Kenny retweeted
Introducing Eleven v3 (alpha) - the most expressive Text to Speech model ever.
Supporting 70+ languages, multi-speaker dialogue, and audio tags such as [excited], [sighs], [laughing], and [whispers].
Now in public alpha and 80% off in June.
Kenny retweeted
I still do this most days and I think it works great. My morning brain (right after 1hr exercise and 1 coffee) is quite eager to work and I go directly to the one top priority item. The energy decreases over time and with every distracting item loaded into the context window.
Kenny retweeted
TikTok admits in their own research:
“compulsive usage correlates with a slew of negative mental health effects like loss of analytical skills, memory formation, contextual thinking, conversational depth, empathy, and increased anxiety.”
npr.org/2024/10/11/g-s1-2767…
Kenny retweeted
If you run a partially or fully distributed team, you should treat your entire team as if they work remotely.
I'd like to disable personalization on many apps. I just want a list of some of the best non fiction. But all I can get are recommendations based on my history
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Kenny retweeted
Never regret a day in your life. Good days give happiness, bad days give experiences, worst days give lessons, and best days give memories.
—Professor Richard Feynman
Kenny retweeted
Sunday rant.
For software engineering, my sense is that the phrase “premature optimization is the root of all evil” has massively backfired. Its from a book on data structures and mainly tried to dissuade people from prematurely write things in assembler. But the point was to free you up to think harder about the data structures to use, not leave things comically inefficient. This context is always skipped when it’s uttered.
Not all fast software is world-class, but all world-class software is fast. Performance is _the_ killer feature.
If you are in engineering, here is a fantastic anecdote. I refer to this account often. It’s a bit subtile, but the implications are massive-
It’s an account of how SQLite became 50% faster, not by doing one specific thing but hundreds of small ones.
SQLite is everywhere today because of this work.
sqlite-users.sqlite.narkive.…
We need the engineers in all companies fight for this more. Product leads are not the right owners of the end performance of the software. This needs to be encoded in the professional pride of the software engineering discipline. Leaders in companies need to encourage it and hold engineering accountable. It’s simply not ok to fritter away the performance of the products for random reasons.
Every user of your products cares exactly as much about latency as engineers do when typing in their terminal. They just don’t have the words to describe what they don’t like about the experience and neither should they.
Kenny retweeted
Also previewed in the #GoogleCloudNext dev keynote: The Cloud Run application canvas.
Simply describe your desired Cloud Run application architecture, and Gemini will generate it. You can now deploy all pieces at once in a click and update the app later.
Reply to this tweet with app architecture prompts to test, I'll share the results.
Launching soon publicly. Read more: cloud.google.com/blog/produc…
Kenny retweeted
I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks, including 10 of 12 popular text and reasoning benchmarks, 9 of 9 image understanding benchmarks, 6 of 6 video understanding benchmarks, and 5 of 5 speech recognition and speech translation benchmarks. Gemini Ultra is the first model to achieve human-expert performance on MMLU across 57 subjects with a score above 90%. It also achieves a new state-of-the-art score of 62.4% on the new MMMU multimodal reasoning benchmark, outperforming the previous best model by more than 5 percentage points.
Gemini was built by an awesome team of people from @GoogleDeepMind, @GoogleResearch, and elsewhere at @Google, and is one of the largest science and engineering efforts we’ve ever undertaken. As one of the two overall technical leads of the Gemini effort, along with my colleague @OriolVinyalsML, I am incredibly proud of the whole team, and we’re so excited to be sharing our work with you today!
There’s quite a lot of different material about Gemini available, starting with:
Main blog post: blog.google/technology/ai/go…
60-page technical report authored by th Gemini Team: deepmind.google/gemini/gemin…
In this thread, I’ll walk you through some of the highlights.
"To design something really well, you have to get it.
You have to really grok what it’s all about."
It's been a while since I wrote a long-form public piece.
This one is spurred by @bchesky's wonderful talk with @figma, and is my love letter to design.
lg.substack.com/p/the-lookin…
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