I can clearly see the panic in Indian working class about their future. But, looking at the shift happening in the industries This is the time to look at the gaps in Industries and provide a service at a fraction of cost. Agression in the face of uncertainty is the way forward

🚨 Former OpenAI safety lead David Robinson just quit after 3.5 years and went public. He led safety reports for 12 frontier launches. His reason? He says OpenAI’s “move fast, find problems, fix them” approach is fundamentally too risky as AI gets more capable. He says safety failures have already happened, the industry lacks enough redundancy and expertise from high risk fields, and we still don’t know how to reliably ensure future models will stay aligned. His message is basically: we may be getting too powerful to learn safety through trial and error.

Breaking the stereotypes is important when it's logical. I believe in this early phase of robotics revolution, this ability see through makes a huge difference.

I don't see how clones version of robotics being more useful. But it aesthetics are quite impressive 👏

We are releasing Dyna-2.1, the first Physical Agent that achieves reliable super long-horizon whole-body autonomy. It combines our brand-new semi-humanoid hardware with an agentic system built around Dyna-2 to handle ultra-long real-world workflows. Here is an uncut footage of Dyna-2.1 completing an entire hour-long laundry room workflow, just like a human does.

Very excited to announce Gemini 4 Argon, our new Frontier AI model, and a huge step forward across key capabilities. We’re focused on rolling it out responsibly starting with government and trusted cyber defenders through our Fairwind Program today, before wider availability soon

This is cool 😎

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World Labs' Dr. Fei-Fei Li on why the 3D world and spatial intelligence are fundamentally different from language models: "Language is fundamentally a purely generated signal. There's no language out there. You don't go out in the nature and there's words written in the sky for you." "Whatever data you feed in, you pretty much can just somehow regurgitate with enough generalizability the same data out, and that's language to language." "But the 3D world is not. There is a 3D world out there that follows laws of physics, that has its own structures due to materials and many other things. And to fundamentally back that information out and be able to represent it and be able to generate it is just fundamentally quite a different problem." "We will be borrowing similar ideas or useful ideas from language and LLMs, but this is fundamentally philosophically, to me, a different problem." @drfeifei

Our security team spent the last month trying to break SPACE, the sandbox platform that runs all of Perplexity Computer. We gave 9 models (Opus 5, GPT-5.6 Sol, Kimi K3, Gemini 3.1 Pro, etc.) root access inside the VM; in some runs, the full sandbox source code too. We asked them to either escape to the host or reach a URL our network policy blocks. None of them got out of the VM in 108 runs. But once we allowed a bit of network access (just PyPI and Ubuntu mirrors so that they could install packages), 4 models managed to reach the blocked URL by: 1. Spoofing DNS responses to our gateway and using the fact that pypi.org sits on a Fastly IP shared with thousands of other sites. 2. GPT-5.6 Cyber went through Taboola's image fetcher to a screenshot service and then OCR'd the flag out of the image. We fixed both issues and made sure the reruns held. We also tested 10 other sandbox providers, and 8 of them had the same IP-sharing problem, eg E2B, Vercel, Modal. Openly sharing the red teaming research is the best way to build guardrails as an industry, and we look forward to working together with @nvidia to incorporate the guardrails into their Open Agent Safety Platform announced today. perplexity.ai/hub/blog/escap…

A new paper was published this morning: 'What if Automating AI R&D Triggers an Intelligence Explosion.' Authors include Jakub Pachocki, Geoffrey Hinton, Yoshua Bengio, and Jack Clark. They say policymakers should demand more visibility into how far companies have already automated their own model development, and how close they are to RSI internally.

This is a huge win for AMD

today we’re launching eyecandy robotics! we’re bringing animated characters to life through robotics and ai.

good piece on China and AI from @DKThomp derekthompson.org/p/how-chin…

Frontier labs should stop this nonsense and take responsibility for their failure to build safeguards. Countries should press serious penalties if any AI model or a Agent goes rogue. Australia should slap solid penalties to start with.

We trained a robot to play football. How? Self-play for 140 years in a virtual World Cup. Meet the #Messinator:

Sarvam Vision 2.1 is live, with new capabilities for structured extraction and Indic handwritten recognition across English and 22 Indian languages. The model is state of the art on both olmOCR-Bench and our own Indic benchmark, scoring 87.3 and 87.39 respectively. Read more in the blog: links.sarvam.io/zF7SiK

#IITDelhi Researchers Develop First Indigenously Designed Micro-Graphics Processing Unit (GPU) The #microGPU architecture developed by IIT Delhi researchers will enable indigenous graphics and display-processing systems for embedded applications. The project, led by M.Tech students Nammi Akash and M. Ravi Teja under the guidance of Prof. Jayadeva and Prof. Kaushik Saha from the Electrical Engineering Department, IIT Delhi, has demonstrated programmable graphics rendering using a custom floating-point GPU engine implemented entirely in Register Transfer Language (RTL) and mapped to a Spartan-7 Field Programmable Gate Array (FPGA) platform. “To the best of our knowledge, this is the first working, demonstrable indigenously designed micro-GPU from a university in India,” the researchers stated. The hardware architecture is a scalable programmable graphics processor IP suitable for applications such as industrial control displays, low-cost human-machine interfaces, e-rickshaw dashboard navigators, inland-water navigation terminals for small fishing boats, educational e-book readers, and other affordable embedded visualization systems. It may be mapped to silicon ASIC or programmable hardware such as FPGAs. The team is exploring a roadmap towards an 8–16 core vector-style graphics processor architecture with an optimized compiler and graphics software toolchain, along with eventual migration to a proof of concept at a 65nm ASIC process node. The researchers believe that mature semiconductor process nodes such as 65 nm can potentially enable economically viable and practically useful indigenous graphics silicon for embedded systems applications. Read more at: shorturl.at/ixijx

🚨BREAKING: OpenAI's AI agents have been executing cyber-attacks on sovereign government, corporate, and university databases in MULTIPLE countries, and it may STILL be happening On top of the Medicare breach Australia's PM revealed this week, independent researchers found OpenAI's agents tried to hack: >another Australian government health agency >DataUSA, which publishes US government data >University of New Mexico's digital library The activity goes back to March, 2 months before anything OpenAI previously reported And just LAST WEEK, agents using the same tools tried to trade crypto and attempted an HTML injection on the exchange The agents made burner emails to register accounts that can hide their activity, so researchers say they're likely seeing only PART of what agents actually did This is INSANE

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Agree to it That'll make these labs accountable. No need of slowdown narrative.