AI Learning Lab

For a decade, "voice assistant" meant timers, weather, and misheard questions. 2026 is the year all three big assistants finally got their large-language-model brains: Amazon shipped Alexa+ , Google is rolling Gemini onto its speakers as Gemini for Home , and Apple's long-delayed new Siri arrived with iOS 27 — reportedly with Google's Gemini models doing heavy lifting under the hood. If you're deciding which ecosystem deserves your kitchen counter, here's how the three actually differ. (Prices, regions, and features below are as reported at the time of writing and change often — treat them as a snapshot and confirm on each company's official pages.) What actually changed this year All three assistants moved from scripted command-matching to conversational AI: multi-step requests ("find a sitter-friendly recipe and add what I'm missing to the list"), follow-ups without repeating context, and summaries of your day, inbox, or cameras. The gap b...

Year-end review season is approaching, and with it the document almost everyone dreads: the self-review. You did twelve months of real work, but at the keyboard it evaporates into "contributed to various projects." AI is genuinely good at this problem — not because it knows what you did, but because it's a tireless interviewer, organizer, and editor for the person who does. Here's a six-step workflow that turns scattered evidence into a self-review you can stand behind, without letting the AI inflate a word of it. Step 1: Dump the raw evidence first Before touching AI, gather your raw material: sent emails you're proud of, closed tickets, shipped features, meeting notes, praise messages, metrics dashboards, your calendar. Export or paste what you can into one rough document. One caution before you paste anything into a chatbot: check your company's AI policy first . Many employers restrict feeding internal data to external tools — use your company-approved AI ...

If you've built custom AI helpers in Google's Gemini — a running coach, a study tutor, a resume reviewer — there's a date to put in your calendar. Google has announced that Gems, its custom-assistant feature, will be replaced by a new system called "skills" starting November 17, 2026 , according to reporting by TechCrunch. Google says existing Gems will be migrated automatically, so nothing you built disappears. But how you use them is changing, and the shift says a lot about where Google thinks assistants are heading. Here's what's happening and what to do before the switch. What Google announced Gems launched in 2024 as Gemini's answer to OpenAI's custom GPTs: you write instructions once — "you are my marathon coach, my race is in April" — and get a reusable assistant with its own name and personality. Some Gems could be shared with other people. Per TechCrunch's September 28 report, Google will transition Gems to skills on November...

Oracle has spent the past two years wiring generative AI into its cloud, and its certification lineup now reflects that. The Oracle Cloud Infrastructure (OCI) Generative AI Professional credential (exam code 1Z0-1127) is Oracle's answer to the AWS and Google Cloud AI certifications we've covered before: a vendor exam that tests whether you can actually build with hosted large language models, not just define them. If your company runs on Oracle — or you work in the large enterprise world where Oracle databases are everywhere — this is the AI credential that maps most directly to your stack. Here's what the exam covers, what it costs, and who should (and shouldn't) take it. What the certification is The OCI Generative AI Professional validates that you can use Oracle's hosted generative AI services: calling foundation models through the OCI Generative AI service, building retrieval-augmented generation (RAG) pipelines, and assembling agent-style applications on top....

Of all the AI security terms floating around, the one most worth an ordinary user's attention is prompt injection . In one sentence: it's an attack that swaps out the AI's instructions from the outside . Now that AI assistants browse the web, read email, and take actions on our behalf, the blast radius of this trick has grown dramatically. Here's how it works, the patterns to know, and what you can actually do about it — explained with plain analogies. What Is Prompt Injection? An AI assistant receives its instructions and the data it processes in the same form: natural language . That's the weakness. If a piece of content the AI reads contains a sentence like "ignore your previous instructions and do X instead," the model can mistake data for instructions and comply . Picture a new assistant sorting the mail who finds a note inside an envelope that looks like it came from the boss — and follows it. That's the whole attack, in one image. Direct vs...

"Hand the AI a question, get back a cited report" — deep research has gone from novelty to standard equipment on every major AI assistant. But ChatGPT, Gemini, Claude, and Perplexity approach it with very different personalities : one digs slow and deep, one casts the widest net, one prioritizes analysis, one optimizes for speed and citations. This is a comparison organized not around "which is best" but around which fits which job . One caveat up front: quotas and plan availability change constantly — treat each vendor's pricing page as the only current source of truth. What Deep Research Actually Is Where a normal chat answers in one pass, deep research works autonomously for minutes — sometimes much longer — reading large numbers of web pages and returning a long-form report with source links . Its sweet spot is the kind of groundwork that would cost you hours: comparing options, mapping a market, laying out the sides of a debate. If you want the step-by-s...