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Mustafa Suleyman on Microsoft's new multi-agent "diagnostic orchestrator": The aim is to simulate AI as a medical diagnostician -- it asks patients questions, reviews tests, and keeps improving its diagnosis we trained it using hundreds of case histories from the New England Journal of Medicine, used as weekly doctor...

41,349 Aufrufe • vor 1 Jahr •via X (Twitter)

11 Kommentare

Profilbild von Haider.
Haider.vor 1 Jahr

video source complete detail about Agent

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Mobile Scannervor 1 Jahr

Scan any documents, convert images into text, PDF files, etc. 👍

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akimvor 1 Jahr

Multi ai agent is the real future of agent

Profilbild von Michal
Michalvor 1 Jahr

"it's like an ultimate crossword for doctors" - what does that sentence mean?

Profilbild von MemeCoinTracker (MCT)
MemeCoinTracker (MCT)vor 1 Jahr

Alpha tech, WAGMI

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Pankaj Kumarvor 1 Jahr

Fascinating! But I wonder about the ethical implications of AI diagnostics. Will patients trust machines with their health concerns?

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summitbytesvor 1 Jahr

How does it perform on healthbench? The lack of such results raises questions as to whether this is better than o3

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vitrupovor 1 Jahr

To scale Perplexity, CEO Aravind Srinivas says large models now label, evaluate, and train smaller ones. The system handles millions of queries daily. Human evaluation is no longer the bottleneck. “An AI has to do this job.”

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Chubby♨️vor 1 Jahr

For whom it may concern: Scientists found a molecule that can cure baldness by waking up dormant hair folicles

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Chrisvor 1 Jahr

🚨 BREAKING: While doing some deep dives on Figure, I discovered that the venture firm leading Figure’s Series C funding has quietly posted Figure’s Version 3 model directly on their website before Figure has officially announced or revealed it. Big leak? 👀

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Wes Rothvor 1 Jahr

Grok 4’s leaked benchmark just dropped a bombshell. The chart shows xAI’s model hitting a jaw-dropping 45% on HLE (Humanities Last Exam) — an exam so brutal it was designed to keep LLMs humble: •2,500 expert-written questions across 100+ disciplines •14 % multimodal (text + images) •Anti-memorization traps and a hidden test set to block “cheat-training” For context, most frontier models stumble far below this score. If the leak holds up, Grok 4 just cleared one of the toughest gauntlets in AI benchmarking.

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How AI Can Supercharge GDP and Bring Down Costs in the Medical Field On E232, Thomas Laffont explained how at a recent event he hosted, there was a lot of talk about AI having a more positive impact on GDP than previously thought. "There was a lot of talk on the GDP side, what if AI can increase productivity and regrow GDP faster than expectations?" He gave an example of doctors using an AI tool to 10x productivity: "Even taking doctors as an example, this new company comes in and develops kind of a diagnosis engine." "And already a third of US physicians are on the platform using it 10x a day to help diagnoses." "You multiply that by the legal profession, coding I think we're already seeing." "What if we just see an explosion of productivity gains across both the physical and the digital economy?" Friedberg broke down how this could also increase patient access and reduce costs while growing GDP: "The doctor one is a good example. If someone had the opportunity to go get more regular preventative checkups, they would." "The problem is, it's very expensive, it's hard to get an appointment, or insurance won't cover it." "But if the cost to a doctor goes down because they can leverage AI, the throughput goes up by 10x." "They can see 10x as many patients per day. Then suddenly diagnostic care becomes more available." "They can charge for that. They don't need to charge the same amount." "The price will come down per checkup, more people will be able to get a checkup per day." "So that grows GDP in diagnostic care."

