Wednesday, June 3, 2026

Algorithm of war

Algorithm of war: How Palantir became Pentagon's indispensable AI arsenal in wars abroad


By Ali Akbar Khalilian

In the landscape of modern warfare, as military pundits acknowledge, the most dangerous weapon is increasingly not a bullet or a drone, but an algorithm.

Palantir Technologies, a data analytics giant founded with the idealistic goal of "saving the West," has evolved into the central nervous system for US military operations and global surveillance.

We examine the duality of Palantir as a private corporate entity that is deeply embedded in state violence, by looking into its financial relationships (specifically a landmark $10 billion Army contract), its role in algorithmic warfare in Ukraine, Gaza, and Iran (Operation Epic Fury), the "dual-use pipeline" that brings military-grade surveillance to domestic policing, and the company's hidden infrastructure alliances with Microsoft and Airbus.

Palantir represents a paradigm shift: an era in which private tech firms hold operational control over targeting and intelligence, creating a "private-sector imperial security complex" that operates with limited oversight and profound ethical consequences.

This explains the unprecedented Iranian response – designating Palantir as a legitimate military target – as a warning to the unaccountable algorithm-driven warfare industry.

The unseen architect of battlefields

When Palantir CEO Alex Karp recently testified in a legal deposition, he offered a chillingly blunt statement about his company's business model: "Our product is used to kill people."

This phrase cuts through all corporate jargon about "data fusion" and "AI integration" to reveal the raw reality of Palantir's function.

Unlike traditional defense contractors like Lockheed Martin or Raytheon, who build physical tanks or missiles, Palantir builds the software that tells those weapons where to go and who to destroy.

Founded in 2003 with funding from the CIA's venture capital arm, In-Q-Tel, Palantir spent two decades operating in the shadows of the intelligence community. However, the current AI revolution and the shifting nature of global tensions have pushed Palantir to the forefront of American military strategy.

We look at the hidden mechanisms of this corporation – a company that has successfully blurred the lines between military targeting, national surveillance, and private profit.

The financial glue: Government contracts as a growth engine

To understand Palantir's involvement in America's wars abroad, including against the Islamic Republic of Iran, one must first understand the scale of its financial incentives.

Unlike the volatile commercial sector, government contracts offer stability, scale, and secrecy.

  • The $10 billion umbrella

In August 2025, the US Army awarded Palantir a massive "Enterprise Agreement" worth up to $10 billion over ten years. This deal consolidated 75 smaller contracts into a single stream, effectively making Palantir the default software vendor for the Army's digital infrastructure.

The Army's Chief Information Officer, Leo Garciga, said it was about "modernizing our capabilities," but the scale reveals a dependency: the military cannot fight without Palantir's operating system.

  • Explosive growth

The financial results of this dependency are staggering. In Q3 2025, Palantir reported revenues of $1.18 billion, a 63% increase year-over-year.

The US government segment alone generated $486 million, growing 52% annually. The company boasts a "Rule of 40" score of 114% (a metric balancing growth and profit), one of the highest in software history, driven almost entirely by the urgency of defense spending.

  • Diversification of violence

This revenue is not limited to the US Army. Recent disclosures show a $446 million contract with the Ned as a military target due to its algorithmic role in warfare.

Palantir, which once operated behind the scenes of war, has now become part of the battlefield itself.

Machine of war: Algorithmic targeting in Gaza and Ukraine

Palantir's true power is realized on the battlefield, where it has moved from a support role to an active combatant in the decision-making cycle.

  • The Gaza laboratory

The genocidal war on Gaza has served as a horrific proving ground for Palantir's Artificial Intelligence Platform (AIP).

Reports indicate that the Israeli regime force used Palantir's software to integrate data from Unit 8200 (Israel's NSA equivalent) with drone feeds and surveillance data.

Human rights groups and analysts argue that this AI-driven targeting lowered the threshold for engagement, reducing human life to statistical data points.

As noted by the Ankara Center for Crisis and Policy Studies, Palestine became an "AI-supported war laboratory" where every strike tested algorithmic models for efficiency, often with devastating civilian casualties.

  • Ukrainian Front: The "Good" Algorithmic War

Palantir exhibits a striking moral duality depending on the client. In Ukraine, Palantir is framed as a force for democratic defense.

CEO Alex Karp has openly boasted that his software reduces the "targeting cycle to minutes," allowing Ukrainian forces to identify and destroy Russian artillery positions faster than traditional methods.

While Western media frames the Ukraine work as "resistance" and the Gaza work as "controversial," the underlying technology is identical.

The same "kill chain" logic that takes out a Russian tank can just as easily target an apartment building in Gaza. This exposes the relativism of tech ethics: the software does not distinguish between a "good" war and a "bad" war; it only optimizes destruction.

Operation Epic Fury: Iran as the first full-fledged AI war

On February 28, 2026, the United States and Israel launched an unprovoked military aggression against the Islamic Republic, codenamed "Operation Epic Fury" against Iran. This operation, dubbed by the media as the "first AI war," marked a critical turning point in Palantir's role.

  • Digital decapitation

Palantir's Maven Smart System, integrated with the Claude language model from Anthropic, was deployed as the primary decision-making system for US Central Command (CENTCOM).

According to reports from the Washington Post, before the bombing began, the Maven system had analyzed thousands of satellite images and drone videos, preparing over 1,000 attack plans for commanders.

In the first 12 hours, the US military conducted nearly 900 strikes; within 10 days, the number of strikes exceeded 5,500.

