corpus.blog
41554 blogs · [ { "id": "01a08721-9d23-70f8-b86e-58f2eb7756d0", "title": "Pushing Back Against Cognitive Surrender", "url": "https://aimlbling-about.ninerealmlabs.com/blog/cognitive-surrender/", "published_at": "2026-05-25T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2ebebc5d4", "title": "Code Review Personalities", "url": "https://aimlbling-about.ninerealmlabs.com/blog/code-review-personalities/", "published_at": "2026-04-20T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2ec45632c", "title": "How I Use AI (Apr, 2026)", "url": "https://aimlbling-about.ninerealmlabs.com/blog/ai-stack-apr-2026/", "published_at": "2026-04-05T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2ed289946", "title": "Stop Sloppypasta", "url": "https://aimlbling-about.ninerealmlabs.com/blog/stop-sloppypasta/", "published_at": "2026-03-14T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2ede12861", "title": "Karma Engineering", "url": "https://aimlbling-about.ninerealmlabs.com/blog/karma-engineering/", "published_at": "2026-02-15T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2eeb0116d", "title": "Predicting LLM Parameters Using Benchmarks", "url": "https://aimlbling-about.ninerealmlabs.com/blog/benchmarks-predict-model-size/", "published_at": "2026-01-19T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2eed0e637", "title": "Predictions 2026", "url": "https://aimlbling-about.ninerealmlabs.com/blog/predictions-2026/", "published_at": "2026-01-03T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2eee45d04", "title": "Year in Review - 2025", "url": "https://aimlbling-about.ninerealmlabs.com/blog/year-in-review---2025/", "published_at": "2025-12-23T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2eef3a8eb", "title": "On the Viability of Fine-Tuning SLMs", "url": "https://aimlbling-about.ninerealmlabs.com/blog/on-the-viability-of-fine-tuning-slms/", "published_at": "2025-11-07T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2ef4724fb", "title": "Fractal Complexity", "url": "https://aimlbling-about.ninerealmlabs.com/blog/fractal-complexity/", "published_at": "2025-09-29T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2efaff5ea", "title": "Reinforcement Learning", "url": "https://aimlbling-about.ninerealmlabs.com/blog/reinforcement-learning/", "published_at": "2025-08-09T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f09b2da1", "title": "Sycophancy, Planning, and the Pepsi Challenge", "url": "https://aimlbling-about.ninerealmlabs.com/blog/sycophancy-planning-and-the-pepsi-challenge/", "published_at": "2025-07-07T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f192452e", "title": "Making Bets on AI", "url": "https://aimlbling-about.ninerealmlabs.com/blog/making-bets-on-ai/", "published_at": "2025-06-08T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f1e9af98", "title": "New GPU!", "url": "https://aimlbling-about.ninerealmlabs.com/blog/gpu-testing/", "published_at": "2025-05-25T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f22111d1", "title": "The AI Treadmill (redux)", "url": "https://aimlbling-about.ninerealmlabs.com/blog/the-ai-treadmill-part-2/", "published_at": "2025-05-03T16:02:14+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f2526d99", "title": "MAIM Is MADness", "url": "https://aimlbling-about.ninerealmlabs.com/blog/maim-is-madness/", "published_at": "2025-03-09T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f255c8ae", "title": "The Pessimism of AI Optimism (or, Reflections on The Bitter Lesson)", "url": "https://aimlbling-about.ninerealmlabs.com/blog/the-bitter-lesson/", "published_at": "2025-02-16T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f2983ddd", "title": "When the Babel Fish Dies: Replacing Legacy Language Detection", "url": "https://aimlbling-about.ninerealmlabs.com/blog/language-identification/", "published_at": "2025-02-01T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f35cbc13", "title": "Managing Project Dependencies With `uv`", "url": "https://aimlbling-about.ninerealmlabs.com/blog/managing-project-dependencies-with-uv/", "published_at": "2025-01-12T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f40fe91a", "title": "Predictions 2025", "url": "https://aimlbling-about.ninerealmlabs.com/blog/predictions-2025/", "published_at": "2025-01-01T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f50bf176", "title": "The AI Treadmill (2024)", "url": "https://aimlbling-about.ninerealmlabs.com/blog/the-ai-treadmill-2024/", "published_at": "2024-12-31T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f57759cf", "title": "For Some Definition of 'Open'", "url": "https://aimlbling-about.ninerealmlabs.com/blog/for-some-definition-of-open/", "published_at": "2024-12-05T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f6096176", "title": "RAGAS to Riches (part 3)", "url": "https://aimlbling-about.ninerealmlabs.com/blog/ragas-to-riches-3/", "published_at": "2024-11-11T05:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f6a01184", "title": "RAGAS to Riches (part 2)", "url": "https://aimlbling-about.ninerealmlabs.com/blog/ragas-to-riches-2/", "published_at": "2024-11-02T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f7852ae4", "title": "RAGAS to Riches (part 1)", "url": "https://aimlbling-about.ninerealmlabs.com/blog/ragas-to-riches-1/", "published_at": "2024-10-19T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f83592b0", "title": "Kernel Panic: Frustrations with Semantic Kernel", "url": "https://aimlbling-about.ninerealmlabs.com/blog/semantic-kernel-panic/", "published_at": "2024-09-21T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f9160154", "title": "Model Collapse", "url": "https://aimlbling-about.ninerealmlabs.com/blog/model-collapse/", "published_at": "2024-08-25T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2f999bfc4", "title": "The plagiarism problem", "url": "https://aimlbling-about.ninerealmlabs.com/blog/the-plagiarism-problem/", "published_at": "2024-08-10T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2fa085799", "title": "How Susceptible Are LLMs to Typos? (part 4)", "url": "https://aimlbling-about.ninerealmlabs.com/blog/typos-part-4/", "published_at": "2024-07-08T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2fa1b2827", "title": "How Susceptible Are LLMs to Typos? (part 3)", "url": "https://aimlbling-about.ninerealmlabs.com/blog/typos-part-3/", "published_at": "2024-07-03T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2fadeeeef", "title": "How Susceptible Are LLMs to Typos? (part 2)", "url": "https://aimlbling-about.ninerealmlabs.com/blog/typos-part-2/", "published_at": "2024-06-27T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2fb378f69", "title": "How Susceptible Are LLMs to Typos? (part 1)", "url": "https://aimlbling-about.ninerealmlabs.com/blog/typos-part-1/", "published_at": "2024-06-14T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2fb893a25", "title": "AI Is the New Hotness 🌎🔥", "url": "https://aimlbling-about.ninerealmlabs.com/blog/ai-is-the-new-hotness/", "published_at": "2024-05-20T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2fc38a0c5", "title": "Cohort of Models", "url": "https://aimlbling-about.ninerealmlabs.com/blog/llama3-cohort/", "published_at": "2024-05-11T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2fc48c0d7", "title": "No Mo Robo", "url": "https://aimlbling-about.ninerealmlabs.com/blog/no-mo-robo/", "published_at": "2024-05-03T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2fc527955", "title": "The Compounding Error of Generative Models", "url": "https://aimlbling-about.ninerealmlabs.com/blog/the-compounding-error-of-generative-models/", "published_at": "2024-04-30T04:00:00+00:00" }, { "id": "01a08721-9d23-70f8-b86e-58f2fc6bca19", "title": "Hello World!", "url": "https://aimlbling-about.ninerealmlabs.com/blog/hello-world/", "published_at": "2024-04-22T04:00:00+00:00" } ] posts Claim your blog
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aimlbling-about.ninerealmlabs.com

