This cannot be true, right?
The bug is like a joke.
On Alpine Linux, type 257 to 1024 characters of anything and you get root. 💀
Readers added context they thought people might want to know
Exploitation requires specific conditions, not just typing a long string anywhere on Alpine: sshd built without PAM, password auth enabled, a target account with a '*' password field, and another local account with $5$/$6$ hashes. Root login also must be explicitly permitted. alpinelinux.org/posts/2026-11-… openssh.org/releasenotes.h…
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Siva Narayanan retweeted
Agaram 2.5B is out. It's a Tamil-first language model we trained from scratch at @MuraiLabsHQ , our small non-profit lab. As far as we know, it's the first Tamil model trained from scratch that can call tools.
It chats in Tamil, Tanglish and English, translates, and can call tools. We're releasing the base model, chat model and GGUF files under Apache-2.0. You can download it and run it offline on your own laptop.
The first chat model had a four-day public preview. Seeing where it fell short with real users helped us decide what to work on. We rebuilt the fine-tuning around what we saw, using 222,662 records.
Thank you to everyone who spent time with that early version.
The video walks through the model. You can try it here:
hf.co/spaces/mechramc/agaram…
நன்றி 🙏
Siva Narayanan retweeted
massive update! claiming victory on the most dirtiest spot i’ve seen in bangalore. we transformed it in less than 10 days.
wind tunnel road is no longer a garbage blackspot. here's exactly how we did it:
step 0: when i saw the video post by @madhuriadnal, i called mr. bhimesh (DGM) and mr. ravi (AGM) at BSWML. there was immediate action.
@arunpaiblrwalks joined the next day, and we had an approximate plan for execution ready.
step 1: a one time clean up of all the legacy waste. this isn't the fix but it gives you a start so you can track how much waste gets dumped overnight. BSWML also made sure garbage collection happened every day from the areas around.
step 2: study the content and quantity of garbage. figure if it is household, restaurant or street vendor waste.
step 3: basics of broken windows theory. we illuminated the spot with a floodlight and parked a garbage auto there at night. people started dropping waste bags in the auto instead of on the road.
by step 3 (~day 4) we knew most of the waste came from street vendors on wind tunnel road and some of it from residents who miss the morning pickup.
step 4: early beautification. a green net along the bridge, the walls painted white. people don't dump when a place is maintained, illuminated, and beautified.
step 5: enforcement. a marshal was on site for a couple of nights, fining and educating people who dumped.
we started seeing results. overnight dumping dropped sharply, and more than once we saw people pick up what they'd thrown and put it in the auto.
step 6: take over the space by final beautification, a kerb, reflective bollards, and a footpath. on the final day everyone showed up. @GBA_office, BSWML, arun and his team, regular volunteers, and people who'd followed along here on X. we painted the wall and planted saplings.
(the great volunteers @amitpgupta @frunkad @__jstar @anurag25phadnis @shbhmmshr)
hi @madhuriadnal, thanks for recording this. i just spoke to mr. bhimesh (BWSML deputy general manager) to get this cleared up asap. BWSML said this will be done early morning tomorrow because the garbage collecting folks work until 2:30 PM.
they’ve promised to send pictures/videos after getting this done. i got in touch with him using iknowaguy.help/bangalore/fin……. let’s see what happens.
Siva Narayanan retweeted
we have received a lot of dms asking: how 2 people, without a research lab, trained hobbylm using roughly 100 - 400× fewer gpu-hours than many models in this space
so here is the short answer: we spent 76 hours training on 4 h200s, bringing the full base run to roughly 304 gpu-hours.
for context:
sarvam-1: ~122,880 gpu-hours
zoho zia 7b: ~153,600 gpu-hours
llama 3.2 1b: 370,000 gpu-hours
llama 3.2 3b: 460,000 gpu-hours
i will share the engineering decisions, failed experiments, what worked, and the full training story over the next few days.
built with @hariharanms95.
We are releasing HobbyLM from @Fuellabsai : a sparse MoE trained from scratch, with 1.037B total parameters and ~305M active per token, on ~100B tokens.
Here's how we built 🤞
Bengaluru last elected its ward councillors in 2015. Since then the city has spent about ₹38,455 crore a year with nobody local to blame for the pothole outside your gate.
The ward elections are coming soon, hopefully 🤞. A few of us are building something for them. 🧵
Special shoutout to Claude (@claudeai @AnthropicAI) and Codex (@OpenAIDevs @OpenAI) which enabled us to build this.
If you've made it this far, do visit bengaluruvotes.opencity.in, look up which ward you live in and consider donating.
I was today years old when I learnt that I could use iPhone mirroring on the mac and use codex / claude computer use to interact with apps
Siva Narayanan retweeted
last night post 2:30 AM, BSWML folks removed the debris. today, the beautification work has began. they are going to paint the walls between until 2:30 PM. drop in to say hi or join to help in painting the walls!
a couple of folks have volunteered after my last post to send videos of the site. we already have next steps on what do we do so that civilians dont dump garbage here.
hey folks! here's what the wind tunnel road looks like now. it will be beautified and will become unrecognisable soon. but the sad news is it will be covered in garbage again. this is what we call a blackspot.
so i want your help with the real problem: to keep it clean. i need 5 volunteers to send video/pictures after 7pm (after 10pm if possible) and before 7:30am over the next 7 days.
we're trying to find a framework that works for spots like these so DM me.
if it works here, it can scale to the rest of the city. i know someone who has cleaned and maintained 150 spots like this in less than 70 days. so it can be done. it is possible.
GBA and BSWML clean it and it comes back. not because the ward AGM didn't do their job or the marshal didn't patrol. it goes deeper than that. it's a systemic problem. over the last 3 days, i have spoken to a bunch of stakeholders from every level. and i see a lot of hope. real hope.
the limited time i get from running anomaly, i want to use it to give hope than just garner likes and laurels from posts about one time fixes. many other much powerful folks than me have been trying to give us all hope lately, i want to do it too. it’s like a game now. a win here is this stretch is still clean a month from now. a los is it's piled with garbage again.
