Sebastian Sosa

I recently created a fully #opensource SDK for autonomously organizing data in hierarchical structures. github.com/CakeCrusher/Ta… It is designed to be fully modular with the ability to have human/programmer in the loop at any stage of the process. #AI #OpenAI #MachineLearning

@XFreeze @elonmusk Tim cook ain't shit compared to elon

Elon completely stole the banquet 😂 He was already posing for someone else when Xiaomi CEO Lei Jun walked up to his idol asking for a selfie Elon instantly poses with the funniest face does the same funny expression with Apple CEO Tim Cook too Now Elon became the MAIN attraction across Chinese media and the entire world 🤣

@obsessionmovie Key and Peele with different music m.youtube.com/watch?v=esI5ef…

Be careful who you wish for. OBSESSION only in theaters May 15.

@LuizaJarovsky @JoeNunnink @harrisalterman Yeahhh this happens day to day in dev I find myself describing changes to code that I could do myself in a tenth the time

This is what happens when people use AI frequently and uncritically (don't tell me that I didn't warn you!) *Video by @JoeNunnink and @harrisalterman

@cixliv If Tekken did not lock into your opponent

This video is going viral on Instagram. The first fight ever between an Engine and Unitree robot at our new store space in SF.

@alvinfoo Damn I love this as a "video-graphic" I may appify this or someone else do it

The way you speak determines how others listen to you.

@unable0_ This is too real

san francisco in one picture

Define creativity

Should cities follow fractal geometry?

Get rekt i guess (transcribed using @WisprFlow ) haha you're welcome for the organic marketing, this strategy for monthly recaps makes for a good source of marketing, noted.

@vussyviz What I learned from graduation season is that people around me tend to know what's going on with my life better than me 🫣

congrats to the GOAT @Sebasti54919704 🥳🎊 (bad screencap ik, but better than nothing)

@vussyviz Thanks!! How'd you get this🕵️🤔 😂!?!?

"failure sets you free" - Ron Entevy Well said

wow claude knows me so well 😂

@TheAhmadOsman Fairly certain this is AI generated

Dario might be showing her Anthropic’s upcoming opensource release boys

@SakanaAILabs Hey I'd love to apply but could never commit full time, but there are some evolutionary experiments I'd love to attempt, would you guys be open to a "hacker in residence" or "embassador" or something of the sort programs. Happy to send prior work and cv if that helps.

【Sakana AI エンジニア募集：正社員＆インターン】🐟 Sakana AIは去年から手掛けてきた金融領域に加えて、防衛・製造業でも次々とプロジェクトが立ち上がっています。 また、Sakana Chat, Sakana Marlin, Sakana Fuguなどを始めとしたプロダクトも続々と生まれてきており、最先端のAI技術で産業価値 を生み出すことを経験できる場が多数存在しています。 Applied Research Engineer, Software Engineerの2職種では、これまで通り正社員採用に加えて、インターンも引き続き募集しています。 学生の方へ: サマーインターンも対応しています！ [条件] • 2ヶ月間以上・週24時間以上の勤務が可能な方 • 2028年4月までに卒業見込みの方 • 東京での勤務が可能な方 • 選考期間を考慮し、5月中の早めのエントリーをおすすめしています 最前線での開発業務に興味のあるみなさまのご応募をお待ちしていますっ👇 #applied-research-engineer" target="_blank" rel="nofollow noopener">sakana.ai/careers/#appli… 🐟

@AnandButani @SergioRocks I think not just anyone but someone who sits within your customer segment, that is not your friend (owes you nothing, and does not care about your feelings) is ideal.

@Sebasti54919704 @SergioRocks someone who's never seen your product will find the bug in 4 minutes that you missed for 4 months, just by existing differently than you do.

