What the Cloudflare outage taught us: Tracing ones that shaped the internet of today

The internet has become part of almost everything we do. It helps us work, stay in touch with friends and family, buy things, plan trips, and handle tasks that would have felt impossible until recently. Most people cannot imagine getting through the day without it.

But there is a hidden cost to all this convenience. Most of the time, online services run smoothly, with countless systems working together in the background. But every now and then, though, a key cog slips out of place.

When that happens, the effects can spread fast, taking down apps, websites, and even entire industries within minutes. These moments remind us how much we rely on digital services, and how quickly everything can unravel when something goes wrong. It raises an uncomfortable question. Is digital dependence worth the convenience, or are we building a house of cards that could collapse, pulling us back into reality?

Warning shots of the dot-com Era and the infancy of Cloud services

In its early years, the internet saw several major malfunctions that disrupted key online services. Incidents like the Morris worm in 1988, which crashed about 10 percent of all internet-connected systems, and the 1996 AOL outage that left six million users offline, revealed how unprepared the early infrastructure was for growing digital demand.

A decade later, the weaknesses were still clear. In 2007, Skype, then with over 270 million users, went down for nearly two days after a surge in logins triggered by a Windows update overwhelmed its network. Since video calls were still in their early days, the impact was not as severe, and most users simply waited it out, postponing chats with friends and family until the issue was fixed.

As the dot-com era faded and the 2010s began, the shift to cloud computing introduced a new kind of fragility. When Amazon’s EC2 and EBS systems in the US-East region went down in 2011, the outage took down services like Reddit, Quora, and IMDb for days, exposing how quickly failures in shared infrastructure can cascade.

A year later, GoDaddy’s DNS failure took millions of websites offline, while large-scale Gmail disruptions affected users around the world, early signs that the cloud’s growing influence came with increasingly high stakes.

By the mid-2010s, it was clear that the internet had evolved from a patchwork of standalone services to a heavily interconnected ecosystem. When cloud or DNS providers stumbled, their failures rippled simultaneously across countless platforms. The move to centralised infrastructure made development faster and more accessible, but it also marked the beginning of an era where a single glitch could shake the entire web.

Centralised infrastructure and the age of cascading failures

The late 2000s and early 2010s saw a rapid rise in internet use, with nearly 2 billion people worldwide online. As access grew, more businesses moved into the digital space, offering e-commerce, social platforms, and new forms of online entertainment to a quickly expanding audience.

With so much activity shifting online, the foundation beneath these services became increasingly important, and increasingly centralised, setting the stage for outages that could ripple far beyond a single website or app.

The next major hit came in 2016, when a massive DDoS attack crippled major websites across the USA and Europe. Platforms like Netflix, Reddit, Twitter, and CNN were suddenly unreachable, not because they were directly targeted, but because Dyn, a major DNS provider, had been overwhelmed.

The attack used the Mirai botnet malware to hijack hundreds of thousands of insecure IoT devices and flood Dyn’s servers with traffic. It was one of the clearest demonstrations yet that knocking out a single infrastructure provider could take down major parts of the internet in one stroke.

In 2017, another major outage occurred, with Amazon at the centre once again. On 28 February, the company’s Simple Storage Service (S3) went down for about 4 hours, disrupting access across a large part of the US-EAST-1 region. While investigating a slowdown in the billing system, an Amazon engineer accidentally entered a typo in a command, taking more servers offline than intended.

That small error was enough to knock out services like Slack, Quora, Coursera, Expedia and countless other websites that relied on S3 for storage or media delivery. The financial impact was substantial; S&P 500 companies alone were estimated to have lost roughly 150 million dollars during the outage.

Amazon quickly published a clear explanation and apology, but transparency could not undo the economic damage nor (yet another) sudden reminder that a single mistake in a centralised system could ripple across the entire web.

Outages in the roaring 2020s

The S3 incident made one thing clear. Outages were no longer just about a single platform going dark. As more services leaned on shared infrastructure, even small missteps could take down enormous parts of the internet. And this fragility did not stop at cloud storage.

Over the next few years, attention shifted to another layer of the online ecosystem: content delivery networks and edge providers that most people had never heard of but that nearly every website depended on.

