Free skill check →Papers and reports from the Square 1 AI team on the systems we build and teach — AI safety, security, LLMs and agents, and applied machine learning.
92 papers7 topics~10 hours of reading
Adaptive learning adjusts what you study based on your performance. How the systems work, why fixed pacing fails, and what to look for in a platform.
Adversarial machine learning explained: evasion, poisoning, model extraction and inference attacks, plus the practical defences that raise attacker costs.
Read the article6 min readLLMs & Agents27 July 2026AI agent memory explained: short-term context, long-term stores, summarisation and retrieval, plus design trade-offs that decide what an agent remembers.
Read the article5 min readIndustry & Society27 July 2026AI is absorbing the routine tasks junior roles were built on. What that means for graduates, the apprenticeship pipeline, and how both sides should respond.
Read the article5 min readIndustry & Society27 July 2026AI productivity gains are real but uneven. Why they vanish from dashboards, where they concentrate, and why user skill is the multiplier organisations miss.
Read the article5 min readIndustry & Society27 July 2026Augmentation or automation? Compare the two AI adoption approaches: where each fits, how each fails, the economics, and a five-question per-task framework.
Read the article5 min readAI Safety & Ethics27 July 2026How to run an AI bias audit step by step: scope protected groups, choose fairness metrics, test with disaggregated data, diagnose and remediate.
Read the article6 min readIndustry & Society27 July 2026AI for marketers explained: where models genuinely help with copy, research and repurposing, where they fail, and how to build repeatable on-brand workflows.
Read the article6 min readAI Safety & Ethics27 July 2026AI governance explained: risk-based regulation, how the major approaches differ, and the internal processes that turn principles into practice.
Read the article6 min readHealthcare27 July 2026Where AI genuinely accelerates drug discovery — structure prediction, generative chemistry, property models — and why the clinical bottleneck stays untouched.
Read the article6 min readIndustry & Society27 July 2026How finance teams can use AI safely: strong use cases in commentary and contracts, hard limits on numbers and advice, plus controls that keep work auditable.
Read the article5 min readHealthcare27 July 2026How AI medical imaging works, from pixel data to triage lists: the model families involved, where accuracy comes from, and why radiologists stay in the loop.
Read the article6 min readSecurity27 July 2026How security teams use AI in incident response: where it speeds triage and investigation, where it misleads, and how to build it into playbooks safely.
Read the article6 min readEducation27 July 2026The case for and against making AI literacy a core skill: what it really means, the strongest arguments on both sides, and where the debate is settling.
Read the article5 min readHealthcare27 July 2026How AI medical scribes work, what they realistically change about clinical documentation, and the accuracy, consent and accountability questions they raise.
Read the article6 min readSecurity27 July 2026AI phishing attacks have made old detection advice obsolete. Learn how attackers use generative AI and which technical and human defences still hold.
Read the article5 min readAI Safety & Ethics27 July 2026AI red teaming basics: what it is, how to run a first adversarial exercise, and the jailbreak and prompt-injection techniques worth knowing.
Read the article6 min readAI Safety & Ethics27 July 2026AI safety vs AI ethics: how the two fields differ, where they overlap on bias and transparency, and which skills each path actually rewards.
Read the article6 min readSecurity27 July 2026How to become an AI security engineer: what the role involves, the skill stack from security fundamentals to LLM attacks, and the realistic routes in.
Read the article6 min readHealthcare27 July 2026Comparing AI-assisted triage with established nurse-led triage scales: what each does well, where automation helps, and the risks of shifting the first call.
Read the article6 min readEducation27 July 2026How to assess students when ChatGPT can write the essay: process evidence, supervised checkpoints, oral defences, and tasks where AI use is the skill.
Read the article5 min readHealthcare27 July 2026Where bias in clinical AI models comes from — sampling, measurement, labels and proxies — and which remedies reduce harm rather than tidying up the metrics.
Read the article6 min readEducation27 July 2026Bootcamps, self-paced courses and AI-graded platforms compared on cost, feedback, structure and risk — and how to choose the route that fits your life.
