if 3.5 Pro doesn't get GDM back into the top 3, the discourse on here is gonna be crazy...as of today they might not even have a top 5 model for coding
๐จ Scoop: Some more internal Gemini 3.5 Pro checkpoints based on the new rev25 (revision) base appeared very recently
The internal ID of the most recent one is gemini-v4p1m-rev25-lovell, and it's still very bad at coding and hallucinates the knowledge cutoff date constantly
For reference, the old rev24 checkpoints from May were better
It's unclear whether 3.5 Pro will actually use the new base because it's still very undercooked and there isn't much time left
I attached an output from it below
Iโm excited to share that Iโll be joining OpenAI and look forward to working with the exceptional team there.
It was a difficult decision to move on. Iโm incredibly proud of the amazing team at Google and everything weโve built together. It has been an honor and a pleasure to work with all of you.
We've raised $65 billion in Series H funding at a $965 billion post-money valuation, led by @AltimeterCap, Dragoneer, @Greenoaks, and @sequoia.
This investment will help us advance our research and expand our capacity to meet growing demand for Claude.
@jake_ayes@Lucknowcapital yeah ik what mgmt said but was trying to rationalize how they arrived at that number
upon closer reading it seems like they're just looking at the actual chip costs for capacity coming online in '26? not super clear
09:57:50 [Liang Wenfeng Reportedly Speaks Internally; DeepSeek V4 to Launch in Late April]
According to multiple sources speaking to media, DeepSeek founder Liang Wenfeng recently revealed in internal communications that DeepSeek's next-generation flagship model, DeepSeek V4, will officially launch in late April. Recently, DeepSeek's web interface quietly introduced two interaction modes โ "Quick Mode" and "Expert Mode" โ supporting concise search and long-form, complex problem-solving, sparking industry speculation about the V4 model release. Related reports indicate that DeepSeek V4 will not only feature trillion-scale parameters and a million-token-class context window, but will also for the first time achieve deep optimization for domestic Chinese chips such as Huawei Ascend, marking a critical step in China's AI industry toward "de-CUDAification." Foreign media reports suggest that in anticipation of the V4 launch, domestic tech giants including Alibaba, ByteDance, and Tencent have pre-ordered hundreds of thousands of next-generation AI chips, planning to offer DeepSeek's new model via cloud services and integrate it into their own AI products. As a result, prices of new AI chip products have risen approximately 20% recently. As of press time, DeepSeek has not responded to inquiries. (Sina Tech)
Our run-rate revenue has surpassed $30 billion, up from $9 billion at the end of 2025, as demand for Claude continues to accelerate. This partnership gives us the compute to keep pace.
Read more: https://t.co/XgSjL0And7
@MetacriticCap Well, Jeff Dean is chief scientist of both GDM and Google Research, so I'd imagine that Google Research work still gets looked over by some GDM folks
Check out the Titans and ATLAS papers, also from Google Research; seems like GDM was okay with that stuff being published