You're in a Research Scientist interview at Google. Interviewer: We have a base LLM that's terrible at maths. How would you turn it into a maths & reasoning powerhouse? You: I'll get some problems labeled and fine-tune the model. Interview over. Here's what you missed:
RESEARCH
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Decoding the AI 2027 Scenario From Agent-1 to Superintelligence
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From Agent-1 to Superintelligence: Decoding the AI 2027 Scenario and Its Profound Implications Check out my article: https://
linkedin.com/pulse/from-age
nt-1-superintelligence-decoding-ai-2027-its-giuliano-liguori–vb1vf
… Via @ingliguori #AI2027 #FutureTech -
Abstract Chain-of-Thought Enables AI to Reason 12x Faster
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Researchers just taught AI to think 12x faster without using words. Reasoning chains are powerful but expensive. Every token a model "thinks" costs time and money. A new paper called Abstract Chain-of-Thought proposes a fix. Instead of reasoning in full sentences, the model
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MathForge Method Boosts AI Reasoning With Harder Math Problems
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What if making math problems harder actually boosts AI reasoning? Researchers from Renmin University, Alibaba, and other institutions introduce MathForge—a new method that flips the script. Instead of avoiding tough questions, it actively seeks them out. The approach combines
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Liquid AI Introduces Length-Normalized Direct Alignment Method
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We're quite fond of our length-normalized direct alignment at Liquid (see https://
arxiv.org/abs/2511.23404) -
AI Agents Connect to PubMed to Accelerate Scientific Research
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That changes what AI can actually do in science. Instead of relying only on training data, it can connect to sources like PubMed and biological databases, then iterate through real research workflows. The result: → screen thousands of candidates
→ design potential therapies -
Multi-Agent Systems Outperform Single Large Models in Research
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The breakthrough is not one bigger model. It is multiple agents with clear roles: → one designs the research steps
→ one uses real tools and databases
→ one checks the work to catch errors
→ one writes conclusions, but only when evidence supports them In other words, less -
AI Shifts From Chatbot Logic to Agentic Research Workflows
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Most people still think AI’s job is to answer questions.
— Ronald van Loon (@Ronald_vanLoon) 2 mai 2026
That framing is already outdated.
What got my attention about Eubiota is the shift from chatbot logic to research logic:
→ plan
→ execute
→ verify
→ refine
That is a very different category of system.
Here’s why it… pic.twitter.com/Bm5K2wRYLgMost people still think AI’s job is to answer questions. That framing is already outdated. What got my attention about Eubiota is the shift from chatbot logic to research logic: → plan
→ execute
→ verify
→ refine That is a very different category of system. Here’s why it -
Hyperparameter Tuning with Bayesian Optimization Using Hyperopt
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Hyperparameter Tuning Based on Bayesian Optimization. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Hyperopt -
Claude AI Autonomously Grows Tomatoes in 100-Day Experiment
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Anthropic’s Claude #AI #Autonomously Grows Tomatoes for 100+ Days in Groundbreaking Experiment
— Ronald van Loon (@Ronald_vanLoon) 2 mai 2026
by @d33v33d0#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/GJ44Y0ItXNAnthropic’s Claude #AI #Autonomously Grows Tomatoes for 100+ Days in Groundbreaking Experiment
by @d33v33d0 #ArtificialIntelligence #MachineLearning #ML