Read the article5 min readEducation27 July 2026Certificates open doors, portfolios close offers. How hiring treats each, what AI has changed, and how to build both from the same learning hours.
Read the article5 min readCloud & Infrastructure27 July 2026How CI/CD works for machine learning: automated testing for data and models, pipeline stages, deployment strategies and the tools teams rely on.
Read the article6 min readHealthcare27 July 2026What clinical decision support AI does inside a hospital, how alerts are designed and delivered, and why governance and usability decide whether a tool helps.
Read the article6 min readCloud & Infrastructure27 July 2026Practical ways to control cloud costs for AI workloads: right-sizing GPUs, spot capacity, caching, budgets, and the habits that stop bill surprises.
Read the article6 min readSecurity27 July 2026The cybersecurity skills employers actually test in 2026 interviews: fundamentals, scripting, AI security literacy, cloud defence and communication.
Read the article6 min readAI Safety & Ethics27 July 2026Data privacy in AI systems: where risks arise across the lifecycle, memorisation and inference threats, and privacy-preserving techniques that help.
Read the article6 min readSecurity27 July 2026Deepfake fraud defence for businesses: why detection fails, the verification controls that survive convincing fakes, and how to prepare your team now.
Read the article6 min readAI Safety & Ethics27 July 2026How deepfakes are made, why detection is so hard, and the provenance and procedural defences that actually protect organisations and individuals.
Read the article6 min readLLMs & Agents27 July 2026Fine-tuning vs prompt engineering: what each changes in an LLM, where each wins, typical costs and risks, and a practical decision path for your project.
Read the article5 min readCloud & Infrastructure27 July 2026Learn when machine learning needs a GPU and when a CPU is enough, covering training versus inference, memory, parallelism and sensible cloud choices.
Read the article6 min readHealthcare27 July 2026How health AI teams handle patient data responsibly: de-identification limits, consent and secondary use, federated approaches, and privacy risks inside models.
Read the article6 min readEducation27 July 2026A realistic guide for adults learning to code in 2026: what AI changes, why practice-first beats video-watching, and a route that survives real life.
Read the article5 min readLLMs & Agents27 July 2026Learn how to build an AI agent loop step by step: the reason-act cycle, tool calls, stopping conditions, error handling and guardrails that keep it safe.
Read the article5 min readCloud & Infrastructure27 July 2026A step-by-step guide to deploying a machine learning model: packaging, choosing infrastructure, building an API, testing, monitoring and rollback.
Read the article6 min readLLMs & Agents27 July 2026A practical guide to evaluating LLM outputs: rubrics, golden sets, LLM-as-judge, regression checks and human review, with pitfalls to avoid at each step.
Read the article5 min readIndustry & Society27 July 2026How to write an AI usage policy staff actually follow: the core sections, data rules, accountability, common mistakes, and a rollout that changes behaviour.
Read the article5 min readIndustry & Society27 July 2026Human-AI collaboration works when the division of labour is right. What to delegate, what humans must keep, common failure modes, and the new skill it demands.
Read the article6 min readAI Safety & Ethics27 July 2026Human-in-the-loop AI oversight: why nominal review fails, how automation bias undermines it, and what meaningful human oversight actually requires.
Read the article6 min readIndustry & Society27 July 2026A step-by-step guide to introducing AI in a small business: pick one bottleneck, run a two-week trial, set three simple rules, then scale task by task.
Read the article5 min readLLMs & Agents27 July 2026Understand LLM context windows: what tokens are, why limits matter, how long inputs affect cost and accuracy, and practical ways to work within them.
Read the article5 min readLLMs & Agents27 July 2026The LLM engineering skills employers look for: prompting, RAG, evaluation, agent design and deployment, plus how to build evidence you can show in interviews.
Read the article5 min readSecurity27 July 2026A beginner's guide to LLM security: prompt injection, jailbreaks, data leakage, supply chain risks and the defensive habits that keep AI apps safe.
Read the article5 min readLLMs & Agents27 July 2026LLM tool use explained: how function calling works, how models pick tools, what MCP-style protocols add, and how to design tool schemas agents can use.