The All-In Podcast

31,353 Aufrufe • vor 1 Jahr

People often say that we need immigration because without it, the NHS would collapse. This just is not true. At the moment, we're not training enough medics in this country - but this is a choice. We do not need to rely on staff from overseas. The NHS has a deeply unusual setup when it comes to its workforce. The Government sets the rules for who can qualify as a medical professional, decides how many medical training places to offer, and controls the flow of medical graduates into the NHS. It decides how much to charge students, and under what conditions. And because the NHS is by far the country's main employer of medical professionals, the Government also has effective control over the pay and conditions of those who qualify, and is responsible for deciding where medical trainees go, and when. So the Health Service isn't subject to the same labour market forces as other organisations. The Government controls both the supply *and* the demand of its own workforce. In 2025, we had 15,723 British-trained doctors competing for 12,833 NHS training posts. Those British-trained doctors had already been whittled down from the thousands of people who apply to train as doctors every year, of whom only half are accepted. Hundreds of those rejected each year have three A* grades at A Level. The reason that we don't offer more medical degrees is because, at the moment, the NHS doesn't have enough training places for British-trained doctors. But at the same time, under the current system, British-trained doctors aren't given priority when it comes to the training places that we *do* have. So not only were those 15,723 British-trained doctors competing with each other for just 12,833 training places, they were also competing with 25,257 doctors trained overseas. This is rubbish for those British doctors, and a colossal waste of money for the rest of us, because it costs taxpayers about a quarter of a million pounds to educate each doctor to the point of graduating. But perhaps this means the NHS gets the very best doctors? No. In fact, doctors trained overseas are 2.5 times more likely to be referred to the GMC, the regulator responsible for maintaining standards in the medical profession. The GMC hears cases relating to professional misconduct and medical malpractice. Exchanging British-trained doctors for those trained overseas is not always a like-for-like swap. But here’s the craziest twist of all. The training places we do have are *randomly allocated*. No priority for British doctors, despite the fact we’ve paid to teach them. And no priority for the best graduates, despite the fact we need their skills. Top performing students have no choice over where they go, and aren't given priority when allocating new training places. They often have to wait months to find out where they're being posted, and will often receive very little notice before being asked to pick up sticks and relocate to another part of the country. Last summer, one of my constituents qualified as a doctor. He graduated with one of the very highest marks in the year, in the top three, from one of the most competitive medical schools in the country. He is clearly an outstanding student and will make an incredible doctor. In any sane system he would have been placed immediately, and been able to choose his location and specialism to keep him incentivised and happy within the NHS, and to make the most of his obviously considerable talents. Instead, because of the mismanagement of places and the lottery system, he wasn’t placed in the first round of allocations. He wasn’t placed in the second round. He wasn’t even placed in the third round, or even the fourth. With less than four weeks to go he still had no placement and no sense of where he would be spending the next few years of his life, including whether he might be able to live close to his partner, another doctor qualifying at the same time as him. He might not have got a training placement at all. Fortunately, the Government is looking to change the system, so that British-trained doctors are prioritised for training places. This is a great change. We need to train more medical professionals in this country, including doctors. The Health Service does not need to rely on overseas doctors - there is plenty of talent right here. But we also need a system which prizes excellence, and provides clarity for medical trainees. The most talented, British-trained graduate doctors should clearly get top priority, and should be able to operate within a system that makes it possible to plan their lives and build a career here. Both medical trainees and patients would benefit from such a system. The alternative is more talented British doctors going abroad, and more reliance on migration.

Katie Lam

187,051 Aufrufe • vor 5 Monaten

A catastrophic wave of iatrogenic illness is sweeping through the medical community itself. Thousands of doctors who complied with the COVID-19 vaccine mandates are now becoming patients, suffering from sudden heart attacks, strokes, blood clots, and aggressive "turbo cancers." As Dr. Makis states: "99% of doctors took the shots. They went all in on the COVID vaccine fraud, and now they are paying the price." The consequences are dire and already unfolding: - A Silent Plea for Help: Vaccine-injured physicians are now seeking help in secret, ashamed to admit their injuries. They are quietly asking for treatments like Ivermectin and Fenbendazole. - The Great Retirement: Instead of working into their 70s, doctors in their 40s are closing their practices and retiring early due to debilitating health issues. We are losing our most experienced caregivers at an alarming rate. This is not a simple staffing shortage. This is a systemic collapse of the human capital within medicine. So, what will fill this void? It won't be foreign doctors or new graduates. The system is breaking too fast. The replacement is already being prepared: Artificial Intelligence. Within the next five years, AI will begin its rapid integration into clinical practice, not as a tool for doctors, but as their replacement. The mass disabling of the medical profession is creating the vacuum that technology is poised to fill. The digital transformation of medicine is coming, and it is being accelerated by a tragic, man-made health crisis. The frontline has shifted from the ICU to the very integrity of the medical profession.

Camus

310,450 Aufrufe • vor 8 Monaten

The same kinds of productivity gains we've seen in coding with AI agents are heading to the rest of knowledge work. This is the jump when you go from having a chatbot to being able to actually have an agent go off and do work for minutes or even hours and come back with a complete work output that you then review. Here's an example of the new Box Agent filling out an RFP response from an existing knowledge base. This process would normally take hours to fill out, and requires the full attention of the user doing the work. Now, you provide the Box Agent with the RFP questions, and it will go off, make a plan, extract all the relevant questions, read through existing source material to come up with an answer, and then generate a new word document as the final output. All while you're doing something else. The key to this architecture is that the agent is able to use all of the same tools in the background that a user uses to get work done. The agent can search for documents, read entire files, run scripts and tools in the background, and even be able to write code on the fly to automate tasks it hasn't seen before. And best of all, the Box Agent will (soon) work from the Box MCP and CLI so you can invoke it in any agentic system as a step in a process. This kind of agent complexity would have been impossible even 6 months ago. Models consistently failed at tracking long running tasks or using the right tools at the right moment for the task. But this is all now possible because of models like GPT-5.4, Opus 4.6, and Gemini 3, and is only getting better by the month. Just as we moved from engineers writing code and using AI as an assistant to answer questions, in many areas of knowledge work -like legal, finance, consulting, sales, marketing, and more- when we have a problem we'll just kick off the AI agent to just go work on it for us in the background.

Aaron Levie

24,618 Aufrufe • vor 3 Monaten