
Chauncey Hutter III
1.2K posts

Chauncey Hutter III
@ChaunceyHutter3
Hutter Software, we build apps on solana
Katılım Eylül 2020
267 Takip Edilen175 Takipçiler

It turns out @github has been one-shotted by LLMs and now breaks every other day. When your entire deployment pipeline is built on github and you use it multiple times a day every day for years, the most important feature of @github is it working smoothly.
@github, please stop breaking because your engineers forgot how to code with their own fingers.
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@elonmusk @diana_dukic I keep realizing the content I’m reading is AI generated and it makes me want to immediately close the app.
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@SolanaFloor @solana Notice which devs don’t use AI
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🚨BREAKING: @Solana maintained 100% uptime for 24 consecutive months without network downtime.

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Here’s what’s gonna happen:
- you replace your code review with feedback loops (sentry, datadog, support tickets, etc)
- you stop reading the code
- software factory fixes everything
- one day something breaks at 3am, agent can’t fix it
- nobody’s read the code in 3 months
- you have 3 weeks of downtime trying to re-onboard and fix it
- you lose significant % of your contracts and users
- your company is now dead
dex@dexhorthy
@gregpr07 this may surprise you that thus is coming from me but I think we’re in for a 1-3 year period where stuff might break at 3am and if you’re relying on loops to fix it and nobody understands what’s under the hood, you’re looking at an existential threat to your company
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@tomjohn1028 Isn’t the cost of running the inference higher than the cost of running the transaction?
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@willwarren If one of them spoofs then they all have to spoof to remain competitive.
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PropAMMs have been intentionally spoofing Solana aggregators for a long time now. It's easily observed and unambiguous.
But apparently it's been a taboo topic until recently? No one was willing to acknowledge it. And so nothing has been done to police it.
Aggregation and meta-aggregation has created a prisoner's dilemma that rewards bad actors at the expense of the honest ones.
Policing aggregator spoofing is good and necessary for our industry. It should be acknowledged and discussed. Bad actors should be named and shamed.

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@RaoulGMI Should be fixed once Apple approves this build. For now, you can turn your device to dark mode. Sorry about that.

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Has anyone's else's mobile experience switched to light mode with no ability to change it back? @nikitabier
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@nikitabier please let me manually set a dark theme again. Please. Why are you suddenly locking the theme to system default?
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Chauncey Hutter III retweetledi

And that's why he's the VP and you're not
Tech Sales Guy@TechSalesGuy
"so how's your month going so far?"
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@aidenybai You used a Link component to prefetch /logout but the logout route/page executed serverside code to log the user out. This is not a NextJS issue.
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@bqbrady Use a multi-core build server with a local build cache on the server. I do this and my rust builds are extremely fast.
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If the tokens keep getting faster but the Rust compiler stays slow I am probably going to ditch Rust for everything that is not mission critical
Bullish for Rust inner loop into python bindings (what we use for the amm challenge)
Claude@claudeai
Our teams have been building with a 2.5x-faster version of Claude Opus 4.6. We’re now making it available as an early experiment via Claude Code and our API.
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@RobotsWon @AnthropicAI We’re talking about knowledge and reasoning and you’re bringing up physical capabilities. Boston dynamics already made a robot that can do a backflip. That’s not what we’re taking about.
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@ChaunceyHutter3 @AnthropicAI A backflip can be a party trick or the foundation of a gold-winning Olympic routine, bro, be careful 😅
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New Engineering blog: We tasked Opus 4.6 using agent teams to build a C compiler. Then we (mostly) walked away. Two weeks later, it worked on the Linux kernel.
Here's what it taught us about the future of autonomous software development.
Read more: anthropic.com/engineering/bu…
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To be honest. I think that it emulated reasoning in a way. But the architecture is the same. Our brains reason, circuits can reason if we encode logic gates into them, but an LLM is still just generating tokens. It can emulate correct reasoning with enough tries and if we tell it enough logic rules that it can pattern recognize. Which is clearly enough to solve the above problem.
I am optimistic that researchers will discover a new architecture that is more capable of true reasoning, but imho I don’t think LLMs in their current form can get us there.
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@ChaunceyHutter3 @SeShpk @AnthropicAI Yes you are wrong that they don't understand or reason. I would argue that a LANGUAGE model being able to solve novel Erdos problems is a very clear indicator that the model is clearly understanding and reasoning, would you agree?
If you disagree, explain.
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