deep

Python + AI Developer | Veri analizi, mini projeler, web uygulamaları | GitHub’da açık kaynak katkıları

[deep @0xbtcdeep]

@Hakanisleten Farklı bir şey yapmadık tüm görevleri yaptık, 7k Rank vardı bende de uygun değil

[deep @0xbtcdeep]

@Goodnessvill @ofc_the_club My rank is 7000 and I've upgraded all the NFTs, so why am I not eligible?

0xAD3009A720362A00Faedf20f419de01aB269A500

[deep @0xbtcdeep]

@Kriptoakd_tr @Hakanisleten Evet

[deep @0xbtcdeep]

@Kriptoakd_tr VPNsiz açılmıyor zaten

[OneFootball Club @ofc_the_club]

As promised, New Roadmap 👇

Gradually, then suddenly.

[deep @0xbtcdeep]

@tatsu_nyc Alpha

[deep @0xbtcdeep]

@bulktrade SOL: AvgFxoL59knpCvzAWaQW793rSZ1dCf4BDzEMXGuAjNeX

Been waiting for this testnet for a while. I’ll be an active tester, push real volume, and share clear feedback/bug reports to help you ship faster.

[deep @0xbtcdeep]

@vllm_project @a16z @inferact Tweet 5/5:
Training models is expensive, but inference is where the long-term costs live. Inferact is positioned to be the backbone of the AI era by making deployment scalable for everyone. Keep a close eye on this team! ⚡️ #AI #Inferact #vLLM #MachineLearning

[deep @0xbtcdeep]

Tweet 1/5:
Huge moves in the AI infrastructure space! 🚀 The creators of the @vllm_project have officially launched Inferact, securing a massive $150M Seed round led by @a16z.
​Why is the industry buzzing about this? Let’s dive in. 👇@inferact

[Woosuk Kwon @woosuk_k]

Today, we're proud to announce @inferact, a startup founded by creators and core maintainers of @vllm_project, the most popular open-source LLM inference engine.

Our mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster.

The Challenge
Inference is not solved. It's getting harder.

Models grow larger. New architectures proliferate: mixture-of-experts, multimodal, agentic. Every breakthrough demands new infrastructure. Meanwhile, hardware fragments: more accelerators, more programming models, and more combinations to optimize.

The capability gap between models and the systems that serve them is widening. Left this way, the most capable models remain bottlenecked and with full scope of their capabilities accessible only to those who can build custom infrastructure. Close the gap, and we unlock new possibilities.

And the problem is growing. Inference is shifting from a fraction of compute to the majority: test-time compute, RL training loops, synthetic data.

We see a future where serving AI becomes effortless.

Today, deploying a frontier model at scale requires a dedicated infrastructure team. Tomorrow, it should be as simple as spinning up a serverless database. The complexity doesn't disappear; it gets absorbed into the infrastructure we're building.

Why Us
vLLM sits at the intersection of models and hardware: a position that took years to build.

When model vendors ship new architectures, they work with us to ensure day-zero support. When hardware vendors develop new silicon, they integrate with vLLM. When teams deploy at scale, they run vLLM, from frontier labs to hyperscalers to startups serving millions of users. Today, vLLM supports 500+ model architectures, runs on 200+ accelerator types, and powers inference at global scale. This ecosystem, built with 2,000+ contributors, is our foundation.

We've been stewards of this engine since its first commit. We know it inside out. We deployed it at frontier scale—in research and in production.

Open Source
vLLM was built in the open. That's not changing.

Inferact exists to supercharge vLLM adoption. The optimizations we develop flow back to the community. We plan to push vLLM's performance further, deepen support for emerging model architectures, and expand coverage across frontier hardware. The AI industry needs inference infrastructure that isn't locked behind proprietary walls.

Join Us
Through the open source community, we are fortunate to work with some of the best people we know. For @inferact, we're hiring engineers and researchers to work at the frontier of inference, where models meet hardware at scale. Come build with us.

