Aleksei retweeted
兄弟们，又挖到一个免费 VPS 羊毛！
这配置有点东西，重点是不用绑信用卡，一人最多能开 5 台！！！
💻 单台机器配置：
- ⚡ 4 vCPU
- 🧠 8GB RAM
- 💾 20GB 存储
- 🌎 美国俄勒冈机房
- 🎁 最多可创建 5 台
🔗 申请地址： instabox.sh
上车教程：
1️⃣ 打开官网，先注册账号。
2️⃣ 注册后如果提示邀请码，不用急，等官方邮件发放，一般几个小时左右。
3️⃣ 拿到邀请码后就能创建 VPS，生成 SSH Token 后，可以交给 AI 工具协助部署环境。
4️⃣ 不管是搭建自己的开发环境、折腾 Agent，还是测试各种项目，都可以试试。
⚠️ 几个坑提前说一下：
🔸 SSH Token 有效期 30 天，记得及时续期。
🔸 机器长期闲置可能被平台回收。
🔸 自带 IP 质量一般，对 IP 有要求的建议自行配置。
🔸 免费资源和名额随时可能变化，以官网实际规则为准。
🤣 以前是花钱买服务器折腾，现在是服务器白送，反而不知道拿来干什么了。
速冲！！！
#VPS #免费VPS #云服务器 #AI工具 #薅羊毛
Aleksei retweeted
FREE .TECH DOMAIN FOR 1 YEAR
get your own domain without paying for the first year
how to claim
- visit get.tech
- search for your domain and add it to cart
- enter code "hacktoberfestd0b805"
- turn off privacy protection and complete checkout
note: free for the first year, so claim it before the offer ends
Aleksei retweeted
DeepSeek V4.1 Flash UNCENSORED is FREEE 😳
no jailbreak needed, straight up uncensored
what you get:
- DeepSeek V4.1 Flash uncensored
- 1.05M context
- 60 tok/s, tested
try it here: platform.xplabs.ai
WTFFF, someone dropped a fully jailbroken iphone virtual machine 😳
it runs on your mac. no spare iphone.
open source and FREE
here is how you set it up:
1. recovery mode → csrutil enable --without debug → csrutil allow-research-guests enable
2. install vphone launchpad → host setup → core bundle
3. machines → new machine → create
done. a jailbroken iphone on your mac
needs apple silicon + macos 15
Aleksei retweeted
谁把教材上传Arxiv了？
《Agentic Large Language Models》（智能体大语言模型）：来自荷兰莱顿大学的AI教材，内容涵盖大模型工作原理、Agent原理等相关AI内容，共472页。
地址：arxiv.org/abs/2610.13455
Aleksei retweeted
Introducing Indra, a 1M parameter OCR model:
- 49 pages/s on CPU, 11x faster than PaddleOCR and 17x Tesseract
- Beats them on OmniParseBench text (41.3 vs 35.8 and 19.3)
- Full layout and line bounding boxes
Aleksei retweeted
🎉白嫖预警！Cursor Pro 这次不用学生证
MLH 这周办 Global Hack Week，官方挑战原话：这周用 Grok Bot 搞开发？先送你个免费 Cursor Pro。13 岁以上、上班族都能报。
🔥步骤极简（懒得点，整条丢给 Grok Bot）
1. 打开 mlh.link/ghw，登录 MyMLH 报名 Hacktoberfest
2. 等 MLH 发来的兑换码邮件
3. Cursor 后台 Billing & Invoices 兑换，再手动升级 Pro
over！
懒人版：让 Grok Bot 替你报名，复制这句发给它👇🏻
"打开 mlh.link/ghw，帮我报名 MLH Global Hack Week: Hacktoberfest。遇到登录、邮箱验证码、勾选协议的地方停下来让我自己操作，别替我点同意，也别问我要密码。报完截图给我。"
登录那步点 Open computer 自己输，Bot 看不到密码。
顺便说一句，这期挑战 3 到 7 就是教你用 Grok Bot，报完能接着刷分。
10 月 16 日凌晨 1 点（北京时间）截止。
兄弟们，速度冲！
Aleksei retweeted
how to claim $4000 credits for $0
gmail gets rejected they want your own domain and matching work email
domain is ~$10. email is free. one site, three more applications
> buy the domain + get the email
- grab a .com on cloudflare domains (~$10)
- turn on whois privacy
- set up free email (zoho free works)
- add mx/spf/dkim
- create [email protected]
- make a simple 1 page site that loads and explains what you actually build
> google cloud start tier = $2,000
> go to: cloud.google.com/startup/pre…
- founded in last 24 months
- working mvp + clear business model
- planning to seek vc
- website domain, email domain, and billing account email must all match
- have your 18 character billing account id ready
- 12 months. a few business days (longer if manual)
> aws activate founders = $1,000 (select up to $5k)
> go to: aws.amazon.com/startups/cred…
- self funded, pre series b, founded last 10 years
- make a builder id with your professional email
- link an aws account on the paid plan (free tier doesn’t qualify)
- they ask about product, funding stage, company profile
- 5 - 10 business days
> deepgram = $1,000 starter (up to $100k possible)
