i like AI and robots, my agents think im cool @ arkemis | prev @rds_official

Thanks @teknium for merging my PR! 🙏 Hermes agent now turns any image into beautiful pixel art 🔥 SNES for max detail, ARCADE for that chunky retro feel. hermes update to get the new built-in skill paired with Pollinations (free) = instant pixel art factory 🏭 @NousResearch
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dodo-reach 🦤 retweeted
Revenue: $16.3B Net loss: $80.7B IPO valuation: $2T
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Post 4 Exposing Kimi AI This is what they require each one participating in their creators campaign to do, basically trash talk Astra and Opus even tho it's not true and as you can see you pick from already existing demos and share them and I doubt any of it is actually made by kimi and if it is it's not one shot like most paid accounts say.
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lmao sorry Opus but that’s NOT how a steering wheel works 😭💀
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Feeling the AGI… you lazy bastard
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This was the exact beginning of the downfall of OpenAI and Codex. After this we only got:
-nerfed usage that evaporates in hours
-inconsistent messy branding (Chat / Work / Codex / Dots nobody can tell apart)
-dumb features nobody asked for
-constant “resets” to cover for the fact the product is broken
-models that got slower and dumber while Claude kept cooking (hate to admit but Opus 5.5 is crazy) They turned a great coding agent into a confused, rate-limited mess. Congrats.
We’re bringing Codex and ChatGPT together in one desktop app. The same powerful coding agent, now alongside ChatGPT Work, with new coding workflows, a new Chrome extension, revamped in-app browser, and faster Computer Use powered by GPT-5.6.
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man @spawn is peak vibecoding games experience rn what do you mean you can just send Savi a video of a bug, she sends it to the team and then the fix actually LANDS
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Day 10 is going to be an app icon update at this point 😅
Day 9/ We've rolled out optimizations to how we store state on disk for the chatgpt & codex desktop app that should reduce the amount stored on disk by 60%. Small ship but we've heard enough feedback about power users running out of disk space.
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this might be a dumb take for a lot of people but some veteran developers are slowly losing their moat to vibe coders. They are stuck in “this is how it’s done” mode while arguing with a machine that knows 10000× more than they do. Buddy, with all that experience you should be walking 10 meters above the ground right now. Instead you’re acting like a horse expert trying to teach a car how to gallop. Meanwhile the kid is quietly learning to drive and in a couple years you’ll just be talking to the wind.
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funny to see how everyone is now building their own version of this… ahem, Grok Bot!
sharing a recent improvement in my harness customization I built with @pidotdev this may not be common problem at first, but it appears when your Pi setup starts accumulating a lot of skills, extensions, tools, and instructions e.g. Ponytail is useful when I’m coding, but not when I’m doing research. subagents are useful (still experimenting), but unnecessary when I only want a summary this felt particularly wrong in Pi because its minimal core is one of its biggest strengths, while my configuration was slowly moving in the opposite direction I spent weeks experimenting with Hermes style (or Grok bots style atp) agent profiles. separate configuration directories, separate agents, separate session stores eventually I realized profiles were the wrong abstraction Pi already separates global resources from trusted project resources. but its SDK resource loader also lets integrations control resources and instructions for individual sessions this was useful to create a pool-and-preset architecture where: - I can keep a large global pool of skills, extensions, and packages to choose from - I can create presets with only selected items, so a “research preset” can leave behind the coding stuff - I start each session with a preset that selects the exact global skills and extensions it needs - each preset also defines its active tools and instructions - trusted project resources, settings, and AGENTS.md still load normally - credentials, models, trust, settings, and session history remain shared so i change and inspect them only in one place - each session stores a snapshot of its preset, so it can resume with the same setup even if the preset later changes or gets deleted - unused global capabilities stay in the pool instead of entering every session’s active surface the result has been quite significant for my workflow: some task-specific presets reduced the starting system prompt by more than 35% more importantly, I can keep expanding my Pi setup without making every session carry all of it Pi’s own examples already include a simpler preset extension for models, thinking levels, tools, and instructions. the SDK makes it possible to take the same idea deeper into resource loading this is only a thin layer over infrastructure Pi already exposes, which is exactly why it works so well with its minimal-core and extensible philosophy sharing here in case anyone with a growing Pi setup is starting to face the same problem and curious about your solution.
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i used GPT-Sol 6.1 and @HyperFrames_ and i think it’s pretty close for one shot!
Let me know when Opus 5.5 can do this
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prompt engineering
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Who said medieval vibecoded games??
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btw the likes to view ratio of this post is insane people really hate OpenAI rn. Anthropic is crushing, and I don’t think OAI expected this before DevDay, but as a user I feel scammed after all the hype
-nerf the usage and add a new $500 sub -done -make GPT 6.1 Sol slow as fuck -done -now make 6.1 Sol Ultrafast available only on the $500 sub
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-nerf the usage and add a new $500 sub -done -make GPT 6.1 Sol slow as fuck -done -now make 6.1 Sol Ultrafast available only on the $500 sub
Ultrafast is rolling out today for GPT-6.1 Sol in the API, Codex, and ChatGPT Work. Near-Astra intelligence at up to 8x faster speeds than Sol Standard, so you can build as fast as the ideas come.
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nice! copied
probably the most beautiful agent builder desktop app till date for mac no it’s not codex
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ok i’ll admit an html render in your agent chat that your clanker can call as a tool is actually pretty neat
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😐 not sure if they are just trolling us atp
Day 2.2/ OK this one is smaller, but we removed some friction for when building on the API. Happy building.
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I know the feeling well! I had my honeymoon phase too. What happens after that is that you simply start to understand where these agents fail. And oh boy, they still fail a lot! Around May, I left my Hermes setup behind. Maybe many of you actually started following me around that time, because of my “Hermes Desktop”. I had so much fun with it! Then, at some point, when these “agents” stop being a game and start becoming part of your life, of your work (!), what used to feel like small failures starts to weigh on you, and you want to understand more. That’s the period when I moved to @pidotdev, and I think that, sooner or later, it’s an almost “mandatory” step for anyone. Pi is the only agent out there where the honeymoon phase was actually “worse” than the value I’m getting from it now, after months of getting to know each other, me and “him.” @badlogicgames has done an incredible job, and his work on Pi is finally getting the recognition he deserves. Durable has no competition now. I feel so happy and motivated 🤗 I may do a part 4 of my Pi setup 🤔
We’re in the AI agent “honeymoon period” Many are experiencing this using Grok Bot, Instinct, Muse, or Dots for the first time It feels amazing at first - “holy sh*t it just did this thing for me!” Everyone races to tell their friends, it’s the talk of social gatherings - “dude my Instinct got me a refund and all I did was text it” You start doing more and more with it, handing it over more data so it can be even better at helping you But then something happens - it misses an important detail, it screws up something you have to fix, it just feels not as good anymore Anyone who’s been using agents since the early OpenClaw and Hermes days knows this feeling The only question is what do you do? Do you “break up” with your agent and try another one, or do you keep going with the faith that it will get better with time (it will), or do you stop using agents and submit to the permanent underclass?
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How much do you spend on AI each month? (everything included)
9% 0 i’m poor
43% <$50
22% around $100
26% $200 or + (comment)
23 votes • Final results
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OpenAI is failing me so badly that I just paid my first Anthropic bill let’s see if I end up moving everything over…
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