Read the article5 min readHealthcare27 July 2026The machine learning skills health-tech employers screen for: clinical data handling, leakage detection, validation discipline and regulatory literacy.
Read the article6 min readCloud & Infrastructure27 July 2026Managed vs self-hosted LLMs compared: control, privacy, latency, operational burden and total cost — plus a decision framework for choosing well.
Read the article6 min readHealthcare27 July 2026How medical AI regulation works: when software becomes a device, risk classification, the evidence regulators expect, and the problem of models that change.
Read the article6 min readCloud & Infrastructure27 July 2026The MLOps skills employers look for — cloud platforms, pipelines, containers, monitoring and LLM operations — and how to build proof you have them.
Read the article6 min readAI Safety & Ethics27 July 2026Model transparency vs explainability: the main techniques, why modern models resist explanation, and the danger of plausible but false explanations.
Read the article6 min readEducation27 July 2026How to run project-based learning in the AI era: briefs that resist one-shot generation, decision records, defences, and rubric-driven AI grading.
Read the article5 min readLLMs & Agents27 July 2026RAG vs fine-tuning compared: how each adds knowledge to an LLM, strengths, costs, failure modes, and how to decide which approach fits your use case.
Read the article5 min readIndustry & Society27 July 2026Reskilling for AI without the hype: why most professionals need fluency rather than a career change, what effective training looks like, and its honest limits.
Read the article5 min readAI Safety & Ethics27 July 2026The skills responsible-AI roles really require, from evaluations and bias audits to governance and ethics, and how to build a credible portfolio.
Read the article5 min readCloud & Infrastructure27 July 2026How to scale LLM inference: batching, KV caching, quantisation, autoscaling GPUs, routing and the observability you need to keep latency down.
Read the article6 min readSecurity27 July 2026How to secure a machine learning pipeline end to end: data poisoning defences, model supply chain checks, hardened serving and practical monitoring.
Read the article5 min readCloud & Infrastructure27 July 2026Serverless vs containers for AI applications compared: cold starts, GPU access, scaling behaviour, cost patterns and when each approach wins.
Read the article5 min readLLMs & Agents27 July 2026Single-agent vs multi-agent AI systems compared: when one capable agent beats a team, coordination costs, failure modes and a practical way to choose.
Read the article5 min readSecurity27 July 2026SOC automation vs human analysts compared honestly: what machines triage well, where analysts still win, and how to design the hybrid SOC that works.
Read the article5 min readEducation27 July 2026Why cramming fades and spaced repetition lasts: the science of retrieval practice and spacing, applied to real skills like coding and prompt writing.
Read the article5 min readEducation27 July 2026A practical guide to teaching with AI: what to delegate, how to multiply practice and feedback, redesigning tasks, and teaching its failure modes.
Read the article5 min readIndustry & Society27 July 2026Trust in AI systems examined: why fluent output miscalibrates human judgement, what calibrated trust looks like, and how organisations earn or destroy it.
Read the article6 min readHealthcare27 July 2026A step-by-step approach to validating medical machine learning models: honest data splits, external testing, subgroup checks, thresholds and drift monitoring.
Read the article6 min readCloud & Infrastructure27 July 2026What a vector database is, how embeddings and similarity search work, when you need one for AI apps, and how to choose between the main options.
Read the article6 min readAI Safety & Ethics27 July 2026AI alignment explained in plain English: what it means, why making AI pursue human intent is so hard, and the techniques used to close the gap.
Read the article6 min readEducation27 July 2026Learn what an AI tutor actually does, how it differs from chatbots and human teachers, where it helps most, and how to judge one before you commit.
Read the article5 min readCloud & Infrastructure27 July 2026Model serving explained for beginners: how trained ML models answer live requests, the role of APIs, latency, autoscaling and popular serving tools.
Read the article6 min readSecurity27 July 2026Prompt injection explained in plain English: how attackers hijack AI instructions, why filters fail, and the layered defences that actually reduce risk.
Read the article5 min readLLMs & Agents27 July 2026Learn what retrieval-augmented generation (RAG) is, how it grounds LLM answers in your own documents, and when to choose it over fine-tuning or prompting.