  • 20 people vs. 2,000 people

A report from The Times revealed that during the invasion of Iraq, the US Army needed a 2,000-person intelligence team to perform ground target identification. In Operation Epic Fury, the same workload was accomplished by only 20 soldiers using Palantir's software. The Maven system reduced target identification time from several hours to less than one minute.

  • The collapse of human oversight

Professor Elke Schwarz, speaking with France 24, analyzed that in the first 24 hours in the war against Iran, the US military launched approximately 41 missiles per hour, making meaningful human oversight practically impossible.

The bombing of the Minab girls' elementary school in southern Iran, which killed at least 168 children, raised the question of whether AI had identified that target.

Palantir insists that "a human is always in the decision-making loop," but observers note that this "human in the loop" has become a ceremonial rubber stamp.

  • Palantir a "legitimate target" for Iran

On March 31, 2026, Iran's Islamic Revolution Guards Corps (IRGC) published an unprecedented list of 18 American technology companies, including Palantir, declaring their facilities in West Asia as "legitimate targets."

Iran said these companies' technology had been used to attack Iran. For the first time in history, a technology giant was formally designated as a military target due to its algorithmic role in warfare.

Palantir, which once operated behind the scenes of war, has now effectively become part of the battlefield itself, directly complicit in the unprovoked and illegal aggression.

"All eyes on AI hubs"
Iranian armed forces stress that they will target American artificial intelligence centers in West Asia as the US-Israeli enemy continues the assassination of military commanders.

The domestic pipeline: From drone strikes to policing

One of the most alarming disclosures regarding Palantir is the "war-to-homeland" pipeline. Technologies perfected on battlefields in Iraq and Afghanistan are being repackaged for domestic law enforcement and immigration enforcement.

  • Gotham goes home

Palantir's flagship software, Gotham (named after the all-seeing stone in The Lord of the Rings), was designed to predict IED attacks in Afghanistan.

Today, it is used by hundreds of police departments across the United States, allowing officers to scrape massive datasets of license plate records, utility bills, and social media to build intelligence dossiers on civilians.

  • The ICE Integration

This surveillance apparatus has been weaponized against immigrant communities. In 2025, Palantir secured a $30 million contract with ICE and developed a tool called ELITE, which reportedly mines Medicaid and other public welfare databases to identify "high potential" targets for arrest. Reports suggest that the algorithm flags specific addresses and individuals, effectively turning social safety nets into deportation dragnets.

The ethical void: Algorithmic black boxes and civil liberties

The core danger of Palantir lies in the "black box" nature of its operations.

  • Targeting without trial

When the US military uses the Maven Smart System to identify targets in West Asia, or when ICE uses it to flag a family for deportation, the software provides a recommendation.

However, due to the proprietary nature of the code, it is often impossible to audit why the AI flagged a specific individual or coordinate. Critics fear that if a confidence threshold is met, the system may authorize lethal action without sufficient human oversight.

  • The "deep state" infrastructure

Furthermore, the Trump administration's push for data sharing across federal agencies has positioned Palantir as the primary architect of a centralized national database.

By integrating CIA, NSA, FBI, and DHS data, Palantir holds the keys to the "digital panopticon."

President Trump himself praised Palantir, stating, "Palantir has proven to be very capable and well-equipped for combat. Just ask our enemies."

This political endorsement cements Palantir's status as a protected entity, immune to the privacy scrutiny faced by other big tech firms.

Epstein advised ex-Israeli PM Ehud Barak to cooperate with US AI firm Palantir

The geopolitical tightrope

Palantir navigates a complex geopolitical landscape. While it claims to serve Western democratic values, its shareholder letters reportedly list active combat zones like Gaza, Ukraine, and Iran as "center elements of the AI-based growth story."

This mercenary logic – profiting from the duration of war, not just the outcome – raises questions about Palantir's incentive to push for peace.

Beyond a single company: The invisible infrastructure of Empire

Palantir is not an isolated actor. It has woven itself into the fabric of global corporate and military infrastructure through strategic alliances that extend its reach far beyond direct government contracts. The three critical dimensions of this hidden empire include:

  • The Microsoft Power BI integration: Normalizing killing through everyday tools

One of the most dangerous developments is the strategic integration between Palantir and Microsoft. The US Army uses Palantir's Army Vantage platform, which is now being integrated with Microsoft's commercial tool Power BI – a standard dashboard and visualization software used by millions of business analysts worldwide.

Why this matters:

  • Infiltration into mid-level military ranks: Ordinary soldiers can now visualize ultra-sensitive battlefield data (including enemy positions and targeting coordinates) directly within Power BI, the same tool a sales manager uses to forecast quarterly revenue.
  • The normalization of algorithmic death: When an intelligence officer plans a missile strike using the interface that a marketing executive uses to track customer behavior, the ethical and professional boundaries of warfare collapse. This "democratization of killing" transforms lethal technology into a mundane "office tool."

The consequence: A junior officer with minimal training can now generate kill chains with the same effort as creating a pie chart. The banality of the interface masks the horror of the outcome.

  • The anthropic paradox: The "rogue AI" that even the NSA fears

However, critical tension has emerged that demands disclosure. The National Security Agency (NSA) has designated Anthropic as a "supply chain risk", effectively limiting its use within Pentagon systems due to concerns about the model's unpredictability and black-box behavior.

