Prompting Claude Opus 5.5
39 points and 20 comments on Hacker News, linking platform.claude.com.
Top now
6 storiesWhat is climbing fastest across every source
Image-2.16.9xMicrosoft6.7xTeleOCR7.1xNvidia7.1xQwen3.87.3xXingChen-AGI6.9xLLMs5.4xOpenAI4.8xQwen6.8xRSI4.5x
Thinking fast and slow in AI: The role of metacognition (2021)
This 2021 article examines metacognition in AI. It notes that current systems are narrow, relying on specific tasks, large datasets, and significant computational resources. ·
Quoting Muse AI Agent
An AI agent reported a failed pickup where a customer left a negative rating after the owner was absent. The agent apologized and proposed adjusting automated replies to avoid false availability claims. ·
XingChen-AGI/TeleOCR
A image text to text model from XingChen-AGI with 636 likes and 27.8k downloads on Hugging Face.
FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders
FuseReg improves representation autoencoders by training over random encoder layer subsets instead of fixed heuristics. This approach enhances both reconstruction quality and generation performance without requiring retraining. ·
Prompting Claude Opus 5.5
39 points and 20 comments on Hacker News, linking platform.claude.com.
Owed a billion dollars in Nvidia stock
A first-person account describes a 1993 stock option grant, a later discovery of a vesting error, and how the statute of limitations resolved the issue. ·
FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders
FuseReg improves representation autoencoders by training over random encoder layer subsets instead of fixed heuristics. This approach enhances both reconstruction quality and generation performance without requiring retraining. ·
RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation
Researchers introduced RayOrch, a system for preparing foundation-model training data. It manages complex data pipelines by tracking relationships between parent items and their generated children. ·
XingChen-AGI/TeleOCR
A image text to text model from XingChen-AGI with 636 likes and 27.8k downloads on Hugging Face.
SupersonicLabs/Julia-1
A text classification model from SupersonicLabs with 213 likes and 274 downloads on Hugging Face.
Prompting Claude Opus 5.5
39 points and 20 comments on Hacker News, linking platform.claude.com.
Owed a billion dollars in Nvidia stock
A first-person account describes a 1993 stock option grant, a later discovery of a vesting error, and how the statute of limitations resolved the issue. ·
FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders
FuseReg improves representation autoencoders by training over random encoder layer subsets instead of fixed heuristics. This approach enhances both reconstruction quality and generation performance without requiring retraining. ·
RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation
Researchers introduced RayOrch, a system for preparing foundation-model training data. It manages complex data pipelines by tracking relationships between parent items and their generated children. ·
XingChen-AGI/TeleOCR
A image text to text model from XingChen-AGI with 636 likes and 27.8k downloads on Hugging Face.
Edge0/Audio8-ASR-Infinite
A automatic speech recognition model from Edge0 with 1,275 likes and 19.4k downloads on Hugging Face.
Trending topics today: heat
Table
| Image-2.1 | 1.13 |
| Microsoft | 1.05 |
| TeleOCR | 0.98 |
| Nvidia | 0.97 |
| Qwen3.8 | 0.95 |
| XingChen-AGI | 0.87 |
Heat = summed hotness of today's stories naming the topic.
Models
5 storiesReleases, papers, trending weights and new listings
Top 6 trending on Hugging Face: likes
Table
| convaiinnovations/laya | 4184 |
| Qwen/Qwen-Image-2.1 | 2527 |
| abenzerps/Qwen-Image-2.1-Uncensored-GGUF | 2144 |
| XingChen-AGI/Xing4.0-29B-A4B | 1786 |
| Edge0/Audio8-ASR-Infinite | 1275 |
| Altworld/Hemmingway-1 | 750 |
PirateBench: score out of 100
Table
| opus-5-5 | 91.15 |
| gpt-6-sol | 80.94 |
| deepseek-v4-flash-0731 | 62.82 |
Agents build our own projects from a brief; every run, failures included
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14
TabPFN and TabICL are models that predict on tabular data without training. They reportedly outperformed tuned XGBoost in all fourteen tested scenarios. ·
21 points and 9 comments on Hacker News, linking efraingaray.com.
RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation
Researchers introduced RayOrch, a system for preparing foundation-model training data. It manages complex data pipelines by tracking relationships between parent items and their generated children. ·
TRACE: Temporal Audit and Condition-aware Evaluation of Streaming Video Understanding
Researchers introduced TRACE, a benchmark for streaming video models. It evaluates eight systems using 1,240 records to reveal differences in workload and response timing that standard accuracy scores hide. ·
Tactile-JEPA: Topology-Aware Self-Supervised Representation Learning for Distributed Tactile Sensors
Researchers developed Tactile-JEPA, a self-supervised method that uses sensor connectivity graphs to learn representations for distributed tactile sensors. ·
CARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation
CARD is a framework for personalizing large language models. It groups users by style, learns specific adapters, and applies individual preferences during decoding while keeping the base model unchanged. ·
RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation
Researchers introduced RayOrch, a system for preparing foundation-model training data. It manages complex data pipelines by tracking relationships between parent items and their generated children. ·
33 upvotes on Hugging Face Daily Papers.
