ShubhaM

1/ I’m open sourcing Term Man today 🚀 A simple multi-terminal desktop app I built for my own workflow: running coding agents and shells across projects without making my terminal setup feel heavy. Repo: github.com/dshubham771/te…

@thsottiaux I still haven't received any resets

@thsottiaux I have not gotten any resets, is there a setting to enable so that i receive one? @thsottiaux

To celebrate the launch of GPT-5.6 Sol, we will reset the rate limits again (twice) across ChatGPT Work and Codex over the next 24 hours. We want you to have the time to truly try ambitious tasks and get the hang of it. Happy exploring!

Hello beautiful people! We have reset usage limits across Codex and ChatGPT Work. And another one will come later in the day. Rejoice. Now that I have your attention, a quick update on ChatGPT Work, Codex and all the updates we shared yesterday. We’ve spent the last 24 hours reading feedback, looking at usage patterns, and talking with many of you. The short version is that there is a *lot* of excitement for GPT 5.6 Sol, ChatGPT Work on mobile & web, but also that we didn't get everything quite right. - We made it too easy to use the highest-compute settings without making the impact on usage limits sufficiently clear. - We reorganized the desktop app in one bold move, making familiar things like chats and projects harder to find. - Our launch framing was focused on ChatGPT Work and to some of our Codex fans it made it feel like Codex was going away over time. Absolutely not our intention, we love Codex and it is here to stay. - And we introduced regressions for some existing multi-agent workflows, alongside a collection of rough edges in plugins and other parts of the experience. We’re landing a first set of improvements today. We’re resetting usage twice so people can keep experimenting, changing defaults and the model picker so they don’t push people toward unnecessarily expensive settings, fixing several plugin submission issues, improving how we represent Codex in the product, and cleaning up some of the most immediate desktop problems. A larger set of improvements will land next week. We’re bringing chats and projects back into the sidebar in a more familiar and customizable way, making usage and reset timing much more visible, clarifying when to use ChatGPT Work and when to use Codex, and addressing the many other smaller pieces of great feedback we've had. The ambition behind this launch hasn’t changed. We think bringing ChatGPT and Codex together into a workspace where people and agents can collaborate is a very important step forward. But an ambitious direction doesn’t excuse avoidable confusion or regressions in the first version. Please keep the feedback coming. We’re moving quickly, and you should see the experience already get better with a few updates today; and substantially better again next week.

Is it just me or anyone else is observing that weekly quota is depleting faster with gpt 5.6 terra (not even sol) than with gpt 5.5? This is when gpt 5.6 terra is actually cheaper and more token efficient. Something's wrong :/

GPT 5.6 sol now available for plus members.

Agentic AI adoption is on fire at @Uber, and it's changing the way we build, not just in engineering, but across the entire company. Today, 99% of our engineers use AI tools. More than 70% of pull requests are attributed to local or cloud agents. And our engineers have built 2,500+ agent skills across the software development lifecycle. Those numbers are exciting, but they led us to a much bigger question: How do we bring agentic AI beyond engineering? Finance. Legal. Operations. Marketing. Customer Support. HR. Procurement. These functions run on complex workflows that are often manual, highly nuanced, and spread across dozens of systems. You can't automate them effectively by looking at process diagrams or documentation. You have to understand how the work actually gets done. So we created something called Agentic Pods. The idea is simple. We handpicked ~30 of our most AI-proficient engineers (people with deep knowledge of Uber's systems) and paired each of them with a domain expert from a business function. Then we gave every pod just two weeks. • Days 1 – 2: Shadow the expert. Observe every step. Document workflows. Ask questions. Build intuition. • Day 3: Prioritize opportunities based on scale, repetition, business impact, and data availability. • Days 4 – 5: Build a working agent alongside the person doing the job. • Days 6 – 9: Validate with several others performing the same work. Does it generalize? Does it actually make their job better? • Day 10: Ship. In just the past two months, we've run 16 Agentic Pods across 16 different business functions. • Capital allocation across 150 cities: 15 hours → 30 minutes. • Financial pacing reports: 2 days → 10 minutes. • Marketing web quality assurance: 2 weeks → 50 minutes. • Support workflow creation: 9,000 manual workflows → self-service automation. The productivity gains are impressive, but what surprised us most wasn't the speed. • It was how quickly engineers embedded in unfamiliar domains uncovered opportunities that had been hiding in plain sight. • The biggest wins rarely come from automating one task. They come from rethinking an entire workflow. Once you redesign the workflow around AI, you often eliminate handoffs, remove unnecessary approvals, replace legacy tooling, reduce vendor spend, and dramatically accelerate decision-making. • The workflow becomes the unit of automation - not the individual task. • The most impactful agent skills cut across teams, orgs, functions, tools, and systems. The biggest lesson? The best AI opportunities are rarely visible from the outside. You discover them by sitting next to the people doing the work, understanding every friction point, and building with them, not for them. We're now forming a dedicated team to scale this further and go deeper. They'll deeply understand the work, redesign it from the ground up, and use AI to fundamentally change how the business operates. It's exciting times!

Today, the OpenAI product and engineering team is humming, there is so much to coordinate and keep running across the release of GPT 5.6 Sol/Terra/Luna, ChatGPT Work, the new ChatGPT desktop app, hosted sites and a million other things... together with the new ChatGPT Voice just launched yesterday. We will not get it all right, give us feedback and we will iterate quickly. Thank you for being an amazing community.

GPT-5.6 comes in three model tiers. → Sol handles long-horizon coding and agentic work that demands planning, tool use, and follow-through. → Terra balances performance and cost for everyday work. → Luna brings speed to well-defined, high-volume work. Across knowledge-work evaluations, GPT-5.6 Terra surpasses GPT-5.5 at lower cost, while GPT-5.6 Luna nearly matches GPT-5.5’s peak performance at well under half the estimated API cost. developers.openai.com/api/docs/guide…

I genuinely wish @GoogleDeepMind catches up pretty fast! If AI goes rouge someday, I would only trust google to fix it.

@RampCapitalLLC What’s Threads?

NEO’s Hands An API to the Physical World

Learn more: 1x.tech/discover/neos-…

GPT-5.6 Sol sets a new SOTA on ARC-AGI-3: 7.8% Sol is the first verified frontier model to ever beat an ARC-AGI-3 game It is the best model at orienting in a situation it's never encountered

I predict grok will have a fable 5 level model by next quarter Lets see 🤞🏻 @elonmusk @SpaceXAI

I think grok 4.5’s launch cooled down the GPT 5.6’s launch hype What do you think? 🤔

WTF! This at the price of 2$ in and 6$ out This is crazyy!!!🤩🚀

xAI is only 3 years old. Grok 4.5 is already beating AI labs that have had years of a head start. Elon winning the AI race suddenly doesn’t sound that crazy. It’s a laugh on the face of people who said elon lost the ai race!! Never bet against elon!! Never!!!

1/ I’m open sourcing Term Man today 🚀 A simple multi-terminal desktop app I built for my own workflow: running coding agents and shells across projects without making my terminal setup feel heavy. Repo: github.com/dshubham771/te…

SpaceXAi overtaking Google to become the third place lab is such a hilarious and sad unforced error from Google Cannot wait to find out in 5-10 years what actually went so horribly wrong My current ranking: 1) OpenAI & Anthropic (tie) 3) SpaceXAi 4) zAI 5) Google

Rate of improvement is 🚀🚀