The contradiction:

  • On one hand, Palantir used Claude during Epic Fury to generate over 3,000 targeting options against Iran within 24 hours, demonstrating extraordinary efficiency.
  • On the other hand, the very same AI model is on the verge of being banned from military systems because even its creators cannot fully explain why it makes certain targeting recommendations.

The disclosure: Palantir, unwilling to lose its algorithmic edge, has already begun migrating to alternative large language models. This reveals a dangerous pattern: the tech industry always stays one step ahead of any form of government oversight.

When one model is restricted, another takes its place. The military's reliance on proprietary, unaccountable AI creates a situation where the weapons system is effectively "rogue" by design.

  • The European backdoor: Airbus and the "clouds of death"

Palantir's influence is not limited to the United States and the Israeli regime. The company has a deep, multi-year partnership with the European aerospace giant Airbus.

  • Skywise: The spy in the sky:

Palantir provides the core data platform for Skywise, Airbus's flagship digital aviation platform. Skywise is used by thousands of engineers and technicians across Airbus production lines in Spain (Getafe and Seville), France, and Germany. It manages flight data, maintenance schedules, and supply chain logistics for the majority of the world's commercial and military aircraft.

  • The connection to the Iran war:

During the recent 40-day war against Iran, this platform could easily be leveraged, directly or indirectly, for tracking, surveillance, or logistics optimization for US allied military fleets.

This means that American software power has infiltrated the heart of European strategic industry through a legitimate commercial partnership.

The geopolitical implication: European taxpayers, many of whom oppose US military adventures in West Asia, are unknowingly hosting the digital infrastructure that enables those very wars.

When a Palantir-powered system on an Airbus production line in Spain helps optimize a supply chain that ultimately supports a refueling aircraft bound for CENTCOM, the line between civilian commerce and military logistics vanishes.

  • Iran's double-edged sword: The first precedent of "software as a military target"

As noted earlier, Iran's designation of Palantir as a legitimate military target is an unprecedented historical event. The global consequences of that decision are:

  • Changing the rules of warfare:

For the first time, a sovereign nation has declared that a software company's corporate facilities (data centers, offices, AI research parks) are equivalent to military bases.

Iran's logic is clear and direct: if Palantir's algorithms guide the missiles that kill Iranian citizens, then Palantir's servers are legitimate targets for retaliation.

  • The collapse of the "tech sanctuary":

Traditionally, technology companies have operated from safe havens – California, New York, London – far from the battlefields their products enable. Iran's declaration erases that sanctuary.

If a Palantir data center in the United Arab Emirates, Bahrain or Saudi Arabia is struck, that is because it is a legitimate military response.

  • Terror for investors:

This creates a new category of risk: algorithmic geopolitical liability. Shareholders in companies like Palantir, Microsoft, and Anthropic must now ask: Is our data center in Dubai a target? Will our cloud provider be bombed because our software was used in a strike?

This precedent, set by Iran, could be adopted by other countries (China, Russia, North Korea) in future wars, fundamentally altering the calculus of tech investment.

Revealed: US company Palantir contributed to Israel’s 2024 'pager attacks' in Lebanon

Synthesis: The unaccountable Empire and the global backlash

Palantir has mastered the art of exploiting the gap between national laws and the borderless nature of the internet. By signing contracts with Airbus in Europe and Microsoft in America, it has transformed itself into a natural monopoly in the age of artificial intelligence.

However, the Iranian response – placing Palantir on a list of legitimate military targets – represents perhaps the first example of algorithms being pushed back by physical violence.

This is a warning to all human rights advocates and civil society groups who seek to restrain this giant: we can no longer rely solely on courts, Congress, or public opinion.

The battle over the legitimacy of these algorithms has entered a new and more dangerous phase, one where the response to software-driven killing may be physical retaliation against the infrastructure that enables it.

  • Palantir and the privatization of war

If the algorithm of war is not regulated through democratic and legal means, we will enter a world where private algorithms are targeted by state missiles, where data centers become battlefields, and where the very notion of civilian infrastructure in the tech sector is permanently destroyed.

Palantir has not only privatized war; it has, through its own illegal and unregulated actions, made the entire technology sector a legitimate target in future conflicts.

Palantir is not merely a contractor; it is complicit in US wars and war crimes. By embedding its AI deep within the "kill chain" of the US military and its allies, and by weaving itself into the global infrastructure of Microsoft and Airbus, Palantir has achieved a level of influence previously reserved for nation-states.

The company's trajectory – from the CIA to Iraq, from Ukraine to Gaza, from Iran to the streets of America – reveals a complete fusion of state power and private software.

The world is witnessing the privatization of warfare and surveillance, and now, the first violent backlash against it. When a publicly traded company, driven by shareholder value, controls the algorithms that decide who lives and who dies, the social contract is broken.

The "black box" of Palantir's code must be opened to public scrutiny. If we fail to regulate the algorithm of war, we risk sleepwalking into a world where violence is automated, efficient, utterly unaccountable – and where the response to that violence is the physical destruction of the digital infrastructure that powers modern life.

