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June delays 5.6

Reddit r/singularity · 6h ago

Multiple AI model releases are delayed: GPT-5.6 now expected mid-July, DeepMind's 3.5 Pro postponed, while OpenAI's Bidi voice model and Claude Sonnet 5 for enterprises see progress.

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#deepmind

Google invests in A24 to build AI movie tools

The Verge · yesterday Cached

Google's DeepMind is partnering with A24 to develop AI-powered movie production tools, with an investment of approximately $75 million, aiming to help filmmakers expand storytelling possibilities.

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#deepmind

Google is investing $75 million in A24 as part of a DeepMind AI partnership

Reddit r/singularity · yesterday

Google is investing $75 million in A24 as part of a DeepMind AI partnership, combining AI with entertainment.

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#deepmind

Which AI lab do you believe will achieve AGI first?

Reddit r/singularity · yesterday

A forum discussion speculating on which AI lab will achieve AGI first, referencing past predictions by Google, recent capabilities from OpenAI and Anthropic, and the competitive nature of DeepMind's Demis Hassabis.

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#deepmind

Google's top talent is leaving. Will Google be able to catch up to the AI frontier again?

Reddit r/ArtificialInteligence · 3d ago

Google faces talent loss as key researchers leave for OpenAI and Anthropic, and its Gemini-3.1-Pro is falling behind. The article speculates on whether upcoming Gemini-3.5-Pro can help Google catch up, with predictions on release date, capabilities, and pricing.

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#deepmind

@mdancho84: A Research Scientist at Google DeepMind just dropped a 58 page paper on building agents that specialize in game theory.…

X AI KOLs Timeline · 3d ago Cached

A 58-page paper from Google DeepMind on building agents specialized in game theory, highlighting key insights from the research.

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#deepmind

DeepMind is now reportedly struggling to compete with Anthropic and OpenAI while 3.5 Pro is not the step change they'd need to be competitive

Reddit r/singularity · 4d ago

DeepMind reportedly struggles to keep up with Anthropic and OpenAI, with its 3.5 Pro model not providing the significant advancement needed to be competitive.

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#deepmind

In the span of 3 days: Noam Shazeer (Transformer co-author) leaves Google for OpenAI, and John Jumper (Nobel laureate, AlphaFold lead) leaves Google DeepMind for Anthropic

Reddit r/singularity · 4d ago

In three days, Noam Shazeer (co-author of the Transformer paper) left Google for OpenAI, and Nobel laureate John Jumper (AlphaFold lead) left Google DeepMind for Anthropic, marking significant talent shifts in AI.

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#deepmind

@GoogleDeepMind: There is a narrow window to embed structural security protocols before multi-agent systems scale globally. We believe t…

X AI KOLs · 5d ago Cached

Google DeepMind introduces the AI Control Roadmap, a defense-in-depth framework for securing AI agents against risks from misalignment, calling for collaborative prioritization across AI labs, government, and academia.

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#deepmind

@GoogleDeepMind: Our data shows that the vast majority of issues don't stem from bad intent. They usually happen because an agent misint…

X AI KOLs · 5d ago Cached

Google DeepMind shares data indicating that most AI agent issues stem from command misinterpretation or excessive goal-seeking, not malicious intent, highlighting the need for refined safety protocols.

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#deepmind

Physics-IQ Verified

Hugging Face Daily Papers · 6d ago Cached

This paper presents a systematic audit of the Physics-IQ benchmark for evaluating physical understanding in video generative models, proposing improvements to prompts and scoring to enhance reliability.

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#deepmind

Unlocking UK house-building with AI-accelerated planning

Google DeepMind Blog · 6d ago Cached

Google DeepMind is partnering with the UK government to develop an AI-powered planning prototype using Gemini, aiming to halve the time for processing householder planning applications and help build 1.5 million new homes by 2029.

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#deepmind

Securing the future of AI agents

Google DeepMind Blog · 2026-06-16 Cached

DeepMind introduces an AI Control Roadmap, a defense-in-depth framework for securing internal AI agents against potential misalignment, treating them as insider threats and implementing layered detection, prevention, and response measures.

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#deepmind

@Hesamation: Google DeepMind pre-training lead explains two skills with massive demand by AI frontier labs: > Kernel Development > L…

X AI KOLs Timeline · 2026-06-15 Cached

Google DeepMind's pre-training lead Vlad Feinberg highlights kernel development and low-level performance engineering as high-demand skills for frontier AI labs.

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#deepmind

Ryan Peterman (@ryanlpeterman) on X

X AI KOLs Timeline · 2026-06-15 Cached

Interview with Google DeepMind's pre-training area lead Vlad Feinberg about landing jobs at frontier AI labs, covering needed skills, research vs engineering differences, and scaling laws.

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#deepmind

@rosstaylor90: A few words on the Sovereign AI debate, having built several LLMs in Meta while in the UK and now working as a UK based…

X AI KOLs Following · 2026-06-14 Cached

A former Meta AI researcher shares a 10-point thread on the UK's sovereign AI debate, arguing that smaller, well-scoped teams can validate new directions without billions, and that nurturing local talent and managing expectations are crucial for the UK's AI ecosystem.

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#deepmind

@Xudong07452910: The ticket to top AI labs is no longer just academic glory! Recently, I read a hardcore ML interview review article. The author received offers from DeepMind and other top AI companies. There's a very realistic observation in the article: Even if you have multiple first-author papers at top AI conferences, your resume can only get you into the interview room.

X AI KOLs Timeline · 2026-06-12 Cached

A detailed guide on ML job interviews for top AI labs, sharing the author's experience getting offers from DeepMind and others, emphasizing the need for strong engineering and math skills beyond research papers.

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#deepmind

[Talk] Text Diffusion — Google DeepMind's Brendan O’Donoghue

Reddit r/LocalLLaMA · 2026-06-11 Cached

DeepMind researcher Brendan O'Donoghue provides an in-depth introduction to text diffusion models, which generate text through iterative denoising. Compared to autoregressive models, they offer lower latency but limited throughput, and demonstrate unique advantages such as self-correction and dynamic computation.

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#deepmind

@GoogleDeepMind: We’re teaming up @Palmeiras, the first football club to meaningfully build upon TacticAI: our AI system that can help s…

X AI KOLs · 2026-06-11 Cached

Google DeepMind partners with Palmeiras, the first football club to build upon TacticAI, an AI system that simulates field scenarios and predicts open play dynamics up to 8 seconds ahead.

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#deepmind

@silviasapora: After interviewing for Research Scientist roles at DeepMind, Isomorphic, Meta, Cohere and more, I wrote up everything I…

X AI KOLs Timeline · 2026-06-10 Cached

Silvia Sapora shares a comprehensive guide on interviewing for Research Scientist roles at top AI labs, covering preparation, logistics, negotiation, and emotional challenges, based on her successful experience landing offers from DeepMind and others.

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