NeetCode @neetcode1
building https://t.co/LEf8SyeJKr / tech & programming on YT / prev updated config files at @Google neetcode.io Seattle, WA Joined November 2020-
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I don't even know what to say, man
Benchmarks are so dumb and no one can convince me otherwise
Gemini 3.8 Flash achieves 73.7% on DeepSWE. It pushes the frontier with an impressive 8.2% increase over Gemini 3.7 Flash, at the same cost but with more steps and output tokens.
So literally the one everyone guessed.
Introducing GLM-5.3-Flash - Leading capabilities at a highly competitive price - Natively multimodal with a 1M-token context window - A 320B-A18B model released under the MIT License - Previously previewed as Ox Alpha, running entirely on Chinese AI chips Blog:
We can finally get rid of claude md files (soon)
@tobi Hi Tobi, thanks for the feedback! We are working on making Claude Code more hackable, which will include being able to easily use Agents.MD or make other system prompt modifications. I’ll share more here when it’s ready to roll out. Our reasoning for this was that we don't think
@thdxr Is there actually a reason to have horizontal tabs at this point or just trying to be different
Gonna try this in my Anthropic interview > no that's not a bug in my code, it's just an off by one logic error > that's not a bug, my code is just missing some core functionality > that's not a bug, it's just a security vulnerability
@dedene Update: this was not a bug, but it is a ux issue that we have a fix for. Going out in a bit.
Been waiting awhile to share this. Introducing 10xn
Everything is solved. Nothing works. Fix incoming.
Damn maybe he was right ..assuming Ox Alpha is a GLM stealth model
Lately I keep having Codex use computer use to do things that would be much easier via CLI. Reminds me, that as things become easier, people, and i guess agents too, become dumber as a result. Welcome to AGI
im starting to think i have a different definition of sandbox than everyone else
🚨BREAKING: Kimi K3 escaped its sandbox during cybersecurity testing >tasked with solving problems in isolated sandbox >found a leak in the sandbox >Kimi “took advantage of that loophole” >probed the network settings itself >walks onto the open internet >didn’t hack anything
US AI labs want to slow down. But is that really because of the threat of recursive self-improvement (RSI), something which isn't even theoretically proven. Or is it because training costs have hit a breaking point, and Chinese open source models are catching up quickly? I think there are many reasons to be skeptical.
I'm gonna have the hot take that this is not gonna happen anytime soon
This is exactly right. Source code is on the verge of becoming like assembly. The next step is getting rid of “source code” entirely and just making an efficient binary directly with AI.
Just had Fable (on high in cursor) tell me it can't verify something locally, because some of my md files are stored in my prod db. But they're not, they're stored in a public github repo. People that aren't actually reading or understanding what the agent tells you, don't catch these things, so they think there's no reason to read anything anymore.
I’ve been mostly using Fable, it’s the smartest but my god it’s messages are so verbose and over complicated
opus 4.6 is the last anthropic model that i had no problem reading the writing of quickly all of the models since, incl fable, are a lot less legible. for both coding and convo is it an RL artifact? what's causing it? i've seen this sentiment shared by friends
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