Google Cloud Next 於拉斯維加斯舉行，Google 明確傳達訊息：希望 AI 初創企業採用其雲端服務。為此，Google 公布多項針對初創企業的措施，其中最矚目的是撥款 7.5 億美元（約 HK$58.5 億），協助雲端合作夥伴向企業銷售更多 AI 代理工具。此資金適用於初創企業至大型顧問公司，可用於 Gemini 概念驗證項目、Google 前置部署工程師、雲端額度及部署回贈等開支。
Google 亦強調多名使用其雲端服務的初創企業，包括新合作或擴大規模的項目。其中幾家備受矚目：Lovable 透過 Google 企業應用市場推出全新編碼代理，正擴大 Google Cloud 使用範圍。這家快速成長的 vibe coding 初創企業，去年 2 月時年化經常性收入達 4 億美元（約 HK$31.2 億）。Notion，這款矽谷熱門 AI 驅動文件生產力應用，最新估值約 110 億美元（約 HK$858 億），正利用 Gemini 模型驅動文字及圖像生成功能。
Gamma，這款 AI 驅動 PowerPoint 替代工具，最新估值 21 億美元（約 HK$163.8 億），採用 Google 先進圖像模型 Nano Banana 2 及其他雲端功能。
其他獲 Google 點名的初創企業
Inferact，由熱門開源項目 vLLM 創作者開發的商業推理初創，正透過 Google Cloud 存取 Nvidia GPU，並使用 Google AI 技術堆疊。ComfyUI，這款流行開源 AI 生成圖像及多媒體工具，亦提供 Nano Banana 2 存取並使用其他雲端功能。今年其他獲 Google 點名的初創包括：ChorusView（AI 智能標籤實時追蹤貨物狀況及移動）、Emergent AI（vibe coding 平臺）、ExaCare AI（後急性醫療 AI 軟件）、In
silica（AI 生成合規化學安全報告）、Optii（AI 增強酒店營運軟件）、Parallel AI（專為 AI 代理打造的網頁搜尋及研究 API）、Proximal Health（AI 自動化保險索賠審核軟件）、Reducto（AI 文件解析）、Stord（電子商務履約及包裹營運）、Stylitics（零售商 AI 圖像生成，用於服裝搭配及產品組合）、Temporal（防範故障的開發者雲端環境）、Vapi（對話式語音代理開發工具）、Vurvey Labs（AI 代理合成市場研究）、Wand
（單機 PC 遊戲內建助理）及 Watershed（企業可持續性報告及管理軟件）、ZenBusiness（中小企一體化後勤工具，含 AI 聊天助理）。
Framework Laptop 13 Pro 被公司行政總裁形容為 Linux 使用者的 MacBook Pro（雖然亦可運行 Windows）。這款新機甚至聲稱電池續航力超越 14 吋 M5 MacBook Pro。它借鑒了多項 Apple 關鍵特徵，但其核心理念卻截然相反。
The Verge 親身體驗這款新機，指出多項功能彷彿直接取材自 Apple 官網。
在 Google Slides，則嚴格遵守公司模板及視覺風格，一次生成整套幻燈片。在 Google Sheets，支援對話式建立及編輯試算表。Workspace Intelligence 從相關電郵、聊天、檔案及網頁資訊中提取內容，將構想轉化為專業格式草稿，模擬個人語調、品牌風格及公司模板。
Google 特別將此功能獨立命名為「Workspace Intelligence」，而非僅視為 Gemini 延伸，顯示其獨立性，但最終將在後台運作，使用者無需特別留意。
Google 同時公布第八代 Tensor Processing Units (TPU)，今年重點引入「訓練及推理兩種專用架構」。
Have you ever read something online and felt like it just made sense right away?
That feeling is very human. Most of us make quick choices about what feels true, useful, and worth sharing, often without even noticing how fast our minds are working.
The internet gives us endless articles, posts, comments, videos, and headlines, and somehow our brains sort through all of it in seconds.
That does not happen by accident. There is real psychology behind why certain information feels trustworthy. It often comes down to familiarity, clarity, emotion, social proof, and the way our brains like to save time.