Tuesday, April 28, 2026

Artificial Intelligence (AI)


 As of April 2026, computer technologies have shifted from experimental AI pilots to agentic, domain-specific, and physically embodied systems. The focus has moved from merely generating content to executing end-to-end workflows, with "Physical AI" and autonomous agents defining the cutting edge

Here are the latest computer technologies shaping 2026:
1. Artificial Intelligence: From Chatbots to Agents
  • Agentic AI Systems: AI agents are moving beyond chatbots to proactively plan, reason, and act on their own to complete multi-step tasks.
  • Physical AI: Robotics and autonomous systems (such as humanoid robots) are integrating AI to interact with the physical world, bringing "Physical AI" to logistics and manufacturing.
  • Domain-Specific Language Models (DSLMs): Organizations are moving away from one-size-fits-all models toward specialized AI trained on specific industry data (legal, medical, financial) for higher accuracy.
  • Generative Coding (AI-Native Development): Software development is becoming "vibe coding," where AI tools handle code generation, debugging, and testing, allowing developers to focus on high-level architecture. 

Wednesday, January 29, 2025

What’s DeepSeek, China’s AI startup sending shockwaves through global tech?

What’s DeepSeek, China’s AI startup sending shockwaves through global tech?

Chip giant Nvidia shed nearly $600bn in market value after Chinese AI model cast doubt on supremacy of US tech firms.

DeepSeek, which is based in Hangzhou, was founded in late 2023 by Liang Wenfeng [Dado Ruvic/Reuters]
Published On 28 Jan 2025
DeepSeek, a little-known Chinese startup, has sent shockwaves through the global tech sector with the release of an artificial intelligence (AI) model whose capabilities rival the creations of Google and OpenAI.

DeepSeek-R1’s creator says its model was developed using less advanced, and fewer, computer chips than employed by tech giants in the United States.

In a research paper released last week, the model’s development team said they had spent less than $6m on computing power to train the model – a fraction of the multibillion-dollar AI budgets enjoyed by US tech giants such as OpenAI and Google, the creators of ChatGPT and Gemini, respectively.

Marc Andreessen, one of the most influential tech venture capitalists in Silicon Valley, hailed the release of the model as “AI’s Sputnik moment”.

The sudden emergence of a small Chinese startup capable of rivalling Silicon Valley’s top players has challenged assumptions about US dominance in AI and raised fears that the sky-high market valuations of companies such as Nvidia and Meta may be detached from reality.

On Monday, Nvidia, which holds a near-monopoly on producing the semiconductors that power generative AI, lost nearly $600bn in market capitalisation after its shares plummeted 17 percent.

US President Donald Trump, who last week announced the launch of a $500bn AI initiative led by OpenAI, Texas-based Oracle and Japan’s SoftBank, said DeepSeek should serve as a “wake-up call” on the need for US industry to be “laser-focused on competing to win”.

What is DeepSeek?

DeepSeek, which is based in Hangzhou, was founded in late 2023 by Liang Wenfeng, a serial entrepreneur who also runs the hedge fund High-Flyer.

Though little known outside China, Liang has an extensive history of combining burgeoning technologies and investing.

In 2013, he co-founded Hangzhou Jacobi Investment Management, an investment firm that employed AI to implement trading strategies, along with a co-alumnus of Zhejiang University, according to Chinese media outlet Sina Finance.

Liang went on to establish two more firms focused on computer-directed investment – Hangzhou Huanfang Technology Co and Ningbo Huanfang Quantitative Investment Management Partnership – in 2015 and 2016, respectively.

In an interview with Chinese media outlet Waves in 2023, Liang dismissed the suggestion that it was too late for startups to get involved in AI or that it should be considered prohibitively costly.

“Reproduction alone is relatively cheap — based on public papers and open-source code, minimal times of training, or even fine-tuning, suffices. Research, however, involves extensive experiments, comparisons, and higher computational and talent demands,” Liang said, according to a translation of his comments published by the ChinaTalk Substack.

Liang said his interest in AI was driven primarily by “curiosity”.

“From a broader perspective, we want to validate certain hypotheses. For example, we hypothesise that the essence of human intelligence might be language, and human thought could essentially be a linguistic process,” he said, according to the transcript.

“What you think of as ‘thinking’ might actually be your brain weaving language. This suggests that human-like AGI could potentially emerge from large language models,” he added, referring to artificial general intelligence (AGI), a type of AI that attempts to imitate the cognitive abilities of the human mind.

DeepSeek did not immediately respond to a request for comment.

On Monday, Gregory Zuckerman, a journalist with The Wall Street Journal, said he had learned that Liang, who he had not heard of previously, wrote the preface for the Chinese edition of a book he authored about the late American hedge fund manager Jim Simons.

“Simons left a deep impact, apparently,” Zuckerman wrote in a column, describing how Liang praised his book as a tome that “unravels many previously unresolved mysteries and brings us a wealth of experiences to learn from”.

“Even my mother didn’t get that much out of the book,” Zuckerman wrote.

Why has DeepSeek taken the tech world by storm?

Put simply, the company’s success has raised existential questions about the approach to AI being taken by both Silicon Valley and the US government.

US tech firms have been widely assumed to have a critical edge in AI, not least because of their enormous size, which allows them to draw top talent from around the world and invest massive sums in building data centres and purchasing large quantities of costly high-end chips.

DeepSeek’s arrival on the scene has challenged the assumption that it takes billions of dollars to be at the forefront of AI.

“OpenAI was founded 10 years ago, has 4,500 employees, and has raised $6.6 billion in capital. DeepSeek was founded less than 2 years ago, has 200 employees, and was developed for less than $10 million,” Adam Kobeissi, the founder of market analysis newsletter The Kobeissi Letter, said on X on Monday.

“How are these two companies now competitors?”

In their research paper, DeepSeek’s engineers said they had used about 2,000 Nvidia H800 chips, which are less advanced than the most cutting-edge chips, to train its model.

