Italy hosts Amazon’s first European drone trial

Amazon has successfully conducted its first drone delivery test in Italy, marking the country as its initial European market for this innovative service. The trial took place on 4 December in San Salvo, Abruzzo, using Amazon‘s new MK-30 drone equipped with advanced computer vision for obstacle detection and safety.

The e-commerce giant aims to launch Prime Air drone deliveries in Italy and the United Kingdom by late 2024, subject to regulatory approvals. The service is already operational in select areas of Texas and Arizona, with plans for expansion.

Italy joins the UK as a focal point for Amazon’s European drone delivery ambitions, supported by local aviation regulators. Amazon’s technology promises safer, more efficient package delivery while navigating complex airspaces.

OpenAI explores AI tools to transform education

OpenAI is working to integrate AI into e-learning through customisable GPT tools, potentially revolutionising how students interact with academic content. According to Siya Raj Purohit of OpenAI‘s education team, professors are already using AI to create tailored course models, allowing students to engage with focused material. These tools could become staples in education, enabling personalised, lifelong learning.

The initiative complements OpenAI’s broader push into education, marked by the launch of ChatGPT Edu for universities and the hiring of former Coursera executive Leah Belsky. Despite these efforts, challenges remain as many educators express reservations about AI’s role in teaching. Tools like Khanmigo, developed with OpenAI, demonstrate AI’s potential but also reveal its current limitations, including accuracy issues.

With the education AI market expected to reach $88.2 billion, OpenAI is committed to refining its tools and addressing educators’ concerns to drive adoption in this burgeoning sector.

Google’s new AI sparks concerns over emotion detection

Google’s newest AI, the PaliGemma 2 model, has drawn attention for its ability to interpret emotions in images, a feature unveiled in a recent blog post. Unlike basic image recognition, PaliGemma 2 offers detailed captions and insights about people and scenes. However, its emotion detection capability has sparked heated debates about ethical implications and scientific validity.

Critics argue that emotion recognition is fundamentally flawed, relying on outdated psychological theories and subjective visual cues that fail to account for cultural and individual differences. Studies have shown that such systems often exhibit biases, with one report highlighting how similar models assign negative emotions more frequently to certain racial groups. Google says it performed extensive testing on PaliGemma 2 for demographic biases, but details of these evaluations remain sparse.

Experts also worry about the risks of releasing this AI technology to the public, citing potential misuse in areas like law enforcement, hiring, and border control. While Google emphasises its commitment to responsible innovation, critics like Oxford’s Sandra Wachter caution that without robust safeguards, tools like PaliGemma 2 could reinforce harmful stereotypes and discriminatory practices. The debate underscores the need for a careful balance between technological advancement and ethical responsibility

Australian researchers develop the world’s first bionic eye to restore vision

Scientists at Monash University in Australia have unveiled the groundbreaking ‘Gennaris Bionic Vision System,’ a revolutionary technology to restore sight for millions of blind individuals. Unlike traditional treatments, the system bypasses damaged optic nerves, directly sending visual signals to the brain’s vision centre.

A compact camera worn by the user works in tandem with up to 11 tiny wireless implants placed on the brain’s surface. The implants stimulate brain cells with minute electrical pulses, allowing users to perceive basic shapes and outlines, offering a 100-degree field of view for a more natural visual experience.

The innovation follows nearly a decade of research and has shown promising results in animal studies. Human trials are now set to begin in Melbourne, Australia, marking a critical milestone in blindness treatment. If successful, the Gennaris Bionic Vision System could redefine possibilities for those living without sight, bringing a transformative medical advancement closer to reality.

OpenAI enters defence sector with Anduril partnership

Anduril Industries and OpenAI have announced a partnership to advance AI applications for US national security. The collaboration will focus on enhancing counter-unmanned aircraft systems (CUAS), crucial for detecting and neutralising airborne drone threats.

By leveraging Anduril’s extensive CUAS data, AI models will be trained to respond to aerial threats in real time. OpenAI’s CEO, Sam Altman, highlighted the goal of safeguarding military personnel through these advanced AI solutions.

This partnership reflects the escalating global competition in AI-powered autonomous defence technologies, as nations like the United States and China race to innovate in automated military systems. Founded in 2017, Anduril specialises in autonomous systems, including drones and other tactical assets.

AI startup Cleerly raises $106M for heart disease detection

Cleerly, an AI-driven cardiovascular imaging startup, has raised $106 million in a Series C extension round led by Insight Partners. The company, founded by cardiologist James Min, uses advanced software to analyze CT scans and detect early-stage coronary artery disease before symptoms appear. This innovative approach aims to improve preventive care for heart conditions, which remain the leading cause of death in the US.

