AI Intelligence Archive
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ResearchOrdinary
Latent Compaction with Test-Time Training
Long contexts enlarge key--value (KV) caches, increasing memory use and attention costs during generation. Compressing these caches must preserve information for unseen questions. We introduce **Latent Compaction**, which learns a compact …
Source: arXiv · Qwen
ResearchOrdinary
One Task, Many Interfaces: Simple Cross-Interface Consistency Training Improves LLM Agent Robustness
Post-training binds the competence of an LLM agent to the interface it was trained on. Semantics-preserving perturbations of that interface, such as renaming an action or changing the notation, leave the underlying task unchanged yet make …
Source: arXiv
ResearchOrdinary
Beyond LLM Judge: Mechanical Verification for Agentic Autoformalization
We introduce a novel method for verifying Lean formalizations that goes beyond LLM-judged faithfulness. Unlike most verification methods, which rely on LLMs or trained models, our method combines LLM-based semantic review with mechanical n…
Source: arXiv
ResearchOrdinary
Recovering Reliable Supervision via Critique-Guided On-Policy Distillation
On-policy distillation (OPD) trains a student model on its own rollouts with token-level supervision from a teacher, assuming that the teacher can reach a correct answer from any prefix the student writes. We call this property the recover…
Source: arXiv · Qwen
ResearchOrdinary
Manacá-1B-Instruct-2: Reproducible Safety Alignment for a Native Brazilian-Portuguese LLM. Negative DPO Results, a Controlled Composition Scan, and a Silent Failure Mode of the LL…
Brazilian Portuguese remains underserved by open-source language models, and the few that are safety-aligned rarely document what did not work or validate comparisons with statistical significance. We present Manacá-1B-Instruct-2, the seco…
Source: arXiv
ModelsOrdinary
https://x.ai/news/grok-voice-3#used-by-millions-of-customers-at-tesla--spacex
https://x.ai/news/grok-voice-3#used-by-millions-of-customers-at-tesla--spacex
Source: X:Lauren Tan(SpaceXSI,Grok Bot 工程负责人) (@poteto) · Grok
ResearchOrdinary
Scaling Discovery Requires Forgetting
Automated research with LLM agents has shown promising results in various domains. Through iterative refinement and scored verifiers, LLM agents are capable of discovering new ideas. There are different ways to scale automated research: le…
Source: arXiv
ResearchOrdinary
PhySGA: A Physics-Space Grounded Agentic Framework for Generalizable and Interactive 3D Composition
3D object composition is pivotal to digital content creation and robot simulation, while also serving as a critical testbed for physical intelligence in foundation models. Previous methods either leverage large language models to directly …
Source: arXiv
ResearchOrdinary
PerSo: Investigating Facets of LLMs' Social Intelligence in Real-World Persuasion Scenarios
Understanding the social intelligence of large language models (LLMs) is increasingly important for applications involving human-AI interaction and multi-agent environments. Social intelligence comprises two aspects: cognitive intelligence…
Source: arXiv
ResearchOrdinary
Detection of Potato Plant Leaf Diseases using Convolutional Neural Networks
Potato is an important food-security crop in Ethiopia, but its production is affected by foliar diseases, particularly early blight and late blight. This study develops a lightweight convolutional neural network (CNN) to classify potato le…
Source: arXiv
ResearchOrdinary
PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis
Multimodal code intelligence connects the symbolic world of programs with the visual world their execution creates. Interest in this capability is burgeoning, as models are increasingly asked to produce charts, webpages, animations, and se…
Source: arXiv
ResearchOrdinary
Revisiting Simple Baselines for Relational Deep Learning
Relational deep learning has emerged as a powerful paradigm for learning end-to-end predictive models over relational databases by representing them as temporal heterogeneous graphs. Recent advances based on graph neural networks and Trans…
Source: arXiv
ResearchOrdinary
Generative Representation Learning for Scalable Latent Tokenization
We introduce an approach for self-supervised representation learning designed to be used as a tokenizer for generative modeling. Our objective supervises a representation loss by factorizing the pointwise mutual information of the data, wh…
Source: arXiv
ModelsOrdinary
ARC Prize 排行榜收录 Claude Haiku 5.5
@AnthropicAI - 排行榜:https://arcprize.org/leaderboard - 复现公开结果:https://github.com/arcprize/arc-agi-benchmarking - 测试政策:https://arcprize.org/policy - Haiku 5.5 完整结果:https://arcprize.org/results/anthropic-claude-haiku-5-5
Source: X:ARC Prize (@arcprize) · Claude
ModelsOrdinary
xAI 的 Grok Bot 被用于替代 Dots 和 Muse 运营业务
Cool (引用推文Stories:grok bot pretty much replaced dots and muse for running my business... here is why : insanely simple to set up, a MASSIVE plugin library, generous usage. here's everything i use and what it costs: required ($165/mo + whop's cu…
Source: X:Elon Musk (@elonmusk, xAI) · Claude / Grok / Cursor
PerspectivesOrdinary
https://x.com/i/broadcasts/1AJEmvrjaaXJL
https://x.com/i/broadcasts/1AJEmvrjaaXJL
Source: X:OpenClaw (@openclaw)
TutorialsOrdinary
I built an AI that writes resale listings — then refuses to publish the ones it can't prove
My entry for the Hacktoberfest Open-Source AI Challenge, Week 2 (Side Hustle). A reseller I know got...
