Tobi Omotayo

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Tobi Omotayo

Tobi Omotayo

@tobitech

Software Engineer. Swift and Apple Platforms, Applied AI/ML. Organiser @codablemeetup

Earth 🌍 Katılım Haziran 2010
7.5K Takip Edilen548 Takipçiler
Valerii Kuznietsov
Valerii Kuznietsov@SmartFoxDev·
@thekitze I used Linear and loved it, but when building solo do you actually need task/issue tracker? Now everything could be prompted right away
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Coventry City
Coventry City@Coventry_City·
Frank wetin be dat 😮‍💨
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Tobi Omotayo
Tobi Omotayo@tobitech·
@amix3k Yup. There are a lot of complex software interactions that take way too many button clicks and screen navigation that you can get an agent to do for you by just explaining the goal in natural language.
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Amir Salihefendić
What matters here isn’t the chat interface, but that SaaS apps are adding specialized agents. That may also point to where SaaS is heading. Attio, for example, is no longer just offering a CRM interface. It’s also building a CRM agent that is far more optimized for CRM workflows than a general-purpose agent like Claude or ChatGPT. We’re doing something similar with Todoist Automations. We have a dedicated Automations Creator agent with a harness that makes it highly effective at creating and updating automations. 🤔 The real battle isn’t SaaS vs. agents, but general-purpose vs. specialized agents.
Rabi Shanker Guha@rabi_guha

notice something? Linear, PostHog, Attio - all shipped the same thing in the last few weeks. Homepage is a chat bar - not a dashboard. This is the SaaS industry quietly admitting that traditional UI doesn't work anymore. Every user is different. One homepage can't serve them all. The playbook is shifting: → expose your core APIs → connect an agentic layer → let users use software the way they want SaaS became chat. Chat will become Generative UI - the agent won't just reply in text, it will compose the interface itself. We're closer than people think.

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Tibo
Tibo@thsottiaux·
Our Codex dashboards are showing increased rate of users hitting rate limits and since we don't fully understand why I have made the cautious decision of resetting the usage limits for all plans. Enjoy. I also wanted to celebrate us finding a pocket of fraudulent accounts that we banned and have helped us regain some compute. The fight against abuse never stops, but it's important to mark the moment and make it a little shared victory.
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Logan Kilpatrick
Logan Kilpatrick@OfficialLoganK·
Quality of life updates to @GoogleAIStudio we just shipped (using Gemini): - You can now (optionally) save a temp chat in the playground - You can now turn a playground chat into an app in 2 clicks - Updated colors for playground to add some soul to it - Simplified the mobile vibe coding UI (chat panel) - Hide the edit title button for an app unless you hover on it - Simplify the input text box when vibe coding on both desktop and mobile - Make sure AI Studio persists the last part of the product you visited (build, playground, dashboard) - Set a default media resolution in the playground - Made the diff visualizations more simple in the build UI - Mobile optimize the feedback and bug UI modal - Make it easier to see feature chips in Build - Fix ordering of Search Grounding and Maps Grounding - Rename the Vibe coding Code Assistant to just Gemini - Add a STT button in the playground - Make sure Nano Banana 2 correctly shows the API key popup - Show all categories in the model drop down for the AI Studio playground without needing to scroll Many more in the works : ) big thanks to the engineering team and Gemini for partnering on these changes with me!!
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OpenAI
OpenAI@OpenAI·
Today, we closed our latest funding round with $122 billion in committed capital at an $852B post-money valuation. The fastest way to expand AI’s benefits is to put useful intelligence in people’s hands early and let access compound globally. This funding gives us resources to lead at scale. openai.com/index/accelera…
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Ryo Lu
Ryo Lu@ryolu_·
when software had a soul there was a moment around 2005 when using a Mac felt like touching something alive. the dock bounced. the genie effect swooped. exposé scattered your windows like cards on a table. none of it was strictly necessary. all of it felt like someone cared – not about metrics, but about the feeling of using a machine. software back then had texture. it had a philosophy. you could feel the person behind it. someone made a decision to make that icon beautiful, to animate that transition just so, to write that error message with a little warmth. apps had personalities. some were weird. some were over-designed in ways that would make a modern PM flinch. but they were alive. the web was the same. personal sites were genuinely personal. blogs felt like letters. forums had regulars. you knew who made what. the internet had neighborhoods, and each one felt different. nothing was optimized for scale. things were made by people who loved what they were making. somewhere along the way, we traded all of that for growth. A/B tests flattened the edges. design systems standardized the personality out. everything got faster, smoother, more consistent – and somehow less interesting. the quirks were removed because they didn't test well. the warmth got cut because it wasn't measurable. we optimized our way into a world of things that work perfectly and feel like nothing. now every app looks the same. every interface follows the same patterns. every product speaks in the same calm, frictionless voice, siloed in their own little islands. the humanity got rounded off. and then came AI agents. and the speed got inhuman. now you can generate an entire product in an afternoon. ship a feature before lunch. spin up ten variations before anyone's had their coffee. the gap from idea to code is basically zero. which sounds incredible. and it is. but there's a catch. when making things are too easy, the slop comes for free too. mediocre things don't look obviously bad – they look fine. they work. they ship. they pass review. and now there are infinite of them. the internet is filling up with software that functions but means nothing. interfaces that are correct but feel dead. products made by agents, reviewed by no one, shipped into the void. this is the thing that keeps me up at night. not that AI will replace people who care. but that it will drown them out. here's what I still believe: the best things are made by people who couldn't help themselves. someone who lost sleep over an icon. who rewrote the same line of copy twelve times. who added an animation nobody asked for because it made the thing feel right. that obsession – that's not inefficiency. that's the whole point. AI doesn't make that irrelevant. it actually makes it rarer and more valuable. taste is not a markdown skill. caring is not a parameter. the weird, specific, "soul" thing you put into something – that can't be programmed into existence. the path forward isn't to make more slop faster. it's to finally give people with real vision the tools to make the thing they always imagined but couldn't build alone. the designer who had the idea but couldn't code. the kid who saw something nobody else saw. the person who cared too much about something most people wouldn't notice. if we get this right, we don't get a faster factory. we get a renaissance. more strange, personal, opinionated software made by teams of people who care and mean it. that's still possible. but only if the people who care get the space and tools to actually express themselves – and don't just hand the wheel to the agent and walk away.
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François Chollet
François Chollet@fchollet·
At the moment, ARC-AGI-3 is the only unsaturated agentic AI benchmark. Sub-1% scores from frontier models on the private test set. If you want to be among the first to know when an AGI breakthrough happens, monitor the ARC-AGI-3 leaderboard. Any sudden score jump will mean something important has changed about AI capabilities. This happened twice before: sudden ARC-AGI progress marked the advent of AI reasoning (December 2024 jump on ARC 1) and the rise of agentic coding (late-2025 jump on ARC 2) ARC-AGI-3 will be your early warning signal.
François Chollet@fchollet

