All results are computer simulation predictions from a brain "digital twin" model, not yet validated with real human brain imaging.
No manual context-feeding required — the local Markdown wiki refreshes on a set schedule; a Slack connector is coming soon.
Local small models replace cloud AI calls — the numbers come from Google's internal testing; proxy models are currently limited to the ai.if function and still in preview
Every joint in the tendon-driven hand can sense external force, fingertip positioning is accurate to ±0.2mm, and a dedicated production line is planned for an annual capacity of 10,000 units.
Pretrained on 2 billion hours of wearable data from 5 million people, a frozen encoder with just a linear head beats supervised baselines on 34 of 35 health tasks.
First-hand impressions from four scenarios: coding, writing, knowledge work, and agents
Sol, Terra, and Luna tiers ship alongside a 4-agent parallel ultra mode; ChatGPT Work launches the same day as Codex folds into ChatGPT. Includes the full bilingual launch keynote.
Available today on desktop for all tiers, with web and mobile rolling out to remaining plans in the coming days.
One click in Settings pulls up a report — what you talked about, when you chatted most, what you kept asking it to do, all laid out. Memory has to be turned on first.
A public link in seconds — try it first, log in later to claim it. Unclaimed drops expire in about an hour.
A ClaudeDevs deep dive untangles two knobs that both seem to promise a better answer: switching models swaps in a different frozen set of weights, while dialing up effort changes how willing it is to read more files, run more tests, and double-check before handing in the result.
Features: orchestrator/sub-agent coordination, million-token context, desktop/browser/mobile control, coding and multimodal; API pricing $1.25 input / $4.25 output per million tokens
Not a feature list — three engineering tracks turned at once: reasoning lifts intelligence, an efficiency stack cuts cost, native multimodality expands input.
Three levers — system prompt, tool descriptions, middleware — push the Deep Agents suite from a typical ~0.80 to 0.84, topping out at 0.86 against Opus's 0.87.
Former OpenAI safety lead surveys nearly 30 papers: from prompt tweaks to self-modifying code, DGM pushed coding ability from 20% to 50%.
Ranks 3rd on DeepSWE, 4th overall — faster than Opus 4.8 and notably cheaper.
The first truly full-duplex voice model launches today, and it can hand off complex tasks to GPT-5.5 in real time.
Adds click-and-circle point editing plus native rendering for a dozen-plus languages; now live on Volcano Engine, rolling out to Doubao and Jimeng next
Every new explainer, the moment it's out. Unsubscribe anytime.