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Gemini 3.8 Live and 3.8 Live Extended Thinking
241–250 of 334 posts
Re: Gemini 3.8 Live and 3.8 Live Extended Thinking
#242Earlier quoted context omitted.
> Ask yourself, how does Google -- a company that famously does everything -- benefit from SWEs outside of Google having access to powerful coding models? They would just be competition. Bragging rights to say they have a SOTA model. I guess that was more like Google of 10 years ago with moonshot projects. Nowadays, yeah, perhaps if it's not helping sell ads, it doesn't make sense.
Google did it AlphaGo, AlphaFold etc for bragging rights, now let frontier lab do their thing. It would be utter stupidity if they keep competing with hyper agile frontier labs. They sensibly moving to big infra provider and that's good niche. > .. perhaps if it's not helping sell ads, Perhaps cloud business is also a thing which is making big revenue
You say "keep competing"... the hyper agile frontier labs and Google/MSFT are practically one and the same via circular financing arrangements. Competition on the frontier is kinda a farce, what matters is who comes out of the modern-day Darien scheme as a winner.
At worst Google just need to keep the lights on until the frontier labs file for bankruptcy under the weight of that >$1tn debt they've built up paying for FAANG's data centers. Then Google walks away from all of this with the the best remaining models, best R&D lab, and several hundred billion dollars in infrastructure on their balance sheet.
Re: Gemini 3.8 Live and 3.8 Live Extended Thinking
#243Just gave it a try - very solid release. Copes well with thick accent, voices are pleasant and latency seems low. Oh and I can actually use it on a workspace account - which for most of the recent releases was an account stuck in limbo. Not personal enough for personal offering, not enterprise enough for enterprise. Well done G - will definitely be using this
Where did you try it, how can you use it? I have nothing in my Workspace (I am admin), Gemini app, AI Studio. Only 3.6 Flash
Re: Gemini 3.8 Live and 3.8 Live Extended Thinking
#244I don’t understand good experiences people are having with Gemini. It’s the only model that sometimes loses/forgets context in literally next message. Plus feeding unasked product links to responses.
I strongly agree. I suspect it's people who have not yet used the paid models from OpenAI and Anthropic. Gemini is comparable to free models from other providers, but not in the same universe as paid models.
This is frustrating because when I discuss AI with laypeople they think it's still incapable of counting the number of Rs in "strawberry." They believe it to be essentially useless and incapable of basic tasks. Which, to be fair, is the case with the free models.
Re: Gemini 3.8 Live and 3.8 Live Extended Thinking
#245I wonder when/if we’ll see Gemini beating Fable and Astra. Last year I would have confidently bet Google will overtake the others just because they have the data, the hardware (TPUs) and a fat advertising money pipe and yet they are still behind. Anyone anonymous at Google want to hint when Gemini 4 will be out?
> I wonder when/if we’ll see Gemini beating Fable and Astra
Google has essentially give up the race for the frontier. The gap is widening very fast. Their strategy appears to be to focus on niche areas like voice, small models for on-device (see their deal with Apple), and specialised models for tasks like search, which are very inference efficient.
Re: Gemini 3.8 Live and 3.8 Live Extended Thinking
#246Earlier quoted context omitted.
I think 3.7 Flash is very good at coding. I have access to both that and Opus 5. Opus is only slightly better IMO and it's much more frustrating to read.
I think it's good at basic coding and is cheaper and faster. Trying it vs Fable 5.1 I don't see it being even close capability-wise. What I mean by basic coding is "write a script to parse this data" and answering some questions based on the code. It does that well and answers fast. However, when it comes to planning and thinking through a more complicated design problem it's just not there yet.
It's not even close. Some benchmarks show 3.8 Flash as being close to Astra (DeepSWE v1.1), but they are mostly "bench-maxed". Newer benchmarks like Terminal-Bench 4.0 show Astra at 57.9% and 3.8 Flash at 19.1%. For anyone who has tried to code with Gemini models, there is no contest here.
Astra wins handily on every other benchmark, too. Research, science, 3D, visual, Humanity's Last Exam, etc.
Re: Gemini 3.8 Live and 3.8 Live Extended Thinking
#247Did anybody watch the Primeagen's video on Google bag-fumbling? Interesting they released on the same day!
I'm curious to know how do people in FAANG / Bay Area tech industry see influencers like Primeagen, Theo or Casey Muratori.
Do they have a good read on the industry or completely out of touch? Or to put it simply, are they spouting bullshit?
My concern is that some of them arent in the industry or have never been in it.
Re: Gemini 3.8 Live and 3.8 Live Extended Thinking
#248Earlier quoted context omitted.
As sister comments have pointed out, I find that it's very much dependent on the phone you're using. If it can't even show me a waveform then I don't think it's going to be able to tease out any sort of speech
I was using Google's Translate app.
I'm talking about Gemini Live in the Gemini App, not Google Translate.
Tell Gemini Live which speaker you want to engage with, and it is relatively intelligent about it.
Re: Gemini 3.8 Live and 3.8 Live Extended Thinking
#249My first language is Afrikaans, which is a somewhat niche language and hard to find teachers/conversation buddies outside South Africa. (I live in USA now) I've been using Gemini to live chat in Afrikaans and do impromptu Afrikaans grammar lessons during my solo drives around town. It is phenomenal at speaking the language - like, it really shocks my family members when they hear it. This is probably the most joy I g…
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How to tell if someone doesn’t understand selection bias…
Re: Gemini 3.8 Live and 3.8 Live Extended Thinking
#250Earlier quoted context omitted.
sounds vibes and bias laden
what's your solution? force people to use gemini until they like it? or hire them as googlers?
my approach is to not use closed weight models, I'm not trying to solve for how to get people to use gemini, quite the opposite actually