Interviewing the world with AI. Founder of @unsurveyit (YC) | Prev Corrily, BlackRock, DigitalGenius
London, UK
Joined May 2007
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Andrej Žukov-Gregorič retweeted
haha, and god forbid you sign up by mistake and want to cancel. Listen to some of the frustration!
Andrej Žukov-Gregorič retweeted
In-depth unSurveys automated end to end is just beautiful 🤩 to see. Here is @andrejzg powering through an engaging unSurvey-moderated interview -- talking about what he loves the most 🥁 .. AI adoption.
If you haven't yet experienced how natural these conversations feel with unSurvey, give it a spin: unsurvey.ai/unsurvey/a7852db…
#unSurvey #research #interviews #ConversationalAI #voiceAI
Andrej Žukov-Gregorič retweeted
Thank you to all the founders, investors, friends, and families who joined us for the 2nd Annual Rackhouse Summer BBQ! It was a lovely day.
Special shoutout to @BoneyardTruck, Mr. Nova's Ice Cream Cart, and @RyeOnTheRoad!
Andrej Žukov-Gregorič retweeted
Introducing Eureka, the world’s first AI doctor.
Eureka can order labs and give care in the real world. It is covered by health insurance just like a healthcare provider and is already working with thyroid patients in the US.
It’s 90x faster than most care in the US, and 9 out of 10 users want to continue with Eureka’s recommendations.
Eureka thinks like a doctor and reasons like a detective. Before any care starts, a board-certified physician reviews Eureka’s recommendations to make sure everything is in order.
Eureka currently specializes in endocrine conditions like thyroid and diabetes. Here’s what users think about Eureka 🧵 (1/5)
Andrej Žukov-Gregorič retweeted
Excited to share that we're announcing @RackhouseVC's second fund! We've closed $45M to continue to work with data and AI founders at the earliest stages. Read more here: rackhouse.vc/blog-1/rackhous…
Andrej Žukov-Gregorič retweeted
LLM bullshit knife, to cut through bs
RAG -> Provide relevant context
Agentic -> Function calls that work
CoT -> Prompt model to think/plan
FewShot -> Add examples
PromptEng -> Someone w/good written comm skills.
Prompt Optimizer -> For loop to find best examples.
Back from the Legion: Life in the Roman Army exhibition at the British Museum. Didn't know letters of recommendation played such an important role in Legion enrolment. Also: this is the. last. shield. left.
On the topic of letters of recommendation. Hannah Cotton's great 1977 thesis on the topic:
ora.ox.ac.uk/objects/uuid:4c…
Hot take from a US AI startup selling into enterprise: EU AI regulations are good. They give enterprises checklists to work with when onboarding new startup tech. Decreasing perceived risk and increasing the likelihood of deals getting done.
Andrej Žukov-Gregorič retweeted
For the past few days, I’ve been using the Mac ChatGPT app OpenAI demonstrated last Monday.
It’s unquestionably the future of human-computer interaction. Conversing with a computer is much more natural than typing. Imagine speaking to a colleague with the entire internet at their disposal. But also a verbose colleague without much sense of social cues.
Tapping a keyboard shortcut, the ChatGPT app loads & four little bars reminiscent of Google transcription software appear in the app. You can choose from 5 mellifluous voices who speak fluidly & naturally.
The computer is patient with unstructured thoughts. I used it to outline this post. I switched between the strengths & challenges of the product randomly. The software categorized & organized, transforming the rambling mess of sentences to an outline.
Verlyn Klinkenborg would still have some work to do, editing the outline. Just as most LLMs are verbose so is this app. For initial content review, that’s fine, but after the fifth or sixth iteration, it’s faster to interrupt the speaker by clicking.
A hybrid voice & text mode would improve today’s either/or experience. Seeing the document evolving as the speaker chats would help with editing.
Sometimes the conversation illusion breaks. The voice interrupts & says she couldn’t hear all of my sentences. Or the length of the input speech is too long & the app retries several times, processing smaller chunks of voice, leaving the user unclear on how much of the conversation has been captured. At least, this was my perception.
Other times, the app isn’t patient with an um or a thoughtful pause. I imagine this a tricky problem : when is a pause an indication to speak or wait?
But overall it’s clear where assistants like this will go : draft an email & send it. Delegate a task in Asana with a due date. Review a web page & summarize it in a blog post with some commentary, then check the grammar & publish it. All through voice.
Years ago, I wrote The Dawn of the Voice-to-Text Era & The Fastest User Interface on why I think voice is the future dominant user interface.
We’re much closer to that vision than ever.
tomtunguz.com/chatgpt-app/