Many Startup Founders have a product that “almost works.” You built it with AI. You iterated quickly. You proved the idea. But when it comes to launching: You hesitate. Because you know: - It breaks when clients click "that button" - You'll get emails from upset clients - The product hasn’t been tested in real conditions So it stays in demo mode. And that’s a trap. Because a demo is not a business. A business needs a product that: - Clients can use independently - Works consistently - Holds up under real usage - Creates value that clients will pay for That’s the missing layer. Not more building. Just more reliability. If you’ve reached that point, you’ve done the hardest part. Now it’s about finishing it properly. And that’s where a Fractional CTO like myself can step in and help you succeed.

the part most engineers haven't internalized is that 'validate ideas early' isn't a phase a CTO walks into 6 months later. by the time you're hired, the founder has burned through 3 prototypes and a paid GTM, and the validation question is now 'why isn't anyone returning?' not 'should we build?' how are you handling fractional gigs where the product is technically built but never validated?

The Startup playbook changed. And most Engineers haven’t adjusted yet. A few years ago: - Founders raised money - Hired a team - Engineers built the product Today: - Founders prototype themselves - Validate ideas early - Then bring in a CTO and Tech team AI made building cheap. So the role of the Software Engineer moved. The opportunity is no longer: “join early and build everything from scratch” It’s: - step in after traction - make the system reliable - turn a prototype into a real product That requires a different skill set: - understanding the business - defining how the system should behave - owning outcomes, not just code This is what many now call the Product Engineer. That’s where the demand is shifting. I broke this down in my latest newsletter: sergiopereira.substack.com/p/ai-made-it-c…

the silent part that's most under-counted is that 'more software products being built' = more places where the v1 ships before anyone tests whether real users can actually use it. founders + agents are doing the building, the human user-side is the bottleneck nobody's automating yet. that's where the next wave of 'why isn't this converting' work lives.

There’s a lot of anxiety among Software Developers right now. AI is getting better. Code is easier to generate. Layoffs are being announced. But look at what’s actually happening silently: - More startups are being founded than ever. - More software products are being built than ever. - Business ideas are being turned into software, just not getting media attention. That doesn’t reduce demand for people who understand how to ship production-ready software. It actually increases it. Because every new product needs: - To be made reliable - To handle real clients - To evolve over time AI makes it easier to start. It does not remove the need to make things work in the real world. If anything, it creates more of that work: More systems → more complexity → more need for engineers who understand how code works in prod. The opportunity is not shrinking. It’s expanding. Just in a different direction.

@aakashgupta the part that always lands for me is that the score becomes the user. once you believe it, you optimize for the metric instead of the underlying state. happens with NPS, churn predictions, and basically every dashboard a PM ever stared at.

You check your Apple Watch in the morning. Sleep score: 62. You decide it's going to be a foggy day. And then it is. A 2014 Colorado College study suggests the score itself causes the fog. 164 people walked into a lab. Researchers hooked them up to fake EEG equipment and told them the readout would show their REM percentage from the night before. Then they fabricated a number. Half the room was told 28.7%. Half was told 16.2%. The machine wasn't measuring anything. Participants took four cognitive tests. The Paced Auditory Serial Addition Test, where you add numbers spoken at increasing speed and hold your last sum in working memory while computing the next. And the Controlled Oral Word Association Task, where you generate as many words as you can starting with a single letter under time pressure. Both are gold-standard measures of attention and executive function used in clinical neurology. The 28.7% group outperformed the 16.2% group on both. Significantly. How rested participants actually felt that morning predicted nothing. The mechanism is mindset priming an executive resource. When you believe you slept well, you allocate cognitive effort more aggressively. You don't conserve. You don't pre-disengage. Belief about the resource changes how you spend it. Two control conditions ruled out demand characteristics. Participants weren't trying harder because they thought they should. Real measurable cognitive performance shifted with the number on the readout. The Apple Watch sleep score. The Oura ring readiness number. The morning ritual of checking either one is taxing the resource you're about to need. The performance gap from a fabricated REM percentage was larger than the gap from how rested participants actually felt. The number was louder than the night.