how hackers start their afternoons. where 50k+ technologists publish blog posts for 4M+ monthly readers. write your story 👉https://xitter.cf/t.co/PGmtSCSd5V
Colorado, USA
Joined April 2016
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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.
HackerNoon | Learn Any Technology retweeted
Individuals and early-stage startups can enter, whether launching something new or building on a current project.
Concept-stage ideas with clear technical direction are welcome too.
HackerNoon | Learn Any Technology retweeted
Entering the hackathon takes one published post. The Blog It generator guides you through topic, context, and strategy, then drafts it with an open-source model.
Writers who prefer to write their own words can submit directly on HackerNoon.
HackerNoon | Learn Any Technology retweeted
Arweave keeps data immutable, permanent, and publicly accessible, which suits AI work that needs a reliable record.
Model weights, datasets, and provenance records fit onchain, as do ideas like verifiable AI and open inference. @aoTheComputer projects fit right in.
HackerNoon | Learn Any Technology retweeted
Round 1 runs until October 31, 2026. Round 2 opens in November and closes in February 2027. You’re welcome to enter both.
As an added incentive, the grand prize winner also receives the hackathon's website domain and codebase.
HackerNoon | Learn Any Technology retweeted
Entering is an opportunity to spread permaweb awareness. Arweave and AO suit AI applications well.
If your entry gets published, make sure to let us know. We’d love to feature it in a future newsletter.
Enter here: decentralizeai.tech
