Jithu R Jacob
@jithu_r_jacob
Tech Lead, ML Engineer. I tweet about models, systems, products, prod deployments & engineering. Opinions are mine and not that of my employer.
내가 좋아할 만한 콘텐츠
Blood Seen from Space NEW Maxar satellite images from El Fasher, Sudan show bright-red patches around homes — highly likely blood — pointing to mass civilian killings by UAE-backed RSF militia. Source: @HRL_YaleSPH
⚡️ The massacre in Sudan is so massive that you can literally see bloodstains from space, visible in satellite footage.
this map is a product of a thought i had that why hindi(devnagari) doesnt have a upper ca se. Bicameral scripts have two cases. Unicameral scripts have one; very interesting strip of uni (data source: mr grok) (map by @indiainpixels)
This is amazing - a periodic table showing every element and how it’s used. Chemistry really is everywhere. 🔬✨ What’s your favorite element?
Our Docker images had 847 vulnerabilities. All from the base image. We were using ubuntu:latest. The fix: - Switched to distroless images - Reduced image size from 420MB to 28MB - Vulnerabilities dropped to 3 - Container startup time improved by 60% Then discovered our CI/CD…
I stole this idea and now use it with every single employee. It’s the best illustration I’ve seen of teaching someone to be high agency. It says there are 5 levels of work: Level 1: “There is a problem.” Level 2: “There is a problem, and I’ve found some causes.” Level 3:…
Geostationary satellites are leaking critical data, transmitting sensitive communications in the clear. With just $800 of consumer hardware, researchers intercepted military, telecom, retail, and infrastructure traffic. No state-grade tools required. Captured data included full…
Woah - this is huge. F5 says government hackers had ‘long-term’ access to its systems, stole code and customer data Breach impacts BIG-IP dev environment and knowledge management systems. Here's what we know:
Market research firms are cooked 😳 PyMC Labs + Colgate just published something wild. They got GPT-4o and Gemini to predict purchase intent at 90% reliability compared to actual human surveys. Zero focus groups. No survey panels. Just prompting. The method is called Semantic…
Did you know you can run ngrok (without installing it) by using tunnel.us.ngrok.com as a reverse tunnel? Try this: ssh -R 80:localhost:80 http It's the equivalent of `ngrok http 80`
This paper shows that you can predict actual purchase intent (90% accuracy) by asking an LLM to impersonate a customer with a demographic profile, giving it a product & having it give its impressions, which another AI rates. No fine-tuning or training & beats classic ML methods.
Unpopular opinion: Software engineering is the only job where the interview is harder than the actual job Interview: Design a distributed system for 10M users Job: The login button moved 2 pixels, please fix
Server load so high you can’t even SSH in? 👉 Use this command; ssh -o ConnectTimeout=1 -o ConnectionAttempts=1 user@host "nice -n -20 bash" It gets you a high-priority shell when nothing else works.
💡 DB Design Pro-tip: Soft Deletes Soft deletes: instead of removing a row, you mark it as deleted (e.g. deleted_at TIMESTAMP). Great for undo, audit trails & not breaking FKs. But! If you query the base table directly, half your code will forget to exclude “deleted” rows.…
🚨Terrifying news in TOI today – 1 in 3 Indian children aged 5–9 already have high triglycerides, and Delhi tops in hypertension. Why Are Indian Children (5–9 yrs) Showing High Triglycerides? The report shows that 1 in 3 Indian children aged 5–9 already have high triglycerides,…
Run 70B LLMs on a 4GB GPU with layer-wise inference and memory optimization, quantization optional
A lot of opportunities here for Indian hardware startups.
Tip: You don't need python-dotenv, use "uv run" with --env-file, and your env vars from .env get loaded. For example, if you've got a @FastAPI project you can run it locally with env vars like: uv run --env-file .env fastapi dev
"You need to make yourself a big target for luck, and the way to do that is to be curious." Paul Graham on how to figure out what to work on:
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