Building Efficient Sovereign AI Models for Europe With NVIDIA Nemotron https://t.co/2tioxJmttI
— NVIDIA AI (@NVIDIAAI) 2 juin 2026
Building Efficient Sovereign AI Models for Europe With NVIDIA Nemotron
MACHINE LEARNING
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NVIDIA Nemotron Enables Efficient Sovereign AI Models for Europe
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AIKosh provides diverse datasets for AI development in India
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From agricultural advisory interactions and weather records to multilingual AI datasets and health research resources, AIKosh offers access to a growing collection of datasets across diverse sectors. Designed to support innovation, experimentation, and AI development in Indian
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Meta’s ex-Director to keynote Rev London on evolving data science for agentic era
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Eduardo Arino de la Rubia, former Sr. Director of Data Science at @Meta
, closes Rev London on 25 June. His keynote: how the data scientist role must evolve for the agentic era. Register now:
https://
domino.buzz/4o5B9un
#Rev26 #DataScience #EnterpriseAI #agenticAI -
Capability lead is meaningless without compute, Anthropic learns
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The lesson learned here is that a capability lead means nothing without the compute to serve it. Anthropic are actively learning that now.
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Kimi K2.6 remains the top open-source SoTA model
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Kimi K2.6 is still the current opensource SoTA model
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Weak AI vs Strong AI: Identifying cats versus debating climate change
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Weak AI vs Strong AI, in one line:
— Satya Mallick (@LearnOpenCV) 2 juin 2026
Weak AI recognizes the cat in the photo.
Strong AI debates climate change with you.
One is already transforming industries. The other could revolutionize everything we know.
Full breakdown 👇https://t.co/r5OZtPA79o#AI #AGI #MachineLearning pic.twitter.com/DXtTyAl58bWeak AI vs Strong AI, in one line:
Weak AI recognizes the cat in the photo.
Strong AI debates climate change with you.
One is already transforming industries. The other could revolutionize everything we know.
Full breakdown https://
vist.ly/569tx
#AI #AGI #MachineLearning -
AI coding agents: 17x more code but only 30% more releases
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Big paper on AI coding agents using Github & other data The auto-complete tools (Copilot) led to 2.2x more code, local agents like original Claude Code led to 7.4x, & current remote coding agents 17.3x(!) But human bottlenecks in coding means actual releases "only" went up 30%
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Merge launches Agent Handler for Employees, secure AI integration with company software.
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🆕: Merge just launched Agent Handler for Employees — the safest way to connect AI to your company software.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 2 juin 2026
✅ Connects Claude, ChatGPT, Cursor, Copilot & more to any third-party system
✅ IT imports employees → maps them to approved tools
✅ Built-in data loss prevention… pic.twitter.com/RgQvgShtNJ: Merge just launched Agent Handler for Employees — the safest way to connect AI to your company software. Connects Claude, ChatGPT, Cursor, Copilot & more to any third-party system IT imports employees → maps them to approved tools Built-in data loss prevention
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Codex desktop update restores functionality, thanks to PhilippSpiess
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I just updated Codex desktop and it's back! Thanks very much @PhilippSpiess
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OpenAI announces major Codex update tomorrow, distinct from GPT-5.6
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OpenAI is releasing a major Codex update tomorrow. Months in development, something quite special. It certainly sounds different from GPT-5.6. https://
x.com/TheRohanVarma/
/TheRohanVarma/status/2061628881753571362
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