@sama Make the API for ChatGPT Live crazy cheap and you'll unlock endless new use cases. I know it's cheap compared to 11 Labs, but still way too expensive for many uses.
@devinjameson What you're creating requires an unusually high standard of consistency and correctness. So, you're probably stuck with some amount of manual review until agents can code and/or review as effectively as you.
@theo I've had one session. I asked it to visit some specific websites, research a specific topic, and return to discuss its findings. It went away, filled 60% of its context window, and came back lobotomised ๐คฃ
@trq212 I will PM you my system prompt. It's very very different to yours. It might give you some ideas. It might also help you to understand why your prompts drive me nuts.
@trq212 I plan in the Agent SDK with my own system prompt, not plan mode. Agents keep saying it contradicts Anthropic's. It does. The tool and MCP instructions say act first: publish unasked, create a doc before thinking. Mine says wait for my lead. Theirs win, and I can't edit them.
@theo@thomasboomcom@typelessdotcom@WisprFlow WhisprFlow is terrible! But then again, so is every other speech to text app I've used. Like you @theo, I just want something that accurately transcribes what I say. If it needs polishing, I can do that myself, or get a smart model to do it.
@CompleteSkeptic I put myself on the waitlist 16 Sept. I received an email saying, "You're in!" 17 Sept. When logging in today, I'm told "Whoops, we're full". I understand not letting new people off the waitlist. But rejecting someone who was accepted several days ago is ludicrous!
@aquavoice@WisprFlow I just tried it briefly and it slowed my Mac Mini to a crawl. So not for me. I really wish someone could build a decent voice transcription service.
@WisprFlow was good for the first couple of weeks using it. Then they swapped the good model for an incompetent one. Today, they seem to have downgraded even further. Anytime I've contacted support, they ignore me. What's better?
@aquavoice@WisprFlow You almost had me. But a thousand free words is not sufficient to test it. You request screen recording permissions without a detailed disclosure of what happens to to the data. You offer a discount with a .edu email, but no obvious means to register by email.
@mignano I think about user facing agents as coworkers. Sometimes, you interact face to face (via a bespoke GUI) and sometimes via 3rd party communication platforms.
@AndrewYNg This is a complex topic. I think safety has to be the #1 priority. However, the response needs to be calm and rational. While I fear the potential dangers, I also fear paranoid pandering ignorant regulation. Thanks for this contribution to the debate ๐
@marcklingen sat down to demo all langfuse features in a single video.
Agent observability, monitoring, evals, prompt management, and what is special about Langfuse.
Great place to start if you are new, or catch up on latest changes.
https://t.co/3lSorqdNme
Jev is a textbook example of Clayton Christensenโs Innovatorโs Dilemma playing out in AI.
It is commoditizing the bottom of the ML market: classifiers, routers, scoring and context triage. For frontier LLM labs, these workloads are not even worth pursuing. Revenue per decision is tiny, margins are razor-thin, and their entire infrastructure is optimized around selling expensive reasoning and token generation.
They cannot simply put a smaller LLM on fast inference chips like Cerebras and compete. Jev uses fundamentally different infrastructure, built to return typed probabilistic decisions so itโs a pure disruption