www.transcriptionists.com

Show HN: I built a local-first macOS transcriber

Hi HN, I'm Alex. I built inkoscribe because I needed a transcription tool I could actually trust with sensitive meetings, interviews, and 1:1s — without uploading audio to anyone's cloud.It's a macOS CLI that does real-time speech-to-text fully on-device: brew tap uohzxela/inkoscribe brew install inkoscribe inkoscribe -s sys # captures system audio (meetings, calls, videos) inkoscribe -s mic # captures your microphone Requires macOS 13+ on Apple Silicon (M1/M

Show HN: A botless meeting recorder and summarizer that runs in the browser

I built a browser app for recording calls and turning them into transcripts/summaries without inviting a meeting bot.The current version is BYOK: you provide an OpenAI API key, stored locally in your browser. Recordings/projects stay in browser storage; selected audio/transcript text is sent to OpenAI only when you run transcription/summary.I am testing whether the wedge is real: no bot in the meeting, no SaaS workspace for recordings, summaries/exports afterward.I would

Can one run AI on source code with the prompt "Find below-avg swear rate files"?

Because “code with more swear words is higher quality”, meaning lots of humans looked at that code and the more humans look at that code, the more swear words could be found on average.If this is true, then why not put it to the test by running an A.I. on open source code and giving it the prompt of “Find below-avg swear rate files” (This prompt was shortened to save on tokens.)Also, someone could make a program add patches that would distribute random swear words into open source code with the

Show HN: I built a powerful RAG and knowledge graph agent that runs locally

Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder.Why was claw-coder created? Answer: To solve the problem of privacy and security. When you use an agent that is configured with a cloud model like codex, cursor, Claude etc. You are not just getting the agent but you are giving up your codebase to train an llm which is a bit concerning and this reduces trust in the technology

Launch HN: Superset (YC P26) – IDE for the agents era

Hey HN, we’re Avi, Kiet, and Satya. We’re building Superset (https://github.com/superset-sh/superset), an open-source agentic IDE for running coding agents like Claude Code, Codex, OpenCode etc in parallel.Demo: https://www.youtube.com/watch?v=YWDHn7gUwfgTry it: https://superset.sh/We’re three engineers who’ve built and maintained large codebases, and we kept wanting to work on more than one thing at a time. Once CLI coding agents got good enough

Show HN: I built a RAG and knowledge graph agent that runs locally

Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder. Why was claw-coder created? Answer: To solve the problem of privacy and security. When you use an agent that is configured with a cloud model like codex, cursor, Claude etc. You are not just getting the agent but you are giving up your codebase to train an llm which is a bit concerning and this reduces trust in the technology

Caught by the whirlwinds: Russian neural network will make ultra-accurate forecasts of storms in the Arctic

Scientists have created a neural network that allows for more accurate prediction of Arctic storms. It identifies errors in ...

Multisynapse optical network outperforms digital AI models

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 ...

Scientists Are Building Artificial Brains from Living Cells

Artificial neural networks built with biological cells promises massive energy savings.

Anker’s THUS AI Chip Platform Brings Neural-Net AI To Consumer Devices

Anker's THUS chips embeds a processors on memory chips to reduce the energy consumption. Apple has done something simililar by putting memory on a processing chip.

Chessiverse Releases Bots 4.0: A Complete Rebuild on Maia2 Neural Networks Delivering the Most Human-Like Chess AI Yet

The new generation of chess bots eliminates jarring, inhuman moves, extends the rating ladder from true beginner to beyond 3000, and makes hyper...

Google quietly launched an AI dictation app that works offline

Update (April 7, 10:30 p.m. PT): The company has updated the app store listing and removed references to the Android app. But it also added that the iOS keyboard is coming soon. The app is free to ...

The best AI dictation apps, tested and ranked

AI-powered dictation apps are useful for replying to emails, taking notes, and even coding through your voice ...

I replaced my $200/year transcription app with Whisper and NotebookLM

One drag-and-drop app and a free Google tool did everything the paid plan did — and many it couldn't.

Ditto Doing It Differently: Human-Transcription and Customer Service

Ditto Transcripts uses human staff to transcribe information for several important industries, prioritizing accuracy and ...

Why Accuracy is Still Important in High-Stakes Transcription

Ditto Transcripts built its reputation around human-verified records for legal, medical, financial, and government work.

Ben Walker on integrating the human element in transcriptions

Ben Walker and Ditto Transcripts have changed the way they provide transcription services by using only human transcriptionists who are trained in medical and...

Big fears in Big Tech sector over Artificial Intelligence job losses

Recent job cuts announced by Meta has sparked concern in both business and political circles amid fears that the great AI job displacement is already under way, writes Correspondent Brian O'Donovan.

Could artificial intelligence improve special education?

Special education teachers are using artificial intelligence to manage crushing paperwork. Could it help instructors spend more time with their students?Millions of students qualify for special education and they need qualified  teachers to help them.But burnout for these teachers has caused many to leave the profession – one reason –  the paperwork Now, a growing number of special educators are using A-I to speed up that paperwork and some research shows that despite the risks – it could help them spend more time with students.For sponsor-free episodes of Consider This, sign up for Consider This+ via Apple Podcasts or at plus.npr.org. Email us at considerthis@npr.org.This episode was produced by Tyler Bartlam. It was edited by Steven Drummond, Nirvi Shah and Courtney Dorning. Our executive producer is Sami Yenigun.

OEd BS Artificial Intelligence program leads shift toward next-gen learning

This growing shift toward flexible, technology-driven education is where Online Education (OEd) continues to establish its ...