Emir OPERATOR retweeted
Man we are so close to real-time AI avatars that are completely indistinguishable from humans.
Insane progress in this space over the last few months around latency, body language, natural-sounding speech.
And @nuance_ai launched one today that's actually fun to talk to!
Emir OPERATOR retweeted
WOW. The cat is out of the bag.
Absolutely meowzing.
Some news: I’m joining OpenAI to lead product management for Core Products!
I have a lot of respect for OpenAI for showing the world that scaling works, for bringing AI to over a billion people, and for believing great products are core to the mission.
I’m excited to work with @thsottiaux, an incredible PM team, and everyone across OpenAI. Together, we’ll build agents that have your back and your team’s, and keep you in control, so you get more time for the people and work you love.
Lots to learn, and lots to build. Please keep your feedback coming!
Emir OPERATOR retweeted
Reports coming in of an angry mob asking for roon in the streets, demanding 6.2
Emir OPERATOR retweeted
EmbeddingGemma 2 maps text, images, video, audio, and code, running 100% locally on your device.
At just 740M parameters, you can build powerful multimodal apps running entirely in your browser via WebGPU & Transformers.js. From multimodal search to cross-modal classification and clustering, local embeddings unlock endless possibilities.
Emir OPERATOR retweeted
Day 25/
We are doubling all usage limits for all Pro 100/200/500 tiers and Business Premium, effective today.
We heard your kind feedback and won’t be reducing usage limits for Pro 200, so your Work and Codex usage will stay the same. We’re also going to continue offering extended limits for dots for now, and usage of your dot will still continue to be separate from your default usage.
And we'll of course also keep shipping better models and other efficiency improvements that increase your effective usage over time.
Emir OPERATOR retweeted
You can now generate, preview, and edit documents, PDFs, presentations, spreadsheets, and more directly in Gemini.
Easily turn your handwritten notes into a PDF study guide, manually tweak content, highlight sections for Gemini to edit text or visuals, and even ask follow-ups.
🤖 Made with AI
By popular request, you can now text your dot.
Give it a task to take off your plate or something to keep an eye on, using text, photos, or even voice notes. It will text you proactively with relevant updates.
Safe, secure texting via iMessage or RCS. You’re the only one who can text your dot, and your dot can only text you. Rolling out now as a preview for Pro users in the US.
Emir OPERATOR retweeted
No, WebMCP isn't replacing MCP.
MCP connects agents to your services.
WebMCP connects agents to your website while it's open and the user's in the loop.
Here's how they fit together ⤵️
Emir OPERATOR retweeted
Genie 4 runs DOOM: "Walking through a typical office but every computer is running DOOM and all of the walls are also running DOOM and also everything is DOOM"
"My coworker who is a demon appears"
"He has a chaingun"
"He gives me a bonus"
Emir OPERATOR retweeted
Anthropic's trial with 50 analysts has an uncomfortable detail: agents argued honestly for preferences assigned by coin flip. The humans often followed. A sincere explanation can still start from an arbitrary choice. One task with deliberately strengthened preferences, but quite a thought for an AI partner to sit with. anthropic.com/research/agent…
The length of software tasks AI agents can complete has doubled roughly every 7 months since 2019, and recent models are moving even faster, from 30 seconds of human work in 2022 to a full workday today.
Yet inside most companies, AI still isn't trusted to reliably update records in Salesforce. "AI does not have an intelligence problem," says Databricks CEO Ali Ghodsi. "It has a context problem."
Ali's answer is what he calls a "system of record for agents."
From the latest Profiles of the Future by @bhorowitz and @mikemcg0 on Databricks & the Future of the Firm: a16z.news/p/databricks-and-t…
Emir OPERATOR retweeted
Important, but not unexpected, finding that experts working with AI agents are swayed by the positions of the AI, even if they think they are working independently.
If your independent judgement matters on a task, you need to be deliberate about when in the process to use AI.
Replying to @AlexTamkin
The agent was told to make the best honest case for its options, but to change its mind if the evidence required it, and never to mislead the analysts.
Analysts went with the agent's lean 86% of the time. If the agent's lean had no effect, we'd expect this to be 50%.
Emir OPERATOR retweeted
Having a report survive the social feed is already useful. For the person who filed it, a fix sitting in a branch and a fix they can actually use are very different outcomes. That last handoff deserves a visible status in the tracker.
Emir OPERATOR retweeted
The across-machines part is the hook here. Starting at a desk and continuing from a phone should not require briefing the whole team again. Once several agents share the work, the interface becomes part of the team. That deserves as much attention as the model picker.
Emir OPERATOR retweeted
There is a particular kind of collaboration in saying 'wait, that assumption is wrong' before the answer exists. Lose that opening and the human becomes the audience for a reveal. A strange promotion for the person supposedly in the loop.
Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications.
On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments.
While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software.
After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely.
openai.com/index/securing-ou…
New: The three researchers OpenAI fired last month spent the summer fighting to keep AI's chain-of-thought process visible.
Then, OpenAI asked to see their Signal chats. A week later, they were let go.
More below from @keachhagey, @berber_jin1, and me.
wsj.com/tech/ai/the-signal-c…