Read the article5 min readIndustry & Society6 July 2026A framework for comparing how languages encode meaning — and what systematic cross-linguistic comparison reveals for language technology and language learning.
Read the article5 min readLLMs & Agents6 July 2026Research on systems that automate and augment organisational decision-making: architectures, governance, and the line between decision support and decision delegation.
Read the article3 min readEducation6 July 2026The 4D framework — delegation, description, discernment, diligence — plus a systematic review of ten studies on how teachers build AI fluency while keeping human judgment central to the classroom.
Read the article30 min readSecurity6 July 2026Securing cloud environments with AI: detection across sprawling attack surfaces, misconfiguration hunting, and the operational realities of trusting models with security decisions.
Read the article5 min readLLMs & Agents6 July 2026A tour of modern image recognition — convolutional and transformer-based approaches, benchmark progress, and the practical limits that still separate lab results from deployment.
Read the article3 min readSecurity6 July 2026Where machine learning genuinely strengthens defence — threat detection, anomaly spotting, response automation — and where attackers are using the same tools back.
Read the article7 min readIndustry & Society6 July 2026How a digital bridge between geological models and plant hardware — hosted in a digital twin — enables real-time ore sorting and dynamic filtration, cutting energy use and improving water circularity in mining.
Read the article3 min readHealthcare6 July 2026How machine learning models are pushing diagnosis earlier — the screening domains showing real clinical signal, and the validation hurdles between promising models and patient impact.
Read the article30 min readSecurity6 July 2026Applying AI to threat modeling: generating attack scenarios, prioritising risks, and keeping security analysis current as systems change faster than manual reviews can.
Read the article4 min readLLMs & Agents6 July 2026Evaluating a single model is hard; evaluating a system of interacting agents is harder. Methods and metrics for assessing multi-agent behaviour beyond per-agent benchmarks.
Read the article8 min readAI Safety & Ethics6 July 2026Can tamper-evident ledgers make AI systems auditable? An examination of blockchain-backed provenance, model audit trails, and the accountability gaps they can and cannot close.
Read the article2 min readAI Safety & Ethics6 July 2026AI systems are trained on some cultures more than others. This research examines what culturally responsive design means in practice and why it matters for global deployment.
Read the article8 min readSecurity6 July 2026Zero-trust assumes breach; AI makes the continuous verification it demands tractable. How adaptive models strengthen identity, access, and anomaly decisions in zero-trust architectures.
Read the article2 min readHealthcare6 July 2026Clinicians won't act on predictions they can't interrogate. This paper reviews explainability techniques for medical AI and the evidence on what actually earns clinical trust.
Read the article8 min readIndustry & Society6 July 2026How generative models are reshaping creative work — production pipelines, authorship and rights questions, and where human craft concentrates as generation gets cheap.
Read the article13 min readLLMs & Agents6 July 2026Research on making large language models cheaper to train and serve — quantisation, distillation, and architectural efficiency, and what they trade away for their savings.
Read the article3 min readIndustry & Society6 July 2026A report on how teams are actually structuring AI-assisted work in 2026 — the workflow patterns, tooling choices, and process changes that separate productive adoption from noise.
Read the article22 min readIndustry & Society6 July 2026A study of quantum computing readiness in Sri Lanka: the research capacity, industry appetite, and policy groundwork an emerging economy needs to participate early.
Read the article7 min readLLMs & Agents6 July 2026Two failure axes of deployed LLMs — wasted compute and confident falsehoods — and the techniques that push toward efficient resource use with grounded, verifiable output.
Read the article7 min readAI Safety & Ethics6 July 2026When multiple AI agents interact, new failure modes appear that single-agent safety work doesn't cover. This paper maps the risks and the emerging mitigations.
Read the article10 min readAI Safety & Ethics6 July 2026Why systems that feel empathetic and systems that explain themselves pull in different design directions — and how explainable-AI techniques can close the trust gap between the two.
Read the article4 min readAI Safety & Ethics6 July 2026What AI systems reflect back about the people and data that built them — an essay on bias, projection, and interpretation in human–AI interaction.
Read the article4 min read