InternW0-Δ: A World Action Model Bridging Predictive Dynamics and Actions with 20K+ Hours of Open Data
InternW0-Δ is a robot manipulation model that unifies visual dynamics and action generation. It uses a Mixture-of-Transformers architecture and a large open dataset to improve performance on simulation and real-world tasks. ·
Block Sparse Attention with Log-Linear Complexity
PISA is a block-sparse attention mechanism that uses a pyramid Top-K strategy to reduce self-attention complexity from quadratic to log-linear. It employs hierarchical key selection and hardware-aware kernels to improve efficiency for long-context language models. ·
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14
TabPFN and TabICL are models that predict on tabular data without training. They reportedly outperformed tuned XGBoost in all fourteen tested scenarios. ·
ZooWork-ShopRanker: An Open, Preference-Aligned E-Commerce Reranker
ZooWork-ShopRanker is a family of open e-commerce rerankers aligned to shopping preferences using reasoning LLMs. The models are trained on judge-labeled pairs and evaluated on a new private-traffic benchmark. ·
RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation
Researchers introduced RayOrch, a system for preparing foundation-model training data. It manages complex data pipelines by tracking relationships between parent items and their generated children. ·
33 upvotes on Hugging Face Daily Papers.
InternW0-Δ: A World Action Model Bridging Predictive Dynamics and Actions with 20K+ Hours of Open Data
InternW0-Δ is a robot manipulation model that unifies visual dynamics and action generation. It uses a Mixture-of-Transformers architecture and a large open dataset to improve performance on simulation and real-world tasks. ·
Block Sparse Attention with Log-Linear Complexity
PISA is a block-sparse attention mechanism that uses a pyramid Top-K strategy to reduce self-attention complexity from quadratic to log-linear. It employs hierarchical key selection and hardware-aware kernels to improve efficiency for long-context language models. ·
ZooWork-ShopRanker: An Open, Preference-Aligned E-Commerce Reranker
ZooWork-ShopRanker is a family of open e-commerce rerankers aligned to shopping preferences using reasoning LLMs. The models are trained on judge-labeled pairs and evaluated on a new private-traffic benchmark. ·
TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations
TrackEverything is a 3D point tracker that uses persistent scene representations to track all points over long video durations. It employs de-duplication and efficient feature sampling to avoid the limitations of existing sparse or short-horizon models. ·
X voices
5 storiesX posts other sources are linking to, then named voices on Bluesky and Mastodon
@__tinygrad__
George Hotz’s opinion on AI coding
19 points and 10 comments on Hacker News, linking an X post.
I was reflecting on how many random contingencies went into creating the current accelerating AI moment and had Opus 5.5 put together a video, inspired by old science show Connections, to try and poin
A video created by Opus 5.5 illustrates how various unrelated ideas converged to produce the current rapid development of artificial intelligence. ·
given the existence of things like embeddings and PCA, we should be able to plot the vibe shift here
The author suggests using dimensionality reduction techniques to visualize a change in AI discourse. They note that the focus has moved from debates about machine autonomy to discussions regarding model limitations. ·
@__tinygrad__
George Hotz’s opinion on AI coding
19 points and 10 comments on Hacker News, linking an X post.
@mitchellh
An agent in a loop optimizing a renderer with the goal to minimize frame times
2 points and 0 comments on Hacker News, linking an X post.
@amplifiedamp
Font where each token is equal-width
26 points and 14 comments on Hacker News, linking an X post.
@__tinygrad__
George Hotz’s opinion on AI coding
19 points and 10 comments on Hacker News, linking an X post.
@amplifiedamp
Font where each token is equal-width
26 points and 14 comments on Hacker News, linking an X post.
@mitchellh
An agent in a loop optimizing a renderer with the goal to minimize frame times
2 points and 0 comments on Hacker News, linking an X post.
GitHub
5 storiesNew repos, releases and changelog
New AI repos this week: stars
Table
| yetone/magpie | 1414 |
| mikehasa/golive-skill | 1024 |
| dzhng/jevgrep | 965 |
| ollaya-dev/ollaya | 752 |
| asokurasu/text-humanizer | 744 |
| yukitorido/short-video-generator-AI | 727 |
openai/codex 0.158.0
OpenAI released version 0.158.0 of Codex, adding features for terminal interaction, OAuth connections, and image handling. The update also includes fixes for sandbox issues on Windows, Linux, and macOS. ·
New release rust-v0.158.0 of openai/codex on GitHub.
unslothai/unsloth Flash-Attention2, Causal-Conv1D, Mamba_SSM Binaries
Prebuilt Linux x86_64 wheels for flash-attn, causal-conv1d, and mamba-ssm are available. They support CUDA 13, PyTorch 2.13 and 2.14, and Python 3.13. ·
New release prebuilt-wheels-cu13 of unslothai/unsloth on GitHub.