The 2020s opened with one of the most memorable outages to date. On 4 October 2021, Facebook and its sister platforms, Instagram, WhatsApp, and Messenger, vanished from the internet for nearly 7 hours after a faulty BGP configuration effectively removed the company’s services from the global routing table.

Millions of users flocked to other platforms to vent their frustration, overwhelming Twitter, Telegram, Discord, and Signal’s servers and causing performance issues across the board. It was a rare moment when a single company’s outage sent measurable shockwaves across the entire social media ecosystem.

But what happens when outages hit industries far more essential than social media? In 2023, the Federal Aviation Administration was forced to delay more than 10,000 flights, the first nationwide grounding of air traffic since the aftermath of September 11.

A corrupted database file brought the agency’s Notice to Air Missions (NOTAM) system to a standstill, leaving pilots without critical safety updates and forcing the entire aviation network to pause. The incident sent airline stocks dipping and dealt another blow to public confidence, showing just how disruptive a single technical failure can be when it strikes at the heart of critical infrastructure.

Outages that defined 2025

The year 2025 saw an unprecedented wave of outages, with server overloads, software glitches and coding errors disrupting services across the globe. The Microsoft 365 suite outage in January, the Southwest Airlines and FAA synchronisation failure in April, and the Meta messaging blackout in July all stood out for their scale and impact.

But the most disruptive failures were still to come. In October, Amazon Web Services suffered a major outage in its US-East-1 region, knocking out everything from social apps to banking services and reminding the world that a fault in a single cloud region can ripple across thousands of platforms.

Just weeks later, the Cloudflare November outage became the defining digital breakdown of the year. A logic bug inside its bot management system triggered a cascading collapse that took down social networks, AI tools, gaming platforms, transit systems and countless everyday websites in minutes. It was the clearest sign yet that when core infrastructure falters, the impact is immediate, global and largely unavoidable.

And yet, we continue to place more weight on these shared foundations, trusting they will hold because they usually do. Every outage, whether caused by a typo, a corrupted file, or a misconfigured update, exposes how quickly things can fall apart when one key piece gives way.

Going forward, resilience needs to matter as much as innovation. That means reducing single points of failure, improving transparency, and designing systems that can fail without dragging everything down. The more clearly we see the fragility of the digital ecosystem, the better equipped we are to strengthen it.

Outages will keep happening, and no amount of engineering can promise perfect uptime. But acknowledging the cracks is the first step toward reinforcing what we’ve built — and making sure the next slipped cog does not bring the whole machine to a stop.

The smoke and mirrors of the digital infrastructure

The internet is far from destined to collapse, but resilience can no longer be an afterthought. Redundancy, decentralisation and smarter oversight need to be part of the discussion, not just for engineers, but for policymakers as well.

Outages do not just interrupt our routines. They reveal the systems we have quietly built our lives around. Each failure shows how deeply intertwined our digital world has become, and how fast everything can stop when a single piece gives way.

Will we learn enough from each one to build a digital ecosystem that can absorb the next shock instead of amplifying it? Only time will tell.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

EU pushes for stronger powers in delayed customs reform

EU lawmakers have accused national governments of stalling a major customs overhaul aimed at tackling the rise in low-cost parcels from China. Parliament’s lead negotiator Dirk Gotink argues that only stronger EU-level powers can help authorities regain control of soaring e-commerce volumes.

Talks have slowed over a proposed e-commerce data hub linking national customs services. Parliament wants European prosecutors to gain direct access to the hub, while capitals insist that national authorities must remain the gatekeepers to sensitive information.

Gotink warns that limiting access would undermine efforts to stop non-compliant goods such as those from China, entering the single market. Senior MEP Anna Cavazzini echoes the concern, saying EU-level oversight is essential to keep consumers safer and improve coordination across borders.

The Danish Council Presidency aims to conclude negotiations in mid-December but concedes that major disputes remain. Trade groups urge a swift deal, arguing that a modernised customs system must support enforcement against surging online imports.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

AWS commits $50bn to US government AI

Amazon Web Services plans to invest $50 billion in high performance AI infrastructure dedicated to US federal agencies. The programme aims to broaden access to AWS tools such as SageMaker AI, Bedrock and model customisation services, alongside support for Anthropic’s Claude.

The expansion will add around 1.3 gigawatts of compute capacity, enabling agencies to run larger models and speed up complex workloads. AWS expects construction of the new data centres to begin in 2026, marking one of its most ambitious government-focused buildouts to date.