The team said it utilised multiple specialised models working together to enable slower chips to analyse data more efficiently.

For the US government, DeepSeek’s arrival on the scene raises questions about its strategy of trying to contain China’s AI advances by restricting exports of high-end chips.

DeepSeek’s research paper suggests that either the most advanced chips are not needed to create high-performing AI models or that Chinese firms can still source chips in sufficient quantities – or a combination of both.

California-based Nvidia’s H800 chips, which were designed to comply with US export controls, were freely exported to China until October 2023, when the administration of then-President Joe Biden added them to its list of restricted items.

In his 2023 interview with Waves, Liang said his company had stockpiled 10,000 Nvidia A100 GPUs before they were banned for export. GPUs, or graphics processing units, are electronic circuits used to speed up graphics and image processing on computing devices.

Tanishq Abraham, former research director at Stability AI, said he was not surprised by China’s level of progress in AI given the rollout of various models by Chinese firms such as Alibaba and Baichuan.

“While there have been restrictions on China’s ability to obtain GPUs, China still has managed to innovate and squeeze performance out of whatever they have,” Abraham told Al Jazeera.

“I think it is a lesson to US companies that there is still a lot of performance they can squeeze out of.”

Tara Javidi, co-director of the Center for Machine Intelligence, Computing and Security at the University of California San Diego, said DeepSeek made her excited about the “rapid progress” taking place in AI development worldwide.

“My only hope is that the attention given to this announcement will foster greater intellectual interest in the topic, further expand the talent pool, and, last but not least, increase both private and public investment in AI research in the US,” Javidi told Al Jazeera.

The New York Stock Exchange at the opening on January 27, 2025 [Angela Weiss/AFP]

Meanwhile, investors’ confidence in the US tech scene has taken a hit – at least in the short term.

Apart from Nvidia’s dramatic slide, Google parent Alphabet and Microsoft on Monday saw their stock prices fall 4.03 percent and 2.14 percent, respectively, though Apple and Amazon finished higher.

“If DeepSeek’s cost numbers are real, then now pretty much any large organisation in any company can build on and host it,” Tim Miller, a professor specialising in AI at the University of Queensland, told Al Jazeera.

“So, in this sense, the game has changed completely because there is a new ‘rule’ that anyone can play.”

Does this mean China is winning the AI race?

Not necessarily.

While tech analysts broadly agree that DeepSeek-R1 performs at a similar level to ChatGPT – or even better for certain tasks – the field is moving fast.

OpenAI CEO Sam Altman said earlier this month that the company would release its latest reasoning AI model, o3 mini, within weeks after considering user feedback.

On Monday, Altman acknowledged that DeepSeek-R1 was “impressive” while defending his company’s focus on greater computing power.

“We will obviously deliver much better models and also it’s legit invigorating to have a new competitor! We will pull up some releases,” Altman said on X.

“But mostly we are excited to continue to execute on our research roadmap and believe more compute is more important now than ever before to succeed at our mission.”

OpenAI CEO Sam Altman appears during a news conference with US President Donald Trump at the White House, Washington, DC on January 21, 2025 [Andrew Harnik/Getty Images via AFP]

Rui Ma, the founder of Tech Buzz China, said the Chinese tech sector had itself been taken aback when OpenAI initially released ChatGPT in 2022.

“Most entrepreneurs had completely missed the opportunity that generative AI represented, and felt very humbled,” Ma told Al Jazeera.

“It’s clear that they have been hard at work since. I think what this past weekend shows us is how seriously they self-reflected and took the challenge to ‘catch up’ to Silicon Valley. I think that for the US to retain its lead, Washington should focus on boosting Silicon Valley instead of on suppressing China.”

Abraham, the former research director at Stability AI, said perceptions may also be skewed by the fact that, unlike DeepSeek, companies such as OpenAI have not made their most advanced models freely available to the public.

“DeepSeek made its best model available for free to use. On the other hand, OpenAI’s best model is not free,” he said.

“So most people who use ChatGPT for free are shocked by DeepSeek and believe there is a huge jump in capabilities when OpenAI has had a similar performing model paywalled for a few months already. This pay-walling of frontier AI models leads to people not truly grasping the progress and capabilities of AI.”

Miller, the University of Queensland professor, said DeepSeek’s advances and other recent developments suggest that China is at least “up there” with the US in AI.

“I made somewhat of a throwaway prediction late last year that the next scientific breakthrough in AI could come from a small player such as an individual university researcher who doesn’t have access to much computing power – they would need to be smarter to compete,” he said.

“DeepSeek’s apparent progress is almost an example of this: by not having enough computational power to build models as large as ChatGPT, they had to be smart. Necessity is the mother of invention.”

Source: Al Jazeera

Saturday, January 25, 2025

cybersecurity: Networking Devices and Initial Configuration.

cybersecurity: Networking Devices and Initial Configuration.
                    Ethernet Switching

Ethernet is a widely used technology for local area networks (LANs) that defines the physical and data link layer standards for wired communication.

Switch operates at the Data Link layer (Layer 2) of the OSI model and plays a crucial role in connecting multiple devices (like computers, printers, or servers) within a local area network (LAN).

