We're offering grants of up to $50,000 in Claude usage credits to researchers accelerating cures for rare diseases.
This is our first focused call within AI for Science, our program supporting scientists using Claude to speed up discovery.
anthropic.com/news/rare-dise…
We have started our most ambitious pre-training run yet, for Gemini 4, and are excited by the progress : )
Say hello to Gemini 3.6 Flash, designed to be higher intelligence, more token efficient, and with a new lower price, based directly on developer feedback!
3.6 Flash continues our progress towards models that are deeply usable in real world scenarios!
We heard you loud and clear: you want a way to organize your notebooks. So...
Meet Collections!
A brand new tab, Collections operate like photo albums or playlists: zero rigid folder structures with maximum flexibility. Add notebooks to as many collections as you want, or skip them and stick with the main "My Notebooks" tab.
Collections are rolling out starting today to all users. Let us know what you think! (you always do 😉)
I am very excited about Gemini 3.5 Flash-Lite, our smallest and fastest Gemini model!
- it is more intelligent in many cases than Gemini 3
- same cost and smarter than Gemini 2.5 Flash (which is approaching end of life)
- also out paces 3.1 Flash-Lite on most use cases!
3.5 Flash-Lite runs at nearly 350 output tokens per second which feels so smooth on many latency sensitive UI experiences and is now also a viable option to drive agent harnesses!
A nice aspect of our new Gemini 3.6 Flash model is that it is much more token efficient than our 3.5 Flash model. Here's a side-by-side demonstration of that.
Nice work by everyone who worked on this model and release!
引用 Google DeepMind @GoogleDeepMindWe’re rolling out three new models to make AI agents faster, smarter, and cheaper at scale: 🔵 Gemini 3.6 Flash: It uses fewer tokens than 3.5 Flash to deliver higher quality work at the exact same cost. 🔵 Gemini 3.5 Flash-Lite: A fast, cost-effective option for everyday tasks like processing documents and agentic search. 🔵 Gemini 3.5 Flash Cyber: A cybersecurity model built to find and patch critical software vulnerabilities.查看被引原帖 ↗
Thanks everyone for all the kind words and feedback. Super happy that you are enjoying Build a Reasoning Model (From Scratch)!
Unfortunately, there's small typo in listing 6.5 on page 198 (see video below).
The line "torch.manual_seed(0)"
should be "torch.manual_seed(5)"
This correction is needed to reproduce the generated response in listing 6.5 and the corresponding log-probability outputs later in Chapter 6. If you use 0, the generated response and the results that follow will be different.
This will be fixed in the next printing. I am sorry about the oversight, and I hope this note saves you some debugging time.
This model is much more efficient and spend a lot less tokens to deliver better performance!
Incredibly proud of the Sakana AI team. We have developed an orchestration model right here out of Japan that achieves state-of-the-art performance on real-world cybersecurity benchmarks! 🎌
引用 Sakana AI @SakanaAILabsIntroducing Fugu-Cyber: an update to our Fugu orchestration model. It achieves state-of-the-art performance on real-world security benchmarks, matching cyber-focused frontier models like GPT-5.5-Cyber and Mythos Preview. sakana.ai/fugu-cyber-release 🐡查看被引原帖 ↗
Props to OpenAI for publishing this post on some safety and alignment issues observed in internal deployments - there are many counter-incentives to publishing stuff like this, but by making it public we all get better info about safety at the frontier.
openai.com/index/safety-alig…
This video from
@jackconte
is absolutely amazing and it’s a shame that it hasn’t been seen by millions yet:
youtube.com/17_HcR95YBc
writing this up for next issue of Import AI
New episode drop: Thrilled to welcome Not Diamond co-founder & CEO
@tomas_hk
to YAAP, hosted by
@YuvalinTheDeep
, to unpack why the old model routing playbook breaks.
🎙️Listen here:
ai21.com/yaap/the-model-rout…





