-08-27 Cached

Indicator Go is a Go library that provides 80+ technical analysis indicators, a backtesting framework, and integrates with AI tools via MCP for algorithmic trading.

0 favorites 0 likes
#technical-analysis

If you are wondering why Ornith 1.5 35B A3B with MTP is so slow, this is why

Reddit r/LocalLLaMA ↗ · 2026-08-20 Cached

The Ornith 1.5 35B A3B model's MTP tensors appear to be uninitialized, causing poor speculative decoding performance, and grafting the trained head from Qwen3.6-35B-A3B improves speed by 29%.

0 favorites 0 likes
#technical-analysis

What Is Reasoning

Armin Ronacher ↗ · 2026-08-19 Cached

This article explains how reasoning traces work in AI models, discussing their implementation, concealment, and extraction techniques, with examples from models like GPT-OSS and DeepSeek.

0 favorites 0 likes
#technical-analysis

@LanLance24: Pi has released a blog post detailing their compression mechanism design, with in-depth analysis of how context expands, how compression is triggered, and what costs caching incurs.

X AI KOLs Timeline ↗ · 2026-08-17 Cached

This article provides a detailed introduction to Pi's coding agent's context compression mechanism, analyzing the reasons for context expansion, compression trigger conditions, and the cost of cache invalidation, aiming to optimize AI performance in long conversations.

0 favorites 0 likes
#technical-analysis

How 2004 RuneScape fit a multiplayer RPG into 56k dial-up · jkm.dev

Lobsters Hottest ↗ · 2026-08-15 Cached

The article explains how RuneScape in 2004 optimized data transfer to fit a multiplayer RPG on 56k dial-up modems, detailing network constraints, encryption, and client decompilation.

0 favorites 0 likes
#technical-analysis

@AI_Whisper_X: Reposting Su Jianlin's review of the K3 architecture. In one sentence, K3 = KDA + MLA + Stable LatentMoE + AttnRes. The whole design isn't about showing off; the core is making trade-offs among model performance, computational efficiency, and training stability. Here's a brief explanation: KD…

X AI KOLs Timeline ↗ · 2026-08-04 Cached

Su Jianlin reviews the K3 architecture, focusing on the combination of KDA + MLA + Stable LatentMoE + AttnRes. He explains the design trade-offs, MoE stability improvements, why MLA was kept, and the relationship between DSV4 and MLA.

0 favorites 0 likes
#technical-analysis

Sonic's Physics Engine... Isn't a Physics Engine?

Lobsters Hottest ↗ · 2026-07-30 Cached

A detailed analysis of the implementation of the physics system in Sonic games: it runs efficiently on a 7MHz 68000 CPU based on predefined collision tiles and simple sensor rules, rather than real-time physics calculations. It also introduces design details such as level collision data, sensor system, dual loop implementation, and the author's progress on an Amiga port.

0 favorites 0 likes
#technical-analysis

@_zheergen: Guys! Found another all-in-one Python stock tool — InStock. The myhhub/stock repository covers A-share quantitative analysis quite comprehensively: data scraping, indicator calculation, stock selection, backtesting, and automated trading all in one. Let me highlight the core features: Real-time A-share data scraping + 30…

X AI KOLs Timeline ↗ · 2026-07-20 Cached

Introduces the open-source Python tool InStock (myhhub/stock) for A-share quantitative analysis, supporting data scraping, technical indicators, stock selection, backtesting, automated trading, etc., and can be deployed via Docker.

0 favorites 0 likes
#technical-analysis

AI Trading: Evaluating Large Language Models for Technical Market Analysis

arXiv cs.AI ↗ · 2026-07-20 Cached

This paper evaluates the ability of large language models to perform technical market analysis for trading, using a benchmark approach.

0 favorites 0 likes
#technical-analysis

@ba_niu80557: https://x.com/ba_niu80557/status/2077416407135048045

X AI KOLs Timeline ↗ · 2026-07-15 Cached

This article provides an in-depth analysis of WorkBuddy's six-layer technical architecture, pointing out that it is essentially an Agent operating system rather than a single model, and demonstrates real failures and fixes in Agent engineering through update logs.

0 favorites 0 likes
#technical-analysis

An MCP server that gives trading agents a token-compact market-state brief instead of raw OHLCV

Reddit r/AI_Agents ↗ · 2026-06-24

Introduces patternfetch, an MCP server + REST API that provides a token-compact market-state brief instead of raw OHLCV data for trading agents, reducing token usage and hallucinations.

0 favorites 0 likes
#technical-analysis

@seclink: https://x.com/seclink/status/2067968283492712846

X AI KOLs Following ↗ · 2026-06-19 Cached

This article, based on the sharing of researcher Victoria Lin, systematically reviews the mainstream technical approaches of native multimodal large models (Chameleon, Transfusion, MOT) and their pros and cons. It points out that multimodal AI is still in the early exploration stage, with open problems such as gaps in scaling laws, inconsistency between image understanding and generation encoding, and connection with the physical world.

0 favorites 0 likes
#technical-analysis

Correlated randomness in Slay the Spire 2

Lobsters Hottest ↗ · 2026-06-16 Cached

A blog post reveals that Slay the Spire 2's random number generators are correlated due to linearity in C#'s System.Random, allowing players to predict in-game outcomes. The post details how different RNGs initialized with seed+hash produce exploitable correlations, affecting various game events.

0 favorites 0 likes
#technical-analysis

How ChatGPT Dreaming V3 works (+ every other agent Memory Framework)

Reddit r/AI_Agents ↗ · 2026-06-05

An in-depth analysis of ChatGPT Dreaming V3's memory architecture, explaining how it synthesizes a coherent memory state from raw sources and comparing it to other open-source memory frameworks like mem0, supermemory, and Letta.

0 favorites 0 likes
#technical-analysis

The art and engineering of Silpheed

Lobsters Hottest ↗ · 2026-06-01 Cached

An in-depth technical analysis of the FMV compression and playback techniques used in the Sega CD game Silpheed, including reverse engineering of its format.

0 favorites 0 likes
#technical-analysis

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models

arXiv cs.CL ↗ · 2026-05-18 Cached

This paper introduces FINESSE-Bench, a suite of eight specialized benchmarks with 3,993 questions for hierarchical evaluation of financial competencies in large language models, covering professional certification topics and applied trading tasks.

0 favorites 0 likes
Next →
← Back to home

Submit Feedback