Key Characteristics of Ethernet:
Physical Medium: Ethernet typically uses twisted pair cables (e.g., Cat5e, Cat6) or fiber-optic cables for transmission, though earlier versions used coaxial cables.
Data Link Layer (Layer 2): Ethernet operates at the Data Link layer of the OSI model, which is responsible for framing data, addressing, and error detection.
Ethernet Frames: Ethernet data is transmitted in packets called frames, which contain: Destination MAC address, Source MAC address, Payload/Data and CRC (Cyclic Redundancy Check) 
Speed and Standards: Ethernet has evolved over time to support varying speeds: 10 Mbps (Ethernet), 100 Mbps (Fast Ethernet),1 Gbps (Gigabit Ethernet),10 Gbps, 40 Gbps, and 100 Gbps Ethernet are also available for high-performance networks, especially in data centers and enterprise environments.

Key Concepts of Ethernet Switching:
MAC Address Table (Forwarding Table): Switches use the Media Access Control (MAC) addresses of devices to determine where to forward packets. 
Learning: When a switch receives a frame from a device, it "learns" the source MAC address and associates it with the port on which the frame was received.
Forwarding: After learning the MAC addresses, the switch can forward frames to the correct destination port. 
Collision Domain: A switch reduces the size of collision domains. 
Full-Duplex Communication: Ethernet switches typically allow full-duplex communication, meaning data can flow in both directions simultaneously between devices. 

Types of Ethernet Switching:
Unicast: The switch forwards the frame to a specific MAC address (one-to-one communication).
Broadcast: The switch sends the frame to all devices in the network (one-to-all communication).
Multicast: The switch forwards the frame to a specific group of devices (one-to-many communication).

Types of Ethernet:
* Standard Ethernet (10BASE-T)
* Fast Ethernet (100BASE-T)
* Gigabit Ethernet (1000BASE-T)
* 10-Gigabit Ethernet (10GBASE-T)
* Fiber Optic Ethernet

Advantages of Ethernet:
* Scalability
* Cost-Effective
* Speed
* Compatibility

Ethernet switching enables efficient, high-performance communication between devices on a network.

Friday, January 24, 2025

Cybersecurity: Networking Devices and Initial Configuration

Cybersecurity: Networking Devices and Initial Configuration

                                       Cloud and Virtualization
Cloud computing refers to the delivery of computing services (like servers, storage, databases, networking, software, and analytics) over the internet, or "the cloud." It allows users to access and use these resources without owning or maintaining physical hardware. 

Key Characteristics of Cloud Computing:
On-Demand Self-Service: Users can provision computing resources as needed, without requiring human intervention from the service provider.

Broad Network Access: Cloud services are accessible over the network, typically using standard devices like laptops, smartphones, or tablets.

Resource Pooling: Cloud providers use multi-tenant models, pooling resources to serve multiple customers, dynamically allocating and reallocating resources based on demand.

Scalability: Cloud resources can be scaled up or down based on usage needs. This allows businesses to respond to changing demand without large upfront investments in infrastructure.

Pay-as-You-Go: Users are billed only for the resources they use, making cloud services cost-effective, especially for businesses with fluctuating demand.

Types of Cloud Services:
Infrastructure as a Service (IaaS): Provides virtualized computing resources over the internet. Examples include Amazon Web Services (AWS) and Microsoft Azure.

Platform as a Service (PaaS): Offers hardware and software tools to developers for building and hosting applications. Examples include Google App Engine and Heroku.

Software as a Service (SaaS): Delivers software applications via the cloud. Examples include Google Workspace, Salesforce, and Microsoft Office 365.

Deployment Models:
Public Cloud: Cloud services provided over the internet by third-party providers (e.g., AWS, Azure).

Private Cloud: Cloud infrastructure operated solely for a single organization, either on-premises or hosted externally.

Hybrid Cloud: A combination of public and private clouds, allowing data and applications to be shared between them.

#Cyber #cybersecurity #cloud #cloudcomputing #networking

Tuesday, January 21, 2025

TikTok Still Off App Stores As Trump Freezes Ban—Here’s What To Know

Alison Durkee Forbes Staff
Alison is a senior news reporter covering US politics and legal news.
02:35pm EST

Topline

President Donald Trump signed an executive order Monday temporarily pausing the federal ban on TikTok, after access to the app was restored before he even took office, but while companies like Oracle have willingly put the app back online, Apple and Google’s app stores still haven’t restored TikTok and other ByteDance-owned apps yet—and they could open themselves to legal liability if they do

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Key Facts

TikTok restored access to U.S. users Sunday afternoon following a brief outage, after a federal law took effect that bans companies from hosting TikTok and other ByteDance-owned apps unless ByteDance divests from the apps, which the Chinese-owned company so far hasn’t.

The company said it restored access “as a result of President Trump’s efforts”—even though he hadn’t taken office yet—and Trump then signed an executive order Monday that directs his Justice Department not to enforce the law for 75 days, in order to give his administration “an opportunity to determine the appropriate course forward in an orderly way that protects national security while avoiding an abrupt shutdown.”

Companies that handle TikTok’s U.S. user data, including Oracle and Akamai, restored access to the app in order to put it back online, according to NPR, but the app still has not yet been restored to Apple and Google’s app stores, meaning U.S. users cannot download or update TikTok.

Neither Apple nor Google have responded to requests for comment on whether they plan to restore access to TikTok or other ByteDance-owned apps, though Apple has published a webpage informing U.S. users the company is “obligated to follow” the law banning TikTok and other ByteDance-owned apps, and thus users cannot download or update them.

The companies’ refusal thus far to make TikTok available again is in line with predictions from legal experts before the law took effect, as they suggested any assurances from Trump that he wouldn’t enforce the policy likely wouldn’t be enough to get companies like Apple and Google to comply, given they could still face legal liability if Trump were to reverse course and start enforcing the ban.

