Btw, this article was written with a help of Claude Opus 4.8 Max. From my pov it is the best for writing at this moment.
TOOLS
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MWC 2026: AI integrates into work, communication, and decisions
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MWC 2026 made one thing very clear — AI is quickly integrating into how we work, communicate, and make decisions every day. From AI-powered devices and smart assistants to autonomous workflows and infrastructure.
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Evaluating Deep Agents with LangSmith on AWS
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Evaluating Deep Agents with LangSmith on AWS Great deep dive blog with our friends at AWS on evaluating DeepAgents with LangSmith Covers datapoint and evaluator design for longer horizon agents https://
aws.amazon.com/blogs/machine-
learning/evaluating-deep-agents-using-langsmith-on-aws/
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Anthropic plans consumer and bioscience expansion with new features
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Anthropic is planning to further expand into the consumer and bioscience sectors. The biggest things to watch for – Conway agent
– Orbit assistant
– Knowledge-based memory
– Multilingual Voice Mode
– Operon for bioscience researchers and more! Which one do you think will -
AI-Generated Feature Film ‘Hell Grind’ Debuts at Cannes, Made in 14 Days
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🎬 The first AI-generated feature film just made waves in Cannes.
— Amitav Bhattacharjee (@bamitav) 31 mai 2026
Hell Grind was reportedly created in just 14 days using AI video tools, with a budget of around $500,000.#aiart #aifilm #aivideo #Aiartowork #AI #artificialintelligence #movie #film @sonu_monika @enilev… pic.twitter.com/BPrXNF0oh4The first AI-generated feature film just made waves in Cannes. Hell Grind was reportedly created in just 14 days using AI video tools, with a budget of around $500,000. #aiart #aifilm #aivideo #Aiartowork #AI #artificialintelligence #movie #film @sonu_monika @enilev
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GEPA visualizer: LLM self-optimizing prompts beyond black-box scoring
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A new GEPA visualizer shows an LLM optimizing its own prompts in real time.
— AlphaSignal AI (@AlphaSignalAI) 31 mai 2026
Most prompt optimizers treat the LLM like a black box.
They reduce every run to a single score and call it learning.
GEPA takes a different path.
It reads the full execution trace, error logs, and… pic.twitter.com/ixJEsIMutdA new GEPA visualizer shows an LLM optimizing its own prompts in real time. Most prompt optimizers treat the LLM like a black box. They reduce every run to a single score and call it learning. GEPA takes a different path. It reads the full execution trace, error logs, and
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Autoreview keeps GPT honest and helps achieve real goals
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gotta use autoreview, that keeps gpt honest and usually helps achieve the real goal.
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Cursor’s improved tool call convention makes it great
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Yes! In Cursor it's particularly great too now they fixed the tool call convention.
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Codex user growth projected to reach 10 million by October
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Codex user growth, if this trend continues, it would be 10m by October
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Official DiffusionBlocks Implementation for ViT Image Classification
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Our official implementation of DiffusionBlocks on image classification using Vision Transformers (ViT)