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Azuremis
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Azuremis
@azuremis
ᴏᴍɴɪɢɪɴᴇᴇʀ • 🌍/ᴀᴄᴄ • 🕉️/ᴀᴄᴄ ᴄʀᴀғᴛɪɴɢ ᴛʜᴇ ɢᴇᴏᴍᴇᴛʀʏ ᴏғ ɪɴᴛᴇʟʟɪɢᴇɴᴛ ᴍᴀᴄʜɪɴᴇ𝕤 | ᴀʟɪɢɴᴍᴇɴᴛ ɪs ᴇᴅᴇɴ
Wakanda Katılım Kasım 2023
3.6K Takip Edilen350 Takipçiler
Azuremis retweetledi
Azuremis retweetledi
Azuremis retweetledi
Python made AI accessible.
Rust can make parts of AI understandable.
I just published a massive update to Category Theory for Tiny ML in Rust:
a public textbook draft + runnable Rust lab for learning ML as typed transformations.
Tiny systems.
Strong types.
No framework magic.
Executable structure.
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Azuremis retweetledi
Hermes Agent is now #1 on the Global @OpenRouter token rankings.
While our journey together has just begun, we'd like to take this opportunity to thank our contributors, supporters, and users for all they have done to get us this far.
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Azuremis retweetledi
DeepSeek founder Liang Wenfeng’s hedge fund had a huge 2025, and that could indirectly fund more AI work.
Zhejiang High-Flyer Asset Management averaged 56.6% returns in 2025 across its funds.
That performance strengthens Liang’s ability to pay for DeepSeek staff, GPUs, and other hardware.
High-Flyer oversees over $10B, and it ranked 2nd among Chinese quant funds managing more than $1.4B.
High-Flyer stopped taking outside money years ago, so Liang captures most of the upside.
A fee-based estimate using 1% management and 20% performance fees implies over $700M revenue.
That is far above the reported sub-$6M budget tied to DeepSeek’s headline model work.
The hedge-fund firm shifted away from market-neutral in 2024 and went all-in on long-only stock strategies.
Among the big Chinese quant hedge funds in that ranking set, High-Flyer was beaten only by Ningbo Lingjun, which made more than 70% in 2025.
When the top funds are putting up 50% to 70%+ returns in the same year, it usually indicates market conditions were unusually favorable for the kinds of systematic stock strategies those firms run, rather than just 1 firm getting lucky.
China quant funds averaged 30.5% in 2025, over 2x global peers, and long-only quants averaged 35%.
---
bloomberg .com/news/articles/2026-01-12/deepseek-founder-liang-s-funds-surge-57-as-china-quants-boom
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Azuremis retweetledi
This is it.
Everything learned spending millions on longevity.
From: Your Immortal Unc and Auntie.
To: Our Immortal nieces and nephews.
0. Sleep is the world's most powerful drug.
1. Be in your bed for 8 hours
2. Same bedtime every night, any time before midnight
3. Don’t eat right before bed
4. Calm foods for dinner
5. No screens 1 hour before bed
6. Avoid added sugar (be aware it’s in everything)
7. Avoid all things in an American convenience store
8. Avoid fried foods
9. Shoes off at the door
10. Eat whole foods, particularly veggies fruits nuts legumes berries
11. Walk a little after meals or air squats
12. Get your heart rate high routinely
13. Lift heavy things
14. Stretch daily
15. Water pik, floss, brush, tongue scrape, morning and night
16. Make an effort to drink water
17. Get sunlight when you wake up (UV is low)
18. Protect skin in midday sun
19. Stand up straight
20. See at least one friend once a week
21. Avoid plastic where you can (in all things)
22. Circulate air in rooms
23. When stressed, breathe, learn to calm your body
24. Go to the dentist
25. Avoid sitting for long times
26. Protect your hearing, the world is too loud
27. Alcohol is bad for you
28. Finish coffee before noon
29. Avoid bright lights after sunset
30. If obese, look into a GLP
31. Sleep in a cold room
32. Texting while driving is dangerous
33. Turn off all notifications
34. Limit social media use
35. Don’t smoke anything
36. If you struggle to sleep, read a physical book before bed
37. 1 hour before bed have a calm wind down routine: bath, read, light walk, listen to music
38. The body is a clock and loves routine. Have a daily morning and evening schedule.
39. Avoid long distance travel where you can
40. Baby steps first: incorporate new things slowly
41. Do less… most things don’t work.
Bonus points if you get your blood checked.
