@RayFernando1337
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12y ex-Apple • Building live with AI • Current Mission: 10% Body Fat
Bay Area 🤙🏽 Hawaii
Joined August 2023
- Tweets25.9K
- Following5.7K
- Followers38.8K
- Likes76.1K
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I was part of a secret project at Apple that revolutionized the way we update our devices, and it all started with a prototype that had no recovery port.
I was sitting in my office, when suddenly, I got pulled into this top-secret project. I mean, it was so hush-hush that I had to sign all these NDAs, and basically kiss my holidays and free time goodbye until we finished it.
So, I show up to the meeting, and the manager confirms I signed the NDAs. Then, he pulls off this black cloth, and boom! There's the prototype, right in front of me. My eyes were so big, and my heart was pounding like crazy. I had a million questions running through my mind.
Turns out, I was going to be the one making sure the Apple Watch could update without any problems.
But get this - when I asked about plugging it into a computer to recover it if something went wrong, the manager dropped a bombshell on me. There was no port! I was like, "HOLY CRAP! What did I just sign up for??" And then, he just walked away and told me to figure it out. Can you believe that?
I ended up spending the next several years working with tons of teams across Apple, trying to come up with a solution.
It was intense, but we managed to create this incredible update system that would totally change the game not only for the Apple Watch but for all future systems as well.
Looking back, it was one of the craziest and most challenging things I've ever done.
It taught me a lot about what I'm capable of and how important it is to have a great team by your side.
It also taught me how important developing relationships with people are. Always have people’s back no matter what and be a great human being. It returns dividends for life.
Stay Hungry. Stay Foolish.
Ray Fernando retweeted
Many are surprised to hear that Factory is the first and only on-prem Software AI product that exists today. One with the ability for the control plane to be hosted in the customers' VPC or on-prem environment.
These are the real challenges to AI adoption in the enterprise. We are proud to support a best-in-class experience for customers' to own their intelligence while deploying AI at scale.
Chris is a huge inspiration for my channel. His vlog style videos are wholesome and helpful for building apps. I’ve learned a lot from him and encourage you to check it out.
It is just a one time fee of $5 with infinite value for the rest of your life. Made with love and craft for my friends who might be heard of hearing or want to see text on screen. rfer.me/sayray
Ray Fernando retweeted
ok my fingers are tired from DMs. go wild!!
downloads.bitrig.com/bitrig-…
Ray Fernando retweeted
When you have a team of iOS developers impatient for Xcode 27.1 beta to drop and armed with Astra and Fable, this is what happens...
Ray Fernando retweeted
Jev explained in under 10 min: what it is, how parallel constrained decoding works, when to use it, and when not to.
Shoutout to @NielsRogge + @gregpr07 for the great diagram + demo used in the educational video.
For anyone curious how Jev works, I made a visual explanation using @claudeai :)
This is based on the Qwen2.5-RLCD model which @harshagundal released on @huggingface
The idea is to replace autoregressive LLM generation by a single Transformer decoder (of a pre-trained LLM), which processes the context + JSON schema only once. The keys and values of those tokens are cached.
Next, for each field of the JSON schema, we:
1. pass its field suffix tokens through the Transformer decoder again (reusing the KV-cache)
2. obtain a final hidden state, which we pass through the language modeling head
3. we obtain scores, also called logits, for all tokens in the vocab of the LLM
4. we only look at the scores of the tokens we care about for the given field, and pass those through a softmax to obtain probabilities which sum to 1
5. we take the token with the highest probability.
The benefits of this are that:
1. it's fast (we don't need to generate the JSON schema token by token)
2. it's 100% valid JSON (we don't need to rely on the model to generate a valid schema)
we have been baking this hard to make it feel as close as huddle / voice call with your AI teammate.
there are still some way to go, but i feel we are getting close. let me know your thoughts and feedback!!
Had a great time catching up with @RayFernando1337 today.
He’s one of the rare smart, genuine, and kind folks in the AI space.
Highly recommend following his X and YouTube if you don’t already.
7 mins left go!!!
FREE GROK BOT ULTRA FOR NEXT 10 MINS!! NEW ACCOUNTS ONLY
1. download grok bot
2. create account
3. ask bot to create recurring task like checking your emails daily
also, we are launching our game today!
nitter.cf/i/broadcasts/1YGNrbXEe…
Ray Fernando retweeted
I rebuilt Tesla Full Self Driving with Jev in less than an hour.
This model is a total unlock.
I can’t gatekeep this anymore. 2 Sparks will change your life. GLM-5.3 Flash EXL3 from Mia is the best out there right now.
2x dgx sparks on a desk is the endgame and i will die on this hill. i had the frontier in my room this week, with full 256k context loaded, and 37 watts on the gpu readout while an agent clank.
under $10k for the pair and the cable. that is a used car, and the used car does not think. if you have been waiting for the local ai moment to be real, this is it, and it is already sitting on my desk.
Ray Fernando retweeted
I gave DeepSeek an Astra subagent. Then I gave Astra a DeepSeek subagent.
Then I made both work alone, because apparently I needed 4 versions of Mario Kart.
Same game prompt, each build from scratch. Astra on medium reasoning, DeepSeek on max throughout. I just wanted to see how different the games would look depending on who was in charge. I still don't have a good explanation for why I did this.
You can play all the results yourself. Links will be in the first reply.
To be honest, I liked the version best where DeepSeek was the architect and Astra was the implementer. I don't know why. There's just more life in what DeepSeek does. Astra's work looks pretty polished, but it feels kind of soulless. And I love when games have soul and feel alive.
Locking Is The Biggest Mistake in Your Life
00:00 Confine Yourself to Your Room
01:03 Put It in Front of People
01:58 It Tastes Like Grape Soda
03:05 Rip It Out and Run It On Device
03:59 Don't At Me in the Comments
Having a Mac on the cloud that I don’t have to manage is extremely appealing. I can’t wait to try with my projects. More live and on the vlogs.
