dfletcher

I just interviewed someone in China building the AI infrastructure to run robots, after visiting a Silicon Valley robot company earlier. He, and others, say don't be fooled by the videos you see on X: that a generalized, safe, robot that can come into our homes is years away (most say five to 10). That said, they will do specific things this year in factories and other businesses. And every month we'll see them do more. This matches what I saw at CES, where we saw @DynaRobotics folding laundry, or @UnitreeRobotics dancing, or @XPengMotors robots here walking. No one is really ahead in this race, but lots of positioning to help get investors to pour capital into these companies because the payoff is so large. It also keeps armies of smart people employed building video capture systems, sensors, motors, chips, simulators, world models, and other things that the robots will need to see improved for years. It is clear to me that there is a huge demand for computer scientists, electrical and mechanical engineers, and many others needed to supply this new industry for years. While lots of AI, like Anthropic Claude, can write code, which takes away lots of "coding" jobs, it is clear there is still a ton of demand for new workers in this new industry which is just starting its growth path. Feels like the early smartphone industry right now, and X is the place to be to watch this industry take shape. Well, today was a busy day, now gotta go have some fun with @dreamina_ai and @Kling_ai, which is what I do for fun. Speaking of which, I wasn't watching X very closely today and when I got back to my feed it rocked with a ton of new things, like this one from @overworld_ai, which is a new kind of world model: teapawt.net/overworld_ai/status/20… See, the research into robotics is bringing us fun new things in other domains like making fun videos for your family and friends. Of course I have lists here on X for each of these. Kling, for instance, is on my Holodeck list. And I built lists of the robotics industry, among many others: teapawt.net/scobleizer/lists (if you hate the algorithm, why aren't you using lists? They are a lot better than the main feed for learning, especially if you put them into X Pro. You should see my screens, there is an insane amount of new things being shared every minute by the AI industry). Grok might say this post doesn't have enough rage bait to get massive reach, which bums me out because making some sort of angry post isn't gonna get more people to join the AI industry and start to learn to do new things, whether it will be making a fun video, or designing something new for their business, or joining the robotic industry.

Search Engine History: Before Google’s launch in 1998, several search engines were already popular. Archie (1990) - Often considered the first search engine, Archie indexed FTP files, helping users find and download files. Veronica and Jughead (1991) - These two searched Gopher files, a text-based browsing system predating the World Wide Web. Excite (1993) - One of the early commercial search engines, Excite used statistical analysis for results. Yahoo! Directory (1994) - Started as a directory of websites curated by human editors, Yahoo! added a search engine later. WebCrawler (1994) - The first search engine to index entire web pages, making them searchable by keywords. Lycos (1994) - Known for its comprehensive approach, Lycos indexed a large number of documents early on. Infoseek (1994) - This engine gained popularity with users and eventually partnered with Disney. AltaVista (1995) - Known for its advanced features and powerful search algorithms, AltaVista was a leader before Google’s arrival. HotBot (1996) - Known for its speed and ease of use, HotBot was initially powered by the Inktomi search engine. Ask Jeeves (1996) - Known for its question-and-answer format, Ask Jeeves (later rebranded as Ask) allowed users to enter questions in plain language. Dogpile (1996) - This meta-search engine aggregated results from several engines, offering a unique approach. These early search engines paved the way for Google, which ultimately became dominant due to its PageRank algorithm and simplicity in delivering relevant search results.

This year’s top strategic technology trends are either driven by AI or support an evolving AI-driven world. Separate the hype from reality and learn which trends will really impact your business goals in the years to come: gtnr.it/3tzaDBr #GartnerSYM #TechTrends #AI

To close the first day of #NASCIO23 panels, @UtahGov CIO Alan Fuller and @OhGov CIO Katrina Flory discuss establishing #IdentityManagement programs to improve the citizen experience when engaging with #DigitalGovernment.

It's Doug Robinson, NASCIO Executive Director! 👋 Make sure to say hello to Doug at #NASCIO23!

A fuller than full crowd for the #NASCIO23 workshop on #generativeAI. What does the future hold for AI in state government? Stay tuned for a @StateTech video on what CIOs are saying.

This is unreal 🤯 I just used #ArtificialIntelligence #AI to translate my voice & sync my lips to give the impression I speak Spanish 🇪🇸/German 🇩🇪 fluently (I don't btw). I used @HeyGen_Official Video Translate BETA & my mind is blown. ⬇️