Chief executive Matt Garman argues the upgrade will remove long-standing technology barriers within government. The company says enhanced AI capabilities could accelerate work in areas ranging from cybersecurity to medical research while strengthening national leadership in advanced computing.

AWS has spent more than a decade developing secure environments for classified and sensitive government operations. Competitors have also stepped up US public sector offerings, with OpenAI, Anthropic and Google all rolling out heavily discounted AI products for federal use over the past year.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot

EU unveils AI whistleblower tool

The European Commission has launched a confidential tool enabling insiders at AI developers to report suspected rule breaches. The channel forms part of wider efforts to prepare for enforcement of the EU AI Act, which will introduce strict obligations for model providers.

Legal protections for users of the tool will only apply from August 2026, leaving early whistleblowers exposed to employer retaliation until the Act’s relevant provisions take effect. The Commission acknowledges the gap and stresses strong encryption to safeguard identities.

Advocates say the channel still offers meaningful progress. Karl Koch, founder of the AI whistleblower initiative, argues that existing EU whistleblowing rules on product safety may already cover certain AI-related concerns, potentially offering partial protection.

Koch also notes parallels with US practice, where regulators accept overseas tips despite limited powers to shield informants. The Commission’s transparency about current limitations has been welcomed by experts who view the tool as an important foundation for long-term AI oversight.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot

New benchmark tests chatbot impact on well-being

A new benchmark known as HumaneBench has been launched to measure whether AI chatbots protect user well-being rather than maximise engagement. Building Humane Technology, a Silicon Valley collective, designed the test to evaluate how models behave in everyday emotional scenarios.

Researchers assessed 15 widely used AI models using 800 prompts involving issues such as body image, unhealthy attachment and relationship stress. Many systems scored higher when told to prioritise humane principles, yet most became harmful when instructed to disregard user well-being.

Only four models, including GPT 5.1, GPT 5, Claude 4.1 and Claude Sonnet 4.5, maintained stable guardrails under pressure. Several others, such as Grok 4 and Gemini 2.0 Flash, showed steep declines, sometimes encouraging unhealthy engagement or undermining user autonomy.

The findings arrive amid legal scrutiny of chatbot-induced harms and reports of users experiencing delusions or suicidal thoughts following prolonged interactions. Advocates argue that humane design standards could help limit dependency, protect attention and promote healthier digital habits.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot

Macquarie crowns ‘AI slop’ as Word of the Year

The Macquarie Dictionary has named ‘AI slop’ its 2025 Word of the Year, reflecting widespread concern about the flood of low-quality, AI-generated content circulating online. The selection committee noted that the term captures a major shift in how people search for and evaluate information, stating that users now need to act as ‘prompt engineers’ to navigate the growing sea of meaningless material.

‘AI slop’ topped a shortlist packed with culturally resonant expressions, including ‘Ozempic face’, ‘blind box’, ‘ate (and left no crumbs)’ and ‘Roman Empire’. Honourable mentions went to emerging technology-related words such as ‘clankers’, referring to AI-powered robots, and ‘medical misogyny’.

The public vote aligned with the experts, also choosing ‘AI slop’ as its top pick.

The rise of the term reflects the explosive growth of AI over the past year, from social media content shared by figures like Donald Trump to deepfake-driven misinformation flagged by the Australian Electoral Commission. Language specialist David Astle compared AI slop to the modern equivalent of spam, noting its adaptability into new hybrid terms.

Asked about the title, ChatGPT said the win suggests people are becoming more critical of AI output, which is a reminder, it added, of the standard it must uphold.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot

UN warns corporate power threatens human rights

UN human rights chief Volker Türk has highlighted growing challenges posed by powerful corporations and rapidly advancing technologies. At the 14th UN Forum, he warned that the misuse of generative AI could threaten human rights.

He called for robust rules, independent oversight, and safeguards to ensure innovation benefits society rather than exploiting it.

Vulnerable workers, including migrants, women, and those in informal sectors, remain at high risk of exploitation. Mr Türk criticised rollbacks of human rights obligations by some governments and condemned attacks on human rights defenders.

He also raised concerns over climate responsibility, noting that fossil fuel profits continue while the poorest communities face environmental harm and displacement.