When you understand those patterns, reading online becomes more thoughtful, calm, and confident.
Why Trust Happens So Quickly
When we read online, our brains are not starting from zero every time. We are constantly using shortcuts to decide what feels reliable, friendly, and believable.
These shortcuts are not random. They help us move through daily life with less effort. Online reading works the same way.
Your Brain Loves Fast Patterns
The human brain enjoys speed. If a message feels clear and easy to follow, it often feels trustworthy too.
For example, when you see:
short paragraphs
simple wording
organized headings
a calm tone
examples that sound familiar
Your mind often responds with, “Yes, this feels right.”
That response is part of normal thinking. We often connect clarity with credibility. When something is easy to process, it feels more comfortable, and comfort can build trust.
Familiarity Feels Safe
People naturally trust ideas that feel familiar.
If you have seen a certain type of message many times, your brain becomes more open to it. This is one reason repeated ideas can feel true even before we fully study them.
Familiar wording, common phrases, and everyday examples all help create a sense of ease.
Think about how you react to a piece of writing that sounds like normal conversation. It feels warm, understandable, and closer to real life. That simple feeling can make the message more believable.
Emotion Helps Information Stick
We do not read as machines. We read as people.
That means emotions matter. A message that makes you feel calm, hopeful, seen, or understood often stays with you longer.
When a writer sounds human and relatable, trust grows more naturally.
This does not mean people ignore facts. It means facts often land better when they are shared in a way that feels personal and easy to connect with.
The Signals That Make Content Feel Trustworthy
When people trust online content, they are usually responding to a set of signals. Some of these signals are visible right away, and some work quietly in the background.
Once you notice them, it becomes much easier to understand your own reading habits.
Clear Structure Builds Confidence
A well-structured article feels easier to trust because it helps readers relax.
When content is organized, your brain does not have to work as hard to follow the message. That saved mental effort creates a smoother experience, and a smoother experience often feels more reliable.
Here are a few structure signals that help:
A clear title that matches the topic
Intro paragraphs that explain what is coming
Headings that guide the reader step by step
Short sections that stay focused
Lists that make ideas easier to scan
When writing feels organized, readers often feel that the writer has thought things through.
Simple Language Feels Honest
People connect with writing that sounds natural.
If something sounds like a real person talking clearly, it often feels more honest than writing packed with heavy terms.
Simple language does not make content less smart. It makes it more open and easier to understand.
That is why everyday English often works so well online. It lowers the distance between the writer and the reader.
Social Proof Makes A Big Difference
People often trust information more when they feel others trust it too.
This is called social proof. It shows up in many ways online, such as:
Comments from readers
High shares or savings
Repeated mentions of the same idea
People in a community agree on a point
Content that sounds widely accepted
When many people seem to support something, our brains treat that as a helpful clue.
It is a social habit. Humans naturally look to others when making sense of information, and online spaces make that process happen even faster.
Why Some Writing Feels Instantly Believable
Not all trust is built in the same way. Sometimes it grows slowly, and sometimes it appears in seconds. That quick feeling usually comes from a mix of psychology and presentation.
Understanding this helps explain why certain posts, articles, or threads feel convincing so quickly.
Confidence In Tone Matters
Writers who sound calm and sure often seem trustworthy.
A steady tone makes readers feel guided. It creates the feeling that the person writing has a clear grip on the topic. That does not mean the writing should sound formal or stiff.
In fact, a casual tone can build trust when it sounds grounded and thoughtful.
People often trust content that feels like a smart friend explaining something clearly.
Specific Details Create Stronger Belief
General statements can sound pleasant, but specific details often create stronger trust.
Compare these two styles:
Style
How It Feels
Broad and vague
Friendly but light
Clear and specific
More grounded and convincing
When readers see practical examples, simple explanations, and direct points, they feel they have something real to hold onto.
Specificity gives the brain a reason to settle in.
Consistency Helps Readers Relax
When the tone, message, and structure all fit together, trust grows more easily.
For example, if an article starts with a warm and simple voice, then continues in that same voice all the way through, readers feel steady.
