Nick Ayton

One of the better and more objective articles recently on the record missalocation of capital, with still no investigative journalism shining a light on whether it's even necessary. Also precious little discussion on legal and technical risks. “What is the real benefit?” said Jim Tierney, a growth stock investor at AllianceBernstein, voicing a common concern. “All of these companies are spending a huge amount of money,” he added, with a resulting hit to profit margins that would become “more noticeable in 2025”. This week's earnings did reveal a few things, not much of which was surprising. One was that organizations are spending more on cloud revenue -- that's in part due to lack of competitive alts. Another was that Google's tech bench and related AI technology is doing better than Microsoft -- in part due to MSFT's legacy conflicts in the enterprise, and security challenges. A third was that AWS is still eating the lunch of competitors, despite high and uncertain costs. I'll extend some credit including to MSFT for tamping down the hype just a bit. Need more of it. However, what's needed is to scale better alternatives to LLMs. I would be remiss if not yet again pointing out the first and still by far the best known EAI OS in our KOS. We invented the EAI OS nearly three decades ago. It's beyond time that we start getting credit where credit is due. Wall Street frets over Big Tech’s $200bn AI spending splurge - https://on.ft.com/40poTet via @FT

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At the recent TOKEN2049 event in Dubai, Polkadot's inventor Dr Gavin Wood announced the Grey Paper to Jam which is seen in some ways as a successor to Polkadot. In the article below I go over his conversation with the Kusamarian and talk about: - What Jam's Grey Paper is all about - Going beyond Polkadot's current constrains by implementing Jam in the future - The advantages of Jam Core - The Exploration of New Economic Models for Polkadot I will soon do a deep dive article on Jam. If you want to receive The Unchained Web's news articles, opinions and other content, then subscribe to the publication! #technology #finance #economics #polkadot #blockchain

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I had a fascinating chat with Richard Murray co-founder and CEO of ORCA Computing about quantum computing market, datacentres and what it takes to grow a quantum startup, for BI Foresight. Link below 👇 #quantum #innovation #businessinnovation

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Dan thank you for sharing this. As the UK general election approaches, the rise of deepfakes and disinformation is significantly impacting voter perceptions. Blackbird.AI’s analysis reveals that AI-generated content, including deepfake audio and visual clips, is being widely circulated to undermine political candidates and sway public opinion. Additionally, bot-like amplification on social media is spreading misleading narratives and false information. These tactics are not only creating confusion but also eroding trust in the democratic process. To combat these challenges, platforms like Blackbird.AI are essential in identifying and mitigating the spread of disinformation. The US will definitely see these same tactics in the near future!

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🚨BRILLIANT🚨 The #EU 🇪🇺 just built an #AI tool called 'Archibot' or 'Ask the EP Archives' that makes all the EP archives available through AI 👏 Using #Claude, their archives of about 2.1M documents are now (hopefully) easier to navigate with #GenAI We need more of experimental AI deployment like this! Obviously, this is one of the best ways to use LLMs - build tools like Archibot - that can help us search the EU archives... Something most of us are very excited to do... 🙄 Only the The EU AI Act consists of 180 recitals (introductory statements), 113 Articles, and multiple annexes detailing specific requirements and classifications 🤯 Clearly, #Archibot would be useful to go through that 🤷‍♂️ ▶ Check it out yourself: https://lnkd.in/dxBUfhnx ▶ Click the button that says 'Online access to Archival Documents' ▶ Click the 'Select dashboard' menu at the top right and choose 'Content analysis' ▶ Click 'Ask the EP Archives' tab on the main page (second tab) Enjoy! #llms #anthropic #languagemodels #artificialintelligence #generativeai #europe #europeanunion #archiving #euregulation #regulation #airegulation

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Can AI diagnose better than Doctors? A new study says yes - and this was a totally unexpected conclusion... A recently published study explored whether the diagnostic performance of doctors improves when they use large language models (LLMs). The study concluded that the improvement in diagnostic accuracy was insignificant - doctors using LLMs achieved a median diagnostic reasoning score of 76%, compared to 74% for doctors relying only on conventional resources. But then, the researchers found something much more interesting: "An unexpected secondary result was that the LLM alone performed significantly better than both groups of humans... Comparing LLM alone with the control group found an absolute score difference of 16 percentage points favoring the LLM alone." To put it plainly, the LLM on its own scored a staggering 90% (!) on diagnostic reasoning, outperforming both doctors with and without AI assistance. Does this mean doctors should be out of the loop? The researchers concluded: "The LLM alone outperformed physicians even when the LLM was available to them, indicating that further development in human-computer interactions is needed to realize the potential of AI in clinical decision support systems". Link to the full article in the comments. What do you think? Would you prefer to be diagnosed by an AI instead of a human doctor, if its performance is proven to be superior?