> go to: deepgram.com/startup-program
- live or launching within 6 months
- make a deepgram account first
- keep your project id handy
- ~1 week review, then 24 - 48 hrs to land
- 12 months
> extra ones worth stacking
- azure self serve: $1k now + $4k after business verification (new azure account)
- cloudflare for startups: bootstrapped tier still exists (~$5–10k range)
- oracle for startups: $500 + 70% off for 2 years
- claude for startups: open to bootstrapped, but the free team + $1k credits are currently over capacity
> things you need to know
- 2k + 1k + 1k = $4k base. azure can push it higher
- google is discretionary. no agencies, consultancies, personal blogs, crypto mining, or token projects against local rules
- aws: count on the $1k. the extra up to $5k is select only
- credits expire. google + deepgram are 12 months. aws dates show in billing
> what not to do
- don’t apply from gmail or free email
- don’t fake a company or park a domain with no site
- don’t apply as an agency, dev shop, or consultancy
- apply != approved. these are for real products, build real products
one domain. matching work email. working site. stack the rest
bookmark this. terms change often. read each page before you apply. good luck.
Aleksei retweeted
passo a passo de como que eu consegui entrar no programa de startups do claude
1. cria uma conta nova e com dominio corpotativo (seu dominio proprio)
2. preencha os dados do onboarding
3. entre no link claude.com/programs/startups
4. preencha os dados, explique o proposito da sua empresa, resposta séria
5. você talvez não receberá email, mas o seu status vai mudar para "VERIFIED"
6. clique em "claude startups"
7. vai aparecer para pagar, mas tem um botão "SKIP FOR NOW"
8. agora clique no seu perfil no canto inferior esquerdo
9. clique em "CLAIM GIFT"
10. na primeira caixa, vai ter como dar CLAIM
Aleksei retweeted
hotpath-rs 是一个帮开发者找出 Rust 程序为什么慢、内存花在哪里的工具。它能检查哪些代码最耗时、数据库查询和网络请求是否拖慢了程序，以及多个任务有没有互相等待。结果会显示在实时面板和报告中，帮助开发者判断该优先优化哪里，也能交给 AI 助手辅助分析。
github.com/pawurb/hotpath-rs
Hey please do somthing not for 1 day prompt but for big and long marathon project like open-gsd/gsd-pi
Aleksei retweeted
I’m happy to share that our team's work on PiPNN—an ultra-scalable algorithm for high-dimensional Nearest Neighbor Search—has won three awards at KDD’26, VecDB’26, and SISAP’26 with up to 78x speedup on index build. Nearest-neighbor search is fundamental to deduping in data curation and embedding-driven retrieval for RAG for LLMs. It is great to see our work recognized across the community:
Best Paper at KDD’26: PiPNN: A Framework for Ultra-Scalable Graph-Based Nearest Neighbor Indexing. This paper introduces the PiPNN framework, which delivers an order-of-magnitude speedup for building navigable proximity graphs. (dl.acm.org/doi/10.1145/37708…)
Best Paper at VecDB’26: Turbocharging PiPNN for Proximity and 𝑘-NN Graph Building. The paper improved the original PIPNN kernels, resulting in an additional 8x speedup (up to a 78x total speedup!), and introduced a highly optimized GPU version. (openreview.net/forum?id=8Gzb…)
1st Place at the SISAP’26 Challenge: Our PiPNN-based solution ranked 1st for Task 1, which challenged teams to develop the fastest k-NN graph building algorithm. (sisap-challenges.github.io/2…)
Nearest-neighbor search is an important part of Data Curation for LLMs, and retrieval for RAG pipelines, and it only becomes more important as we move to more long-horizon agents and handling long-context inference-time scaling.
