Go touch some grass - or walk through your neighborhood’s weekday Halloween fair - tell the kids how scary their costumes are and eat loads of bread from the neighborhood bakers.
Biased recommendation - the Los Altos Halloween market
Biased recommendation - the Los Altos Halloween market
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Divy Thakkar retweeted
The pace of AI development in the next 12 months is going to be astonishing.
Sundar Pichai on the earnings call:
'This rapid progress underscores our incredible model momentum. We are at the point where AI is helping us increase our training and launch velocity. I would expect the next twelve months to see continued acceleration because of RSI.'
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science and reasoning 🚀
Just two weeks after rolling out Gemini 4 Argon, excited to share a preview of Gemini 4 Carbon - our next frontier model. It has state-of-the-art long horizon coding capabilities driving SOTA performance across the cybersecurity defense lifecycle including detection, validation, o ranks #1 overall on the recently updated v5.0 of Artificial Analysis Intelligence Index at 59.
We're starting by rolling out to a subset of cyber defenders through our Fairwind Program this week and soon expanding access further. Read more at: blog.google/innovation-and…
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it's amazing to see neolabs showcase progress in rsi and human-ai collaboration! big congrats to friends at flappy, humans&, mirendil, recursive! getting the first version is always the biggest one -- and can't wait to see the ecosystem grow !
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Gemini 🤝 life sciences
Thanks, Zane, @SGRodriques @andrewwhite01 and team for constantly producing new benchmarks for the field.
Thanks, Zane, @SGRodriques @andrewwhite01 and team for constantly producing new benchmarks for the field.
the recent model releases have pushed the pareto frontier dramatically on our long-horizon bioinformatics benchmark @EdisonSci, BixBench3
this week Gemini 4 Argon takes the top spot
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Divy Thakkar retweeted
Strong showing from Gemini 4 Argon on ARC-AGI-3!
Gemini 4 Argon from @Google on ARC-AGI (Verified):
- ARC-AGI-3: 97.5%, $4.8K (provider adapter harness), 49.8%, $5.8K (standard harness)
- ARC-AGI-2: 91.3%, $0.32/task
- ARC-AGI-1: 98.5%, $0.16/task
Google DeepMind is the second frontier AI lab to score above 95% on ARC-AGI-3.
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Last weekend, I was assembling a new chair and couldn’t align the screws at the last step to get the backrest up. None of the models helped me figure out what I was doing wrong, decided to try Elorion with the same pictures.
This model figured out the fundamental flaw in base positioning quickly - what took me lots of swearing and brute force.
Can’t wait to see what it does for far more important use-cases ! Congratulations @AndrewDai and team!
This model figured out the fundamental flaw in base positioning quickly - what took me lots of swearing and brute force.
Can’t wait to see what it does for far more important use-cases ! Congratulations @AndrewDai and team!
Spent years watching models ace a single image and completely whiff on anything that moves or changes angle. Today we’re fixing that.
Try Glimpse now, our first visual thinking model with competitive frontier performance compared to Astra on key public visual reasoning benchmarks.
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Divy Thakkar retweeted
My favorite part of the Gemini 4 Argon story is how deeply the model is embedded in its own evolution—from auditing its own training data to unlocking deep reasoning trajectories with 1M single-step output tokens.
When your post-training demand shifts from asking for raw chips to asking for Argon quota, you know the RSI flywheel has reached a new gear.
When your post-training demand shifts from asking for raw chips to asking for Argon quota, you know the RSI flywheel has reached a new gear.
A conversation with Sergey Brin, @joshwoodward, @tulseedoshi, and @melvinjohnsonp about Gemini 4 Argon, how we got here, and the path ahead!
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We're significantly expanding access to Gemini for scientists via antigravity - sign up now!
Top of mind question for scientists on data retention - please turn off telemetry if you'd like.
docs.google.com/forms/d/e/1FAI…
Top of mind question for scientists on data retention - please turn off telemetry if you'd like.
docs.google.com/forms/d/e/1FAI…
Excited to launch Gemini 4 Argon, designed to help with hardest coding and knowledge work tasks with its frontier capabilities..
For developers and enterprises, it’s available in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ultra and Pro subscribers in the Gemini app and Search.
Read more: blog.google/innovation-and…
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Divy Thakkar retweeted
Introducing DeepRSI, a new industry standard for measuring recursive self-improvement.
On preexisting benchmarks, tasks are contributor-based and short-horizon (~12 hrs). In DeepRSI, we push agents to work 48 hours on ML tasks actually derived from ongoing proprietary research.
On preexisting benchmarks, tasks are contributor-based and short-horizon (~12 hrs). In DeepRSI, we push agents to work 48 hours on ML tasks actually derived from ongoing proprietary research.
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Divy Thakkar retweeted
looking to nerdsnipe some of the best scientists into joining me as operators to make a lasting impact on Gemini's scientific capabilities. know someone?
> scientist (life sciences / physical sciences / math)
> wants to be an operator at a frontier ai lab
> like to be in the weeds of data and evals
> agi-pilled
> idc if you're experienced or a recent grad (bs/ms/phd) : passion + drive >>>
> human written short emails/messages, apply link below
> scientist (life sciences / physical sciences / math)
> wants to be an operator at a frontier ai lab
> like to be in the weeds of data and evals
> agi-pilled
> idc if you're experienced or a recent grad (bs/ms/phd) : passion + drive >>>
> human written short emails/messages, apply link below
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looking to nerdsnipe some of the best scientists into joining me as operators to make a lasting impact on Gemini's scientific capabilities. know someone?
> scientist (life sciences / physical sciences / math)
> wants to be an operator at a frontier ai lab
> like to be in the weeds of data and evals
> agi-pilled
> idc if you're experienced or a recent grad (bs/ms/phd) : passion + drive >>>
> human written short emails/messages, apply link below
> scientist (life sciences / physical sciences / math)
> wants to be an operator at a frontier ai lab
> like to be in the weeds of data and evals
> agi-pilled
> idc if you're experienced or a recent grad (bs/ms/phd) : passion + drive >>>
> human written short emails/messages, apply link below
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note on location: bay-area only, sorry - our entire team is here and we're an in-person team!
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In a world of people who understand model performance superficially - be the person that builds an eval and learn what it takes to generate truly meaningful training data.
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Divy Thakkar retweeted
Very excited to announce Gemini 4 Argon! It delivers frontier performance across coding, knowledge work and cyber defense capabilities. The model is well-rounded and has great writing quality. The team has been hard at work producing this and we've all enjoyed using it everyday.
Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon!
It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from ting, great feedback.
Here’s a look at the benchmarks:
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