Start here, it will change your life.
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Azuremis retweetledi
Azuremis retweetledi
the most low-effort / high reward thing you can do for security is installing the Russian language pack
(not even joking, it's ridiculous how often that prevents execution)
Microsoft Threat Intelligence@MsftSecIntel
Microsoft is investigating mistralai PyPI package v2.4.6 compromise. Attackers injected code in mistralai/client/__init__.py that executes on import, downloads hxxps://83[.]142[.]209[.]194/transformers.pyz to /tmp/transformers.pyz, and launches a second-stage payload on Linux. The file name transformers.pyz appears deliberately chosen to mimic the widely used Hugging Face Transformers library and blend into ML/dev environments. The main payload is a credential stealer, but it also includes country-aware logic; it avoids Russian-language environments and contains a geo fenced destructive branch that has 1-in-6 chance of executing rm -rf / when the system appears to be in Israel or Iran. To mitigate this threat: isolate affected Linux hosts, block 83[.]142[.]209[.]194, hunt for /tmp/transformers.pyz, pgmonitor[.]py, and pgsql-monitor.service, and rotate exposed credentials.
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Azuremis retweetledi
software engineering and computer science is actually esoteric af
when i first started reading up on systems engineering and rust programming and stuff i was thinking like "wtf these are all the same concepts from my schizo reading material"
systems be systems
if you understand systems then you can understand systems in any field
just have to adopt the specific domain knowledge in the field for it, but the abstract theory is the same
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Azuremis retweetledi
Azuremis retweetledi
Calling on Codex Fans! I need your help 🫵
I'm introducing Codex Marketplace, a community collection of plugins, skills, and hooks curated by YOU.
Yes, you! Help me make this the best resource for everyone who wants to build incredible software with Codex.
Getting started is simple, submit your artifacts via your Github repository. If you own the repo, it'll be auto approved, else they'll be reviewed.
Upvote your favorite artifacts. Add/remove what you like with a simple npx command.
Best part? Everything lives on Github, so you always get the latest version.
👉 codex-marketplace.com
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Azuremis retweetledi
If you love fine-tuning open-source models (like me), then listen.
> Start with 1B, 2B, 4B, and 8B models. (Don't start with a 27B model or bigger at first.)
> Use WebGPU providers. I use Google Colab Pro for any model smaller than 9B. A single A100 80GB costs around $0.60/hr, which is cheap. Enough for small models.
> Don’t buy GPUs unless you fine-tune 7 to 10 models. You'll understand the nitty-gritty in the process.
> Use Codex 5.5 × DeepSeek v4 Pro to create datasets. Codex to plan, DeepSeek v4 Pro to generate rows.
> Use Unsloth's instruct models as a base from Hugging Face. Yes, there are others too, but Unsloth also provides fast fine-tuning notebooks.
> Use Unsloth's fine-tuning notebooks as a reference. Paste them into Codex, and Codex will write a custom notebook with the configs you need.
> Spend 1 day learning about:
- SFT (supervised fine-tuning)
- RL training (GRPO, DPO, PPO, etc.)
- LoRA / QLoRA training
- Quantization and types
- Local inference engines (llama.cpp)
- KV cache and prompt cache
> Just get started. Claude, Codex, and ChatGPT can design a step-by-step plan for how you can fine-tune your first AI model.
Future tech is moving toward small 5B to 15B ELMs (Expert Language Models) rather than general 1T LLMs.
So fine-tuning is an important skill that anyone can acquire today.
Tune models, test them, use them. Then fine-tune for companies and make a career out of it. (Companies pay $50k+ to fine-tune models on their data so they can get personalized AI models.)
Shoot your questions below. I'll be sharing in-depth raw findings about this topic in the coming days.
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Azuremis retweetledi
I use a similar argument for why AI-assisted coding works, the set of "practical" computable functions (functions you can deploy to production), is a tiny subset of the set of all possible (computable) functions.
Anthony Bonato@Anthony_Bonato
What they don't tell you in calculus
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Azuremis retweetledi