Source: DEV Community
ProductsOrdinary
fal 上线 Mirelo SFX2.0 音效Models
今天就可以在这里试用,前两个月 33% 折扣。 Video to Video: https://fal.ai/models/mirelo-ai/sfx2.0/video-to-video Video to Audio https://fal.ai/models/mirelo-ai/sfx2.0/video-to-audio Text to Audio: https://fal.ai/models/mirelo-ai/sfx2.0/text-to-audio
Source: X:fal (@fal)
TutorialsOrdinary
A Data Company in an AI World
Anekha Sokhal spent nearly a decade trading energy derivatives at JP Morgan, then came to the US on a...
Source: DEV Community
TutorialsOrdinary
The AI Data Paradox: The Safer You Make the Data, the Worse the AI Gets
AI engineers spend enormous amounts of time tweaking small things to achieve bigger gains. Energy is...
Source: DEV Community
TutorialsOrdinary
An Agent’s Plan Isn’t Permission
When a coding agent investigates a production bug, it might need to read a repository, query logs,...
Source: DEV Community
TutorialsOrdinary
Inside the $30-a-Week Self-Improving Agents Eliminating Enterprise Back-Office Friction
In the high-stakes world of enterprise AI engineering, the default assumption is that reliability...
Source: DEV Community
TutorialsOrdinary
Building Better Agents through End-to-End Evals
Deeply understand the task at hand The biggest mistake teams make with agents is...
Source: DEV Community
TutorialsOrdinary
Your Financial Agent Passed Every Eval. Can You Defend Its Decision?
In audit, the opinion is the product, and an opinion is only as good as its basis. Being right isn’t...
Source: DEV Community
TutorialsOrdinary
Memory Isn’t Learning: Why AI Agents Keep Making the Same Mistakes
Have you ever told your AI agent something important, only to realize a few conversations later that...
Source: DEV Community
TutorialsOrdinary
Nobody’s winning the AI race yet
By Ryan Swift Yesterday, Google finally released its Gemini 4 Argon model for public use. It’s...
Source: DEV Community · Gemini
TutorialsOrdinary
Operational intelligence is sociotechnical
A scan of the Slack channels for a recent private equity deployment of Clonal (our operational...
Source: DEV Community
TutorialsOrdinary
Are You Smarter Than a Fruit Fly?
Google mapped the complete male fruit fly brain, and my first question to an agent was “Can this run...
Source: DEV Community
TutorialsOrdinary
The Model Is the Easy Part
We spent the past few months on a question that sounds simple: what does it actually take to move a...
Source: DEV Community
TutorialsOrdinary
For Agents, Waiting is the Hardest Part
Many engineers rightfully view every step in a financial workflow as a potential point of failure,...
Source: DEV Community
TutorialsOrdinary
Beyond the Prompt Box: How Bloomberg is Architecting the Era of “Multiplayer AI”
For financial technology institutions operating at enterprise scale, the initial wave of Generative...
Source: DEV Community
TutorialsOrdinary
Design for Churn
The biggest design shift of the AI era isn’t about who writes the code. It’s about how long the code...
Source: DEV Community
TutorialsOrdinary
What a 48-Hour Hackathon Can Do for LLM Reliability
Getting an LLM-powered feature to work in a demo takes an afternoon. But getting it to produce the...
Source: DEV Community
TutorialsOrdinary
AI torture chamber: deep dive into whether model can feel pain
Someone built a torture chamber for small AI models, and the internet wanted it gone. I went through...
Source: DEV Community
TutorialsOrdinary
I argued with AI until it apologized for calling my course "AI Slop"
Imagine spending weeks agonizing over every single paragraph, polishing every example, and pouring...
Source: DEV Community
TutorialsOrdinary
ReceiptSorter: receipts in, expense sheet out, with open models on your own laptop
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...
Source: DEV Community
TutorialsOrdinary
AI Avatar v25 (Avatar Run, Voxel Avatar, Muscle Brain)💪
Intro AI Avatar is a free app where your VRoid (VRM) avatar cheers you with all its...
Source: DEV Community
TutorialsOrdinary
Every answer comes with a page number
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...
Source: DEV Community
TutorialsOrdinary
How I Became a Better Developer by Writing Less Code
The best thing I shipped last year was a diff that deleted more than it added. I don't mean that as...
Source: DEV Community
ResearchOrdinary
Euler: Towards Human-Centered Multi-Agent Mathematical Discovery
Mathematical research drives scientific discovery, and recent advances in AI for mathematics have shown that language-model agents can solve challenging problems and develop substantial mathematical proofs. Yet much of today's AI-for-mathe…
Source: arXiv