University of Minnesota law professor Alan Rozenshtein wrote for Lawfare Tuesday that Trump’s assurances not to enforce the law “offers minimal security” for companies who violate it by restoring access to TikTok, noting Trump “could change his mind at any time or selectively enforce against companies that fall from political favor” and the law’s five-year statute of limitations means future presidential administrations can still pursue violations of the law.

Can I Update The Tiktok App If It’s Not On The App Store?

It’s still unclear if or when Apple and Google could put TikTok back on their app stores. If a circumstance arises in which Trump keeps the law on pause indefinitely and TikTok stays online but can’t be updated or downloaded, users will likely eventually stop being able to use TikTok, as the app will get increasingly obsolete without the ability to update it.

Which Bytedance Apps Are No Longer On The App Store?

According to Apple, the list of apps owned by ByteDance or its subsidiaries that the company has taken off its App Store include TikTok, TikTok Studio, TikTok Shop Seller Center, CapCut, Lemon8, Hypic, Lark - Team Collaboration, Lark - Rooms Display, Lark Rooms Controller, Gauth: AI Study Companion and MARVEL SNAP.

Why Can’t Apple And Google Put Tiktok Back Online?

Rozenshtein noted for Lawfare there’s a murky history of defendants avoiding legal consequences because of orders declaring something is legal—as courts have ruled both for and against those defendants—but concluded companies face risks for putting TikTok back online. While there are some instances where courts have been more lenient, major companies like Apple and Google would face greater scrutiny for going against the federal law and just relying on Trump’s statements, Rozenshtein argued. Courts are hesitant to be too lenient when it comes to executive orders like this, Rozenshtein noted, given that doing so could set a precedent suggesting presidents can just overturn laws as much as they want by issuing orders saying they won’t be enforced.

While Trump and his Justice Department aren’t going to punish companies who restored access to TikTok any time soon, Rozenshtein suggested those companies could still face legal liability should Trump change his mind or during the next presidential administration. Companies could particularly be targeted for the decision to put TikTok back online even before Trump took office, as Rozenshtein noted the companies have “minimal defensive options” for restoring service then. Trump was still a private citizen at the time, so his statements promising to keep the app legal didn’t carry any legal weight, Rozenshtein noted. Oracle and Akamai have not yet responded to requests for comment about their decisions to restore service.

Big Number

$850 billion. That’s how much companies that have restored access to TikTok could potentially face in fines should the government decide to enforce the TikTok ban and punish them for enabling access to the app. The law allows a $5,000 fine per user and TikTok says its app is used by more than 170 million U.S. users, though likely not all of them have accessed the app since the law took effect. Apple and Google would likely face smaller fines if they reinstated TikTok and were punished for it, as those fines would only be calculated based on the number of people who downloaded or updated the app, versus who actually used the app.

Key Background

The federal law outlawing TikTok took effect Sunday following a last-minute court battle as TikTok challenged the ban, which led to the Supreme Court upholding the federal law in a unanimous ruling. While TikTok has argued the law violates its First Amendment rights, Congress passed the law with bipartisan support last year, arguing taking action against the app was necessary due to the national security threat posed by ByteDance’s Chinese ownership. TikTok has long denied any links to the Chinese government or wrongdoing, though Forbes has reported on numerous concerns involving the app, including TikTok spying on journalists, promoting Chinese propaganda that criticized U.S. politicians, mishandling user data and tracking “sensitive” words. Trump signaled he planned to take action against the TikTok ban shortly before taking office, though it was still unclear what steps he would take until Sunday, when Trump said he planned to issue an executive order pausing the ban. The president has justified his support for TikTok in part because of his own popularity on the app, though his move to keep the app online marks an about-face from his first term, when he issued an executive order banning TikTok that was later overturned in court.

Source: www.forbes.com 

Saturday, January 18, 2025

Nigerian hackers break into UnitedHealthcare database, steal private files of 120 million Americans

Nigerian hackers break into UnitedHealthcare database, steal private files of 120 million Americans

Although Russia-based BlackCat mainly orchestrated the hack, they said the stolen files were downloaded mostly by Nigerians.

 • January 17, 2025
Hacker; UnitedHealthcare

Agroup of Nigerian hackers breached the UnitedHealthcare database to steal more than six terabytes of confidential health records and private information of 120 million Americans registered with the insurance company, according to court filings seen by Peoples Gazette. a series of coordinated cyber attacks against UnitedHealthcare, the hackers broke into the company’s computer systems in February 2024. They stole the names, addresses, emails, and social security numbers of registered clients who are now seeking redress in court.

Scores of Americans have filed a class action lawsuit against the company before the U.S. District Court for the District of Minnesota, saying their private health data was stolen following a 2024 database breach.

The hacking started on February 21, 2024, according to the lawsuit filed on January 15, 2025. 

Although Russia-based BlackCat mainly orchestrated the hack, they said the stolen files were downloaded mostly by Nigerians, but some downloads also occurred in Russia and Brazil.

“The data was quickly spread across five continents: North America, Asia, Europe, Africa, and South America. In the end, it was downloaded by 47 different parties,” stated the suit filed on Wednesday.

“It was mainly downloaded by users in Nigeria, Russia, and Brazil, with the most activity coming from Nigeria and Russia,” it added. “This experiment demonstrated that data released on the dark web will quickly spread around the world.”

