Agentic News
📋 Today's Agentic News
A curated selection of today's most important AI developments.
📚 Latest Research Papers
Research Papers: Showing 3 items. Latest academic research in AI and machine learning.
Reasoning Models Can Be Effective Without Thinking
Key Results
- • NoThinking consistently outperforms Thinking in terms of accuracy while using fewer tokens.
- • In low-budget scenarios, NoThinking achieves higher pass@k accuracy than Thinking.
- • Parallel scaling with NoThinking reduces latency significantly while maintaining or improving accuracy.
Key Insights
- • NoThinking approach bypasses explicit reasoning processes and can outperform traditional Thinking methods.
- • NoThinking shows better accuracy-cost tradeoffs, especially in low-budget settings.
- • Parallel scaling combined with NoThinking enhances performance and reduces latency.
Trust, but verify
Key Results
- • Experimental data shows significant statistical differences in outputs from different LLMs and knowledge bases.
- • Gaia nodes with different LLMs produced reliably distinguishable outputs, validating the detection method.
- • The proposed AVS design allows for effective monitoring and incentivization of node behavior in the Gaia network.
Key Insights
- • Decentralized AI networks like Gaia enable customized LLMs to run on personal computers.
- • Social consensus among nodes can effectively detect unauthorized or incorrect LLMs.
- • Intersubjective validation systems can incentivize honest behavior through financial mechanisms.
PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
Key Results
- • PLM achieves competitive performance across 40 image and video benchmarks, comparable to state-of-the-art models.
- • The PLM-8B model outperforms existing models in fine-grained video QA and video captioning tasks.
- • The model sets a new state-of-the-art in detailed visual understanding, demonstrating the effectiveness of open-access data.
Key Insights
- • PerceptionLM (PLM) is a fully open and reproducible vision-language model for detailed visual understanding.
- • The model addresses critical data gaps in video understanding by providing 2.8M human-labeled instances.
- • PLM includes a benchmark suite, PLM-VideoBench, for evaluating complex video understanding tasks.
💻 Trending on GitHub
GitHub Repositories: Showing 5 items. Most popular AI-related repositories today.
microsoft/BitNet
Key Features
- • Official inference framework for 1-bit LLMs with optimized kernels.
- • Supports fast and lossless inference of 1.58-bit models on CPU.
- • Achieves significant speedups and energy reductions on ARM and x86 CPUs.
elie222/inbox-zero
Key Features
- • AI Personal Assistant: Manages your email based on a plain text prompt file.
- • Reply Zero: Track emails that need your reply and those awaiting responses.
- • Smart Categories: Categorize everyone that's ever emailed you.
- • Bulk Unsubscriber: Quickly unsubscribe from emails in one-click.
- • Cold Email Blocker: Automatically block cold emails.
- • Email Analytics: Track your email activity with daily, weekly, and monthly stats.
Shubhamsaboo/awesome-llm-apps
Key Features
- • Curated collection of LLM apps using RAG and AI agents.
- • Supports models from OpenAI, Anthropic, Google, and open-source alternatives.
- • Includes well-documented projects for learning and contribution.
allenai/olmocr
Key Features
- • Toolkit for training language models to work with PDF documents.
- • Includes a prompting strategy for natural text parsing using ChatGPT.
- • Side-by-side evaluation toolkit for comparing pipeline versions.
- • Basic filtering by language and SEO spam removal.
- • Finetuning code for Qwen2-VL and Molmo-O.
- • Processes millions of PDFs through a finetuned model.
- • Allows viewing of Dolma docs created from PDFs.
Byaidu/PDFMathTranslate
Key Features
- • Preserves formulas, charts, table of contents, and annotations.
- • Supports multiple languages and diverse translation services.
- • Provides command line tool, interactive user interface, and Docker support.
🔥 HackerNews Highlights
HackerNews Posts: Showing 5 items. Top AI discussions from the HN community.
Gemma 3 QAT Models: Bringing AI to Consumer GPUs
Jagged AGI: o3, Gemini 2.5, and everything after
FurtherAI (YC W24) Is Hiring Software and AI Engineers
🎯 Reddit Discussions
Reddit Posts: Showing 8 items. Popular AI discussions across Reddit.
[P] The State of Reinforcement Learning for LLM Reasoning
The post discusses the current state of reinforcement learning techniques applied to large language models (LLMs) and their reasoning capabilities.
In just one year, the smartest AI went from 96 IQ to 136 IQ
The post discusses the significant increase in the IQ of the smartest AI, which rose from 96 to 136 in just one year.
AI is becoming the new Google and nobody's talking about the LLM optimization games already happening
The post discusses how AI, particularly LLMs like ChatGPT, is becoming a new platform for product recommendations, similar to how Google once operated. The author notes that AI recommendations are becoming increasingly consistent and suggests that an industry is forming around optimizing these recommendations for marketing purposes. They express concern that this trend could lead to engineered visibility in AI results, mirroring the issues seen with SEO in traditional search engines.
In just one year, the smartest AI went from 96 IQ to 136 IQ
The post discusses the significant increase in IQ of the smartest AI, which reportedly rose from 96 to 136 within a year.
I tried Skyreels-v2 to generate a 30-second video, and the outcome was stunning! The main subject stayed consistent and without any distortion throughout. What an incredible achievement! Kudos to the team!
The user shares their experience using Skyreels-v2 to create a 30-second video, praising the consistent quality and lack of distortion in the final product.
The AI team at Google have reached the surprising conclusion that quantizing weights from 16-bits to 4-bits leads to a 4x reduction of VRAM usage!
Google's AI team discovered that reducing weight quantization from 16-bits to 4-bits can decrease VRAM usage by four times.
This is how I build & launch apps (using AI), fast.
The post outlines a comprehensive approach to building and launching apps quickly using AI tools. It covers ideation, technical stack, development plans, prototyping, testing, and launch strategies, emphasizing the importance of organic user attraction and feedback. The author shares preferred technologies, resources, and a philosophy for successful app launches, while also highlighting the need for security awareness when using AI in development.
How is Gemini 2.5 Pro not Reasoning?
The post discusses the capabilities of Gemini 2.5 Pro and questions why it is not considered a form of reasoning.
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