A busy AI news week means an extra long AI news roundup post Did I miss anything? – @OpenAI restored #GPT4o as model option after #GPT5 backlash
– OpenAI’s o3 won Kaggle AI Chess Tournament
– @grok 4 is now free to use worldwide
– @NotebookLM Overviews went live for
GENERATIVE AI
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AI News Roundup: GPT4o Return, o3 Victory, Grok Free Access
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How Many AI Agents Are Currently Working for You?
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Real talk, how many AI agents do you have working for you right now?
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SuperNinja AI Research Platform Launches on Cerebras Infrastructure
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SuperNinja is launching today:
Try SuperNinja: https://
super.myninja.ai
Read the research blog: https://
ninjatech.ai/blog/superninj
a-cerebras-worlds-fastest-deep-research
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Build on Cerebras Inference: http://
inference.cerebras.ai -
Faster Inference Doubles User Engagement With Cerebras
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Faster inference is a different UX – users can ask follow up questions, update the report, and explore new data in the same time it takes for a traditional agent to generate a first draft report. In early testing, user engagement was 2x higher when using Cerebras Inference.
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Claude Opus 4 gains ability to end conversations for welfare
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As part of our exploratory work on potential model welfare, we recently gave Claude Opus 4 and 4.1 the ability to end a rare subset of conversations on http://
claude.ai. -

NinjaTech Builds Advanced AI Agent with Qwen3 235B
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Today, using Qwen3 235B Instruct, NinjaTech has built one of the world’s most intelligent agents. In the challenging GAIA General AI Assistants eval, SuperNinja's custom scaffold scored in the same league as o3, Gemin 2.5 Pro and Sonnet 4.
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NinjaTech Achieves One-Minute Frontier Research with Cerebras
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In June, the NinjaTech team reached out to Cerebras with the ambitious goal of cutting deep research time down to 1min at frontier quality. We reached the speed, but the models at the time weren’t quite smart enough vs. o3.
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SuperNinja: 5x Faster Deep Research AI Powered by Cerebras
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Introducing SuperNinja – the world’s fastest deep research by @NinjaTechAI powered by Cerebras:
— Cerebras (@cerebras) 15 août 2025
‣ 1-2min for full answer instead of 10min
‣ 5x faster than o3, Gemini Pro etc.
‣ Same accuracy as measured by GAIA pic.twitter.com/rXDoamiksmIntroducing SuperNinja – the world’s fastest deep research by @NinjaTechAI powered by Cerebras:
‣ 1-2min for full answer instead of 10min
‣ 5x faster than o3, Gemini Pro etc.
‣ Same accuracy as measured by GAIA -

Character-Level Tokenization Success in DNA Language Models
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watch me realize in realtime that @gdb is deadly serious about character-level tokenization and it's already working well for @pdhsu, @SKonermann, and @patrickc's @ArcInstitute 's 40B model that is the "GPT-1 of DNA"
— swyx 🐣 (@swyx) 15 août 2025
with biological language models (instead of natural language),… https://t.co/SMA81JYX0b pic.twitter.com/XXsMmDEZWewatch me realize in realtime that @gdb is deadly serious about character-level tokenization and it's already working well for @pdhsu
, @SKonermann
, and @patrickc
's @ArcInstitute 's 40B model that is the "GPT-1 of DNA" with biological language models (instead of natural language), -
AI System Fails Basic Problem Solving Tasks Consistently
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Je souscris : l’erreur devient la norme ! Il est incapable de résoudre un problème de Maternelle et il est bête comme un foin. On recule, on n’avance pas avec cette version. Il faut tout lui expliquer comme à un enfant de 5 ans.