ARC-AGI-3 is out now! We've designed the benchmark to evaluate agentic intelligence via interactive reasoning environments. Beating ARC-AGI-3 will be achieved when an AI system matches or exceeds human-level action efficiency on all environments, upon seeing them for the first time. We've done extensive human testing that shows 100% of these environments are solvable by humans, upon first contact, with no prior training and no instructions. Meanwhile, all frontier AI reasoning models do under 1% at this time.

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Tobi Omotayo
Tobi Omotayo@tobitech·
@anulagarwal The app you just installed is right there in front of you. Why do you have to search it?
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anul agarwal
anul agarwal@anulagarwal·
Apple is a $3.7 trillion company yet can't fix their search I just installed Claude to try out their new update but I literally can't search it in Apple search - so broken. Pretty annoying tbh I will vibe code my own Apple Search bar using Claude
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Riley Walz
Riley Walz@rtwlz·
made my computer dramatically play BBC news music before every meeting
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Zaid
Zaid@zaidmukaddam·
I hereby confirm that GPT-5.4 sucks at frontend
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Ire Aderinokun
Ire Aderinokun@ireaderinokun·
My stay in Lagos has been extended so want to make the most of my time here and meet people building interesting things! Considering hosting an informal brunch with early-stage technical founders, no pitches, would just love to hear what you're working on. If this sounds interesting to you, let me know here: forms.gle/yDuWCGf2jXepSk… Will see interest and set something up!
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Paul Graham
Paul Graham@paulg·
It's Y Combinator's 21st birthday today.
Paul Graham tweet media
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Tobi Omotayo
Tobi Omotayo@tobitech·
@OnlyXuanwo Wish this can be automatically selected based on the request/task. Switching model is manual (no keyboard shortcut) and it’s easier to just leave it at xHigh
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Xuanwo
Xuanwo@OnlyXuanwo·
Don’t use xhigh for all tasks. > Reasoning effort selection, where higher effort is not always better and the right choice depends on task shape, not intuition developers.openai.com/api/docs/guide…
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eric zakariasson
eric zakariasson@ericzakariasson·
here's a trick to get long running agents to produce better outputs: ask it to add a feature flag in the codebase, with the condition that it should always file when its disabled and always succeed when enabled this essentially becomes red/green testing where you need the model to have a failing test, and then a passing i saw this first hand from @davidgomes when he fixed a inline diff bug with an agent that ran for 10+ hours
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Scott Tolinski - Syntax.fm
Scott Tolinski - Syntax.fm@stolinski·
Finding myself getting way more frustrated with Codex 5.3 this week for some reason.
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Sam Altman
Sam Altman@sama·
We have raised a $110 billion round of funding from Amazon, NVIDIA, and SoftBank. We are grateful for the support from our partners, and have a lot of work to do to bring you the tools you deserve.
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