AI Engineering Hub Breakdown: 10 Agentic Projects You Can Fork Today
These 10 projects will teach you agent engineering faster than any tutorial.
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OpenAI Releases GPT-5.5, a Fully Retrained Agentic Model That Scores 82.7% on Terminal-Bench 2.0 and 84.9% on GDPval
OpenAI has released GPT-5.5, its most capable model to date and the first fully retrained base model since GPT-4.5. GPT-5.5 is designed to complete complex, multi-step computer tasks with minimal human direction. Think of it as the difference between an assistant who needs a checklist and one who understands the underlying goal and figures out the steps themselves. The release is rolling out today to Plus, Pro, Business, and Enterprise subscribers across ChatGPT and Codex. What ‘Agentic’ Actually […]
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A Coding Tutorial on OpenMythos on Recurrent-Depth Transformers with Depth Extrapolation, Adaptive Computation, and Mixture-of-Experts Routing
In this tutorial, we explore the implementation of OpenMythos, a theoretical reconstruction of the Claude Mythos architecture that enables deeper reasoning through iterative computation rather than increased parameter size. We build and analyze models using both GQA and MLA attention mechanisms, examine memory efficiency through KV-cache comparisons, and validate stability via the spectral properties of the recurrent update. We then train the model on a structured parity task and investigate how increasing loop depth at inference improves performance […]
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Bret Taylor’s Sierra buys YC-backed AI startup Fragment
Sierra, the AI customer service agent startup founded by technologist Bret Taylor, announced today that it has acquired the YC-backed French startup Fragment.
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Meet Noscroll, an AI bot that does your doomscrolling for you
Noscroll wants to cure doomscrolling with an AI bot that reads the internet for you.
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Is anyone else building something but constantly feeling like they’re “behind”?
I’m working on a startup right now and from the outside it probably looks like I’m doing fine, but internally it feels like I’m always late to something late to trends late to execution and I can’t tell if that feeling is actually useful (like pushing me to move faster) or if it’s just messing with my ability to focus for people who’ve been through this, does that ever go away? or do you just learn how to […]
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OpenAI’s New GPT-5.5 Model Beats Claude Opus 4.7 in Major Benchmarks
After multiple leaks and rumors, GPT-5.5 is finally here. OpenAI has announced the new model, which is codenamed “Spud.” The official announcement came a few hours after the company teased the model via a cryptic post on X. As OpenAI notes in the announcement post, GPT-5.5 is its “smartest and most intuitive to use model yet, and the next step toward a new way of getting work done on a computer.” It’s in fact a major upgrade over […]
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OpenAI releases GPT-5.5, bringing company one step closer to an AI ‘super app’
OpenAI says its latest model offers increased capabilities across a broad variety of categories.
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RFK Jr.’s rejection of germ theory debunked in Senate hearing
In a Congressional hearing on Wednesday, Sen. Bernie Sanders (I-Vt.) directly confronted anti-vaccine Health Secretary Robert F. Kennedy Jr. on his rejection of germ theory—the unquestionable scientific idea that specific pathogenic microbes cause specific diseases. After Kennedy defended his fringe view, Senator Bill Cassidy fact-checked and debunked Kennedy’s denialist arguments in real time. The exchanges mark a rare instance in which Kennedy’s dismissal of germ theory has been raised in such a high-profile public setting, in this case, […]
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Temporal Taskification in Streaming Continual Learning: A Source of Evaluation Instability
Streaming Continual Learning (CL) typically converts a continuous stream into a sequence of discrete tasks through temporal partitioning. We argue that this temporal taskification step is not a neutral preprocessing choice, but a structural component of evaluation: different valid splits of the same stream can induce different CL regimes and therefore different benchmark conclusions. To study this effect, we introduce a taskification-level framework based on plasticity and stability profiles, a profile distance between taskifications, and Boundary-Profile Sensitivity (BPS), […]
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