In the end, it seems that the idea that AI will fill the code with bugs that humans will then fix afterward is going to be quite the opposite.
LLMS
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Frontier AI Models Race: Mythos, Spud, and Google’s Response
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We've now seen Claude Mythos and know what's possible. OpenAI has repeatedly indicated that "Spud" is likely to have similar quality and power. Google, in turn, has the most compute (5m H100 equivalent) and, with DeepMind, an outstanding research institution. I expect their new Gemini equivalent, "Mythos," to be unveiled no later than May at I/O. The competition is now forcing Frontier Labs to catch up and move forward. In that sense, Mythos was just the beginning.
→ View original post on X — @kimmonismus, 2026-04-08 09:00 UTC
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Cheers: Unified Multimodal Model for Image Understanding Generation
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AI could understand and generate images from a single, efficient model!
— 机器之心 JIQIZHIXIN (@jiqizhixin) 8 avril 2026
Tsinghua University, Xi'an Jiaotong University, and University of Chinese Academy of Sciences present Cheers!
This unified multimodal model decouples fine image details from their core semantic meaning.… pic.twitter.com/s0MgsejA97AI could understand and generate images from a single, efficient model! Tsinghua University, Xi'an Jiaotong University, and University of Chinese Academy of Sciences present Cheers! This unified multimodal model decouples fine image details from their core semantic meaning. This new architecture stabilizes AI's understanding while boosting image generation fidelity by selectively re-injecting those details. Cheers matches or outperforms advanced unified multimodal models in both visual understanding and generation. It notably beats Tar-1.5B on GenEval and MMBench, using only 20% of the training cost and achieving 4x token compression. Breakthrough efficiency! Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation Project: github.com/AI9Stars/Cheers Model: huggingface.co/ai9stars/Chee… Paper: arxiv.org/abs/2603.12793 Our report: mp.weixin.qq.com/s/EK6cyCJz5… 📬 #PapersAccepted by Jiqizhixin
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WideSeek-R1: Multi-Agent Framework Achieves DeepSeek-R1 Performance
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Still waiting for DeepSeek?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 8 avril 2026
Here comes WideSeek-R1.
Researchers from Tsinghua University and Infinigence AI introduce "width scaling," an innovative lead-agent and subagent framework.
Instead of a single powerful AI working through a problem sequentially, WideSeek-R1… pic.twitter.com/OOb3Azq6G3Still waiting for DeepSeek? Here comes WideSeek-R1. Researchers from Tsinghua University and Infinigence AI introduce "width scaling," an innovative lead-agent and subagent framework. Instead of a single powerful AI working through a problem sequentially, WideSeek-R1 orchestrates multiple smaller AIs to work in parallel. This system is trained with multi-agent reinforcement learning, allowing for scalable coordination and simultaneous execution using a shared large language model, but with each sub-agent having specialized tools and isolated contexts. WideSeek-R1-4B achieves an item F1 score of 40.0% on the WideSearch benchmark, a performance comparable to the much larger, single-agent DeepSeek-R1-671B. WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning Paper: arxiv.org/abs/2602.04634 Project: wideseek-r1.github.io Our report: mp.weixin.qq.com/s/qgGe51Rcw… 📬 #PapersAccepted by Jiqizhixin
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LLM Verification Layers in Deterministic Pipeline Systems
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Every LLM output in a deterministic pipeline needs a verification layer. You're essentially building two systems.
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Vero: Open-Source Vision-Language Model Achieves SOTA Performance
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How do we build a visual AI that truly understands everything from charts to complex science?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 8 avril 2026
Researchers at Princeton University present Vero.
Vero is a family of fully open-source vision-language models trained with a massive 600K sample dataset (Vero-600K) from 59 diverse… pic.twitter.com/nXMfBWfijMHow do we build a visual AI that truly understands everything from charts to complex science? Researchers at Princeton University present Vero. Vero is a family of fully open-source vision-language models trained with a massive 600K sample dataset (Vero-600K) from 59 diverse datasets, along with a novel reward system. This fully open recipe makes powerful visual reasoning accessible. Vero achieves SOTA performance for open-weight models, improving 3.7-5.5 points across 30 benchmarks on average. It even outperforms Qwen3-VL-8B-Thinking on 23 benchmarks without proprietary thinking data, excelling in spatial reasoning, STEM, chart interpretation, and more.
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Can it run Gemma4: AI model runs on Nintendo Switch
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Can it run doom was yesterday.
— Chubby♨️ (@kimmonismus) 8 avril 2026
Today is "can it run Gemma4".
It even runs on a Nintendo Switch 1 @ 1.5 t/sec https://t.co/9KQPFXM3uM pic.twitter.com/PLZ9WoBLTwCan it run doom was yesterday. Today is "can it run Gemma4". It even runs on a Nintendo Switch 1 @ 1.5 t/sec Maddie D. Reese (@maddiedreese) Gemma 4 running locally on a Nintendo Switch 🙂 1.5 tokens per second haha, but it runs! @googlegemma @googleaidevs @GoogleDeepMind — https://nitter.net/maddiedreese/status/2041677327604838685#m
→ View original post on X — @kimmonismus, 2026-04-08 07:10 UTC
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Anthropic Releases Claude Mythos Preview Model Too Dangerous for Public
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Anthropic has just done something unprecedented in the history of AI. Project Glasswing. And a model too dangerous to release to the public. Claude Mythos Preview is Anthropic's new frontier model. It wasn't specifically trained for cybersecurity. But its reasoning and coding
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GPT and Generative AI Conference with Big Data Analytics Focus
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GPT, Generative AI, and LLM! @AverConferences #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Aver
→ View original post on X — @gp_pulipaka, 2026-04-08 06:57 UTC
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OpenAI Releases Model Comparable to Mythos
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OpenAI is hinting or releasing a model comparable to Mythos adi (@adonis_singh) it’ll probably be months before we use a model of this level of capability — https://nitter.net/adonis_singh/status/2041655065732141184#m
→ View original post on X — @kimmonismus, 2026-04-08 06:35 UTC