Sajid

Grok Voice Think Fast 2.0 ranks #1 in VulcanBench’s new head-to-head against GPT Realtime Across 200 held-out questions tested in both text and spoken audio, Grok delivered the stronger overall performance across the benchmark’s key measures “Voice tax” measures how much accuracy a model loses when the same question is spoken instead of typed Grok understood both text and audio more accurately, lost less intelligence when switching to voice, and completed each turn nearly 2× faster GPT Realtime started speaking sooner But Grok finished sooner and got more answers right Voice AI is not merely about sounding human. It needs to listen, reason and solve the task correctly in real time Grok Voice Think Fast 2.0 came out on top

@Ultima_Lumina @elonmusk 💯

SuperGrok Plus should include X Premium sub 🖤 @elonmusk

To celebrate a week of efficiency and let you run 100'000 Luna threads this weekend... that's right... wait for it... I have reset usage limits for Codex and ChatGPT Work. Enjoy.

@XFreeze Very much needed one.

SpaceXAI just launched SuperGrok Plus - a new $100/month mid-tier plan for serious Grok power users who need more capacity without jumping to the $300 SuperGrok Heavy tier It includes everything in SuperGrok, plus: • Significantly higher usage across Chat, Imagine, Voice and Build • Lightning-fast replies • Priority access during peak times • Create and deploy apps from a single prompt • Early access to new features SuperGrok Plus now sits between the standard SuperGrok plan and SuperGrok Heavy, giving power users a more affordable path to higher limits and faster access

major price cuts today: *80% drop for GPT-5.6 Luna, now $0.20 per million input tokens and $1.20 per million output *20% drop for GPT-5.6 Terra, to $2/$12 *GPT-5.6 Sol gets Fast mode in the API, up to 2.5x the speed for 2x the price, same intelligence

@SamuelZengML 0.6B Wow And OpenSource 👌

A 0.6B speech model should not sound this capable. Today, we’re open-sourcing Audio8-TTS Preview: 11 languages. Zero-shot voice cloning. A bundled 44.1 kHz codec. Apache 2.0. Small model. Serious speech. Thread ↓

And Grok 4.6 comes out in a week

Announcing Grok Voice Think Fast 2.0, our next-generation voice model with improved intelligence, transcription accuracy, and conversational capabilities. x.ai/news/grok-voic…

@SpaceXAI Amazing pricing. Default voice to grok voice 2.0.

@gdb the Lisan al-Gaib of inference throughput has spoken

the tokens must flow

@thsottiaux get that shipped to anthropic hq too 😬 CC : @ClaudeDevs

One day we created the reset button and the rest is history.

@thsottiaux Opened X to check if you’d tweeted about the limits… without knowing you had. I knew it. You’re the reason we’re back at 100%, Tibo.

Hello people of Sol! I've reset usage limits for all ChatGPT Work and Codex users. Together with that, a quick update on GPT-5.6 Sol usage limits. Over the past few weeks, many of you have told us that Sol was using your Codex limits faster than expected. To be clear, we have not reduced usage on any subscription plans. We’ve been digging into what was happening and have landed several improvements. As a result, we expect your usage to last around 18% longer during typical use of Sol. Some of you should already see significantly larger improvements from today. Tomorrow, we’ll also restore the five-hour limit that we temporarily paused while investigating. Here’s what we found: - GPT-5.6 Sol is much more willing to work for longer, make additional tool calls, and coordinate complex workflows across tools and subagents. That makes it better at solving hard problems, but some tasks were using far more than we intended. - Sol also works harder at the same reasoning effort than previous models. High on Sol can use more tokens than High did on GPT-5.5. - Programmatic tool calling, also referred to as code mode, gives Sol much more flexibility to run tool calls in parallel or continue working while waiting. But it also led to more responses per turn, more cached input tokens, and higher usage than expected. - This was particularly noticeable when Sol was waiting for tool calls to finish or running many web searches. We’ve improved how we handle both cases and are continuing to make code mode more efficient. - The impact was also very uneven. The median user actually found Sol quite token efficient, while some power users working on harder tasks saw their usage drain much faster. We were very focused on average and median usage before launch and missed some cases where the long tail could use significantly more usage. Sol is a significant step forward in what Codex can do, but capability and efficiency do not always improve at the same pace, and some issues only become clear once people are using the model at real-world scale. We should have recognized this sooner and been more upfront about it. You keep pushing the frontier and we’ll keep improving efficiency and sharing updates as we go.

@testingcatalog testing time 🫢

Fish Audio has released S2.1 Pro, its latest production voice model that is built for real-time conversational AI. S2.1 Pro adds 👀 > Multi-speaker dialogue. > Voice cloning from short reference samples. > MCP plus agent-skill support for teams wiring speech into voice agents and long-form audio.

We quietly released the open-source Codex Security CLI, but Hacker News found it before we had a chance to share it here... You can now use it to scan repositories, track findings across runs, verify fixes, and add security checks to CI/CD. This is an early release, and we're listening to your feedback as we continue improving it.

@benln Does this also means people from India can't purchase subscription wid USD? 🤔

Big launch today for Cursor users in India:

Today we're launching Cursor Start, a new ₹649/month plan for developers in India. Start includes generous access to Grok 4.5 and Composer, so you can plan, build, test, and ship with agents every day.

Back at the laptop. The usage limits have been reset for all paid users of Codex and ChatGPT Work. Weeeeeeeee. It's a good day!

@Mechramc @karpathy @rasbt grabbed one!

At 38, I had 17 years of program management under my belt. PgMP, PMP, enterprise SaaS. Zero machine learning experience. At that time, as everyone does, I started doing some Coursera courses but everything was vague. There were two things that helped - @karpathy and @rasbt. Once the concepts were broken down - I could build, break, and eventually come up with 100s of ideas that failed. I decided to pivot into AI research. Not a side hobby. A real pivot. I spend to this day at least a few hours every week reading latest papers and trying to break the implementation of the paper. Even now, I am participating in the ICLR huggingface paper reproduction challenge. Two years later at 40: 6 papers on arXiv, an NVIDIA Inception membership, founded Murai Labs, and an open source Tamil language model that is coming out soon. The book grew directly out of what I needed to build TamilLM from scratch. If it helped me learn how to ship a real model with no ML background, it can help you too. It is such a beautiful coincidence that TamilLM finished pretraining and Under The Hood launched on Amazon on the same day - it was not planned. (Kadavul irukaan Kumaru moment) 100+ copies sold on Leanpub. #1 bestseller there. Now available worldwide on Amazon. 8 free chapters at murailabs.com/under-the-hood (Chapters 4, 5, 8, 13, 18, 23, 27, 32). India Kindle: amazon.in/dp/B0H9FYVK3W US Kindle: amazon.com/dp/B0H9FYVK3W US Paperback: amazon.com/dp/B0H9FWPCDV Leanpub: leanpub.com/under-the-hood I started late. But not done yet - I am glad I started. 🙏

Moonshot delivered: model weights and technical report of K3 are now live!