That consistency matters. It helps people stay focused instead of wondering what kind of message they are receiving.
A smooth reading experience often becomes a trusting reading experience.
The Role Of Identity And Personal Beliefs
People do not read with empty minds. We all bring our own values, habits, interests, and life experiences to what we read.
That personal side of reading is a big part of online trust.
We Connect With What Feels Like Us
People are often drawn to ideas that match their own experiences or hopes.
If a message sounds like something you already believe, support grows quickly. This is part of normal human thinking. We like ideas that fit neatly into our existing view of things.
That is one reason relatable examples matter so much. When readers think, “Yes, that sounds like my life,” the content becomes easier to trust.
Community Shapes Trust
Online trust is also social.
People often read within communities, even when they do not think about it that way. A person may spend time in certain spaces, follow certain kinds of voices, and read content that reflects shared values.
Over time, these patterns shape what feels credible.
This is not about blind trust. It is about connection. When people feel part of a shared conversation, they read with more openness.
How To Read Online With More Awareness
The good news is that understanding trust psychology can make online reading feel more thoughtful and balanced. You do not need to become overly serious about every sentence. A little awareness goes a long way.
The goal is simple: stay open, stay curious, and notice what makes something feel believable.
Pause And Notice Your First Reaction
Before accepting a message right away, take a second to notice your first feeling.
Ask yourself:
Does this feel trustworthy because it is clear?
Does it sound familiar?
Am I connecting with the tone?
Do the examples feel real and useful?
This quick pause helps you understand your own reading habits.
Look At The Writing Experience
A lot of trust comes from presentation, so it helps to notice the reading experience itself.
Pay attention to:
How the article is organized
Whether the wording is simple and direct
Whether examples match the main point
Whether the tone stays steady
Whether the message feels thoughtful from start to finish
Sometimes the way something is written tells you as much as the topic itself.
Use Tools As A Support, Not A Replacement
Reading with awareness does not mean doing everything alone. Helpful tools can support your thinking, especially when you want to review tone, clarity, or writing style. For example, some people use an AI detector free tool as part of their broader reading process.
The key idea is balance. Tools can support attention, but your own judgment still matters most.
Trust Online Starts With Human Nature
At its heart, trusting what you read online is about being human.
We trust what feels clear, familiar, emotionally warm, socially supported, and easy to understand. We connect with writing that sounds real.
We remember messages that feel personal. We lean toward information that fits smoothly into our daily thinking.
That is not something to fear. It is something to understand.
Once you notice how trust works, you can read online with more confidence and more ease. You start to see why certain messages land so well, why some voices feel believable, and why presentation matters so much.
And in a space full of information, that kind of awareness is a real advantage.
Have you ever read a paragraph online and felt like the words were correct, yet something warm was missing?
A lot of people have had that feeling. The sentences may be clear, the grammar may be clean, and the structure may look polished. Still, the writing can feel a little flat instead of natural and alive.
That is why this topic matters so much right now. AI writing is becoming part of daily life for blogs, emails, product text, study help, and content drafts. As more people use it, they also want it to sound more human, more relatable, and easier to connect with.
The good news is that this can change. AI writing can become much more natural when it is shaped with clear intent, human editing, and a stronger sense of voice.
Why AI Writing Can Feel So Structured
AI writing usually starts from patterns. It learns from large amounts of language and then builds responses based on those patterns. That helps it create clean and organized text very quickly.
That same strength is also why the writing can sound a bit formal or distant. It often aims for order, balance, and readability, which is useful, but people usually connect more with writing that has small personal touches and a natural flow.
It Follows Predictable Sentence Patterns
One common reason AI writing feels robotic is that it often uses sentence shapes that feel very balanced.
For example, it may:
Repeat the same sentence length
Use similar transitions too often
Keep the rhythm very even
Choose safe and neutral phrasing
Stick closely to a familiar structure
That kind of writing is easy to follow, which is a positive thing. Still, people often speak and write with more variation, and that variation makes the message feel alive.
It Focuses On Clarity Before Personality
AI is usually trained to be useful, readable, and organized.
