Question: how does it feel inside google in terms of losing their lunch to OpenAi? Losing here is very loose, I don’t think OpenAI won yet but seems to have made a leap ahead of google in terms of marker share and we know google was sitting on tons of breakthroughs and research. Any panicking or internal discontent at google’s product policies? No need to answer if you’re uncomforable that your employer may hold you responsible for what you write here.
This is an unusual opinion in industry, although common with consumers.
Currently, Google has the most cost effective model (Flash 2) for tons of corporate work (OCR, classifiers, etc).
They just announced likely the most capable model currently in the market with Gemini 2.5.
Their small open source models (Gemma 3) are very good.
It is true that they've struggled to execute on product, but the actual technology is very good and getting substantial adoption in industry. Personally I've moved quite a few workloads to Google from OpenAI and Anthropic.
My main complaint is that they often release impressive models, but gimp them in experimental mode for too long, without fully releasing them (2.5 is currently in this category).
From my perspective (talking very generally about the mood and environment here), it’s important to remember that Google is a very, very big company with many products and activities outside of AI.
As far as I can see, there is a mix of frustration at the slowness of launching, optimism/excitement that there are some really awesome things cooking, and indifference from a lot of people who think AI/LLMs as a product category are quite overhyped.
Nobody serious believes this. OpenAI may be eating up consumer mindshare - but Google are providing some of the most capable, best, cheapest and fastest models for dev integration.
They just released a SOTA model (Gemini 2.5 Pro) that beats all models on most benchmarks, it's a great comeback from the model side but IMO they are less strong on the product side, they pioneered the sticky ecosystem of web app products model, though kinda like the Microsoft Office suite that (originally) had to be downloaded, ironically building on XML HTTP request support the IE5 introduced for Outlook.
larodi|11 months ago
sans_souse|11 months ago
lugao|11 months ago
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onemoresoop|11 months ago
mediaman|11 months ago
Currently, Google has the most cost effective model (Flash 2) for tons of corporate work (OCR, classifiers, etc).
They just announced likely the most capable model currently in the market with Gemini 2.5.
Their small open source models (Gemma 3) are very good.
It is true that they've struggled to execute on product, but the actual technology is very good and getting substantial adoption in industry. Personally I've moved quite a few workloads to Google from OpenAI and Anthropic.
My main complaint is that they often release impressive models, but gimp them in experimental mode for too long, without fully releasing them (2.5 is currently in this category).
MyelinatedT|11 months ago
As far as I can see, there is a mix of frustration at the slowness of launching, optimism/excitement that there are some really awesome things cooking, and indifference from a lot of people who think AI/LLMs as a product category are quite overhyped.
nikcub|11 months ago
luke-stanley|11 months ago