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Well said: "The government’s wait-and-see attitude to AI has caused confusion and chaos—and that it’s “high time to legislate”. ➤ The financial services industry urgently requires appropriate AI legislation. ➤ Personal financial data needs robust legal protection. ➤ Board directors need clear AI regulations to fulfil their responsibilities. Operating in chaos and confusion is simply not an option. #DecodingAI® #AIRegulation

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Pleasantly surprised after Gemini replies to the following question - Why are Susskind and Weinstein having a feud in physics? - with a reasonably good answer, but also and more importantly references. It is not yet as rich as search results, but I can see how it could become more useful. https://lnkd.in/d4yqaNWB

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Great conversation about the serious implications of AI. With P Doom (humanity’s extinction) predicted to be at 70%, it’s time to end the profit driven hype and focus on how we make sure AI stays safe and useful. https://lnkd.in/gEDMiUq7 #AIsafety #humansfirst #AIandFreedom

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Know your north star and understand how VCs work. I spoke to Dimitrios Stoimenou from Mercia Ventures about investing in quantum computing, 6G, advanced materials and AI for BI Foresight #businessinnovation #techinnovation #startups

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Is Europe at risk of regulating itself out of the AI race? According to Vinod Khosla, the U.S. holds an advantage over its European counterparts due to more rational business environments, potentially hindering Europe's dominance in technology sectors. Khosla suggests that European regulations have limited their leadership in AI, social media, and internet startups. What competitive implications does this hold for Europe in the coming decade? #ai #artificialintelligence #machinelearning #deeptech #datascience #EU #europeancompetitiveness #neuralnetworks #naturallanguageprocessing #bigdata

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Moderna is a case study on how to integrate AI with business operations. Sam Altman hits the nail on the head, “Eventually, AI will be able to do more and more science. But the best way to get there is to enhance the productivity of people and accelerate what they can do.” Super insightful article (yet again) from Isabelle Bousquette. #ai #middlemarket #cfo

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AI Needs Common Sense I really enjoyed this post by Gary Marcus on Substack yesterday. Good examples of why GenAI gets things wrong, and explanations of why it's unlikely to improve. While reading the article I kept thinking of Doug Lenat's work at Cyc, which aimed to give AI an understanding of how the world really operates...stuff that we as humans see as common sense...and then Gary cites Doug at the end of the article. This is a longer read at 10-15 minutes, but well worth it IMHO.

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Today's announcement by Kier Starmer on a new plan to "turbocharge" the UK's AI sector marks a significant turning point. This ambitious plan, backed by major tech investments, has the potential to position the UK as a global leader in AI innovation and drive substantial economic growth. Key aspects of the plan, such as the creation of AI Growth Zones and a National Data Library, demonstrate a proactive approach to harnessing the power of AI . It's an exciting time for the UK, and I'm eager to see how this plan unfolds and shapes the future of AI in the country. #AI #UK #Innovation #Technology #EconomicGrowth #FutureOfWork #Finance #AML #KYC #AgenticAI #Automation

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A Quantum Leap: Are We Approaching Quantum’s ChatGPT Moment?   The applications of quantum computing are set to revolutionise every industry, and disrupt companies that are not readying themselves to use them. It will solve both known and unknown problems, unlocking extraordinary opportunities. Finance: Transforming risk assessment, portfolio management, and insurance risk can help us create a financial system to include everyone making it infinitely larger. Healthcare: Accelerating drug discovery and creating new materials could create fully personalised versions of what we know as medicine. Cybersecurity: Enhancing fraud detection and protection could enable new levels of both privacy and visibility simultaneously. AI: Using Quantum methods on data can massively increase speed and reduce energy consumption taking these technologies to completely new levels. Science & Research: Pushing the boundaries of what’s possible in science and beyond. Crypto & Blockchain: There are also a number of ways that Quantum Computer processing could disrupt existing blockchains and cryptocurrencies and allow the creation of Quantum secured blockchains.   Quantum computing challenges everything we think we know. Qubits entangle instantaneously regardless of distance, natural quantum crystals exist for mere milliseconds, errors caused by temperatures above absolute zero, and outcomes vanish upon observation. It’s a field as hard to explain as it is transformative.   An ex-IBM executive recently said, “Quantum computing is taking longer than going to the moon.” But like Elon Musk’s ambitions which are Mars (not the moon), maybe our targets are simply too modest. Quantum computing, much like interplanetary exploration, could redefine our existence. By working with probabilities instead of binary logic, it offers the power to model our world with unprecedented speed and precision. Quantum Computing is no longer a distant dream, it’s here, now, and already in use. Just like GPT in 2020, the technology exists and is quietly making waves. Platforms like Amazon Braket are bringing quantum capabilities to those ready to explore them. The field is simply waiting for its “ChatGPT moment” to capture global attention. With various forms such as Quantum Photonics and Qubit-based systems already developed, the challenge now is merely scaling them. And every major government is involved. We feel this November marked a pivotal moment for the quantum sector. In the stock market Quantum Computing Inc is up almost 5x, D-Wave and IonQ havealmost doubled. There also significant breakthroughs on (almost) every front ... Read the full piece at https://lnkd.in/eMicv_RD

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So no OpenAI voice for the UK! From reading this then does this act impact all Omni LLM models that have any for of sentiment analysis - or even non LLM's for that matter... The wording in the act identifies "Banned applications" as follows: The new rules ban certain AI applications that threaten citizens’ rights, including biometric categorisation systems based on sensitive characteristics and untargeted scraping of facial images from the internet or CCTV footage to create facial recognition databases. Emotion recognition in the workplace and schools, social scoring, predictive policing (when it is based solely on profiling a person or assessing their characteristics), and AI that manipulates human behaviour or exploits people’s vulnerabilities will also be forbidden. I can't see anywhere that suggests that this technology should be banned. It does specifically call for more transparency and rules around these models, which may be a reason that a release would be delayed. If anyone is able to shed more light on this it would be appreciated... and before anyone asks, I am no longer sure of what 'EU rules' apply to the UK since we left so no point asking me that one either. https://lnkd.in/ebcd24ze

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