Custom AI Inference Chips Are Eating the GPU Market
Discover why frontier AI labs are shifting to custom AI inference chips to solve memory bandwidth bottlenecks, reduce latency, and challenge GPU dominance.
PastAGI
Practical AI guides, honest tool reviews, engineering deep dives, real-world use cases, and sharp analysis that cuts through the hype.
Featured
View all
The End of AI Reasoning Transparency: When Chain of Thought Becomes a Summary
AI reasoning transparency is failing. Learn why models like Claude summarize their chain of thought, why raw logic is hidden, and how to evaluate black box AI agents.
Why AI Agents Leak Sensitive Data (and How to Stop Them)
Discover how autonomous AI agents leak sensitive enterprise data through reasoning traces. Learn practical architectures and sanitization frameworks to prevent exposure.
Recent
OpenAI Navier-Stokes, a Reported $40M Lesson in Verification
The OpenAI Navier-Stokes run reportedly burned $40M and 130 billion tokens yet produced no verified proof. Verification, not generation, now binds.
Netflix MAPS Teardown and What Actually Transfers
Netflix MAPS teardown: how multimodal asset personalization ranks artwork and previews per member, what results it drives, and which patterns transfer.
Meta's AI Second Brain Runs on a Knowledge Supply Chain
Meta's AI second brain shows why agents live or die on the knowledge supply chain, not the retrieval stack, and what small teams can copy first.
AI Text Watermarking in Python, Three Families Tested
Hands-on AI text watermarking in Python: how the three families work, what survives copy-paste, edits, and paraphrasing, and when to watermark or detect.
KV Cache Math for Million Token Agent Runs
KV cache math explains why every decoded token reads the whole context, and what eviction and quantization can cut from million-token agent bills today.
GPT-6 Astra Pricing at $6 an Hour, Audited
GPT-6 Astra pricing pitches an AI engineer under $6 an hour. We audit the real per-task costs, hidden token overhead, and what saturated benchmarks skip.
Prompt Dependency Graphs That Shrink Your Retest Set
Build a prompt dependency graph to compute the blast radius of any prompt change and rerun only the evals your multi-prompt LLM system needs.
TontaubeV1 Review With Serving Math You Can Run
This TontaubeV1 review audits the 2.9B character-level TTS model with serving math builders can verify, covering VRAM, latency, and long-form narration.
ChatGPT DSA Designation Sweeps In Every AI Search Engine
The ChatGPT DSA designation reportedly makes it the EU's first AI-native very large online search engine. Here is the test deciding which AI tools follow.
oMLX Review, Auditing the 90s to 5s Agent Claim
This oMLX review audits the 90s to 5s agent latency claim, shows where wait time goes on Apple Silicon, and gives you a benchmark to run on your Mac.
NLP vs LLM vs RAG, Routed by Task Shape and Cost
NLP vs LLM vs RAG is a routing decision set by task shape. Compare the cost math, failure modes, and an LLM-fallback pattern before picking a model.
NVIDIA Hugging Face Acquisition Ends the Neutral Hub
The NVIDIA Hugging Face acquisition turns the Hub into vendor infrastructure. Here is how builders mirror weights, pin revisions, and cut lock-in.