Because of that, it often puts clarity first. That works well for explaining facts or summarizing ideas. But human writing often includes little touches that go beyond clarity, such as humor, emotion, casual phrasing, or a personal example from daily life.
Those small touches help readers feel like a real person is speaking to them.
It Tends To Sound Even From Start To Finish
Human writing usually has movement. It speeds up, slows down, adds emphasis, and shifts tone based on the point being made.
AI writing can stay at the same level all the way through. That steady tone can be useful for structure, but readers often enjoy writing more when it has a natural rise and fall.
What Human Writing Usually Has That AI Misses
People do not connect with writing only because it is correct. They connect with it because it feels familiar and real. Human writing often includes little signals that show thought, feeling, and lived experience.
These signals are not always dramatic. In fact, they are often very simple.
Real-Life Examples Make A Big Difference
One thing human writers do well is connect ideas to normal life.
Instead of only saying a message is clear, a person might say, “It feels like getting directions from a friend instead of reading a manual.” That image makes the point easier to feel.
Readers enjoy examples like that because they turn abstract ideas into something practical and relatable.
Human Voice Has Natural Imperfection And Warmth
Human writing often sounds more comfortable because it is not trying to be perfectly balanced in every sentence.
It may include:
Short thoughts next to longer ones
A casual phrase that sounds natural
A question that pulls the reader in
A personal observation
A little shift in rhythm that feels real
These qualities help the writing breathe.
Emotion And Intent Come Through More Clearly
When a person writes with real purpose, readers can often feel it.
That does not mean every sentence has to be emotional. It just means the writing carries intent. It feels like someone is trying to help, explain, share, or connect.
That sense of purpose is a big part of what makes human writing memorable.
How AI Writing Can Feel More Human
This is where things get interesting. AI writing does not have to stay flat or overly polished. It can become much more natural when people guide it in the right way.
The goal is not to remove structure. The goal is to add warmth, rhythm, and personality to that structure.
Start With A Clear Human Point Of View
The strongest writing usually begins with a real point to make.
Before editing an AI draft, it helps to ask:
What do I actually want the reader to feel or understand?
How would I explain this in a normal conversation?
What example from daily life fits here?
What tone feels right for this topic?
These questions bring the writing closer to a real voice.
Add Rhythm And Variety
One easy way to improve AI writing is to vary the flow.
A more human-sounding piece often includes:
Short sentences for emphasis
Longer sentences when expanding a thought
Questions that sound natural
Occasional informal phrasing
Smooth shifts between ideas
Some writers use tools or editing methods built to humanize ai output by focusing on tone, sentence flow, and word choice. Even then, the best results usually come when a person reviews the draft with care.
Use Specific Details Instead Of General Language
Specific details help writing feel more grounded.
Here is a simple comparison:
General Wording
More Human Wording
People enjoy clear writing
People enjoy writing that feels like a real person is talking to them
Good structure helps readers
Clear headings and short paragraphs help readers stay on point
Examples are useful
A simple daily-life example can make an idea click right away
The second style feels more natural because it paints a clearer picture.
Practical Ways To Improve AI Writing Every Time
AI writing improves a lot when there is a strong editing step after the first draft. That editing does not need to be complicated. It just needs to be intentional.
Small changes can shift a piece from polished but distant to clear and human.
Read It Out Loud
Reading a draft out loud is one of the simplest ways to improve it.
When you hear the words, you can notice:
Repeated phrasing
Sentences that feel too stiff
Parts that sound too formal
Spots where a personal example would help
Areas that need more warmth
If a sentence sounds like something you would never say in real life, it probably needs a small rewrite.
Edit For Connection, Not Just Grammar
Grammar matters, of course. But connection matters too.
A useful editing process can look like this:
Check the main point
Remove repeated ideas
Add one or two relatable examples
Change stiff wording into natural phrasing
Make sure the tone sounds like a real person
This helps the writing feel less like output and more like communication.
Keep The Reader In Mind
The most human writing always feels aware of the reader.
It respects the reader’s time, answers real questions, and sounds like it was written for someone, not just produced on command. That small shift in mindset changes a lot.
