Iftekhar Naim

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Iftekhar Naim

Iftekhar Naim

@IftekharNaim

Software Engineer and Researcher at Google.

Sunnyvale, CA Katılım Eylül 2012
1.1K Takip Edilen1.3K Takipçiler
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Melvin Johnson
Melvin Johnson@melvinjohnsonp·
Today, we introduced Gemini 3.5 Flash ⚡ Our most capable coding and agentic model — where "fast" and "best" aren't a tradeoff. Try it now across Antigravity, AI Studio, Gemini App, and AI Mode.
Logan Kilpatrick@OfficialLoganK

Welcome to Gemini 3.5 Flash, our most powerful model to date. It pushes the frontier of intelligence, speed, and cost putting 3.5 Flash in a class of its own. We spent the last 6 months making sure Flash is great for real world use cases. It's available everywhere now!

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raia hadsell
raia hadsell@RaiaHadsell·
It's been about 20 years since I first started working on embeddings with Yann LeCun (siamese networks!), and I've been fascinated ever since. Gemini Embeddings 2 approaches the platonic ideal: native embedding of text, image, video, audio, and docs to a single space.
Google AI Studio@GoogleAIStudio

x.com/i/article/2031…

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Demis Hassabis
Demis Hassabis@demishassabis·
Ten years ago, AlphaGo’s legendary match in Seoul heralded the start of the modern era in AI. Its famous ‘Move 37’ signaled to us that AI techniques were ready to tackle real-world problems in areas like science - and ideas inspired by these methods are critical to building AGI
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Ilya Sutskever
Ilya Sutskever@ilyasut·
It’s extremely good that Anthropic has not backed down, and it’s siginficant that OpenAI has taken a similar stance. In the future, there will be much more challenging situations of this nature, and it will be critical for the relevant leaders to rise up to the occasion, for fierce competitors to put their differences aside. Good to see that happen today.
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Jeff Dean
Jeff Dean@JeffDean·
Main lore around the origin of MapReduce was that we were rewriting our indexing pipeline for the search system, and we realized that lots of the different phases were conceptually simple but required large scale processing (extract link text from each page, identify language for each page, compute checksum of contents to identify duplicates, etc). Each phase needed to be parallelized, made robust to machine failures, etc. Squinting at each of the phases we came up with MapReduce as an abstraction where we could have an implementation that would do all the complex work under the abstraction boundary, and where the expression of the operations could be nice and simple.
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Demis Hassabis
Demis Hassabis@demishassabis·
Thrilled to announce a big upgrade to Gemini 3 Deep Think that hits new records on the most rigorous benchmarks in maths, science & reasoning - including 84.6% on ARC-AGI-2, 48.4% Humanity’s Last Exam without tools, and 3455 Elo rating on Codeforces!
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Jeff Dean
Jeff Dean@JeffDean·
We’ve updated Gemini 3 Deep Think to better tackle the complexity of real-world research, science, and engineering. ♊ 🚀 It achieves gold-medal standards on the written portions of the Physics and Chemistry Olympiads, building on gold-level performance at IMO and ICPC and has SOTA results on ARC-AGI-2, MMMU-Pro, and HLE. 🏅 From optimizing code to validating scientific data, we’re seeing it become a genuine partner in the discovery process. Read more here: bit.ly/4kzBLqq
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Jeff Dean
Jeff Dean@JeffDean·
Gemini+Genie 3 are helping @Waymo simulate long tail scenarios to make driving safer.
Waymo@Waymo

We’re excited to introduce the Waymo World Model—a frontier generative mode for large-scale, hyper-realistic autonomous driving simulation built on @GoogleDeepMind’s Genie 3. By simulating the “impossible”, we proactively prepare the Waymo Driver for some of the most rare and complex scenarios—from tornadoes to planes landing on freeways—long before it encounters them in the real world. waymo.com/blog/2026/02/t…

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Jeff Dean
Jeff Dean@JeffDean·
Very proud to see the progress across so many areas. Great to see @GeminiApp hit 750M monthly active users, and the use of our Gemini models across many products and Cloud surfaces is strong: 10B tokens/minute is 166M tokens/sec (TPUs!), or ~1750 tokens/person on earth per day.
Sundar Pichai@sundarpichai

Our Q4/FY’25 results are in. Thanks to our partners & employees, it was a tremendous quarter, exceeding $400B in annual revenue for the first time. Our full AI stack is fueling our progress, and Gemini 3 adoption has been faster than any other model in our history. We’re really well positioned and excited going into 2026. Much more to come!

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Josh Woodward
Josh Woodward@joshwoodward·
Scientific citations getting a boost in @GeminiApp! When you ask Gemini to include scientific sources, you will now see proper APA-style inline citations and detailed reference sections, which should help students and researchers everywhere. We're just starting to roll this out with prompts that are clearly scientific in nature, so you might not see it everywhere yet. Let us know what you think!
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Demis Hassabis
Demis Hassabis@demishassabis·
AlphaGenome is our latest & most advanced genomics model published in @Nature today including making the model & weights available to academic researchers. Can’t wait to see what the research community will do with it. Congrats to the team on our newest front cover! #AI4Science
Google DeepMind@GoogleDeepMind

Our breakthrough AI model AlphaGenome is helping scientists understand our DNA, predict the molecular impact of genetic changes, and drive new biological discoveries. 🧬 Find out more in @Naturegoo.gle/4bXlV6y

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Nick Fox
Nick Fox@thefox·
Just shipped a state-of-the-art model upgrade for Google Translate!! 🚀 - Smarter text translations in the Translate app, web & Search - Natural real-time translations with 🎧 on for Live Translate - Expanded language learning in the app – just tap Practice Get the app here: translate.google.com/about/
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Sundar Pichai
Sundar Pichai@sundarpichai·
Helpful update for students, you can now take full practice SATs for free in the @GeminiApp. It uses vetted content from @ThePrincetonRev and gives you feedback straight away. Starting with the SAT today, but more tests are on the way!
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Jeff Dean
Jeff Dean@JeffDean·
In 2024, I was delighted to be a co-author on an Arxiv paper on"Shaping AI's Impact on Billions of Lives", covering areas we thought AI would have significant impact on the world. We cover AI's potential impact on employment, education, healthcare, (mis)information, media, national security, and science, and propose 18 potential moonshot research directions in these areas to maximize positive impact and minimize downsides. A shortened version appears as the cover article in this month's Communications of the ACM (CACM). CACM version: cacm.acm.org/research/shapi… (~12 pages + video discussion with David Patterson) Arxiv: arxiv.org/abs/2412.02730 (expanded 30 page version) You can find these and more at: shapingai.com It was a delight to work on this with awesome co-authors! Authors: Mariano-Florentino Cuéllar, myself (@JeffDean), @FinaleDoshi, John Hennessy, @andykonwinski, @sanmikoyejo, @tamati_biskit, @2plus2make5, and David Patterson. (PDF link of CACM version is a bit hard to find. It's at dl.acm.org/doi/pdf/10.114…)
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Demis Hassabis
Demis Hassabis@demishassabis·
We’ve been intensely cooking Gemini 3 for a while now, and we’re so excited and proud to share the results with you all. Of course it tops the leaderboards, including @arena, HLE, GPQA etc, but beyond the benchmarks it’s been by far my favourite model to use for its style and depth, and what it can do to help with everyday tasks.
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