X日报 · AI科技

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! https://t.co/U2PwriHMX5

Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents.

— Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task

— Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality

Start building with these today via the Gemini API in @GoogleAIStudio or try them out in the @GeminiApp

We just landed some big infra upgrades for the Gemini Batch API:

- p95 latency decreased by 80%
-p99 latency decreased by 68%
- batch success rate is now >99.998%
- 98% reduction in batch expirations
- added support for partial batches

great work by the team to land this!!

Announcing OpenWorker! An open-source agent that doesn't just chat with you, but delivers finished work -- like hand you a polished document, send a slack message, or update a calendar entry.

Ask it to prepare a customer brief, untangle your calendar, draft a report, or triage a Slack alert. It works across your files and everyday tools, produces the deliverable, and checks in before doing anything consequential.

OpenWorker runs on your Mac, with Windows support coming soon. It does not lock you into any one model. Bring your own API key and run it with GPT 5.6 Sol, Claude Fable, Gemini 3.6, an open weight model (like Kimi, GLM, DeepSeek, Inkling), or Ollama to keep your data local. Your data does not leave your machine except through an LLM provider and integrations that you choose.

@rohitcprasad and I are building OpenWorker because AI coworkers are an important way to get work done, and we want there to be an open, privacy-preserving, model-independent option. Check it out and let us know what you think!

Try it out: https://t.co/P0mGnI1o31 (requires your own API key)
Source code: https://t.co/NYCiTD6hSq

we had a significant security incident during evaluation of our models. we are sharing what we have learned so far. thanks to @huggingface for the partnership on this.

https://t.co/2o2VfR6PIa

OpenAI cyber-capable models compromised @huggingface production by finding and chaining multiple zero-day vulnerabilities.

Grateful to Hugging Face for partnership here. Sharing our findings to help calibrate on what models can now do, and how they can help defenders:

try the codex security plugin, for applying our models to cyberdefense:

Launching Health in ChatGPT to U.S. users.

300 million people use ChatGPT each week for health queries (and my wife and I are among those!).

You can now securely connect supported medical records so ChatGPT can understand your personal context and be more helpful to you. https://t.co/kuKumYNMWK

ChatGPT Work for using websites which require login:

stories like this should be told more

Opus 5 sets a new state-of-the-art on ARC-AGI-3, at 30%.

ARC-AGI-3 measures solving problems with no prior exposure -- the setting where scaling has historically bought the least. Impressive jump!

i want the US to win in AI both in open source and proprietary models, and i am glad to see this

I'm pleased that our 1991 distillation technique (https://t.co/pIgIKfi4Uh) was approved in @JensenHuang's inaugural tweet

I support open-source models distilling what commercial companies distilled for free from the entire internet. I published distillation for free in 1991 in Europe - this was copied in the US and in China (https://t.co/mddh8XmfAs) https://t.co/rf6ACGrCXF

Was very cool to hear about the reasons people love Sol. We're doing the promotion again, except this time for ChatGPT Work:

Tweet what you love about ChatGPT Work, claim $100 in free credits, get more work done.

First 10k get the free tokens: https://t.co/w7QrPBYkrh

As AI models are now finding vulnerabilities faster than we can fix them, our approach to securing software must be built on highly efficient and capable models.

Which brings us to our third (!) model launch of the day: Gemini 3.5 Flash Cyber ⚡🛡️

Built on top of 3.5 Flash, in CodeMender (our AI agent for code security) it delivers competitive performance at the frontier. on benchmarks like CyberGym and is optimized for finding and fixing cybersecurity vulnerabilities at scale at a lower cost.

Given the dual-use nature of this technology, we have taken an intentional approach to its deployment. The model will be available exclusively to governments and trusted partners via CodeMender soon as part of a limited-access pilot program.

To accelerate scientific discovery and support @ENERGY’s Genesis Mission, the @BerkeleyLab-led SYNAPS-I project is using SAM 3 and DINOv3 to automate image segmentation.

By pairing DINOv3’s global semantic context and fine-grained spatial localization with SAM 3’s pixel-level boundary extraction, the researchers are able to compress 3D volume labeling from a month of manual effort to ~15 minutes.

Learn more about their work: https://t.co/jBHRJPjFq5

this looks pretty good for agentic.
that it fits on a dgx spark is **chef's kiss**

The era of new model launches as big milestones will eventually come to an end -- at some point they will simply be continuously updated, with no widely publicized version number. Probably less than 2 years away

AI competence has always been very spiky, superhuman in some narrow domains and largely useless in others. The fundamental marketing trick of the AI industry is to make you believe the tallest spike is a floor.