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Many of the best engineering, tech, blog posts all answer the same question “Can we have our cake and eat it too?”
6/7 engineers recommend blog post-driven development
@confusedqubit Makes sense! Sounds like a good blog post in the making 👀
@confusedqubit Curious how much of this is agent driven testing implementation vs preexisting / human. Do you find the layering of testing is materially helping with velocity?
It shouldn't be impossible to have deep control of your inference stack. Inference on Modal is "just an app built atop our existing platform", + some sick engineering to offer frontier-level specdec, fast autoscaling, o11y, etc. happy tokenmaxxing :)
It is not too late to _actually_ own your inference. Introducing: Modal Auto Endpoints.
Modal Research cooking
Speculation Is All You Need. In this blog post, we announce the co-release (w/ Z Lab) of six more state-of-the-art DFlash speculators for @Alibaba_Qwen 3.x. Over 1k output tps for 3.5 122B-A10B on a B200. Read the blog for why we're all-in on spec dec. modal.com/blog/spec-is-a…
@diptanu @cnnradams @modal @computesdk Yeah, the infra provider for the client side seems to have fallen over for various reasons
@diptanu @cnnradams @modal @computesdk ComputeSDK’s client-side infrastructure (and some event loop shenanigans in our client) was our bottleneck! Maybe we should write a Rust SDK 🤔
@diptanu @cnnradams @modal What’s a couple of orders of magnitude between friends
@confusedqubit @LoopholeLabs I think I’m just getting lost in my heavily vibed fork 😅
@confusedqubit @LoopholeLabs Ah yes, forgot this was stock CH behavior actually! Makes sense!
Okay, that said: we cut burst TTI on @modal sandboxes by over half! no benchmark funny business, just hard systems engineering
One funny thing about sandbox startup latency is that “started” often means something much narrower than users think it means dinner isn't ready just because the oven's on 🧵
@Mng64218162 not saying they aren't handling scale, but...
> I've seen a Mythos output and it was the most incredible AI produced software I've ever seen. Serious question: If this is true, why isn't Anthropic pumping out a bunch of incredible software? Is Mythos better at smaller projects not worth publishing? Or mostly cybersecurity?
random shit → hvm5 done, ~5x faster than hvm4, supgen is happy → AGI = when you can train Mythos from scratch in your laptop → that is only possible through a whole new approach to AI → my goal is still to try. because why not? the space of ideas is vast → I've seen a
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Monishee Matin @monishee
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geoff @GeoffreyHuntley
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Diptanu Choudhury @diptanu
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Monishee Matin @monishee
52 Followers 67 Following basically a promoter but make it tech marketing @modal
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740 Followers 123 Following @NixOS_org board member, bringing Nix to work with @floxdevelopment
Tom Elliott @theotherelliott
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TokioConf @TokioConf
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David Crawshaw @davidcrawshaw
12K Followers 1K Following ceo https://t.co/rCiZyr11L3, co-founder and ex-cto @Tailscale. forever a programmer
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91 Followers 93 Following experimental projects & crypto @stripe | @harvard
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2K Followers 1K Following Member of Technical Staff at @Lovable - founder of Molnett that got acquired by Lovable
Erik Dunteman @erikdunteman
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Walter @waltergoat
501 Followers 68 Following @modal prev @virtufinancial @tesla_optimus @rippling @hubspot @tryramp @confluentinc @tiktok_us @millenniumhf @snowflake @ibm
Ramp Labs @RampLabs
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Youngmin Park @Bungmint_
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adi @adiprasadd
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Thijs @cdngdev
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