how hackers start their afternoons. where 50k+ technologists publish blog posts for 4M+ monthly readers. write your story 👉https://xitter.cf/t.co/PGmtSCSd5V
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HackerNoon | Learn Any Technology retweeted
hackathon alert: decentralize AI hackathon
$51,750+ in prizes and credits for developers building open, transparent and decentralized AI infrastructure.
@hackernoon , @nosana_ai , @ArweaveEco and @MEXC are hosting a global competition focused on making AI more open, verifiable and user-owned.
- round 1 deadline: oct 31, 2026
- round 2: nov 2026 - feb 2027
- location: online, worldwide
- entry: free
- prize pool: $51,750+ in rewards and credits
- individual developers and early-stage startups welcome
what can you build?
- decentralized GPU compute and orchestration
- AI agents and open inference systems
- verifiable and reproducible AI
- decentralized model and dataset storage
- privacy and data sovereignty tools
- federated training and local AI
- open-source AI developer infrastructure
unlike traditional hackathons, submissions are made through technical blog posts published on HackerNoon.
how to participate:
- build a new project or extend an existing one
- publish a HackerNoon article explaining your idea, architecture, experiments or results
- include at least one eligible hackathon tag
- share working code, demos and technical evidence
- publish progress updates as you build
concept-stage ideas with a clear technical direction are accepted, but working implementations and verifiable results strengthen your chances.
prize breakdown:
- $35,000 in Nosana compute credits for 500 eligible participants
- $6,750 in additional Nosana rewards for 15 winners
- $2,500 in Arweave storage credits
- $2,500 in AR prizes
- $5,000 in MEXC token rewards
- grand prize: ownership of the decentralizeai.tech domain and its open-source platform codebase
important:
- multiple entries and progress updates are allowed
- existing projects can be extended
- sponsor rewards may require specific tags and follow-up posts
- some token rewards are restricted by jurisdiction
- judging considers technical depth, originality, impact, reproducibility and quality of documentation
if you're building AI agents, decentralized infrastructure, DePIN, open-source models or verifiable AI systems, this is worth exploring.
submissions are open.
decentralizeai.tech/
HackerNoon | Learn Any Technology retweeted
a hackathon where the submission is writing, not code
Decentralize AI by HackerNoon. you write about decentralized AI, and there's compute from the sponsors to actually build what you're writing about
➤ $51,750+ prize pool
➤ $35,000 in AI compute credits for participants
➤ Round two runs November 2026 to February 2027
➤ Half the pool awarded per round
➤ Extra $450 pool for a follow-up post showing what you built with the credits
decentralizeai.tech
HackerNoon | Learn Any Technology retweeted
#RSS breaking is still a real bug in 2026. I love that RSS has survived long enough for that to remain true.
Sorry about the downtime. hackernoon.com/feed and all topic feeds are operational again.
A few of my favorites:
hackernoon.com/tagged/hacker…
hackernoon.com/tagged/ai/fee…
hackernoon.com/tagged/scienc…
HackerNoon | Learn Any Technology retweeted
From fake games to malicious extensions and cryptojacking, crypto-stealing malware is getting sneakier. Here’s what to watch for before it hits. @hackernoon
hackernoon.com/5-new-crypto-…
HackerNoon | Learn Any Technology retweeted
The charts only show the capital deployed, not the physical reality.
Spending billions on construction means nothing if the facility is sitting in a 5-year transmission queue.
The true metric of AI expansion isn't construction spending—it's secured megawatts.
HackerNoon | Learn Any Technology retweeted
Beyond Generative AI: The Enterprise AI Opportunities Businesses Shouldn't Overlook Via @hackernoon ow.ly/qq6550ZZncm #AI #GenAI #JeffSAIPost
HackerNoon | Learn Any Technology retweeted
New client Terra Security with new podcast launch!
Shahar Peled interviewing CJ Moses.
Must watch, hear, etc.
Covered from HackerNoon to TNW to Business Insider to NYSE and more!
LFG!
HackerNoon | Learn Any Technology retweeted
Want to build a new bridge on Counterstake or earn rewards as an assistant? Here’s how to get started and help power smoother cross-chain transfers. @hackernoon
hackernoon.com/how-to-create…
HackerNoon | Learn Any Technology retweeted
AI bias is measurable, and we should test for it.
I explored how bias shows up in LLM embeddings, prompts, and generated text, with practical ways to audit it.
Read my new article on @hackernoon
#AI #ResponsibleAI #MachineLearning
hackernoon.com/testing-llm-b…
HackerNoon | Learn Any Technology retweeted
I Searched 6,000 Leaked Claude Chats. What I Found Was Worse Than Passwords | HackerNoon hackernoon.com/i-searched-60…
HackerNoon | Learn Any Technology retweeted
THIS / THAT Model, our open-source decision model built with @Alibaba_Qwen and @alibaba_cloud, is covered on CSDN and @hackernoon.
It processes decisions with a fixed set of answers on your own hardware, with no cloud call in the loop.
Here’s what the coverage highlights ⤵️
Decision models are fast becoming a dependable layer in AI agents and apps, helping them call tools, route requests, or run commands in near real time.
We train ours on @Alibaba_Qwen models and @alibaba_cloud infrastructure, backed by our ACL 2026 research on reliable synthetic data.
The result is THIS / THAT Model, an open-source decision model that beats much larger models in accuracy and speed.
Here's how👇
HackerNoon | Learn Any Technology retweeted
@hackernoon highlighted local deployment.
Built on Qwen3.5 2B with 1.88B parameters, the model runs on a laptop GPU in about 31.4 ms per decision. The data stays on the device making the decision, which matters for teams in regulated sectors.
hackernoon.com/flockio-launc…
HackerNoon | Learn Any Technology retweeted
THIS / THAT on @hackernoon
What if AI could make decisions in milliseconds without sending data to the cloud?
@flock_io's open-source THIS/THAT model runs locally on edge devices, delivering low-latency inference for structured decisions: hackernoon.com/flockio-launc…
HackerNoon | Learn Any Technology retweeted
Looks like llms.txt is a low effort signal that rarely moves rankings, so prioritize core content over the file
HackerNoon | Learn Any Technology retweeted
Good roundup. vLLM and SGLang get the headlines, but GPU autoscaling is usually where the serving bill is won or lost.
HackerNoon | Learn Any Technology retweeted
Why Knowledge Graphs and Ontologies Are Making a Comeback in the Age of AI #seo #geo
hackernoon.com/why-knowledge…
@hackernoon
HackerNoon | Learn Any Technology retweeted
The @hackernoon Decentralize AI Hackathon is open to anyone with a vision for open AI, and Round 1 closes soon.
Here’s how it works and what @ArweaveEco brings along.
🧵👇
HackerNoon | Learn Any Technology retweeted
The Arweave ecosystem joins Nosana and MEXC as main sponsors, with HackerNoon hosting.
The prize pool tops $50k across two rounds. Arweave’s 2,000 $AR splits evenly between prizes and permanent storage credits.