Conclusion
AI writing often feels robotic because it naturally leans toward structure, balance, and predictable phrasing. Those qualities are useful, but readers usually connect more with writing that has rhythm, warmth, and a clear human point of view.
The encouraging part is that this can absolutely change. With better prompting, stronger editing, more specific details, and a real sense of audience, AI writing can become much more natural and relatable.
ASUS Pad 採用四邊等寬邊框設計，金屬機身帶來優異強度，背部平整，左上角（豎屏狀態）設有相機模組，包含單鏡頭及 LED 補光燈，模組略微凸起。機身厚度僅 6.5mm，重 523g，對 12.2 英寸平板而言相當輕薄。電池容量達 9000mAh，支持快充，具體功率待確認。
配件方面，華碩將提供至少一款官方保護套，採用透明塑膠材質，背部附多功能摺紙式支架，可依不同使用場景調整支撐角度，收納時可覆蓋屏幕起到保護作用。
目前 ASUS Pad 的實體發佈時間及售價尚未公布。
回顧華碩平板歷史，自 2019 年終止 ZenPad 系列產品線後，官方將重心置於手機領域。若本次爆料屬實，等於時隔約 7 年，華碩在平板業務告一段落之後，反身再度回歸平板產品線。
Apple 高層人事變動帶來人才留任挑戰。高層領導層變動往往會影響公司內部穩定性，因為新的組織架構會改變多個管理層級的匯報線。各高管擁有不同優先事項，以及迥異的管理與溝通風格，這可能適合某些人，卻令其他人感到不適，從而引發離職潮。據報導，Apple 曾面臨視覺投資者 Mike Rockwell 離職風險，他負責在 Tim Cook 對前 AI 主管 John Giannandrea 失去信心後，拯救 Siri 升級項目。
最終達成協議，確保 Rockwell 留任至 Siri 升級完成。他原本對向新上司 Craig Federighi 匯報有所保留，但現時已無意在項目完成前離開。留任誘因細節尚未公開。
晶片主管 Johny Srouji 的關鍵留任
Tim Cook 與硬件工程高級副總裁 John Ternus 更重要的留任勝利，是成功挽留晶片專家 Johny Srouji。這位硬件技術高級副總裁、Apple 最受尊重的執行官之一，去年 12 月據報考慮離職。他親口告知 Cook，正認真考慮近期離開，並向同事表示若離開將加入其他公司。Srouji 是 Apple 自家晶片（Apple silicon）計劃的設計師，若他攜帶專業知識轉投競爭對手，將對公司造成重大打擊。
Apple 近期已見多位高層離職，包括設計主管 Alan Dye、AI 主管 John Giannandrea、總法律顧問 Kate Adams 及環境/政策副總裁 Lisa Jackson。零售主管 Deirdre O’Brien 與市場營銷高級副總裁 Greg Joswiak 亦據報即將退休。每宗變動均可能引發連鎖反應，令不滿新匯報線的員工離巢。Ternus 需將最小化損失列為首要任務。
Anker 宣佈推出自研 AI 晶片 Thus，計劃在耳機設備、移動配件和物聯網產品中全面引入本地人工智能能力。官方介紹指，Thus 是全球首款面向耳機場景的「存內算一體」（compute-in-memory）AI 晶片，相較傳統晶片體積更小、功耗更低，更適合體積受限、供電能力有限的小型設備。
Anker 聯合創始人兼首席執行官 Steven Yang 表示，目前 AI 晶片大多採用「模型存一邊、計算在另一邊」的架構，設備在每次推論時需以極高頻率在存儲和計算單元之間搬運大量參數，既耗時又耗能。