The technology has already received FDA clearance for diagnosing symptomatic patients and recently gained Medicare approval for its plaque analysis test. Cleerly’s software provides a less invasive and more accurate alternative to traditional diagnostics like stress tests or angiograms. With a compounded annual growth rate exceeding 100% over the past four years, the company is poised to expand further as health insurers increasingly cover its tests.

The latest funding will support Cleerly’s ongoing multi-site clinical trials and future growth. Insight Partners’ involvement highlights the growing confidence in AI-driven solutions for healthcare. While facing competition from companies like HeartFlow and Elucid, Cleerly’s goal of screening the global population for heart disease positions it as a potential leader in this emerging market.

New FDIC system targets fintech risks

The Federal Deposit Insurance Corporation (FDIC) has begun directly monitoring financial technology (fintech) companies partnering with banks across the United States. New system like this one aims to enhance oversight by identifying risks associated with these partnerships before they threaten banking stability. The monitoring system also allows regulators to maintain consistent supervision, even if fintech firms change their banking partners.

The move comes amid heightened scrutiny of bank-fintech collaborations, following the collapse of Synapse Financial Technologies in April. The startup, backed by Andreessen Horowitz, had provided critical services enabling fintech firms to offer financial products via FDIC-insured banks. Its failure left thousands of users without access to their funds and brought significant regulatory attention to the sector.

In response, the FDIC has proposed strengthening bank record-keeping requirements and expanding the definition of brokered deposits to include fintech-related funds. While these rules are not expected to take effect before 2025, the new monitoring framework provides examiners with an additional tool to safeguard financial stability without waiting for legislative approval.

FDIC Chairman Martin Gruenberg, who is stepping down in January, has played a central role in developing this regulatory approach. His leadership has been pivotal in navigating the challenges posed by the evolving relationship between traditional banking and fintech startups.

Open source (still) means innovations

There is no need to explain the importance of the global network innovation we enjoy today. Many lines have been written on the possibilities and the marvels the network delivers daily. After an initial couple of decades of admiration, the same thing happened with many other wonders of the world we witnessed throughout civilization. We took it for granted. We do not discuss its structure, backbone, and the incentive structure behind it. Unless it interferes with our daily life and freedom.

This is true for any network user, being a state actor, cloud computing company, or everyday end user. When we look at the backbone of the internet, almost everything is open source. What does this mean? Basic protocols and ways we connect over the internet are documented and open for everyone to observe, copy, and build upon. They are agreed upon as a set of transparent public instructions that are free of proprietary obligations. 

Industry and innovation 

To distinguish innovation from the industry (which might be important to go forward), we can introduce a simple correlation: The industry is an ecosystem that emerged on the need to make the invention more available. The vision of utility is in the industry, and the value of innovation is proven with every iteration of utility. Following this correlation, we can indeed say that the more transparent innovation, the greater its value (or we tend to give it such a position).

When we look at the internet industry, we observe that companies and strategies that followed openness have benefited massively from the invention. This system of benefits from the open source approach can work in depth for both the invention and the consequential industry. To name a couple of the greatest examples: Alphabet (Google, YouTube, or Maps), Linux (used to run almost the entire internet backbone infrastructure), Android (revolutionising the app market, levelling the entry field, and reducing the digital divide). All of them are open source, built on the open-source innovation of the internet.

 Architecture, Building, Diagram, CAD Diagram

A closer look at resiliency

Let’s look at one example that may illustrate this precisely: bitcoin. It started as an open-source project and is still one of the most maintained public databases on the internet. Bitcoin brings back the idea of private money after 100 years of the nation’s monopoly on money. Although it is pointed out as a danger to the international financial system, there is no possible coordinated action by such entities to take down this system and/or ban it permanently. Why? The simple answer is in the trade-off. 

Stopping bitcoin (or any digital information online) is not impossible per se but would require massive resources. This would require full control of all communication channels towards the internet, including banning satellites from orbiting above your geolocation and persistent efforts to ensure no one is breaching the ban. But in 2024, such a ban would create a tear in the fabric of society. Societal consequences would widely overcome the possible benefits.

Instead, as long as it is neutral, bitcoin does not present a threat but rather an opportunity for all. All other competitors built on bitcoin principles are not the same for that particular reason: they are not open source and transparent. No Central Bank Digital Currency (CBDC), privately issued stablecoin, or any of the thousand cryptocurrency impersonators have proven to hold any of the bitcoin’s value. Following the earlier distinction, innovation is open source, but the industry around it is not so much.

