I tested it today building causal agents. It was spectacular at breaking tasks. It wrote beautiful code. Amazing vibe coding tool. I also asked it to write the paper at the end and it did ok. With a bit of guidance, one can now do in a day what it used to take me about two weeks
LLMS
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8 Types of LLMs for Next Generation AI Agents
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8 Types of #LLMs for Next Generation #AIAgents
by @PythonPr #GenAI #AI #ArtificialIntelligence #MachineLearning #ML -
Selecting Top 100 Agent-User Interactions for Review Without LLM
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A great LLM interview question:
— Akshay 🚀 (@akshay_pachaar) 25 avril 2026
(answer shared below)
You have 80k Agent-user interactions from production. You need to find the top 100 worth reviewing to improve the agent.
You cannot use an LLM to evaluate them since it will be expensive.
This is one of the most painful… pic.twitter.com/nXS2nYGiC0A great LLM interview question: (answer shared below) You have 80k Agent-user interactions from production. You need to find the top 100 worth reviewing to improve the agent. You cannot use an LLM to evaluate them since it will be expensive. This is one of the most painful
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GLM-5.1 BytePlus: Opus-class Performance at 5x Lower Cost
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GLM-5.1 is now on BytePlus's Coding Plan — and the case is straightforward: Opus-class performance, 8-hour autonomous task loops, works natively in Cursor and Claude Code, 6 top models with smart routing. All at roughly 5x lower cost than http://
Z.ai official pricing. -

Security research evaluates Claude Code’s auto mode risk management
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How secure is the new "auto mode" for AI coding assistants? Researchers from HKUST and ETH Zurich put Claude Code's permission system to the test. They found it misses dangerous actions when a task's risk is ambiguous. In a stress test, it missed 81% of risky actions, far
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Kimi Proposes Solution to LLM Prefill-Decode KV Cache Transfer Problem
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A new paper just exposed how much money AI labs waste on GPUs. Running LLMs at scale hits a wall when prefill and decode share one datacenter. The KV cache transfer between them is massive. This forces expensive RDMA networks and identical hardware everywhere. Kimi proposes
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AI Surpasses Doctors: Narcissistic Wound Medical Profession
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Les médecins n’acceptent pas que l’IA les dépasse
— Docteur Laurent Alexandre (@dr_l_alexandre) 25 avril 2026
C’est une immense blessure narcissique
Pourtant la réalité c’est que nous médecins nous sommes « Has Been » face à l’IA
Peut-on égaler l’IA en transformant les études médicales ? Pas sûr du tout 😰😰😰😰 https://t.co/DvaejqvFWMDoctors don’t accept that AI surpasses them It’s a massive narcissistic wound Yet the reality is that we doctors are “has-beens” in the face of AI Can we match AI by transforming medical studies? Not sure at all
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GPT 5.5 emerges as most reliable coding model
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pretty sure, maybe just not as reliable. GPT 5.5 is the most reliable coding model.
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GPT-5.5 ChatGPT feels more serious and useful now
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Maybe its just me, but since GPT-5.5 ChatGPT feels more… serious? More useful? Less chatty? I dont know if they even reworked the vibe and tone but I actually begin to like it again.
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Raw Intelligence: Structuring Data for Better AI Partners
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so much raw intelligence, lots of work to wrangle it into the most useful thought partner out there