相比之下，OpenAI 採取「雙軌」策略：一方面在嚴格安全防護條件下，將一個版本更廣泛提供給普通用戶；另一方面則透過「網絡可信訪問」計劃，向防禦方開放一個在網絡操作上更為寬鬆、功能更強的版本。
在華盛頓的介紹會上，OpenAI 全球公共事務主管 Chris Lehane 表示，這一雙軌模式將有助讓更多資源有限的關鍵機構——例如地方水務設施營運方——有機會利用先進 AI 工具強化自身防禦能力。
太陽地工程即是典型例子，這是 MIT Technology Review 近年頻繁報道的議題。其核心理念是用科技解決科技引發的問題：工業革命燃燒石油化學品，將地球大氣變成熱量儲存器，破壞氣候。有些地工程師認為，向平流層釋放顆粒物質可反射陽光回太空，降低全球溫度。經過多年理論討論，部分公司已開始實際實驗。這看似能恢復更自然狀態，卻充滿爭議與風險，例如可能惠及某些國家卻損害他人，或縱容持續燃燒化石燃料與排放溫室氣體。
最新五月/六月刊深入探討這不自然世界中的自然，包括不會唱歌的鳥類、非真狼的狼群與非真草的草地，還檢視北極冰下生命意義，以及 Jeff VanderMeer 的新科幻小說描繪遙遠星球未來。
現代數據結構（data fabric）可將企業既有知識轉化為 AI 可靠基礎。人工智慧在企業應用正迅速從實驗階段轉向日常運作。機構正於財務、供應鏈、人力資源及客戶營運等範疇部署 copilots、agents 及預測系統。根據近期調查，到 2025 年底，半數企業將在至少三個業務功能使用 AI。但隨著 AI 融入核心工作流程，業務領袖發現最大障礙並非模型效能或運算能力，而是系統依賴的數據品質及背景脈絡。
AI 引入新需求：系統不僅需存取數據，還須理解背後業務脈絡。欠缺脈絡，AI 雖能快速產生答案，卻可能作出錯誤決定。SAP Data & Analytics 總裁兼首席產品官 Irfan Khan 表示：「AI 極擅長產生結果，它速度快，但無脈絡便無法行使良好判斷，而良好判斷正是業務投資回報關鍵。僅有速度無判斷不僅無益，反可造成損害。」
數據結構如何賦予 AI 業務脈絡
在自主系統及智能應用時代，此脈絡層至為關鍵。企業需設計完善數據結構，不僅整合數據，更能安全擴展 AI、協調系統及 agents 決策，並確保自動化反映真實業務優先事項，而非孤立決策。許多機構正重新檢視數據架構，而非單純將數據移至單一儲存庫，而是連接應用程式、雲端及營運系統，保留描述業務運作的語意。此轉變推動數據結構成為 AI 基礎設施焦點。傳統數據策略注重聚合，過去二十年企業大量投資從營運系統提取資訊至中央倉庫、數據湖及儀表板。
此法便利報告、監控及洞察生成，但過程中數據附帶的意義——如與政策、流程及決策關係——往往遺失。以兩家使用 AI 管理供應鏈中斷企業為例，一家僅用庫存水平、交貨期及供應分數等原始信號，另一家則加入業務流程、政策及元數據脈絡。兩系統均快速分析，卻得出不同結論。後者知悉策略客戶、短缺權衡及延伸供應鏈狀態，能作策略決策，前者則欠缺脈絡。Khan 指：「兩系統皆速迅，但僅一者方向正確。
這即脈絡優勢，源於數據基礎設計保留跨流程、政策及數據脈絡。」
過去，企業靠人力專家彌補脈絡缺失，但 AI 時代出現短缺，帶來嚴重限制。AI 不僅呈現資訊，還據之行動。若系統未解釋數據重要性，模型或優化錯誤結果。庫存數字、付款紀錄或需求信號雖準確，卻未揭示優先客戶、合約義務或策略產品。結果，系統答案技術正確，卻營運失當。此認知改變企業 AI 準備思維。大多承認欠缺成熟數據流程及基礎設施，僅五分一機構視數據方法高度成熟，9% 感數據整合準備充分。
技術上，建構數據結構需多項能力：透過聯邦而非強制整合存取多環境數據；語意或知識層調和系統意義，常由知識圖譜及目錄元數據支持；治理及政策執行跨結構運作，確保 AI 安全一致存取數據。此基礎讓 AI 與業務知識互動，而非原始儲存，為企業自動化關鍵一步。在 agentic AI 時代，監控、分析及決策責任轉移至軟件。AI agents 可實時監測事件、觸發工作流及決策，常無人力干預。
