I have a hunch about what this vague hint is meant to convey: OpenAI’s super app is coming. The reference calls to mind Sam Altman’s Death Star meme.
INNOVATION
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SambaNova M2.7: Self-Improving AI Coding Model
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🚀 @MiniMax_ai M2.7 isn’t just another coding model.
— SambaNova (@SambaNovaAI) 8 mai 2026
It was used to improve its own agent harness across 100+ rounds of iteration, helping drive major gains in coding, multi-agent collaboration, and real-world workflows.
Try it now: https://t.co/LCNjOUhxgs pic.twitter.com/RotpzC6SKG@MiniMax_ai M2.7 isn’t just another coding model. It was used to improve its own agent harness across 100+ rounds of iteration, helping drive major gains in coding, multi-agent collaboration, and real-world workflows. Try it now: https://
cloud.sambanova.ai/dashboard?utm_
source=x&utm_medium=organic&utm_campaign=developer
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Codex: A Transformative Tool for All Computer Work, Not Just Coding
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codex is for everyone — a transformative tool for all work done with a computer, not just coding
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AI Pilots Fail Due to Strategy, Not Technology Issues
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Most AI pilots fail Not because of the tech.
Because of the strategy. • No clear ownership
• No measurable outcomes
• No operational integration AI becomes valuable when tied to business execution. Via Giuliano Liguori (
@ingliguori
) #AI #Innovation -
DeepSeek V4 integrated with Claude Code, reduced cost, parallel usage
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DeepSeek V4 now speaks Claude Code natively. $0.14 per million tokens vs $5.00 for Claude Opus 4.7. Here's the exact setup that runs DeepSeek as a second opinion alongside your main Claude session, without replacing it: ———————————-
DEEPSEEK PARALLEL
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AgenticAI: The New Frontier in Medtech from Consultant to Colleague
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From Consultant To Colleague: #AgenticAI As The New Frontier In #Medtech
by Ming-Chien Chyu @Forbes Learn more: https://
bit.ly/42dT3Ru #Healthcare #HealthTech #Tech #TechForGood -
Optimiser les LLM avec la sparsité adaptée au GPU
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How do we make LLMs faster and lighter? Don’t force the GPU to adapt to sparsity. Reshape the sparsity to fit the GPU! ⚡️
— Sakana AI (@SakanaAILabs) 8 mai 2026
Excited to share our new #ICML2026 paper in collaboration with @NVIDIA: "Sparser, Faster, Lighter Transformer Language Models". This work introduces new… pic.twitter.com/ehByWHIh6IHow do we make LLMs faster and lighter? Don’t force the GPU to adapt to sparsity. Reshape the sparsity to fit the GPU! Excited to share our new #ICML2026 paper in collaboration with @NVIDIA
: "Sparser, Faster, Lighter Transformer Language Models". This work introduces new -
SkillOS: Skill Curation for Self-Evolving Agents
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SkillOS Learning Skill Curation for Self-Evolving Agents paper: https://
huggingface.co/papers/2605.06
614
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Apple introduces TIDE: Every Layer Knows the Token Beneath the Context
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Apple presents TIDE Every Layer Knows the Token Beneath the Context paper: https://
huggingface.co/papers/2605.06
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LLMs’ Math Progress Accelerates Rapidly
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It's surprising to see the pace of progress of LLMs (which until not long ago were very bad at math) achieving ever greater milestones. Take a look at the graph above. The progress curve is getting faster and faster. I'll leave the link to the paper here: https://
arxiv.org/abs/2605.06651