shresh

@RhysSullivan @samlambert

you know, the way our culture decided that robot-racism is good and woke is extremely sus to me.

@aaayandev @sensho me too that's why he's my cofounder😝

@shresh @sensho damnnnn, people like him make me wana try harder and not give up lowkey 🥹

@aaayandev @sensho thats not even all his accomplishments

@aaayandev @sensho

I wonder if the YC batch has a big fun group chat they all talk in, twitter feels like that tho

@djyang1 @datacurve goated

to me it's clear that fable 5 is worse than 5.6 sol at coding, yet every benchmark except DeepSWE disagrees AFAIK.

@Americaenlv @paulg @TheSalonDon if u think andrew tate is cool, u've got other problems

@paulg @TheSalonDon You and your other YC geeks like Gary will flaunt your cash; but, you’ll never be “cool” no matter how rich you become. You’ll never become “powerful” because you’re not inspirational. You can make an app. Cool.

This is like someone who can bench press 30 pounds writing about what it takes to bench press 600.

@jxnlco @EllefsenPK can i also DM you when i get the chance

hey @EllefsenPK — can you DM me when you get a chance?

@dylan522p as a consumer im glad competition exists

Or he failed to keep it together (Anthropic, Thinky, Core Automation, etc) and bloviated so much about his tech that everyone saw it as existential and it created completion from all the hyperscalers. If he played his cards right I'd bet there'd be no Anthropic or Meta TBD or XAI

@deedydas datacurve?

Every single startup selling AI Training Data (July 2026) >50 cos sell data and RL environments to big AI labs and drive AI progress behind the scenes. They total ~$8.5B in rev and ~$100B in valuation, >75% of which are just 4 players: Scale, Surge, Mercor and Handshake.

@RhysSullivan i know u have connections w the labs but u shouldnt exploit their trust for twtr likes 🙁🙁🙁

Hearing rumors that OpenAI is developing GPT-6 and that it will be better than GPT-5.6

@baileygspell ( jk i acc agree :P )

i'm a software engineer i taught myself accounting from scratch, out of pure curiosity main thing I’ve learned: revenue is a data engineering problem long before it becomes an accounting one

@adiasg @ycombinator @aroraharshita33 congrats :)

Life update - I got into @ycombinator! It's an amazing time to build a company. YC is legendary, and I'm excited for the journey ahead. Thanks @aroraharshita33 for taking a bet on me!

@thsottiaux can u bring back the subagent model picker pls rn it defaults to the main one if that thread uses subagents🤓

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.

I’m sorry but at some point we need to do what is good for society. We’re not going to make busses slower just because the unions want that

@RhysSullivan hermes w repo access might work we have a working version of most these things from hermes, for any of the proactive things we j use cron jobs

alright i'm wanting to try background / proactive agents, looking to learn what peoples setups are like rough things on my mind of random agents i want: - i want an agent that watches a github repo like an sdk and tells me how it changes - i want an agent that whenever i get a slack message it decides whether to page me, start investigating, etc - i want an agent that every 4 hours figures out things i need to reply to / follow up on - i want an agent that watches every github commit for how those changes are doing in production - i want an agent that works as my growth agent running experiments, monitoring posthog, tweaking my landing page marketing copy etc - i want an agent that monitors all my production traffic for any anomalies these don't need to be super aggressive on responding to triggers, some form of cron is fine i've tried codex automations but something didn't really click with their implementation for me also somewhat tried hermes but same thing of just something didn't really click with the implementation eve and flue maybe fit into this category but just seem so high friction to set up for these use cases, my dream UX is just sending a prompt to an agent and getting back a proactive agent setup i do see this being one of the biggest unlocks for making life easier when working with ai but haven't found a setup i like yet

@theo @yacineMTB have u tried orchestrating w fable and implementing w 5.6 yet? we've been being doing orcherstrate w fable + 5.5 implementation (unless its ui/frontend) and it works rly well, wondering if 5.6 would need fable as an orch

@yacineMTB They aren’t creative enough

many are saying that Fable is simply Not Worth The Cost

@_kelindi the numbers dont lie

@shresh man just look at the chart

glad i can finally talk about this. i had early access to gpt 5.6 sol for about two weeks. it's better than fable for most tasks tbh but it's not touching cohere north code 3b. not even close. will be releasing my personal benchmarks soon.

@davis7 i don’t think it stays the same in 5-10 years. still could change a bunch

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