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DeepMind

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// recent coverage 86 mentions

07:36
2026-06-25
pub.towardsai.net
machine-learning

Understanding Reinforcement Learning — A Primer

Reinforcement learning trains AI agents through trial and error, rewarding desired actions and penalizing mistakes, similar to teaching a dog to fetch. This approach powers systems like AlphaGo, robot…

00:00
2026-06-25
jasonrobert.dev
artificial-intelligence

News Summary for June 25, 2026

OpenAI unveiled its first custom AI chip, codenamed Jalapeño, built with Broadcom, marking a shift toward hardware self-sufficiency. Google embedded computer use directly into Gemini 3.5 Flash, moving…

21:42
2026-06-24
techcrunch.com
artificial-intelligence

AI researchers continue to leave Google for its rivals

Top AI researchers Jonas Adler and Alexander Pritzel are leaving Google for Anthropic, following a wave of high-profile departures including Noam Shazeer to OpenAI and Nobel laureate John Jumper to An…

21:05
2026-06-24
wired.com
generative-ai

A24 Knows You’re Mad About the Google AI Collab

A24 announced a $75 million research partnership with Google's DeepMind to develop AI filmmaking tools, sparking backlash from fans who see the move as hypocritical given the studio's hit film 'Backro…

18:58
2026-06-24
dev.to
large-language-models

The Scaling Laws That Made LLMs Work

Shrijith Venkatramana, building git-lrc, explains how scaling laws discovered by OpenAI, Google, DeepMind, and Anthropic made large language models like ChatGPT, Claude, and Gemini possible. The 2020 …

13:07
2026-06-23
futurism.com
artificial-intelligence

A24 Fans in Meltdown After It Enters AI Partnership With Google

Google is investing $75 million into A24 as part of an AI research partnership to create AI tools for moviemaking, sparking backlash from fans who view the deal as a betrayal of the studio's artist-dr…

17:30
2026-06-18
latent.space
ai-infrastructure

The Professor of Outputmaxxing — Anjney Midha, AMP

Anjney Midha, founder of AMP, argues that the AI scaling race is not just about acquiring more GPUs but about maximizing the efficiency of existing hardware, citing xAI's sub-10% Model FLOPs Utilizati…

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