The art of what's possible when AI, robotics and technology meet wearable design! 🤯👟

Imagine where this could lead for mobility and accessibility.

Early Neuralink speech restoration data:

We are enabling speech to text and voice at conversational rates in participants with ALS. One participant achieved 75 WPM at 5.8% WER on a 125k-word vocabulary in their first week.

Come build your next app or agent with us in the API.

Eligible ChatGPT Pro and Business subscribers can claim up to $500 per month in API credits.

Get started: chatgpt.com/settings/billi…

average larpmaxxer date

made with higgsfield

Is AI Really a Black Box?

A lot of open questions around

singularityhub.com/2026/10/26/is-…

@bimedotcom @enilev @Analytics_699 @CurieuxExplorer @EstelaMandela @FrRonconii @jblefevre60 @Nicochan33 @mikeflache @Fabriziobustama @EvanKirstel @ThEiLe0 @sallyeaves @TerenceLeungSF @AkwyZ @efipm

Q3 is in the books! We’re now on a half-trillion annual revenue run rate, with Alphabet revenues growing at 25%.

- Our AI investments are driving overall Search query growth, including commercial queries - our YoY query growth rate is the highest it’s been in the last five evenue grew 103%, powered by extraordinary demand for our AI infrastructure and AI solutions. Our 1P model APIs now process nearly 32B tokens/min (up 40% QoQ).
- Strong momentum in model progress with Argon and Carbon leading the frontier, and Genie 4 our most advanced new world model yet.

Thanks to our partners and employees around the world. More to share on the call soon!

Mobile game ads never look like the real game.

Now you can turn a viral ad into a full mobile game.

> Drop a gameplay video, a screenshot or a prompt
> Build a mobile game with viral mechanics
> Turn it into a playable ad on the Enterprise plan

Higgsfield Playable is live now.

Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence.

> 6 model instances, across text, audio, vision, and omni modalities, gendels.
> 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window.
> 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding
> 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages.
> 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language.
> 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input.
> fine-tune on 1 GPU.
> a new tri-hybrid architecture
> architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs.
> 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters.
> 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒

Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device.

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Add 42 video editing tools to Claude Code, Cursor, and MCP clients with npx ffmpeg-skill.

github.com/kajisho5/ffmpe…

Every video is now open-source.

With Tesseract, Claude and ChatGPT can use any video as a reference to create a new, editable project around your idea. Paste a link or upload a video, then tell your agent what you’d do differently.

Keep refining with your agent, or take your cts or Premiere Pro.

To prove our point, we remixed a few classics.

Google’s Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5, and second only to Claude Opus 5.5 on the Artificial Analysis Coding Agent Index

Gemini 4 Carbon scores 59 on Intelligence Index v5, driven by leading performance in complex reasoning, ic tasks. It also has large gains in coding and knowledge work, particularly when compared to other Gemini models, but it is not leading in all these areas.

As with launch of Gemini 4 Argon, Gemini 4 Carbon is being rolled out to selected users and is not yet publicly available. Google is offering a 50% launch discount, with no confirmed end date. All our charts and figures use standard pricing for both Gemini 4 Carbon and Argon.

Key results for Gemini 4 Carbon with high reasoning:
➤ Gemini 4 Carbon leads the Intelligence Index v5, with the #1 score in 4 of the 9 Index evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA. Carbon makes substantial gains elsewhere but is not leading in coding and knowledge work

➤ Behind only Claude Opus 5.5 on coding agents: With Antigravity CLI, Gemini 4 Carbon (high) scores 59 only 3 points behind Claude Code with Claude Opus 5.5 (max, 62) on the Artificial Analysis Coding Agent Index. Carbon ranks second on both Terminal-Bench 4.0 (64%) and FrontierCode v1.1 (51%), behind Claude Opus 5.5 (max) at 56%. Google has historically underperformed in this area and so this improvement stands out

➤ Improved agentic knowledge work, but not yet leading: On AA-Briefcase, Gemini 4 Carbon (high) scores 1609 Elo, a 126-point improvement over Gemini 4 Argon (high, 1483), but still behind models including Grok 4.7 (xhigh, 1638), Muse Wonder (max, 1659) and Kimi K3.1 Pro (1678). The largest gain comes from Presentation, up 293 Elo to 1598, alongside a 120-point improvement in Analytical Quality to 1671

➤ Lower Cost per Task than Claude Opus 5.5 for comparable overall intelligence: Gemini 4 Carbon costs $7.76 per Intelligence Index task, ~23% less than Claude Opus 5.5 (max, $10.04) but ~1.2x GPT-6 Astra (max, $6.25). It uses 123k output tokens per task, 29% fewer than Claude Opus 5.5 (max, 173k). At the same $4/$20 standard pricing, its Cost per Task is in line with Gemini 4 Argon ($7.68), while scoring 9 points higher on the Intelligence Index