We're fortunate to be supported by investors who share our vision, including @a16z and @lightspeedvp who led our $150M seed, as well as @sequoia, @AltimeterCap, @Redpoint, @ZhenFund, The House Fund, @strikervp, @LaudeVentures, and @databricks.

- @woosuk_k, @simon_mo_, @KaichaoYou, @rogerw0108, @istoica05 and the rest of the founding team

[deep @0xbtcdeep]

@vllm_project @a16z @inferact Tweet 4/5:
What’s the mission for Inferact?
✅ Continued support for the open-source vLLM project.
✅ Building a next-gen commercial inference engine.
✅ Optimizing AI workloads across diverse hardware (GPUs/TPUs).

[deep @0xbtcdeep]

Yalan dolan amk ne bok yedikleri belli değil

[Maran @TheMaran]

how to raise $300,000,000 and do nothing

onefootball project does this, nobody questions them

fund raise

- have a parent company, a web2 giant with 100m users

- use that company hype raise money from vcs

- don't need product, just hype enough

farming users

- build hype for web3 product with a points program

- people hate points, so start calling points as balls

- poor farmers will join multiple wallets, inflate metrics

the great exit

- promises are meant to break right?

- if anyone ask for tge, then tell next quarter

- at some point announce tge, change the time again and again

no fuds

- close dc, so that no one fuds, if anyone ask questions on x, just block them

- use an african guy instead of the official handle for communication

launch og program

- call the program "super fans"

- to get into the program ask people to support ofc both in DC and x

- the entry method should be secret so you can bring in close friends

public sale

- use the hype of $300m funding to raise $3m

- people will invest because they don't know about your intentions

i have a question for onefootball club: are you planning to launch a token this decade?

[deep @0xbtcdeep]

@cbdotxyz On-chain footprints don’t lie. We follow the signal, not the noise. 🫡

[deep @0xbtcdeep]

Timeline is loud.
I’m done asking “who’s shouting the most?”
I’m watching what the market is actually pricing.

NOISE 👇

—

Noise isn’t a typical prediction market.
It’s an “attention / relevance market”:
you can long or short what the internet will keep caring about.

Signal > Noise.

—

This isn’t just an idea, either.

📅 Jan 14, 2026
💰 $7.1M seed round
🎯 Led by Paradigm
+ backed by GSR / Figment Capital / Anagram

—

Here’s the part most people will miss:

If attention is measurable,
then narratives become tradeable.

Not vibes.
Not “trust me bro.”
A market.

—

Noise just launched a creator push on X (Twitter) — “Noisemakers”.

Mission:
Post creative tweets mentioning Noise (trend idea, mini-article, meme, shitpost — anything).

Goal:
Make as much noise as possible (measured by impressions).

Reward:
The most viral / creative posts get PRIORITY ACCESS to the upcoming private mainnet.

—

Join + submit here:

X account: @noise_xyz
Discord: https://t.co/iwIOyAoW0Z

Drop your tweet link in Discord channel: #making-noise

—

If you’re tired of hype cycles…
and want a market that prices what matters:

Noise is one to watch.

#Noise #DeFi #CryptoTwitter #Web3 #PredictionMarkets

[deep @0xbtcdeep]

I’ve been following and supporting Bulk for about 4 months, creating content and engaging with the community.

Below are some of my previous tweets as proof of my involvement 👇

https://t.co/JLTXQeZ24g
https://t.co/AjDKbH2w3r
https://t.co/REKK3okISB
https://t.co/Cxyvnau0Um
https://t.co/D7ar2ysndm

I’m not here just for an access code I aim to support the project long term and contribute as a real user. I wanted to share this together with the image I submitted.

Thanks for considering genuine supporters 🤝

#Bulk #Testnet #Web3

[BULK @bulktrade]

BULK Testnet is imminent!

We want to let a few of you in before it goes LIVE…

Interact and tell us why we should drop an access card in your DMs 👀

[deep @0xbtcdeep]

@paramuhendisim 20 ver

[deep @0xbtcdeep]

https://t.co/ueiWPGPYy5