Congratulations to the team behind this work: Tobias Rubel, Richard Wen (UMD), Guy Blelloch, Laxman Dhulipala, Lars Gottesbüren(github.com/larsgottesbueren), Jakub Łącki, and Vahab Mirrokni.
Aleksei retweeted
we are offering bug bounties of up to $300k if you manage to exploit Muse. bug bounty program is here bugbounty.meta.com/ and more details about our approach to making Muse secure are here security.muse.ai
Aleksei retweeted
最近看了一篇很好玩的 paper：How to Write to SSDs
vldb.org/pvldb/vol19/p1469-l…
论文讲的是 write amplification 和 DB/SSD co-design，却让我重新想起了经典的 Law of Leaky Abstractions：
joelonsoftware.com/2002/11/1…
DBMS 以为自己优雅地写了一个 page，SSD 却在地下室忙着 FTL、GC 和搬家，最后一次 logical write 变成了好几次 NAND write。
Architecture must follow hardware.
抽象可以关上地下室的门，但不能让地下室消失。物理定律也不会因为 API 设计得好看就下班。
Aleksei retweeted
Every question on this benchmark ships with a list of the papers that count as correct, and those lists are incomplete.
We measured the gap on one question that asks for papers meeting a set of metadata conditions. Running those exact conditions over the corpus ourselves turned up 1,578 papers that satisfy all of them. The question's answer list holds 171, so a system that returns any of the other 1,407 qualifying papers is charged a mistake for each one.
The score also divides by a fixed target count rather than by the number of papers that actually qualify, so a question with many correct answers cannot be fully credited even by a perfect system. Every entry on the board pays these penalties, which is why published numbers run lower than they look and why the gaps between the leaders are small.
We report on the benchmark anyway, because a flawed measure that every system runs still lets you compare them, and a private one lets you compare nothing. IRIS is open source, and you can run it on Rasyn now.
IRIS is now available on Marigold for you to try: app.rasyn.ai
HuggingFace: huggingface.co/rasynai/rasyn…
Aleksei retweeted
🚨ANTHROPIC ESTÁ PAGANDO $3,850/SEMANA A PERSONAS SIN EXPERIENCIA EN ML.
Y más del 50% acaba trabajando en Anthropic.
Se llama Anthropic Fellows Program.
Dura 4 meses y te pagan semanalmente, además de darte financiación adicional para cómputo.
Lo interesante es que no necesitas un doctorado, experiencia en ML ni publicaciones previas.
Solo necesitas:
→ Saber Python
→ Resolver problemas ambiguos
→ Aprender rápido
Un investigador de Anthropic te propone varias ideas de proyecto.
Eliges una y la desarrolláis juntos durante 4 meses, haciendo investigación real sobre seguridad de IA.
Los resultados son bastante absurdos:
→ +80% de la primera convocatoria publicó un paper
→ +50% terminó trabajando en Anthropic
Hay 6 tracks abiertos ahora mismo, con opciones en San Francisco, Londres, Ontario y REMOTO.
Aplicar es gratis y puedes hacerlo en una tarde.
Dentro de 4 meses podrías estar investigando para Anthropic sin haber tenido experiencia previa en ML.
Aplica hoy mismo: job-boards.greenhouse.io/ant…
Aleksei retweeted
Causal AI and Bayesian Networks (680-page PDF eBook): web4.cs.ucl.ac.uk/staff/D.Ba…
+
Get a print copy here: amzn.to/4t1aLTC
———————
#DataScience #ML #MachineLearning #Causality #Inference #DataScientist