➤ Leading AA-Omniscience v1.1 score, with low hallucination: Gemini 4 Carbon scores 54 on our recently updated AA-Omniscience v1.1, 6 points ahead of Claude Opus 5.5 (max, 48) and 8 points ahead of Gemini 4 Argon (46). Accuracy (% correct) rises 10 points over Argon to 58%, while its hallucination rate rises from 4% to 11%. This is still the second lowest of any model, behind only Argon, compared with 50% for both Claude Opus 5.5 (max) and GPT-6 Astra (max)

Key model details:
➤ Context Window: 1M tokens
➤ Multimodality: Text, image, video, and speech input, with text output
➤ Pricing: $4/$20 per 1M input/output tokens, the same as Gemini 4 Argon’s standard pricing, with a 50% discount. Cached input tokens receive a 95% discount ($0.20 per 1M)

Congratulations to the @GoogleDeepMind team!

Text-to-speech gets you close. But close isn’t how you’d say it.

So say it yourself, once. HeyGen Voice STS carries the whole performance over to your avatar, down to every pause, emphasis, and whisper.

Test it here: platform.heygen.com/speech-to-spee…

Introducing VEED Dubbing.

Our NEW revolutionary video dubbing model API.

• Preserves emotions + accents
• Highly accurate translation + lip-sync
• Supports multiple speakers + side angles

Comment "dub" and we'll DM you access.

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 your dot can only text you. Rolling out now as a preview for Pro users in the US.

Rolling out new voice mode for all Pro and Max users, on web and Mac apps. Allows you to basically talk to your computer to get parallel work streams done.

Your OCR says it’s done—but did it get everything right? 🤔 In high-stakes workflows, even a small error can be costly.

🚀 Meet the MiniCPM-OCR suite: an open-source solution to parse fast and guard the results.

Two new models:
🔹 MiniCPM-OCR 1.0 — SOTA OCR performance and act, accurate, and fast.
🔹 MiniCPM-OCR Jev — A 2B decision model that helps assess parsing accuracy, with performance approaching that of Qwen3.5-397B-A17B on JevOCRBench.

⚡ What’s new?
Small model, SOTA results: MiniCPM-OCR 1.0 scores 93.68 on Real5-OmniDocBench and 54.7 on OCRBench v2.

A sharp goalkeeper 🛡️: MiniCPM-OCR Jev is model-agnostic, checking text, formulas, and tables from different OCR parsers. It achieves 93.6 on JevOCRBench, outperforming JEV-35B-A3B (90.1) and approaching Qwen3.5-397B-A17B (93.8).

Up to 128 pages per minute 🤯: With DSpark, MiniCPM-OCR runs at 1.49× the speed of PaddleOCR-VL-1.6 and 3.62× that of MinerU2.5 Pro. The SDK’s concurrency optimizations further boost throughput to as much as 128 pages per minute.

Deploy where you work: Day-0 support for Arm, Houmo AI, Intel, and NVIDIA, plus 10 more chip vendors through FlagOS.

Ready for your stack: vLLM, SGLang, llama.cpp, and Ollama, with quantized models, fine-tuning support, and Agent Skills.

🔗 GitHub: github.com/OpenBMB/MiniCP…
🤗 Hugging Face:
MiniCPM-OCR 1.0：huggingface.co/openbmb/MiniCP…
MiniCPM-OCR Jev：huggingface.co/openbmb/MiniCP…
👉 Try the Demo：platform.modelbest.ai/console/playgr…
Use the API：platform.modelbest.ai/console/docs/m…

Introducing Gemini 4 Carbon, our latest frontier model.

Carbon delivers improved performance across domains — ranking #1 on v5.0 of the @ArtificialAnlys Intelligence Index and sets a new state-of-the-art in cybersecurity and long-horizon capabilities.

It’s rolling out starting nders through our Fairwind Program, with expanded access coming soon 🧵

We brought Touch to the Mac!

From the all-new iPad mini to the 14-inch MacBook Pro and iMac... and now MacBook Pro with PROLED XDR Display and Touch, creators have new tools to do their best work yet.

Full Mario 64 in Mixed Reality! Running in real 3D (no stereoscopic crap) natively at 90FPS and also running on my desk! 😋
Again, Opus 5.5 + PICO CLI combo made it quite straightforward.

Such a bliss to play an oldie at 90 FPS in 3D.

Disclaimer: I own an original physical project is not associated with Nintendo or PICO.

Meet NVIDIA Nemotron 3.5 Transcribe 🎙️

An open-weight, promptable 30B MoE model with ~4B active parameters that brings transcription in 40 languages, speaker attribution, translation, contextual prompting and audio understanding into one checkpoint.

Watch it keep track of who ’s talking at once.

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I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model.

Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys 9. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.

We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards.

As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!