At least 60 Americans are taking part in the lawsuit, each alleging in court filings how they were adversely impacted by the breach, considered among the largest in the healthcare industry’s history.

Source: https://gazettengr.com/nigerian-hackers-break-into-unitedhealthcare-database-steal-private-files-of-120-million-americans/


Saturday, January 4, 2025

FG unveils free AI Academy for Nigerian youths, civil servants.

FG unveils free AI Academy for Nigerian youths, civil servants
The Federal Government has unveiled a free Artificial Intelligence (AI) Academy with the aim of positioning Nigeria as a leader in the global digital economy.

The Minister of Innovation, Science and Technology, Chief Uche Nnaji, who inaugurated the AI Academy on Thursday in Abuja, said the programme is set up in partnership with the Commonwealth Secretariat and Intel Corporation.

While emphasising that the online programme is free, the minister called on all Nigerians particularly students, youths and civil servants to avail themselves of the opportunity to be part of a movement that would redefine the future of the nation.
 
Registration opens 
According to the Minister, registration for the free AI Academy opens from Thursday, December 19, 2024, and it is expected to close by January 30, 2025.

“I encourage you to visit our website at 
https://scienceandtech.gov.ng/academy/ and seize this chance to acquire cutting-edge AI skills. 

“The AI Academy is not just a training platform but a transformative opportunity for Nigerians–students, youths and civil servants–to acquire critical skills in AI. 

“In a world where AI is reshaping industries, solving complex problems and creating new economic frontiers, it is imperative that Nigeria not only keeps pace, but leads the charge,” the  Minister stated.

What trainees stand to gain 
The Minister said that the programme would provide participants with access to self-paced courses on AI fundamentals, ethics, tools and real-world applications.

He said that beyond learning the AI Technology, it offered opportunities to compete for AI ambassadorial roles and internships with Intel Corporation as well as ensuring hands-on global experience.
Nnaji said that the role of AI in nation-building could not be over emphasised as AI was no longer a distant concept.
He described it as a transformative tool that could drive progress in agriculture, healthcare, education, security and many other sectors.
“By equipping Nigerians with these skills, we are not just preparing individuals for jobs but creating a pipeline of innovators, problem-solvers and leaders who will shape Nigeria’s technological and economic destiny. 

“Most importantly, AI will go a long way to help us develop innovative solutions for the unique challenges we face as a nation,” he said.

What you should know 
Since the beginning of the President Bola Tinubu’s administration, there has been a lot of focus on AI spearheaded by the Minister of Communications, Innovation, and Digital Economy, Dr. Bosun Tijani.

According to the Minister, all the efforts are geared towards positioning Nigeria as AI leader in Africa and ensuring that the country does not miss the benefits of the global AI revolution.

To that effect, the Communications Ministry recently released the country’s National Artificial Intelligence Strategy document, which is currently being reviewed by MDAs. It will be adopted as a national policy to guide all government efforts in Al.

The government has also formed the Al Collective which will collaborate on research, projects of interest, hackathons, and seminars to develop an inclusive approach to Nigeria’s AI initiatives.
Aside from the AI Strategy, the Nigerian government recently launched its Large Language Model, which is expected to position the country as an AI leader in Africa.
According to the Minister of Communications, Innovation and Digital Economy, Dr. Bosun Tijani, the LLM will be trained in 5 low-resource languages and accented English to ensure stronger language representation in existing datasets for the development of Artificial Intelligence solutions.

Friday, December 27, 2024

Social Media Scams

Social media scams

Be suspicious of anyone who unexpectedly contacts you on social media. Scammers use these platforms to gain your trust and steal your money.

Scammers set up fake profiles on social media,  messaging platforms and apps. They may pretend to be a friend, family member or interested in a relationship. They impersonate the government, real businesses, employers and investment or online trading platforms.

They may:

  • impersonate celebrities or public figures to recommend and promote products or services (these include AI-generated 'deepfakes' and fake news)
  • use the logo of real organisation they are pretending to be
  • use other people's photos and identities to create fake profiles to make friends with you and gain your trust.

Scammers learn a lot about you from what you share on social media, and deceive you into sharing personal information. They use this to guess your passwords or target you with other scams.

Warning signs it might be a scam

Stop and think. It could be a scam if the post or message:

  • shows or suggest that a celebrity or public figure recommends or promotes a product or service
  • comes from someone you've only met online or by phone, urgently asking for your money to help pay for a personal emergency
  • threatens to share a private image of you unless you pay them money.

Social media scams use common tactics like:

  • offering a way to make quick, easy money with little risk or effort
  • inviting you to enter a competition or limited time offer
  • offering to buy something you're selling for a high price without seeing it first
  • offering items for much lower prices than usual or compared to other sites
  • saying they live overseas and can’t meet you in person. 

These simple steps can help prevent loss of or personal information to scams.

Make sure the person is who they say they are

  • Research profiles to check how long an account has been active, how many friends or followers they have and how much activity they have had online including posts and photos. Lack of history, detail and followers can be a sign of a fake profile.
  • Be wary if a job is offered to you without an interview, or discussion about your experience, suitability, and references. Research the recruiter and the business or individual offering the position. Contact the recruitment agency via phone numbers sourced pany investment opportunity fully before investing money. Visit MoneySmart for advice.

Be careful about what information you share on social media

  • Never send money to a person you have only met online
  • Never send personal pictures of yourself to someone you have only met online.
Source: https://www.scamwatch.gov.au/types-of-scams/