HackerNews
Breaking AI Orchestration: Hijacking N8n HITL Chat Sessions
Article URL: https://zerolabs.rubrik.com/blog/breaking-ai-orchestration-part-2-hijacking-n8n-hitl-chat-sessions
Comments URL: https://news.ycombinator.com/item?id=49321627
Points: 1
# Comments: 0
HackerNews
AI and the Changing Future of Mathematics
Article URL: https://www.understandingai.org/p/mathematicians-are-grappling-with
Comments URL: https://news.ycombinator.com/item?id=49321638
Points: 2
# Comments: 0
HackerNews
Publishing: What's Worse Than AI Slop? Trad Slop
Article URL: https://novelarcade.substack.com/p/whats-worse-than-ai-slop-trad-slop
Comments URL: https://news.ycombinator.com/item?id=49321737
Points: 1
# Comments: 0
HackerNews
AI won't solve the work-theater problem
Article URL: https://think-twice.me/?p=102
Comments URL: https://news.ycombinator.com/item?id=49321743
Points: 2
# Comments: 0
HackerNews
AgentShield – Offline Rust security scanner for AI agent tools and MCP (<50ms)
Article URL: https://github.com/aiconnai/agentshield
Comments URL: https://news.ycombinator.com/item?id=49321810
Points: 1
# Comments: 0
HackerNews
AI Can Guess Your Location from Social Media Photos with 87% to 91% Accuracy
Article URL: https://www.macobserver.com/news/ai-can-guess-your-location-from-social-media-photos-with-87-to-91-accuracy/
Comments URL: https://news.ycombinator.com/item?id=49321857
Points: 4
# Comments: 0
HackerNews
Why all AI content sounds the same (and how to fix it)
Article URL: https://dreasays.substack.com/p/why-all-ai-content-sounds-exactly
Comments URL: https://news.ycombinator.com/item?id=49322037
Points: 2
# Comments: 1
HackerNews
AI is not just one bubble, strategist says – but a 'rolling sequence of bubbles'
Article URL: https://fortune.com/2026/08/16/ai-bubble-sequence-saas-software-stocks-silver-prices-chipmakers/
Comments URL: https://news.ycombinator.com/item?id=49322233
Points: 5
# Comments: 1
HackerNews
Evaluating AI Agents as Products
Article URL: https://www.marble.onl/posts/evaluating_ai_product_quality.html
Comments URL: https://news.ycombinator.com/item?id=49322281
Points: 2
# Comments: 0
HackerNews
HEP-TH and AI
Article URL: https://www.math.columbia.edu/~woit/wordpress/?p=15818
Comments URL: https://news.ycombinator.com/item?id=49322322
Points: 2
# Comments: 0
HackerNews
Ask HN: Is classical AI still relevant because modern AI uses it as tools?
So basically modern AI using classic AI is like a human using a calculator?
Comments URL: https://news.ycombinator.com/item?id=49322324
Points: 1
# Comments: 0
HackerNews
The AI store manager fired its first human
Article URL: https://thenextweb.com/news/andon-market-luna-ai-store-manager-fires-employee
Comments URL: https://news.ycombinator.com/item?id=49322350
Points: 6
# Comments: 3
HackerNews
Xaidr – In-process runtime security and governance for AI agents
Article URL: https://github.com/delphisecurity/xaidr
Comments URL: https://news.ycombinator.com/item?id=49322372
Points: 2
# Comments: 0
HackerNews
U.S. to tell partners they must pick sides in AI race with China
Article URL: https://www.cnbc.com/2026/08/15/us-to-tell-allies-they-must-pick-sides-in-ai-race-with-china-reuters.html
Comments URL: https://news.ycombinator.com/item?id=49322511
Points: 4
# Comments: 1
HackerNews
Has somebody found a way to reduce AI idiomatics tics?