Open source is the right way, not the easy one

Does the above mean that when an industry is not based on open source, it cannot make great discoveries and innovate further? No, not at all. Intellectual property is a large part of the portfolio of the biggest tech companies. For example, Apple’s IP revenues culminated in around USD 22.6 billion in research and development expenditures (in 2022) The proprietary industry moves the needle in the economy and creates wealth, while open source creates opportunities. We need both for a healthy future. All of our opportunities may not result in imminent wealth, but rather in inspiration to move forward rather than oppose the change. 

In simple terms, open source empowers the bottom-up approach to building for the future. It helps expand the base of possible contributors, and maybe most importantly, reduces the possibility of ending up in ‘knowledge slavery’. It can create a healthy, neutral, starting point. The one most will perceive as a chance rather than a threat. 

If all of you had one particular innovation in mind while reading all this, you are right!

Artificial intelligence (AI) is a new frontier. AI is actually a bit more than just a technology, it is an agent. Anyhow, it is an invention, so chances are high it will follow the path we described above, enabling an entirely new industry of utility providers.

No need to be afraid

We hear all the (reasonable) concerns about AI development. Uncertainties on whether AI should be developed beyond human reach and concerns regarding AI in executive positions, all are based on fear of systems with no overview.  

In the past, the carriers of the open source (openness and transparency) approach were mostly in academia. Universities and other research institutions contributed the most to the open source approach. It is a bit different in the AI field. For that, companies are leading the way.  

The power to preserve common knowledge is still in the hands of states, and under the set of business and political circumstances, the private sector is also the biggest proponent of the open source approach. With the emergence of large language models and generative AI, the biggest open source initiatives came from Meta (LLaMa) and Alphabet (T5). They align with the incentive to statute open source as a standard for the future. We might be in an equilibrium moment in which both sides agree on the architecture for the future. Nations, international organisations, and the private sector should seize this opportunity. This new race toward more efficient technology of the future should evoke optimism, but there cannot be one without the bottom- up and open source approach to innovation. 

The open source approach is still the way forward for innovation. and can build neutral ground, or at least will not be perceived as a threat.

Read more of our ideas about the way forward in AI governance on the humAInism page

South Korea plans to open crypto trading to universities by 2025

South Korea is preparing to introduce a major shift in cryptocurrency regulations, with plans to allow universities and public institutions to trade crypto by 2025. According to reports, the Financial Services Commission (FSC) aims to roll out a roadmap enabling government bodies, universities, and eventually corporations to participate in the crypto market. The move reflects growing interest in aligning with global trends as South Korea seeks to catch up with nations like the US and Japan, where corporate crypto investments are already common.

The first phase of the FSC’s plan would permit universities and non-profit organisations to sell and trade cryptocurrencies they have received as donations. For example, Seoul National University has been unable to sell WEMIX tokens donated by a gaming firm due to regulatory barriers. Critics argue that this cautious approach has held back South Korean firms from benefiting from strategies that have boosted asset values abroad.

Long-term plans include allowing private companies and financial institutions to trade crypto, with safeguards to prevent excessive market risks. Regulators aim to limit the percentage of company capital held in crypto, ensuring stability while fostering growth in the virtual asset industry. This cautious yet progressive framework signals South Korea’s intent to balance innovation with financial security in the evolving crypto landscape.

Meta eyes nuclear energy to power AI and data centres

Meta has announced plans to harness nuclear energy to meet rising power demands and environmental goals. The company is soliciting proposals for up to 4 gigawatts of US nuclear generation capacity, with projects set to commence in the early 2030s. By doing so, it aims to support the energy-intensive requirements of AI and data centre operations.

Nuclear energy, according to Meta, offers a cleaner, more reliable solution for diversifying the energy grid. Power usage by US data centres is projected to triple by 2030, necessitating about 47 gigawatts of new capacity. However, challenges such as regulatory hurdles, uranium supply issues, and community resistance may slow progress.

The tech giant is open to both small modular reactors and traditional large-scale designs. Proposals are being accepted until February 2025, with a focus on developers skilled in community engagement and navigating complex permitting processes. An official statement highlighted nuclear’s capital-intensive nature, which demands a thorough request-for-proposals process.

Interest in nuclear power among tech firms is growing. Earlier agreements by Microsoft and Amazon have set precedents for nuclear-powered data centres. Meta’s latest initiative underscores a broader shift towards innovative energy solutions within the industry.