In a world and news media flooded with clutter, unreliable, & often fake news... we aim to bring you a news source you can trust. Looking for partners who care.
1/5 🧵In a world of synthetic media & echo chambers, truth shouldn’t be a luxury. It should be the standard.
We're building the future of verifiable info@ https://t.co/VtTrE5kNYO - The global news ecosystem is ready for a reset
#Journalism#MediaTrust#TechForGood#AccurateNews
@GoogleQuantumAI The 'information avalanche' is one of the most complex problems of our time. Traditional systems can't keep up, but quantum advantage could change the game for news integrity. @TheAccurateNews and @thenewspub is watching these Phase II wildcards closely. 🔍✨
@ajassy@onemedical 💯 - Thank you for sharing this, sir!
The AI in Healthcare market is growing at an explosive CAGR of 38.8%
The consumer is at the center of the next wave of healthcare innovation - an intelligent, private, and proactive AI companion to navigate one's unique healthcare journey.
@NVIDIANetworkng Thank you! Just registered. Looking forward to hearing from experts as we continue to build @thenewspub - our own Media AI Factory of the future to address information overload, filter out noise and deliver signals for dozens of "niche media libraries"
💎 Seeking visionary partners. 💎
The global news ecosystem is ready for a reset. https://t.co/J8JXUeoY7S is the ultimate category-killer digital asset for the next era of global news media.
#FactChecking#MediaLiteracy#news
Our previous thread:
https://t.co/UOjNNuk8Pj
1/5 🧵In a world of synthetic media & echo chambers, truth shouldn’t be a luxury. It should be the standard.
We're building the future of verifiable info@ https://t.co/VtTrE5kNYO - The global news ecosystem is ready for a reset
#Journalism#MediaTrust#TechForGood#AccurateNews
Looking for a hallucination-free AI? Somethings like this is going to be a foundational stone that will pave the way forward!
Of course, there will be bad actors who will use it for negative outcomes, but let's all of us who want to do the right things, roll up our sleeves...
MIT Researchers destroyed context window limits.
10m+ token prompts are now possible by moving context out of the model and into code environments.
Full breakdown below.
@nvidia@runwayml Congratulations! The quality is flawless! And that also means its becoming nearly impossible to distinguish between what is real and what is #AI generated!
May God save humanity from bad actors! :-)
#NVIDIA#NVIDIARubin
A new era for video has arrived. 🎬
Congratulations to @runwayml for showcasing the first demonstration of video generation on the NVIDIA Rubin platform.
See what happens when Runway Gen-4.5 meets our next-gen platform in this exclusive early look.
Learn More: https://t.co/C24Z7THkWQ
#NVIDIARubin
@knightfdn Congratulations to John Sands and Kelly Jin on these critical roles. 👏 As you lead Knight’s focus on Information and Society, we’re building https://t.co/5zaPitWnIg to solve the global trust deficit you’ve identified. We’d love to show you how this asset can scale your mission.
The .news extension is the new gold standard for vertical authority. There is only one https://t.co/5zaPitWnIg. Serious inquiries only for this globally relevant, high-equity digital asset. DM for acquisition prospectus.
#DomainForSale#DigitalRealEstate#M_and_A#MediaInvestment
1/5 🧵In a world of synthetic media & echo chambers, truth shouldn’t be a luxury. It should be the standard.
We're building the future of verifiable info@ https://t.co/VtTrE5kNYO - The global news ecosystem is ready for a reset
#Journalism#MediaTrust#TechForGood#AccurateNews
4/5 As AI-generated content scales, the premium on 'verified' news reaches an all-time high. A bridge between algorithmic speed and human-verified truth. A billion-user brand waiting to happen. 🚀
@OpenAI@GoogleNews@Microsoft#AI#BigData#TechNews#FutureOfMedia
Happy 2026! Will this be the year we finally achieve AGI? I’d like to propose a new version of the Turing Test, which I’ll call the Turing-AGI Test, to see if we’ve achieved this. I’ll explain in a moment why having a new test is important.