在 Apple 領導層擔任 15 年後，Tim Cook 將卸任行政總裁一職，由公司資深員工 John Ternus 接任。Ternus 最近出任硬件工程高級副總裁，大半生都在 Cupertino 的 Apple 總部工作。若要找一位對 Apple 了解程度與 Cook 相若的人選，Ternus 無疑是最合適人選。
交接不會即時發生。Cook 的最後一場 Apple 活動將是 6 月的 WWDC26，Ternus 則於 9 月 1 日正式接棒，就在 iPhone 18 Pro 發佈前夕。
此時機頗具意義。Cook 盛讚 Ternus：「John Ternus 擁有工程師的頭腦、創新者的靈魂，以及以誠信和榮譽領導的心。他是一位有遠見的領袖，25 年來對 Apple 的貢獻已難以數計，毫無疑問他是帶領 Apple 邁向未來的合適人選。」
John Ternus 的背景
Ternus 獲任命前任硬件工程高級副總裁，負責監督締造 Apple 成功的實體產品。（Apple 宣布 Johny Srouji 將接任硬件主管。）他於 2001 年加入 Apple 產品設計團隊，專注深受喜愛的 Cinema Display。2013 年升任硬件工程副總裁，2021 年再晉升高級副總裁。
以下為 Ternus 職業歷程重點規格：
年份
職位/責任
2001
加入 Apple 產品設計團隊，專注 Cinema Display
2013
硬件工程副總裁（AirPods、iPad、Mac）
2020
新增 iPhone 硬件
2021
升任硬件工程高級副總裁
2022
新增 Apple Watch
他領導 Apple 從 Intel 處理器轉向 Apple silicon，親自上台宣傳新晶片。2025 年 John Giannandrea 離任 AI 主管後，Apple 的機器人項目亦移交 Ternus 負責。目前，他是 Apple 高層中最年輕成員之一，上任時年僅 51 歲，與 2011 年 Cook 接任時年齡相若，顯示 Apple 著眼長遠規劃。
Tim Cook 非產品導向人士，不同於 Steve Jobs；Ternus 則是徹頭徹尾的硬件專家，或許能解決 Vision Pro 等棘手問題，並推動即將推出的擴增實境眼鏡成功。Ternus 大學畢業後首份工作在 Virtual Research Systems，從事虛擬實境頭顯開發，這或許為 Vision Pro 提供獨特洞見，儘管他 2001 年已離開該公司，VR 領域已大變天翻地覆。
他全程參與 Vision Pro 開發，擁有更多權力或能帶來轉變。
《New York Times》今年早前專訪提及，2018 年 Apple 考慮為 iPhone 加裝 LiDAR 掃描器，但擔心 US$40（約 HK$312）的成本影響利潤。Ternus 建議限 Pro 型號，避免入門機型。此決定非純粹為盈利，而是因 Pro 用戶為忠實粉絲，熱衷新科技；一般消費者或不感興趣。
此舉顯示他對客戶需求洞察精準。
Apple 常被批評過度高端，產品令多數人卻步。若 Ternus 將此洞見應用全線產品，Apple 或能更貼近用戶需求。在維修權辯論中，Ternus 強調提升產品耐用性而非易修性，以避故障及環境負面影響。MacBook Neo 即為近年最易修 Apple 裝置，惟重點或轉向品質與壽命。
Ternus 硬件生涯並非完美，曾推動 MacBook Pro 的 Touch Bar 及蝴蝶鍵盤，現視為重大失誤。
隱私、易用性及環保承諾是否如 Cook 般堅定，仍是未知數。Apple 軟件問題如 AI 及 Liquid Glass 設計亦需關注，但 Ternus 涉足軟件記錄良好。據 Bloomberg，他大力推動 iPadOS 開發，主張專屬系統方能發揮硬件潛力，體現硬軟互補理解。他兼任設計執行贊助人，處理硬件軟件設計議題。
Apple 歷任 CEO 專長各異：Jobs 偏設計營銷，Cook 主運營，Ternus 則硬件為主。