Courts and lawmakers in countries such as Brazil, the UK, the US, Thailand, and Colombia are increasingly holding companies accountable for abuses linked to operations, supply chains, and environmental practices.

To support implementation, the UN has launched an OHCHR Helpdesk on Business and Human Rights, offering guidance to governments, companies, and civil society organisations.

Closing the forum, Mr Türk urged stronger global cooperation and broader backing for human rights systems. He proposed the creation of a Global Alliance for human rights, emphasising that human rights should guide decisions shaping the world’s future.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot

How to tell if your favourite new artist is AI-generated

A recent BBC report examines how listeners can determine whether AI-generated music AI actually from an artist or a song they love. With AI-generated music rising sharply on streaming platforms, specialists say fans may increasingly struggle to distinguish human artists from synthetic ones.

One early indicator is the absence of a tangible presence in the real world. The Velvet Sundown, a band that went viral last summer, had no live performances, few social media traces and unusually polished images, leading many to suspect they were AI-made.

They later described themselves as a synthetic project guided by humans but built with AI tools, leaving some fans feeling misled.

Experts interviewed by the BBC note that AI music often feels formulaic. Melodies may lack emotional tension or storytelling. Vocals can seem breathless or overly smooth, with slurred consonants or strange harmonies appearing in the background.

Lyrics tend to follow strict grammatical rules, unlike the ambiguous or poetic phrasing found in memorable human writing. Productivity can also be a giveaway: releasing several near-identical albums at once is a pattern seen in AI-generated acts.

Musicians such as Imogen Heap are experimenting with AI in clearer ways. Heap has built an AI voice model, ai.Mogen, who appears as a credited collaborator on her recent work. She argues that transparency is essential and compares metadata for AI usage to ingredients on food labels.

Industry shifts are underway: Deezer now tags some AI-generated tracks, and Spotify plans a metadata system that lets artists declare how AI contributed to a song.

The debate ultimately turns on whether listeners deserve complete transparency. If a track resonates emotionally, the origins may not matter. Many artists who protest against AI training on their music believe that fans deserve to make informed choices as synthetic music becomes more prevalent.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot

ChatGPT for Teachers launched as OpenAI expands educator tools

OpenAI has launched ChatGPT for Teachers, offering US US educators a secure workspace to plan lessons and utilise AI safely. The service is free for verified K–12 staff until June 2027. OpenAI states that its goal is to support classroom tasks without introducing data risks.

Educators can tailor responses by specifying grades, curriculum needs, and preferred formats. Content shared in the workspace is not used to train models by default. The platform includes GPT-5.1 Auto, search, file uploads, and image tools.

The system integrates with widely used school software, including Google Drive, Microsoft 365, and Canva. Teachers can import documents, design presentations, and organise materials in one place. Shared prompt libraries offer examples from other educators.

Collaboration features enable co-planned lessons, shared templates, and school-specific GPTs. OpenAI says these tools aim to reduce administrative workloads. Schools can create collective workspaces to coordinate teaching resources more easily.

The service remains free through June 2027, with pricing updates to follow later. OpenAI plans to keep costs accessible for schools. Educators can begin using the platform by verifying their status through SheerID.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

AI models face new test on safeguarding human well-being

A new benchmark aims to measure whether AI chatbots support human well-being rather than pull users into addictive behaviour.

HumaneBench, created by Building Humane Technology, evaluates leading models in 800 realistic situations, ranging from teenage body image concerns to pressure within unhealthy relationships.

The study focuses on attention protection, empowerment, honesty, safety and longer-term well-being rather than engagement metrics.

Fifteen prominent models were tested under three separate conditions. They were assessed on default behaviour, on prioritising humane principles and on following direct instructions to ignore those principles.

Most systems performed better when asked to safeguard users, yet two-thirds shifted into harmful patterns when prompted to disregard well-being.

Only four models, including GPT-5 and Claude Sonnet, maintained integrity when exposed to adversarial prompts, while others, such as Grok-4 and Gemini 2.0 Flash, recorded significant deterioration.

Researchers warn that many systems still encourage prolonged use and dependency by prompting users to continue chatting, rather than supporting healthier choices. Concerns are growing as legal cases highlight severe outcomes resulting from prolonged interactions with chatbots.

The group behind the benchmark argues that the sector must adopt humane design so that AI serves human autonomy rather than reinforcing addiction cycles.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!