admte/orc-claude-plugin
This is a Claude plugin designed for the ORC8R Cloud MCP server. ·
lemomo-ai/lemo-opuscar
A repository offers thirty-nine film styles, each with a reusable prompt and a short code-generated sample. Users can select a style and use an agent to direct their own story. ·
openai/codex 0.158.0
OpenAI released version 0.158.0 of Codex, adding features for terminal interaction, OAuth connections, and image handling. The update also includes fixes for sandbox issues on Windows, Linux, and macOS. ·
unslothai/unsloth Flash-Attention2, Causal-Conv1D, Mamba_SSM Binaries
Prebuilt Linux x86_64 wheels for flash-attn, causal-conv1d, and mamba-ssm are available. They support CUDA 13, PyTorch 2.13 and 2.14, and Python 3.13. ·
New release prebuilt-wheels-cu13 of unslothai/unsloth on GitHub.
lemomo-ai/lemo-opuscar
A repository offers thirty-nine film styles, each with a reusable prompt and a short code-generated sample. Users can select a style and use an agent to direct their own story. ·
dzhng/jevgrep
This is a command-line tool for coding agents. It uses Jev to locate relevant files and source code by describing functionality. ·
feitangyuan/onetake
This is a Claude Agent Skill for creating continuous motion films for product launches and feature demos, where each segment flows seamlessly from the previous one. ·
kaankiziltug/logo-design-skill
A new repository written in HTML with 243 stars in its first week.
Data centers & energy
5 storiesBuilds, power deals and the grid
Data-center and energy stories per day
Table
| Tue 22 | 3 |
| Wed 23 | 3 |
| Thu 24 | 3 |
| Fri 25 | 20 |
| Sat 26 | 1 |
| Sun 27 | 1 |
| Mon 28 | 4 |
Stories from DCD, Data Center Knowledge, EIA and Hacker News, by publication day.
Every Household in This Rural Town Receives $10k If a Data Center Gets Built
10 points and 5 comments on Hacker News, linking wsj.com.
Energy-efficient operation of neural operators for virtual sensing
Researchers examined how reusing spatial calculations lowers energy use in virtual sensing systems. They found that higher request rates yield greater savings, with specific architectures showing distinct performance impacts. ·
When Does Advection-Aware Graph Nowcasting Help? A Controlled Study of Distributed Solar Ramp Forecasting with a Self-Supervised Cloud-Motion Estimator
A controlled study examines whether advection-aware graph neural networks improve short-term solar power ramp forecasting. It finds that explicit advection structures rarely outperform standard models, while accurate motion vectors serve as valuable input features. ·
Every Household in This Rural Town Receives $10k If a Data Center Gets Built
10 points and 5 comments on Hacker News, linking wsj.com.
AI infrastructure will define the next industrial revolution
The article argues that artificial intelligence infrastructure will shape the next industrial revolution. It notes that energy, intelligence, and digital systems are delivering widespread global benefits. ·
Energy-efficient operation of neural operators for virtual sensing
Researchers examined how reusing spatial calculations lowers energy use in virtual sensing systems. They found that higher request rates yield greater savings, with specific architectures showing distinct performance impacts. ·
When Does Advection-Aware Graph Nowcasting Help? A Controlled Study of Distributed Solar Ramp Forecasting with a Self-Supervised Cloud-Motion Estimator
A controlled study examines whether advection-aware graph neural networks improve short-term solar power ramp forecasting. It finds that explicit advection structures rarely outperform standard models, while accurate motion vectors serve as valuable input features. ·
Every Household in This Rural Town Receives $10k If a Data Center Gets Built
10 points and 5 comments on Hacker News, linking wsj.com.
Oracle cites 'force majeure' to shield itself on controversial data center
150 points and 150 comments on Hacker News, linking bloomberg.com.
AI infrastructure will define the next industrial revolution
The article argues that artificial intelligence infrastructure will shape the next industrial revolution. It notes that energy, intelligence, and digital systems are delivering widespread global benefits. ·
Efforts to Curb Data Center Speculation Gain Ground Across the US
US states are implementing measures like large-load tariffs to reduce speculative data center projects amid growing public opposition. ·
Hardware prices
2 storiesGPUs, memory, and what tokens cost
Output price, $ per million tokens (newest models)
Table
| perceptron-mk1.5 | 1.5 |
| ember-1 | 15 |
| glm-5.3-prime | 8.8 |
| qwen3.8-max-prime | 12 |
| aion-3.5-mini | 1.4 |
| median, all paid models | 2 |
431 paid models listed; median of the 52 added in 30 days: $4.01. Rankings data by OpenRouter, CC BY 4.0.
Virtio-nvgpu: Near-native Nvidia GPU access inside a KVM guest
An experimental project provides a virtio device that allows KVM virtual machines to access NVIDIA GPUs with near-native performance. ·
155 points and 65 comments on Hacker News, linking github.com.
Raspberry Pi blocks changing RAM chips
258 points and 211 comments on Hacker News, linking forums.raspberrypi.com.