100% local & private transcription engine for macOS. Captures & does speaker diarization. Originally was building as its own app, but can leverage same local models from my original push-to-talk voice transcription product so combined them into one app.
Long-term memory is fundamental for personalized and autonomous agents, yet populating it remains a bottleneck. Existing systems treat memory extraction as a one-shot, passive transcription from context to structured entries, which struggles with noisy dialogue, missing references, and cross-turn dependencies, leading to memory pollution, low-value writes, and inconsistency. In this paper, we introduce the MemReader family for active long-term memory extraction in agent systems: MemReader-0.6B,
Hello HN -As much as I love podcasts, there are some episodes where I want to know about what the show is about before listening. Some shows post transcripts, but this is not the norm. That's why I built Stenobird.Stenobird is a very fast way for your agent to get a hold of any podcast transcript as long as the bare audio file is accessible somewhere on the public internet.I'm using the Parakeet 0.6B V3 model on NVIDIA 4090s and A5000s serverless via Runpod. It's able to tackle ab
JibarOS is an Android 16 fork I’ve been building to explore a shared runtime for on-device inference.It adds: a system service in system_server a native daemon pluggable inference backends a Binder AIDL for capability-based calls across text, audio, and vision The goal is to centralize things that are otherwise handled independently by apps, like model residency, scheduling, fairness, and backend routing.The current interface exposes 12 capabilities including completion, translation, rerank, emb
I built ReadTube so that I can read my YouTube subscriptions.YouTube has lots of high quality content. However, videos can be difficult to consume efficiently, especially those that are long and about series topics (e.g. general relativity, quantum physics). So I created this app to solve this need.There are already many existing YouTube AI transcription websites. However, ReadTube is one step further in that it periodically fetches the updates from the channels I subscribe to so I don't ne
"Garry Tan, CEO of Y Combinator, noted that by the Winter 2025 cohort, approximately 25% of the participating startups reported that 95% or more of their entire application codebase was generated by artificial intelligence". Curious to know what has happened since then. There would be some pros (fast to validate idea, pivot etc), some cons (code slop, poor architecture, etc). Would like to hear stories from those who have lived through this.
I come from a machine learning background - PyTorch code, leaving a training job running overnight, and Jupyter Notebooks. I hadn't touched much frontend before diving deep into start-ups. It was similar for my co-founder Nick, who spent time working on semiconductors.I started building, and noticing patterns in AI outputs. Enough to be able to understand how a hook works, how to manage state and why Typescript is great. But whenever it came to optimising a piece of code, debugging state is
I wonder if there is a benefit of using RHEL for personal/indiviual use for computer vision/machine learning tasks? Thank you.
The TEGNet emulator accelerates thermoelectric generator design, achieving 99% accuracy while cutting computation time to a fraction of conventional methods.
MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance bottlenecks of traditional neural networks in training and evaluation. This innovative quantum algorithm is based on the classic feedforward and backpropagation algorithms, leveraging the powerful computational capabilities of quantum computing to greatly enhance the efficiency of network training and
These errors limit the accuracy of the final system. To overcome this limit, the researchers designed a "photonic multisynapse neural network" that processes information using light in a more direct ...
A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...
Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By combining a specially designed neural network with precise 3D tracking of particles in a dusty plasma—a strange “fourth state of matter” found from space to wildfires—the team revealed hidden patterns in how particles interact. Their model captured complex, one-way (non-reciprocal) forces with over 99% accuracy and even overturned long-held assumptions about how these forces behave.
Researchers have created a 3D programmable device merging living neurons with flexible electronics, achieving high-efficiency pattern recognition.
Google may have just come for Otter.ai, one of my most favored AI transcription services, in the same way it came for GPS ...
In May, the Book Review Book Club will read and discuss Lerner’s new novel, a cerebral exploration of technology, family, ...
Artificial intelligence is shaping industries across the board — stealing jobs, creating online shortcuts — and generating photos of your dog as a human. Some believe trade industries are generally safe from meddling by AI, but what happens in spaces where trade and artistry come together?
When it comes to AI, Alphabet (NASDAQ: GOOGL) (NASDAQ: GOOG) is, quite frankly, the whole package. It has the hardware, the ...
Tens of thousands attended the National Association of Broadcasters conference in April, which highlighted artificial ...
The threat of artificial-intelligence tools has stirred fears about the future of software and what might happen to loans in ...