fried

697 posts

fried

fried

@frieddriceeeeee

Katılım Eylül 2024
172 Takip Edilen10 Takipçiler
taoki
taoki@justalexoki·
@nikitabier that is absolutely available to apps. what do you mean?
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Nathan Odle
Nathan Odle@mov_axbx·
I don’t actually want to crap on it as I get that it’s very good at what it does and saves software types a lot of time. But it is an outside dependency and Wireguard isn’t that hard to set up. If you don’t know how, Claude/Codex can do it instantly. I’ve worked from all over the world, just with my own Wireguard that took like 10 mins to set up. But also, I’ve never come across a tool so universally loved by SWEs which is interesting. Cynical take is that they don’t actually know much about networking but I am not a cynic. But on the other hand I have never understood why I would want it, so maybe I’m confused lol.
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kache
kache@yacineMTB·
anthropic should buy tailscale
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fried
fried@frieddriceeeeee·
@NickADobos @ankesh_anand Because they can use the larger pro model as a teacher model. Or even distill from Pro directly
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Nick Dobos
Nick Dobos@NickADobos·
@ankesh_anand This might be a dumb question, but why train pro first then? Wouldn’t it make more sense to do those improvements on the small model first? (Honestly maybe more of a random scheduling thing, but curious if this was planned or not)
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fried
fried@frieddriceeeeee·
@Qusaismael @T3chFalcon HTTPS is literally designed to mitigate a compromised gateway. Your traffic is encrypted from client to server. Nothing in between can decrypt it. Even more so if you use HSTS
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Qusai Ismael
Qusai Ismael@Qusaismael·
@T3chFalcon But still, the traffic ( in a low chance ) in a public network can get a man in the middle in between, even if there is an HTTPS. if you are on a compromised gateway.
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IT Guy
IT Guy@T3chFalcon·
VPN companies spent millions convincing you that a hacker on Public Wi-Fi is reading your bank details. ​Meanwhile, HTTPS killed that threat 10 years ago. ​You are paying a monthly subscription to fix a 2010 problem. 💀
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fried
fried@frieddriceeeeee·
@_robyn_smith try literally everything you have the opportunity to try.
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robyn
robyn@_robyn_smith·
Genuine question, how does one find their passions?
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Dennison
Dennison@DennisonBertram·
@frieddriceeeeee @HanchungLee Memory management is probably the only one there that really feels like it makes sense to me. Codex might be fast, but inference is so slow so You don’t notice the benefits imho.
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Han
Han@HanchungLee·
finally we have a company building cli using standard languages instead of brain rots. go and python ftw. github.com/MoonshotAI/kim…
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fried
fried@frieddriceeeeee·
@howmanysmaII @DennisonBertram @HanchungLee Python is definitely better than typescript for these CLI tools, although I never said I thought Python is appropriate either. Codex does it right with Rust imo.
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fried
fried@frieddriceeeeee·
@DennisonBertram @HanchungLee slow, memory hungry, slop to read, infinite layers of abstraction and dependencies. The whole point of having a CLI tool is that it’s fast and lightweight.
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Dennison
Dennison@DennisonBertram·
@HanchungLee What’s wrong with typescript for a cli?
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fried
fried@frieddriceeeeee·
@TravisSadie So clearly written by ChatGPT lol
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ST
ST@TravisSadie·
Please share 💔
ST tweet mediaST tweet mediaST tweet media
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fried
fried@frieddriceeeeee·
@bornio @btibor91 They probably already have a model which is ‘GPT-6 tier’, they just need to build out the inference capacity for it.
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coffee
coffee@bornio·
@btibor91 Not going to happen. At least not with a step change improvement everyone expects. It takes 6-12 months to train a new model and then 3 to stabilize it. We might see GPT5.1 with personality of 4.5 maybe.
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fried
fried@frieddriceeeeee·
@constantitus @vaxryy I can’t agree with this take. If you allocate memory you should free it. The OS memory management should be a last resort.
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constantitus
constantitus@constantitus·
@vaxryy memory leaks don't matter in a tool that just runs for a few ms and then the os takes back all the memory. In fact, if it did actually worry about leaks and try to free them, then I would say it's poorly written.
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vaxry
vaxry@vaxryy·
at a single glance, there are like 7 direct memory leaks there. How is that a "well-written" tool?
The Lunduke Journal@LundukeJournal

Someone developed (and submitted) a “detect-fash” utility for systemd. “A utility to detect problematic software and configurations” It searches Linux systems for installations of the Ladybird Web Browser, Hyprland, or if the system is Omarchy Linux. It also contains code to detect if the user is @DHH (creator of Ruby on Rails & Omarchy). “systemd-detect-fash detects execution in a fascist environment. It identifies the fascist technology and can distinguish full machine fascism from installed fashware. systemd-detect-fash exits with a return value of 0 (success) if a fascism technology is detected, and non-zero (error) otherwise.” The code for “detect-fash” was ultimately rejected. However… Red Hat employee, and systemd developer, Zbigniew Jędrzejewski-Szmek reviewed the code and had this to say: “This is actually fairly well written and complete. Kudos! But such a tool is not a good fit for systemd.”

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fried
fried@frieddriceeeeee·
@SevDeutsch @teknium Reddit is definitely not the largest corpus of data for training LLMs. It’s significant but not the largest.
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Severin
Severin@SevDeutsch·
@teknium Pretty sure you'd get the same distribution if you map out reddit (which is the largest corpus of training data for most LLMs)
Severin tweet mediaSeverin tweet media
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Teknium 🪽
Teknium 🪽@Teknium·
Seems ChatGPT was politically biased all along
Teknium 🪽 tweet media
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fried
fried@frieddriceeeeee·
@AravSrinivas Probably because you gave everyone a free year of Pro?
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fried
fried@frieddriceeeeee·
@zephyr_z9 this is far too slow to make any meaningful difference
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Zephyr
Zephyr@zephyr_z9·
Kirin 9030 on SMIC N+2 Ascend 920 on SMIC N+3 (120-125 MTr/mm2) Production target for 2026 - 800K to 1 Million Ascend 920
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Mathias Garcia
Mathias Garcia@garciamathias_·
@ericzakariasson aren’t large models artificially slowed down to make them feel more “intelligent”? models running on cerebras reply instantly, but that speed almost makes them seem less credible even though instant answers are what we actually want
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eric zakariasson
eric zakariasson@ericzakariasson·
where on the dotted line is your perfect model?
eric zakariasson tweet media
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fried
fried@frieddriceeeeee·
@ciaran_lee Gotta fix that bufferbloat
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Ciaran Lee
Ciaran Lee@ciaran_lee·
I normally hate overengineering, but can't stop myself from doing it to my home network
Ciaran Lee tweet media
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