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@flowybin

building @ alloy, tweets utf-8 encoded, previously at uber, amazon

sf Katılım Kasım 2024
929 Takip Edilen85 Takipçiler
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bin
bin@flowybin·
abstraction is just a negotiation between truth and convenience
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dax
dax@thdxr·
i wish we could all be less serious we should all just be laughing at that post about bun instead of taking it seriously the reason it got written in the first place is because everyone is way too serious about dumb stuff
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bin@flowybin·
@kepano hmm - could this not be seen as a product problem where you are clearly not being explicit about the capabilities the platform has towards users? seems to me like an onboarding / clarity issue if this is recurring
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kepano
kepano@kepano·
my experience of social media is sisyphean
kepano tweet media
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Adam Rackis
Adam Rackis@AdamRackis·
Jarred reading the Zig guy's blog post
Adam Rackis tweet media
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ThePrimeagen
ThePrimeagen@ThePrimeagen·
5.6, 4.5, 1.1, 5, and 5.2 all in like two weeks... How am I suppose to keep these models in my head?
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bin@flowybin·
@mitchellh well then who the fuck is franklin
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Mitchell Hashimoto
Mitchell Hashimoto@mitchellh·
Spent all day exclusively using Sol Ultra to get a feel for it. No notes yet still figuring it all out. But this caught me off guard. Like who the fuck is Franklin. lol. (Obv I clicked and found out but when I tabbed over I was taken aback)
Mitchell Hashimoto tweet media
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bin
bin@flowybin·
@GergelyOrosz is react not a dev tool? graphql? pytorch? presto? cassandra? bad take gergely
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
This model looks impressive on paper. However, Meta has no history in dev tools, save for shutting down tools devs loved and used (Parse, 2013) It will take more than a single release to gain developer trust, and love. It takes years. I wonder if Meta will persist that long?
Mark Zuckerberg@finkd

(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.

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Sri
Sri@__karnati·
Kubernetes in 60 seconds
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bin@flowybin·
@AIatDoorDash how are you evaluating the real issues? 53.6% of what exactly?
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DoorDash AI Research
DoorDash AI Research@AIatDoorDash·
Models out of the box have trouble reviewing DoorDash’s codebase, even when feeding them appropriate context. Single-pass AI reviewers only caught 30% of the real issues in our PRs. Instead, we built a multi-model (Sonnet 4.6 + Opus 4.8) code review agent that caught 53.6% issues at $3.91 a PR (most enterprise code review solutions perform significantly below 50% recall on DoorDash PRs). Today, we’re proud to share DashBench, our internal benchmark to compare multi-model/harness code review systems against each other. DashBench has given us confidence in maximizing the intelligence per dollar we’re spending on AI tokens to ship code safely.
DoorDash AI Research tweet media
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Mason Hughes
Mason Hughes@msnrhu·
If you don't think this way, you're cooked
Mason Hughes tweet media
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pokeghost
pokeghost@pokeghosst·
yeah sex is nice but have you tried functional programming
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MrBeast
MrBeast@MrBeast·
First person to reply with the exact number of pennies in this room win $10,000
MrBeast tweet media
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Tibo
Tibo@thsottiaux·
What is something that you feel is surprising that Codex still can't do well and we should have gotten right a while ago?
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love drops
love drops@lovedropx·
love drops tweet media
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🍂
🍂@Lovandfear·
this!
🍂 tweet media
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Augustus
Augustus@AugustusDelano·
Literally no-one can stop you but you
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Sam Lambert
Sam Lambert@samlambert·
you can put chic-fil-a sauce on anything btw. they don’t check.
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Ryan Carson
Ryan Carson@ryancarson·
The idea that software engineering jobs are going away because of AI seems laughable now.
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