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#Google Deepmind
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CLHuge news from Google DeepMind: This paper is a new announcement about AlphaFold, the tool being used to solve what has been called one of the most important issues in modern science. Our team at HUGE* got to read this paper before it just got released, so let me explain what AlphaFold does and why this announcement is a big deal....
This is truly huge if true! If you like optimistic science and tech stories, follow here for more.
#science #tech #discovery #googledeepmind #alphafold
@cleoabram
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GOWitness the pursuit of scientific discovery up close. 🧠
The Thinking Game captured our teams over 5 years as they navigated the complex challenges of the protein folding problem – culminating in a Nobel Prize-awarded breakthrough.
Stream the film for free now on our YouTube 🔗
@googledeepmind
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AI🧏 Google DeepMind just unveiled SignGemma — their most capable open AI model for translating sign language into spoken text.
It joins the Gemma family later this year, pushing the boundaries of inclusive technology.
Follow @airesearches to stay updated on the world's most fascinating AI developments.
@airesearches
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ARArtificial intelligence is moving at a pace the world has never seen before, and the arrival of AGI is no longer a distant theory but an active part of global discussions.
In this environment, Demis Hassabis, CEO of Google DeepMind and one of the leading figures in modern AI research, has started giving clear guidance to students and new graduates about how to prepare for the future.
Hassabis argues that this moment is similar to the early days of the internet, and those who learn early gain a massive advantage.
That is why he stresses mastering AI tools, building strong STEM fundamentals, and developing adaptable learning habits as essential skills for the generation entering the workforce today.
Follow us (👉@artificialintelligenceee) for everything latest from the AI world.
Media: WIRED
@artificialintelligenceee
255.1K
SAGoogle DeepMind just published a 42-page paper called Intelligent AI Delegation and it’s the most honest thing I’ve read about the state of AI this year.
The paper breaks down two fundamental problems. First, AI is not self-adaptive. It doesn’t learn from its mistakes in real time and it can’t recover when things go wrong. Second, and more importantly, AI is not trustworthy. It’s not reliable and we currently don’t have a good solution for that.
When you combine multiple AI agents together, which is what every company is trying to do right now, those two problems multiply. You get unreliable systems delegating to other unreliable systems with zero accountability and no way to trace what went wrong.
Google’s proposed solution is to treat AI delegation the way you would treat delegation in a real company, with contracts, verification systems, trust scores, strict permissions, and mandatory human approval for high-stakes actions. Essentially all the infrastructure you need when you can’t trust the employee doing the work.
The takeaway is simple. Next time someone tells you AI is about to replace your job, send them this paper. The people actually building the systems just told you how far we are from that reality.
#AIagents #GoogleDeepMind #AIresearch
@sarainwondertech
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MR🚨 The Real Reason Google Built GEMINI 3: It’s Called ANTIGRAVITY #gemini3 #googleantigravity #Antigravity
Google DeepMind has officially unveiled the next generation of AI, and it’s not just about the model—it’s about the platform! Meet Gemini 3 and its groundbreaking agentic development environment: Antigravity.
Gemini 3 Pro is showcasing unprecedented multimodal reasoning, but the real story is how DeepMind is using it. Antigravity allows the Gemini model to operate as a full agent, creating and updating software autonomously. This is the first step toward an AI that can truly think, plan, and execute complex programming tasks with minimal human intervention.
🤯 This isn't just an update; it's a new paradigm for software development. Watch the full reel to see how Gemini 3 uses Antigravity to build and debug an app in real-time!
What do YOU think? Is this the end of manual coding? Let me know in the comments! 👇
Hashtags:
#Gemini3 #GoogleAntigravity #DeepMind #AICoding #AgenticAI #NewGoogleAI #FutureofCoding #ArtificialIntelligence #TechNews #GoogleAI #LLM #SoftwareDevelopment #Programming
Google DeepMind has launched Gemini 3 Pro, the new benchmark in Artificial Intelligence. The biggest reveal is the Antigravity agentic platform, which signals the Future of Coding and Software Development. This new era of Agentic AI means the end of manual coding. Users need to search for terms like Gemini 3 Pro, Google Antigravity, AICoding, and New Google AI to find information on this massive Tech News update.
@mrartilligence
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EV“The Thinking Game” now has +300M views on YouTube.
From DeepMind's documentary, the most replayed scene shows a meeting where someone tells CEO Demis Hassabis that AlphaFold can predict all known protein sequences, around 1 to 2 billion, in about a month.
He looks up from his phone and says, “Why don’t we just do that? That’s a great idea. We should run every protein in existence and release it.”
That decision would later lead to a Nobel Prize.
AlphaFold was the result of years of work at Google DeepMind, solving a biology problem scientists had struggled with for nearly 50 years. Predicting how proteins fold from their amino acid sequence was slow, expensive, and usually required lab experiments. AlphaFold showed this could be done with AI, accurately, at scale, and in days instead of years.
DeepMind then released AlphaFold for free, allowing researchers worldwide to study proteins at a scale never possible before, speeding up progress in medicine, biology, and drug discovery.
What are your thoughts on this? 🤔💬
🎥: @googledeepmind
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