Leonidas Tam (@leoktam) 's Twitter Profile
Leonidas Tam

@leoktam

Head of Engineering amicus.ai. Optimistic cynic. Author of Truth Engine amazon.com/gp/aw/d/B0CMQ1…. Former research @nvidia

ID: 2996216245

linkhttp://leotam.github.io/ calendar_today25-01-2015 20:00:26

1,1K Tweet

1,1K Followers

258 Following

Darragh (@gonedarragh) 's Twitter Profile Photo

Our team, NemoSkills, is presumptive winner of AIMO2. Outstanding organization from AIMO, Kaggle, XTX markets, Simon Frieder. Stay tuned for more performance evaluations currently underway. #NVIDIA - Ivan Moshkov Shubham Toshniwal Igor Gitman Dieter, IvanSorokin, BenediktSchifferer

Our team, NemoSkills, is presumptive winner of AIMO2. Outstanding organization from AIMO, Kaggle, XTX markets, <a href="/friederrrr/">Simon Frieder</a>. Stay tuned for more performance evaluations currently underway. #NVIDIA - <a href="/i_vainn/">Ivan Moshkov</a> <a href="/ShubhamToshniw6/">Shubham Toshniwal</a> <a href="/igtmn/">Igor Gitman</a> <a href="/kagglingdieter/">Dieter</a>, IvanSorokin, BenediktSchifferer
Paul Couvert (@itspaulai) 's Twitter Profile Photo

So Google Sheets now has a "=AI" formula?! You can process data that was impossible before in a spreadsheet. Gemini understands what's in the cells and returns a tailor-made answer according to your instructions. Examples and formulas below

So Google Sheets now has a "=AI" formula?!

You can process data that was impossible before in a spreadsheet.

Gemini understands what's in the cells and returns a tailor-made answer according to your instructions.

Examples and formulas below
Sundar Pichai (@sundarpichai) 's Twitter Profile Photo

Introducing DolphinGemma, an LLM fine-tuned on many years of dolphin sound data 🐬 to help advance scientific discovery. We collaborated with Wild Dolphin Project to train a model that learns vocal patterns to predict what sound they might make next. It’s small enough (~400M params)

NVIDIA Newsroom (@nvidianewsroom) 's Twitter Profile Photo

Within the next 4 years, NVIDIA plans to produce up to half a trillion dollars of AI infrastructure in the U.S. β€” partnering with TSMC, Foxconn, Wistron, Amkor & SPIL. We're meeting the demand for AI chips and supercomputers, strengthening supply chains, and boosting resiliency.

Within the next 4 years, NVIDIA plans to produce up to half a trillion dollars of AI infrastructure in the U.S. β€” partnering with TSMC, Foxconn, Wistron, Amkor &amp; SPIL.

We're meeting the demand for AI chips and supercomputers, strengthening supply chains, and boosting resiliency.
Satya Nadella (@satyanadella) 's Twitter Profile Photo

We’re bringing the latest GPT-4.1 models from OpenAI to Foundry, representing significant advancements in coding, instruction following, and long-context processing. Big upgrades for devs building with AI.

Demis Hassabis (@demishassabis) 's Twitter Profile Photo

In the future soon, we will be able to communicate with many intelligent animal species - can't wait to better understand what my dog🐢is saying! Congrats to the DolphinGemma team building on our Gemma models - the most powerful single GPU/TPU open source models out there!

Tianqi Chen (@tqchenml) 's Twitter Profile Photo

#MLSys2025 early registration deadline is today, register at mlsys.org/Register/ to get a discounted price. Looking forward to seeing everyone at the conference!

Google DeepMind (@googledeepmind) 's Twitter Profile Photo

We built an AI model to simulate how a fruit fly walks, flies and behaves – in partnership with HHMI | Janelia. πŸͺ° Our computerized insect replicates realistic motion, and can even use its eyes to control its actions. Here’s how we developed it – and what it means for science. 🧡

NVIDIA Data Center (@nvidiadc) 's Twitter Profile Photo

πŸ“£ Oracle Cloud has launched its first wave of liquid-cooled NVIDIA GB200 NVL72 racks, now live and available for customer use. Thousands of #NVIDIABlackwell GPUs and high-speed NVIDIA networking are being deployed across OCI’s global data centers, powering #NVIDIADGX Cloud and

πŸ“£ <a href="/OracleCloud/">Oracle Cloud</a> has launched its first wave of liquid-cooled NVIDIA GB200 NVL72 racks, now live and available for customer use. 

Thousands of #NVIDIABlackwell GPUs and high-speed NVIDIA networking are being deployed across OCI’s global data centers, powering #NVIDIADGX Cloud and
lmarena.ai (formerly lmsys.org) (@lmarena_ai) 's Twitter Profile Photo

Andrej Karpathy Thanks Andrej Karpathy for the feedback! That's why we continue to build new evaluation like WebDev Arena to capture more advanced and real coding use cases. Claude is #1 on this leaderboard.

<a href="/karpathy/">Andrej Karpathy</a> Thanks <a href="/karpathy/">Andrej Karpathy</a> for the feedback! That's why we continue to build new evaluation like WebDev Arena to capture more advanced and real coding use cases.

Claude is #1 on this leaderboard.
Matt Shumer (@mattshumer_) 's Twitter Profile Photo

WOW. Mercury coder feels almost as fast as models on Groq, but it runs on consumer hardware. Just wait till the Groq Inc team gets this on their platform... you'll be able to generate nicely-sized codebases in seconds. It's going to be insane.

NVIDIA AI Developer (@nvidiaaidev) 's Twitter Profile Photo

πŸ† With our new Parakeet model (parakeet-tdt-0.6b-v2), we have achieved a new standard for automatic speech recognition (ASR) with an πŸ‘€ industry-best 6.05% Word Error Rate on the @HuggingFace Open-ASR-Leaderboard. 🦜 Parakeet V2 takes performance to the next level with

πŸ† With our new Parakeet model (parakeet-tdt-0.6b-v2), we have achieved a new standard for automatic speech recognition (ASR) with an πŸ‘€ industry-best 6.05% Word Error Rate on the @HuggingFace Open-ASR-Leaderboard. 

🦜 Parakeet V2 takes performance to the next level with
Justin Johnson (@jcjohnss) 's Twitter Profile Photo

Compute increases in the last ~decade are insane. The B200 is 1000x faster than the K40 that was state-of-the-art when I started my PhD. We used to train on 1 GPU; now 10K+ is common. Combining these gives a speedup of 10 million since 2013. This explosion led to modern AI.

Compute increases in the last ~decade are insane. The  B200 is 1000x faster than the K40 that was state-of-the-art when I started my PhD.

We used to train on 1 GPU; now 10K+ is common.

Combining these gives a speedup of 10 million since 2013. This explosion led to modern AI.
Google DeepMind (@googledeepmind) 's Twitter Profile Photo

We also applied AlphaEvolve to over 50 open problems in analysis ✍️, geometry πŸ“, combinatorics βž• and number theory πŸ”‚, including the kissing number problem. πŸ”΅ In 75% of cases, it rediscovered the best solution known so far. πŸ”΅ In 20% of cases, it improved upon the previously

Google (@google) 's Twitter Profile Photo

Say goodbye to the silent era of video generation: Introducing Veo 3 β€” with native audio generation. πŸ—£οΈ Quality is up from Veo 2, and now you can add dialogue between characters, sound effects and background noise. Veo 3 is available now in the Google Gemini App for Google AI Ultra