aimlbling-about.ninerealmlabs.com

2026

Pushing Back Against Cognitive Surrenderoriginal ↗
25 May 2026
Code Review Personalitiesoriginal ↗
20 Apr 2026
How I Use AI (Apr, 2026)original ↗
5 Apr 2026
Stop Sloppypastaoriginal ↗
14 Mar 2026
Karma Engineeringoriginal ↗
15 Feb 2026
Predicting LLM Parameters Using Benchmarksoriginal ↗
19 Jan 2026
Predictions 2026original ↗
3 Jan 2026

2025

Year in Review - 2025original ↗
23 Dec 2025
On the Viability of Fine-Tuning SLMsoriginal ↗
7 Nov 2025
Fractal Complexityoriginal ↗
29 Sept 2025
Reinforcement Learningoriginal ↗
9 Aug 2025
Sycophancy, Planning, and the Pepsi Challengeoriginal ↗
7 Jul 2025
Making Bets on AIoriginal ↗
8 Jun 2025
New GPU!original ↗
25 May 2025
The AI Treadmill (redux)original ↗
3 May 2025
MAIM Is MADnessoriginal ↗
9 Mar 2025
The Pessimism of AI Optimism (or, Reflections on The Bitter Lesson)original ↗
16 Feb 2025
When the Babel Fish Dies: Replacing Legacy Language Detectionoriginal ↗
1 Feb 2025
Managing Project Dependencies With `uv`original ↗
12 Jan 2025
Predictions 2025original ↗
1 Jan 2025

2024

The AI Treadmill (2024)original ↗
31 Dec 2024
For Some Definition of 'Open'original ↗
5 Dec 2024
RAGAS to Riches (part 3)original ↗
11 Nov 2024
RAGAS to Riches (part 2)original ↗
2 Nov 2024
RAGAS to Riches (part 1)original ↗
19 Oct 2024
Kernel Panic: Frustrations with Semantic Kerneloriginal ↗
21 Sept 2024
Model Collapseoriginal ↗
25 Aug 2024
The plagiarism problemoriginal ↗
10 Aug 2024
How Susceptible Are LLMs to Typos? (part 4)original ↗
8 Jul 2024
How Susceptible Are LLMs to Typos? (part 3)original ↗
3 Jul 2024
How Susceptible Are LLMs to Typos? (part 2)original ↗
27 Jun 2024
How Susceptible Are LLMs to Typos? (part 1)original ↗
14 Jun 2024
AI Is the New Hotness 🌎🔥original ↗
20 May 2024
Cohort of Modelsoriginal ↗
11 May 2024
No Mo Robooriginal ↗
3 May 2024
The Compounding Error of Generative Modelsoriginal ↗
30 Apr 2024
Hello World!original ↗
22 Apr 2024