we're launching the alpha version of playback - only 100 people will get in.
Here's what to expect:
this is the first chance to contribute redacted training data and earn ████ before anyone else.
macOS m-series required.
looking for heavy AI users:
founders, researchers, builders, ████, and you.
your redacted screenshots will be scored & used to train the model.
If you're an alpha user, you’ll be first to access playback ai-the LAM that uses a computer better than you.
later, we’ll expand to pc, android, & ios.
Fill out this form asap and we will notify you if select.
████https://t.co/isHdNzpsc3
There's a referral field on the bottom.
Tell you friends, make sure they mention your ████.
summary:
- alpha release: limited to 100 people
- contribute redacted screenshots, earn points early
- macOS M-series required, looking for AI power users
- data will train a model that outperforms any single user
- early adopters get first access to the AI
- expansion to PC, Android, and iOS later
we're launching the alpha version of playback - only 100 people will get in.
Here's what to expect:
this is the first chance to contribute redacted training data and earn ████ before anyone else.
macOS m-series required.
looking for heavy AI users:
founders, researchers, builders, ████, and you.
your redacted screenshots will be scored & used to train the model.
If you're an alpha user, you’ll be first to access playback ai-the LAM that uses a computer better than you.
later, we’ll expand to pc, android, & ios.
Fill out this form asap and we will notify you if select.
████https://t.co/isHdNzpsc3
There's a referral field on the bottom.
Tell you friends, make sure they mention your ████.
summary:
- alpha release: limited to 100 people
- contribute redacted screenshots, earn points early
- macOS M-series required, looking for AI power users
- data will train a model that outperforms any single user
- early adopters get first access to the AI
- expansion to PC, Android, and iOS later
We've been heads down building for the last two months - now it's time.
the playback alpha is dropping in █ days.
we're sending out a questionnaire to classify testers.
we're also raffling 2 spots to the nads @monad_xyz & 2 to infinitians @infinitacity
stay sharp ██
more details soon™
I pitched @TimDraper & @AdamDraper from @BoostVC and @drapervc
this is what I learned: ██
imagine prepping for weeks, refining your pitch down to a tight, compelling 3 minutes…
and then, 3 days before the pitch, they tell you it’s happening in a steakhouse 🥩
oh, and by the way, it’s 2 minutes now.
this is what happened when i pitched @playbacknet to the drapers.
I had to cut the technical details and focus purely on the narrative - what we do, the problem we solve, the traction we have, and how the world changes when playback succeeds.
13,000+ people on the waitlist. qualifying alpha users next week. no fluff. no wasted words.
then came the interruptions.
they’ll stop you mid-sentence, challenge you, try to throw you off.
the trick? don’t fight it.
answer fast, skip the slide if needed, and keep the flow going.
what i learned:
- be flexible. your pitch will never happen exactly as planned.
- roll with the interruptions. answer directly, keep momentum.
- get to the point. a good story beats a deep technical dive every time.
- use ██ to redact words. make them more curious.
steakhouse pitches 🥩 high-pressure interruptions.
brutal timing cuts (pun intended).
this is the game. and we’re just getting started.
Playbacknetwork
LLMs prompt text instructions but are unable execute them directly.
A LAM(Large action model) can transform these prompts into actual actions(moving mouse,typing keys...) directly in your computer, through @playbacknet 's proprietary software and training data
This @OpenAI dev demo vid is crazzzy. Must watch.
I'm most impressed by the latency. I suspect they're moved a lot of the o1 "thinking" to happen in the background while it's the user's turn. plus caching.
phone use demo was slick. nice tool ui.
https://t.co/nz385vrN9H