@polyphilzi
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recursing // prev button pusher @crosbylegal @traba_work @google
NYC
Joined June 2016
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Did you know tiny models are capable of out-planning a database?
I trained a 4B model to produce 81% faster query plans than Postgres. Write-up below 👇
Rohan Bansal retweeted
Agents are using legacy Python packages to edit Word, Excel, and PowerPoint files, hitting API gaps, dropping into raw OOXML, and creating silent corruptions.
We fix that today with OSS Paper Office:
can confirm this works shockingly well, xhigh astra (top left) steering a fast but dummy medium astra (bottom left), it's like a poor man's version of mostik
I’m seeing lots of tweet replies asking basically “but how do I get two models to talk to each other? Without me manually copy/pasting results between apps?”
And I’ve heard this same question repeatedly from friends who use AIs mainly through GUI apps.
Yes, there are various apps starting to be released for just this problem. But it’s worth knowing that in a pinch you can already do all this yourself, on the command line, just by using tmux.
Here’s how.
On the command line start a named tmux session with the command “tmux new -s chat”.
Create a second window within that session. (The default keystroke for this is doing “ctrl-b c”. You can switch between windows by doing “ctrl-b n” for the next window.)
Launch the codex CLI in one window, and the claude CLI in the other.
Then you can literally say to the AI in window 1, “please read the analysis of the AI in window 2 of the tmux session ‘chat’. Wdyt?” And vice versa. Now you have cross-harness review.
Or you can instruct one AI to delegate and manage the other AI over multiple turns, or monitor it over time, or whatever. This works because each AI can use the tmux CLI to read and write to the other’s window.
This does not on its own solve coordination problems like deciding who is in charge, or who talks first, or who waits for whom, but it establishes the basic communication primitives of “read the other AI’s output” and “write to the other AI”. You can build more complex workflows on top of that mostly by prompting.
The fundamental reason this all works is that the Unix-era command line environment is more interoperable than the modern GUI environment, so a decades-old tool like tmux is still one of the best ways to compose modern AIs. Obviously the command line tools are a PITA in other ways. But it’s great that they are so flexible, they already exist, and they work right now, so you don’t need to wait for the vendors to get their apps to play nicely with each other (which might never happen) or for someone else to catch up and write a new app just to connect things.
weekend hack - after discoloop was announced, I got curious on the current State of Neolabs™ and built this data viz covering research areas of focus, geography, valuations and more
neolabs.fyi/
Loot from optimizing my use of 3 @thsottiaux resets I had saved up on a $200 codex plan
Paid ~$66.67 for 10 days. Got back ~$5k in value.
How is this real
github kinda cooked with stacks, 14-pr stack merged in <1 min
no need to wait for ci after every progressive merge like some kind of animal
A few weeks and 550 million gpt-5.4/5.5 tokens later... I ported the entirety of VS Code/Cursor's git diff view to Lua
Introducing glance - a standalone TUI for reviewing and actioning on git diffs
Glance supports:
- a side-by-side diff view
- stage, unstage, discard or commit staged changes from the filetree
- a config layer to customize everything from glance's keymaps to its theme
- a 3-way merge view for conflict resolution
...and more 👇
Glance was built across a lot of Codex sessions, with Claude Code running review passes. Every diff was also reviewed with... well, glance itself.
I honestly would not have been able to enumerate across countless git edge cases without AI, and even then git is gnarly and I'm sure I missed some (let me know!)
`brew install polyphilz/tap/glance`
Deps are nvim 0.11+ and git.
Go review your diffs!
github.com/polyphilz/glance
Rohan Bansal retweeted
We raised our $60M Series B for one reason: to hire people who are unreasonably good at what they do.
Excited to have Lux & Index leading the investment, with participation Sequoia, Elad Gil, Bain Capital Ventures, and 01 Advisors. But the investors I'm most proud of are the ones who joined full-time: engineering and design leaders from Ramp, Stripe, Hume, and more. As a 15 person engineering team, our talent density is the highest I've ever been around.
We're hiring across eng, product, design, legal, and ops. If you want to build the next great applied AI firm (Neofirm), reach out. DMs open
📣 Update: we raised our $60m Series B from @Lux_Capital, @IndexVentures and @01Advisors, with participation from @sequoia, @eladgil and @BainCapVC .
When we came out of stealth 283 days ago, we had negotiated contracts worth $30m for our clients. As of last month, that number is over $1 billion.
We work with the most ambitious companies in the world, including @tryramp, @clay and @RogoAI. Today, we want you to hear from some of them directly.
Contracts are the rails of commerce. @crosbylegal is a hybrid AI law firm that gets them signed 80% faster. We’re announcing our Series B to keep scaling the dream law firm.