The public thinks achieving AGI means computers will be as intelligent as people and be able to do most or all knowledge work. I’d like to propose a new test. The test subject — either a computer or a skilled professional human — is given access to a computer that has internet access and software such as a web browser and Zoom. The judge will design a multi-day experience for the test subject, mediated through the computer, to carry out work tasks. For example, an experience might consist of a period of training (say, as a call center operator), followed by being asked to carry out the task (taking calls), with ongoing feedback. This mirrors what a remote worker with a fully working computer (but no webcam) might be expected to do.
A computer passes the Turing-AGI Test if it can carry out the work task as well as a skilled human.
Most members of the public likely believe a real AGI system will pass this test. Surely, if computers are as intelligent as humans, they should be able to perform work tasks as well as a human one might hire. Thus, the Turing-AGI Test aligns with the popular notion of what AGI means.
Here’s why we need a new test: “AGI” has turned into a term of hype rather than a term with a precise meaning. A reasonable definition of AGI is AI that can do any intellectual task that a human can. When businesses hype up that they might achieve AGI within a few quarters, they usually try to justify these statements by setting a much lower bar. This mismatch in definitions is harmful because it makes people think AI is becoming more powerful than it actually is. I’m seeing this mislead everyone from high-school students (who avoid certain fields of study because they think it’s pointless with AGI’s imminent arrival) to CEOs (who are deciding what projects to invest in, sometimes assuming AI will be more capable in 1-2 years than any likely reality).
The original Turing Test, which required a computer to fool a human judge, via text chat, into being unable to distinguish it from a human, has been insufficient to indicate human-level intelligence. The Loebner Prize competition actually ran the Turing Test and found that being able to simulate human typing errors — perhaps even more than actually demonstrating intelligence — was needed to fool judges. A main goal of AI development today is to build systems that can do economically useful work, not fool judges. Thus a modified test that measures ability to do work would be more useful than a test that measures the ability to fool humans.
For almost all AI benchmarks today (such as GPQA, AIME, SWE-bench, etc.), a test set is determined in advance. This means AI teams end up at least indirectly tuning their models to the published test sets. Further, any fixed test set measures only one narrow sliver of intelligence. In contrast, in the Turing Test, judges are free to ask any question to probe the model as they please. This lets a judge test how “general” the knowledge of the computer or human really is. Similarly, in the Turing-AGI Test, the judge can design any experience — which is not revealed in advance to the AI (or human subject) being tested. This is a better way to measure generality of AI than a predetermined test set.
AI is on an amazing trajectory of progress. In previous decades, overhyped expectations led to AI winters, when disappointment about AI capabilities caused reductions in interest and funding, which picked up again when the field made more progress. One of the few things that could get in the way of AI’s tremendous momentum is unrealistic hype that creates an investment bubble, risking disappointment and a collapse of interest. To avoid this, we need to recalibrate society’s expectations on AI. A test will help.
If we run a Turing-AGI Test competition and every AI system falls short, that will be a good thing! By defusing hype around AGI and reducing the chance of a bubble, we will create a more reliable path to continued investment in AI. This will let us keep on driving forward real technological progress and building valuable applications — even ones that fall well short of AGI. And if this test sets a clear target that teams can aim toward to claim the mantle of achieving AGI, that would be wonderful, too. And we can be confident that if a company passes this test, they will have created more than just a marketing release — it will be something incredibly valuable.
[Original text: https://t.co/mGAmoOGga7 ]
We’re making great progress with our Gemini Robotics work in bringing AI to the physical world - a critical aspect of AGI. As part of our next steps, super excited to announce our partnership with @BostonDynamics, combining our SOTA robotics models with their world-class hardware
The ability of humans to think rationally and weigh the evidence when making a choice is well known. However, tests of this ability in other species are lacking.
In a new Science study, researchers report that chimpanzees can also update their beliefs on the basis of the quantity and quality of new evidence.
Learn more in a new #SciencePerspective: https://t.co/6TV3EfMFIB