Our second product is called Blindsight and it will, as the name suggests, enable even those who are completely blind or have never seen to see.
It is ready from an engineering standpoint. Just waiting on regulatory approval.
Neuralink’s first product is called Telepathy.
It enables high-speed communication with computers or humans simply by thinking. Output bandwidth will vastly exceed the fastest human speech or typing in a few years. Read that sentence again.
We’re releasing a broad range of new mathematical results produced by an internal frontier model.
We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.
github.com/openai/math
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We are entering a new era of discovery now:
openai.com/index/sharing-ai-…
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Meta has just unveiled their new VR glasses.
• Price: $1,299
• Available Spring 2027
• Weight: 100 grams, about the weight of a deck of cards
• Glasses contain the displays and sensors, while a separate puck houses the processor, battery and storage.
• 5K display with micro-OLED panels
• Pixel density: 37 pixels per degree
• Custom pancake lenses
• Dolby Vision
• Dolby Atmos
• No head straps
• Qualcomm Snapdragon Reality Elite chip
• Battery life: Up to 3 hours of continuous high-resolution media playback
• 45W fast charging
• Full-color passthrough cameras let you see your surroundings while wearing the glasses.
• Open-sided design
• Meta AI integrated directly into the operating system.
• Voice commands, eye tracking and natural hand gestures, with no controllers required
• First IMAX Enhanced-certified VR device, supporting select movies in IMAX's expanded aspect ratio.
• Disney+ will offer select 3D movies
• Streaming services: Partnerships with Disney+, Prime Video, YouTube, DIRECTV, AMC+, Crunchyroll, Plex, ESPN, Tubi and others
• Immersive live sports: Front-row viewing experiences with 8K streaming and 180-degree views
• Works with calling apps including WhatsApp and Zoom
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Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing.
We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive.
And for firms, it’s imperative that they retain full control over their unique and tacit knowledge. Every organization should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control.
So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this more than just talk.
The key is that this cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia.
This is the approach we are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the “Code of Conduct” that underlies our own first party MAI models that we’ll publish tomorrow for public consultation.
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
GPT-6 Astra is state-of-the-art on FrontierMath Tier 4, ARC-AGI 3, and TerminalBench-4.0.
GPT‑6 Astra is also a major advance for scientific discovery, with state-of-the-art performance on Terminal-Bench Science 0.1 and HealthBench Pro.
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SAM ALTMAN: “For every 38,000 ChatGPT queries, that is the same amount of water that is used in the production of a single almond in California.”
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Over the summer, we have been sprinting on safety priorities; it's more important than ever for capabilities and safeguards to advance together. We have more to do but have made a lot of progress. We are also going to be launching our next model soon.
There is an obvious tension here: on one hand, Astra is very good and we are excited to see what people will build with it. We are proud of our work.
On the other hand, we are clearly in a phase of development where we believe caution is warranted, and we are pacing our progress to ensure that we can meet the safety standards required by new capability levels.
Astra has been done training for a while now and is a significant step forward in both capabilities and alignment. For the models after that, we have been slowing things as needed to ensure that we can do sufficient work on safety and alignment.
AI is getting extremely capable; no one fully understands the consequences of this. Managing the transition to a world with abundant and powerful AI to optimize for safety and benefits to people should be one of the highest priorities in the world. It is our highest priority at OpenAI.
We have been living with the tension between being excited and anxious about progress for some time, and it is still discordant for us. We know it is much more discordant for other people. And yet, we believe strongly that the world needs to understand where AI is going and how models perform in the real world. More importantly, we believe the world will need aligned AI to manage the future phases of this transition.
An iterative loop where society and this technology evolve together is what will lead to the highest chance of getting this right.
So we hope you enjoy our new model, and we hope the world continues to take what’s happening in AI extremely seriously.
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Many drugs work by binding to a specific target in the body and blocking or changing what it does. An important first step in the drug development process is designing a molecule that can bind tightly to its target. Traditionally, that's meant weeks or months of expert work per target, sifting through a large number of candidates to identify the few that work.
We wanted to test if Claude could successfully design novel protein binders from scratch (also called de novo design). With a protein design prompt written by a human expert, Claude autonomously designed protein binders against 14 out of 15 targets.
We then worked with Adaptyv Bio and Twist Bioscience, who independently built and tested the proteins Claude designed.
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With cancer vaccines now being discovered with AI ($MRNA), it seems that the US government might actually grow its way out of its budget deficit.
It feels like we're in the early innings of the healthcare system becoming unburdened by many terminal illnesses.
Cancer vaccines coming… LFG!
GOLDEN AGE OF INTELLIGENCE AND PROBLEM SOLVING 🧠 🚀
WHAT A TIME TO BE ALIVE!!!
Positive results from a skin cancer vaccine trial are boosting $MRK and $MRNA shares.
Moderna's CEO and the President of Merck Research Laboratories share their thoughts on the encouraging data. cnb.cx/4y9CSmn
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Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community.
During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion.
That’s why we created the Open Secure AI Alliance.
AI security advances when the industry builds in the open, together.
We're introducing the Open Secure AI Alliance with industry leaders to develop new techniques and tools to safeguard software and agents.
By sharing models, tooling and research in the open, we can broaden the community of defenders.
Learn more about the founding members’ contributions: nvda.ws/4pD8Fc5
























