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AI Canon | Andreessen Horowitz

a16z.com

A curated list of resources we’ve relied on to get smarter about modern AI, including generative AI, LLMs, and transformer models.

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in another mind’s eye
0 inbound links en worldsElectrasystemic faqdetectionnon-technical HFT1215095Alpha CentauriExoplanet Censushot jupitersMHDOhmic heatingradius anomaliesGoughTristan da CunhaCitizen ScienceHAT-P-13QRadial VelocitiesRossiter-McLaughlintransitsTransitsearchGliese 436bGliese 581Gliese 876MMetallicitysub-NeptunesHD 80606SpitzerKepler MissionAPFBlue MoonHAT-P-7MearthValuationsEarthbound Planet Searchsuper EarthsCoRoT-7bHD7924bHARPSmicrolensingTESStwitterETDSystemic ConsoleTrES-2TTVsAlpha CenHD 69830LithiumHistory ChannelWordpressJupiterresonanceorbitsSaturnUpsilon AndromedaeOGLE-TR-56bWASP-12WASP-18Habitable PlanetsKozaiWASP-17AtmospheresHD 209458Systemic Backendk2Tau BooScience FridayKeplerAstrometryDistant FutureVB 10bHD 17156HSTHD 28185EarthCoRoTHAT-P-11
The AI Treadmill (2024)

At the end of 2023, I was transferred to the team working on PMI Infinity, a (then-nascent) AI-powered tool and product for Project Managers, to act as an AI/ML Engineer and provide expertise on the AI/ML aspects of developing a product based on generative models. Coming from more standard data science and machine learning, my impostor syndrome flared and I felt behind the 8-ball. I’d been cursorily following LLMs, but had thus far been generally unimpressed by ChatGPT (though I did find Phind to be quite good for coding-related questions).

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The 2025 AI Engineering Reading List

We picked 50 paper/models/blogs across 10 fields in AI Eng: LLMs, Benchmarks, Prompting, RAG, Agents, CodeGen, Vision, Voice, Diffusion, Finetuning. If you're starting from scratch, start here.

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