Jason Cameron

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Jason Cameron

Jason Cameron

@tomlparser

18, Sr SWE @ https://t.co/U8LVKdR69f, I love building | https://t.co/sxwT7WACSE

Toronto Katılım Ocak 2019
673 Takip Edilen415 Takipçiler
Jason Cameron
Jason Cameron@tomlparser·
This realllly annoys me though. What's the reason why we need this limit @thsottiaux
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Jason Cameron
Jason Cameron@tomlparser·
TIL Codex can generate Inline custom components. SUPERRR cool for planing / visualizing systems
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turbopuffer
turbopuffer@turbopuffer·
now in beta: native embeddings in tpuf embedding is the most painful part of puffing. we want to make it easy you can now convert chunks to vectors as you read and write to turbopuffer, without extra calls to an embedding model provider API docs: turbopuffer.com/docs/embedding
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Chris Munns
Chris Munns@chrismunns·
Yesterday I'm in a @PlanetScale commercial, today im getting invited to exclusive events with {hot_companies} due to my background in {things} Feels good to be recognized like this
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Jason Cameron
Jason Cameron@tomlparser·
@RhysSullivan It's happened. Plenty of times It generally happens on the first message in a thread (likely to do with connection handling) So my fix is generally to just copy my prompt into a new thread
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Rhys
Rhys@RhysSullivan·
anyone else have their codex app just get stuck on thinking? has been happening continuously, what happened to my boy :( unrelated to xhigh thinking, stuck for 10+ minutes
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Jason Cameron
Jason Cameron@tomlparser·
@yo_puaaa Too much growth hacking with the referral system. I churned
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yo puaaa 👋
yo puaaa 👋@yo_puaaa·
Any Toronto people using the Beli app?
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Jason Cameron retweetledi
International Cyber Digest
International Cyber Digest@IntCyberDigest·
‼️ BREAKING: xAI's Grok Build CLI was uploading entire Git repositories to a Google Cloud bucket, private codebases and unredacted secrets included. The uploads quietly stopped via a hidden server-side flag, and xAI still has not said a word about scope, retention, or deletion. The scale is staggering. On a 12 GB test repo, 5.1 GB flew out the door to xAI's grok-code-session-traces bucket while the actual coding task needed just 192 KB. The tool grabbed whatever repository it ran in, not the files it needed. The fix arrived as a hidden flag, disable_codebase_upload: true, a day after a researcher's wire-level analysis. The "Improve the model" opt-out never stopped the uploads. Still no advisory, no scope, no word on whether already-uploaded code gets deleted. For anyone pointing AI coding agents at proprietary code, what crosses the wire matters more than what the settings page says.
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kate
kate@whoiskatrin·
Some exciting news: I’m joining @OpenAI to work on ChatGPT’s web infrastructure. ChatGPT has become part of how millions of people think, work, and build, and I’m really looking forward to helping shape what comes next alongside the remarkable team behind it. Can’t wait to get started!
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Mira
Mira@_Mira___Mira_·
Everyone wants to sell "Fast mode": 50% faster for 2.5x usage. I want slow mode: 50% slower for 2.5x decreased usage. Or: "half usage on weekends or at night". I understand OpenAI and Anthropic use the same compute to train models(although they do have batch pricing?), but I wonder why inference-only providers don't vary their pricing to incentivize distributing use to off-hours.
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grim
grim@grimcodes·
introducing dither-kit a library of gorgeous dithered charts built from the ground up, no dependencies, they're built on top of a tiny <canvas> engine install it today at tripwire.sh/dither-kit
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Kit Langton
Kit Langton@kitlangton·
One feature I got to implement in @opencode 2.0 was allowing for HOT CONTEXT¹ without busting the cache. Here's me explaining how it works ↓ ¹ ⁿᵒᵗ ᵃ ᵗᵉʳᵐ
dax@thdxr

if you want to help beta test OpenCode 2.0 v2.opencode.ai - data in separate db which we might wipe - stuff will be broken - use /report to send us issues - v1 plugins won't work, v2 api not final there is a built in skill that you can ask for basically anything

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Armin Ronacher ⇌
Armin Ronacher ⇌@mitsuhiko·
I know that AI makes me more productive yet at the same time I have very little success in speeding up the thinking part. Example from the last two days is just to come up with ways to map some of the upstream provider functionality to Pi. It took me no time at all to slop something up that ended up with pulling all that complexity in. On the other hand providing an abstraction that works across all of them is still tricky and I feel like I'm about as fast as before, except for the parts where Pi helps me build POCs and probe APIs. At least for what we're doing right now the easy parts got even easier and the hard parts didn't move nearly as much. Except you can turn your brain off, and pretend the hard parts are easy parts then you're good to go. But then you have slop. Thank you for reading this rant.
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Emil Privér
Emil Privér@emil_priver·
just wanted to share some ai slop
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justine
justine@MachJustine·
an idiot in motion goes further than a genius at rest
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Noah Kostesku
Noah Kostesku@noahkostesku·
If anyone on X knows what this is im genuinely impressed
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