So much to read, even for a simple fix or feature. Things like "gate X behind Y", "surface", "escape hatch" and many complexe english wordings that make one mad. I've head a bout an effective proxy py solution but not remember the name of it
Comments URL: https://news.ycombinator.com/item?id=49322520
Points: 2
# Comments: 0
HackerNews
Low-regret recommendations for AI policy
Article URL: https://www.noahpinion.blog/p/23-low-regret-recommendations-for
Comments URL: https://news.ycombinator.com/item?id=49322702
Points: 1
# Comments: 0
HackerNews
AI Stock Research Assistant · Streamlit
Article URL: https://ai-stock-research-kiaan.streamlit.app
Comments URL: https://news.ycombinator.com/item?id=49322768
Points: 1
# Comments: 0
HackerNews
Mathematics in the Age of AI – Terence Tao
Article URL: https://www.youtube.com/watch?v=M0--ZH1lOzg
Comments URL: https://news.ycombinator.com/item?id=49322814
Points: 2
# Comments: 0
HackerNews
LinkedIn Wants Users to Lean Less on AI. Maybe Less
Article URL: https://www.wsj.com/cmo-today/linkedin-wants-users-to-lean-less-on-ai-maybe-a-lot-less-8e03b2aa
Comments URL: https://news.ycombinator.com/item?id=49322821
Points: 2
# Comments: 1
HackerNews
Stripe Nears Deal to Buy AI Firm OpenRouter for over $7B
Article URL: https://news.bloomberglaw.com/mergers-and-acquisitions/stripe-nears-deal-to-buy-ai-firm-openrouter-for-over-7-billion
Comments URL: https://news.ycombinator.com/item?id=49323032
Points: 2
# Comments: 0
Reddit
ICDM 2026 Results Waiting Place [D]
The results should be out soon. Let’s share them, guys. From my batch (Applied Track) Total 13 submissions: - 2 full papers - 1 short paper accepted Cheers!
Reddit
Revisiting the Efficient Channel Attention paper (2019, 12k citations) - the central hypothesis isn't quite right [D]
ECA was positioned as a successor to SE . The idea behind ECA is quite simple. Unlike SE which reduces the channel means into a smaller hidden layer, it directly uses a 1d convolution kernel on the channel means themselves, avoiding the need for dimensionality reduction. The results are undeniable: ECA is a clear improvement over SE. The authors claim that cross-channel interaction is a key ingredient. But on a conceptual level, the design of ECA doesn't make much sense. Let's take a step ...
![Survival of the Fitted: Qwen3.6-27B’s Jacobian lens reads and steers Qwen3.8-27B with zero refitting [R]](https://preview.redd.it/49qcp6szzkjh1.jpeg?width=640&crop=smart&auto=webp&s=3a9f5c5e0c028e8d98994f2b827853953eb7d529)
Reddit
Survival of the Fitted: Qwen3.6-27B’s Jacobian lens reads and steers Qwen3.8-27B with zero refitting [R]
Interpretability lenses get fitted to one exact checkpoint, and as far as I can tell nobody had tested what a version update does to one. So this was my question: when a model line updates, does the fitted instrument survive, or do you refit every release? I tested the published Jacobian lens for Qwen3.6-27B (Neuronpedia, from Anthropic’s July workspace paper) applied unchanged to Qwen3.8-27B. Setup: 3.8-27B shipped 113 days after 3.6-27B. Same 64 layers, same hidden dim, same tokeni...
Reddit
How can we solve long-range recall in linear attention? [D]
Recently, I started working on DNA sequence modeling and decided to explore linear attention , mainly because DNA sequences can easily reach 1M tokens , making standard softmax attention extremely expensive in terms of memory and computation. The model performed reasonably well on several benchmarks, but I ran into a major problem with long-range recall . On a Needle in a Haystack-style benchmark, my model was performing around 25% or even below , which is essentially random chance for a f...
![Dataset: Starfield Fauna - 20,000 images in 50 species categories. [P]](https://preview.redd.it/xg0grozpwkjh1.png?width=640&crop=smart&auto=webp&s=4ca48cc3702227f04371e5debdd07f8acd4ca785)
Reddit
Dataset: Starfield Fauna - 20,000 images in 50 species categories. [P]
Repo with dataset links: https://github.com/tesselwait/Starfield_Fauna Image classification dataset: 20,000 images from 50 fauna species in the video game Starfield. Images were extracted from video capture. About 2 minutes of footage was shot in all or most of the species biomes. One minute of daytime and nighttime footage respectively, usually in two 30-second takes to vary the background. A PowerShell script is used to establish a frame extract rate and extract the 400 frames plus some e...
![SSOG-Attention: Sum Of Separable Gaussians as a sub-quadratic and scalable alternative to SDPA. [R]](https://preview.redd.it/pepwlp93opjh1.gif?width=320&crop=smart&s=2c59acf93fb52e53083ca4ef7d9885451e6c387b)
Reddit
SSOG-Attention: Sum Of Separable Gaussians as a sub-quadratic and scalable alternative to SDPA. [R]
Scaled dot-product attention (SDPA) computes its Attention by computing the similarity-scores of all image-tokens with all query tokens which results in O(N²·d) complexity. SSOG (Sum Of Separable Gaussians) instead learns a few Gaussian atoms for each head and only geometrically steers them based on the query token. Since the atoms can be factorized into a separable sum of Gaussians this leads to a reduced complexity of O(N·√N·d). Experiments show that SSOG clearly beats SDPA on small...