Dmitri Dolgov ✓

@dmitri_dolgov · joined 29 Jan 2017

Co-CEO at @waymo

29 466Followers

74Following

267Posts total

179.7KViews on collected posts

Neueste Beiträge

Dmitri Dolgov ✓@dmitri_dolgov26 Aug

At @Waymo, 200M+ fully autonomous miles have taught us that there are no shortcuts to building and scaling physical AI safely. Our VP of Onboard Software, Srikanth Thirumalai, shares 10 fundamental AI lessons that inform our approach, from multimodal sensing to closed-loop 15.7K views · 196 likes · 20 reposts · 30 replies Open on X →

Dmitri Dolgov ✓@dmitri_dolgov20 Aug

Deploying physical AI that makes split-second decisions in complex urban environments requires powerful onboard compute. Today, we’re introducing our first custom silicon. 10.2K views · 195 likes · 13 reposts · 5 replies Open on X →

Dmitri Dolgov ✓@dmitri_dolgov29 Jul

With the Ojai rolling out, we’re reimagining the cabin experience - the platform has amazing potential! We’re now bringing in Gemini for voice interaction and a redesigned UI focused on rider comfort. Excited for folks to try it out, more to come! 13.4K views · 160 likes · 9 reposts · 12 replies Open on X →

Dmitri Dolgov ✓@dmitri_dolgov25 Jun

Our latest safety report over 220M+ fully autonomous miles shows >16x better vs human performance in serious injury collisions. Great to see the picture holding as we expand. Massive testament to the eng and safety rigor of our team -- proud of their amazing work! 8.4K views · 104 likes · 15 reposts · 8 replies Open on X →

Dmitri Dolgov ✓@dmitri_dolgov24 Jun

220M+ fully autonomous miles driven, and Waymo's safety performance remains remarkably consistent. Even as we scaled into increasingly complex environments like airports and new cities, the safety benefits kept compounding. Check out the full analysis on our Safety Data Hub: h 59.4K views · 250 likes · 42 reposts · 11 replies Open on X →

Dmitri Dolgov ✓@dmitri_dolgov8 Jun

A good example of predictive AI from the Waymo Driver: in a split second, it predicted an initial crash of human-driven cars in the next lane, anticipated a secondary collision, and proactively shifted lanes — all while managing its distance from the vehicles around it. https:// 72.5K views · 745 likes · 68 reposts · 30 replies Open on X →

Im Vergleich zu Konten gleicher Größe

2 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird mehr Menschen gezeigt als Konten gleicher Größe.

Medianaufrufe12 924dieses Konto924Median für 10K–100K

Reichweite, %43.86%dieses Konto3.62%Median für 10K–100K

Interaktion, %1.85%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	12 924	924	14.0×
Reichweite (Aufrufe ÷ Follower)	43.86%	3.62%	12.1×
Interaktionsrate	1.85%	1.52%	1.22×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

72.5K8 Jun

59.4K24 Jun

8.4K25 Jun

13.4K29 Jul

10.2K20 Aug

15.7K26 Aug

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.17%8 Jun

0.54%24 Jun

1.53%25 Jun

1.37%29 Jul

2.09%20 Aug

1.61%26 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes78.3%1 650 in total

Reposts7.9%167 in total

Replies4.6%96 in total

Quotes1.8%37 in total

Bookmarks7.5%158 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.