@here Technologies Industry Analyst Relations: #Maps #AutonomousVehicles, #AutonomousDriving, #Robotaxis, #LastMile, #Fleet. ex-QNX IAR. My views are my own

London, England
Joined September 2015
Cool looking gadget. Costs as much as a beefed up gaming PC or a local LLM system but Holly Hinge !
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Angelos Lakrintis retweeted
Most AI assistants know places. HERE Location Reasoning (HLR) understands relationships between them. See how location-aware AI transforms suggestions into practical travel plans grounded in real-world geography. Learn what's possible with HLR: t.her.is/3RGYDu2
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Angelos Lakrintis retweeted
ICYMI: We take a look back at HERE Directions 2026. 🎥 Over two days in Munich, innovators across automotive, mobility, transport and logistics discussed how the convergence of AI and location intelligence is changing the way we move people, goods and businesses.
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Angelos Lakrintis retweeted
"theyre called 'dashboards.' and they turn unstructured data into actionable insights about critical business functions"
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Angelos Lakrintis retweeted
Verne -which is backed by Uber and powered by Chinese self-driving firm Pony ai -has been testing a commercial robotaxi service in Zagreb, expecting to launch in 2027 as the first EU robotaxi service. At the moment it costs 1.99€ per ride. france24.com/en/live-news/20…
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Any news on Tesla's Cybercab? I thought they would have started trials in big cities by now.
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Angelos Lakrintis retweeted
Mission S. Authentic. Consistent. Timeless. A glimpse into the future - shaped by our heritage. Mid-engine architecture. A focus on the driver and the driving experience. Call it a love letter.
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Before flying Roadsters we had the Greek 🇬🇷 Korres P4 that did unthinkable things
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Angelos Lakrintis retweeted
bro
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Angelos Lakrintis retweeted
🏆 At HERE Directions, we proudly presented the HERE Horizon Awards, recognizing organizations advancing autonomous driving, logistics, and AI-powered experiences through location technology. Congrats to QCraft, ThunderSoft, Hapag-Lloyd, and RADARO. 👏 t.her.is/4yPUGUb
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Angelos Lakrintis retweeted
No they can't.
Robots can already do about 3/4 of physical job tasks in the US, per Anthropic. But they're cheaper than a human for just 0.3% of them. At the historical rate robots get cheaper, it would take about 40 years for that to reach 10%. Even in the fastest scenario, robots don't become cheaper than people for half of physical work until 2050.
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Discover how AI-driven mapping is revolutionizing autonomous vehicles with insights from Remco Timmer, SVP at HERE Technologies. Explore the future of software-defined driving today! okt.to/HBc4T7
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