{"id":97613,"date":"2026-01-06T15:28:41","date_gmt":"2026-01-06T20:28:41","guid":{"rendered":"https:\/\/danielschristian.com\/learning-ecosystems\/?p=97613"},"modified":"2026-01-06T15:28:41","modified_gmt":"2026-01-06T20:28:41","slug":"at-ces-2026-everything-is-ai-what-matters-is-how-you-use-it-ashworth-other-items-re-ai-in-general","status":"publish","type":"post","link":"https:\/\/danielschristian.com\/learning-ecosystems\/2026\/01\/06\/at-ces-2026-everything-is-ai-what-matters-is-how-you-use-it-ashworth-other-items-re-ai-in-general\/","title":{"rendered":"“At CES 2026, Everything Is AI. What Matters Is How You Use It” [Ashworth] + other items re: AI in general"},"content":{"rendered":"

At CES 2026, Everything Is AI. What Matters Is How You Use It<\/a><\/strong>\u00a0— from wired.com by Boone Ashworth
\nIntegrated chatbots and built-in machine intelligence are no longer standout features in consumer tech. If companies want to win in the AI era, they\u2019ve got to hone the user experience.<\/em><\/p>\n

Beyond Wearables<\/strong>
\nRight now, AI is on your face and arms\u2014smart glasses and smart watches\u2014but this year will see it proliferate further into products like earbuds, headphones, and smart clothing.<\/p>\n

Health tech will see an influx of AI features too, as companies aim to use AI to monitor biometric data from wearables like rings and wristbands. Heath sensors will also continue to show up in newer places like toilets, bath mats, and brassieres.<\/p>\n

The smart home will continue to be bolstered by machine intelligence, with more products that can listen, see, and understand what\u2019s happening in your living space. Familiar candidates for AI-powered upgrades like smart vacuums and security cameras will be joined by surprising AI bedfellows like refrigerators and garage door openers.<\/p>\n

\n

Along these lines, see<\/strong><\/span><\/em>
\nlive updates from CNET here.<\/strong><\/a><\/p>\n

\n

ChatGPT is overrated. Here\u2019s what to use instead.<\/strong><\/a>\u00a0— from washingtonpost.com by Geoffrey A. Fowler
\nWhen I want help from AI, ChatGPT is no longer my default first stop.<\/em><\/p>\n

\n
\n

I can tell you which AI tools are worth using \u2014 and which to avoid \u2014 because I\u2019ve been running a chatbot fight club.<\/p>\n

I conducted dozens of bot challenges based on real things people do with AI, including writing breakup texts and work emails<\/a>,\u00a0decoding legal contracts and scientific research<\/a>,\u00a0answering tricky research questions<\/a>, and\u00a0editing photos and making \u201cart.\u201d<\/a>\u00a0Human experts including best-selling authors, reference librarians, a renowned scientist and even a Pulitzer Prize-winning photographer judged the results.<\/p>\n

After a year of bot battles, one thing stands out: There is no single best AI. The smartest way to use chatbots today is to pick different tools for different jobs \u2014 and not assume one bot can do it all.<\/p>\n<\/div>\n<\/div>\n

\n

How Collaborative AI Agents Are Shaping the Future of Autonomous IT<\/strong><\/a> — from aijourn.com by Michael Nappi<\/p>\n

Some enterprise platforms now support cross-agent communication and integration with ecosystems\u00a0maintained\u00a0by companies like Microsoft, NVIDIA, Google, and Oracle. These cross-platform data fabrics break down silos and turn isolated AI pilots into enterprise-wide services. The result is an IT backbone that not only automates but also collaborates for continuous learning, diagnostics, and system optimization in real time.<\/p>\n

\n
\n

Nvidia dominated the headlines in 2025 \u2014 these were its 15 biggest events of the year<\/strong><\/a>\u00a0— from finance.yahoo.com by Daniel Howley<\/p>\n

It\u2019s difficult to think of any single company that had a bigger impact on Wall Street and the AI trade in 2025 than Nvidia (NVDA).
\n…
\nNvidia\u2019s revenue soared in 2025, bringing in $187.1 billion, and its market capitalization continued to climb, briefly eclipsing the $5 trillion mark before settling back in the $4 trillion range.<\/p>\n

There were plenty of major highs and deep lows throughout the year, but these 15 were among the biggest moments of Nvidia\u2019s 2025.<\/p>\n

\n

 <\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

At CES 2026, Everything Is AI. What Matters Is How You Use It\u00a0— from wired.com by Boone Ashworth Integrated chatbots and built-in machine intelligence are no longer standout features in consumer tech. If companies want to win in the AI era, they\u2019ve got to hone the user experience. Beyond Wearables Right now, AI is on […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[356,817,387,208,127,210,533,35,63,391,64,216,860,869,309,196,460,195,206,156,312,186,367,562],"tags":[],"class_list":["post-97613","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence-agents-llms-and-related","category-bots","category-business","category-cloud-based-computing-apps","category-collaboration","category-emerging-technologies","category-experimentation","category-game-changing-environment","category-google","category-human-computer-interaction-hci","category-it-in-he","category-microsoft","category-nvidia","category-open-ai","category-platforms","category-productivity-tips-and-tricks","category-technology-general","category-tools","category-trends","category-usability","category-user-experience-ux","category-user-interface-design","category-vendors","category-wearables"],"_links":{"self":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/97613","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/comments?post=97613"}],"version-history":[{"count":5,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/97613\/revisions"}],"predecessor-version":[{"id":97683,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/97613\/revisions\/97683"}],"wp:attachment":[{"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=97613"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=97613"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=97613"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}