Valid points, but only if you're precious about the "writer" title 🎓.
I see it differently. AI opens doors for people like me: non-native speakers, people with ideas but not the writing chops to express them well.
I don't care about being called a writer or publishing prestigious books. I care about forming ideas and getting them out into the world, whether that's a long tweet, a blog, or a newsletter.
If AI helps more people share what's in their heads, I'm all for it.
@Molson_Hart Chinese living in Australia here, it’s not as bad as the US but the general multiple appointments across days and weeks flow is just so alien and unbelievable to me. That’s why every time I go back to China visiting family or friends, I will do a lot of hospital visits lol
@mbleigh So it’s just a wrap for Cloud SQL? I would like to see a serverless database solution that we don’t need to worry about the scale up the instance size and storage
GPT-4 does a lot more than you think, and none of the features are documented (it isn’t even clear how much the creators of these LLMs know about their capabilities)
Just ask it to do stuff, and when it says no, ask it if it can figure out any way to do it creatively using code.
Quite an inspiring ep about digital writing. Two leanrings:
1) writing is just another form startup: creating the right content that users want
2) start small, and your readers will tell you what they want (applies to startup as well)
https://t.co/gGmOHvy3cj
I think Langchain is a great starting point for getting into LLM app dev. Its comprehensive docs cover the core components of the dev pipeline and offer integrations with popular frameworks, which really helps you quickly grasp the ecosystem. https://t.co/54vlBFWT4M #AI#LLM
Just realized that you can do text embedding directly within your browser 🤯 This allows web apps to fetch and analyze text from smaller documents in real-time, right in the browser—eliminating the need for external vector databases. 🌐🔍
https://t.co/Rnc29C7F57
🚨Big things are happening in humanoid robotics!🚨
As we saw with drones and quadruped robots, it can take a mere decade for bleeding edge R&D areas to become "solved" platforms for commercial consumer use cases. Once open-ended research questions around reliability, dexterity, and cost have all been answered in a resounding fashion. Today, you can take your pick of low-cost stable consumer options that may have been impossible to imagine just 10 years ago.
And now, the writing is on the wall: the next few years will be transformative in bringing general-purpose humanoids from small scale proof-of-concept demos (ie. Atlas in the 2010s) to truly mature products available at scale.
2 notable recent announcements:
- Unitree H1 (https://t.co/00HF931Q30). @UnitreeRobotics did for quadrupeds what DJI did for drones. Absolutely believable that Unitree can run it back and disrupt a new form of robots.
- AgiBot RAISE-A1 (https://t.co/lsVHl8ht90).
In case you aren't familiar with the founder 稚晖君 (Peng Zhihui), he is a legit 100x Engineer that recently left Huawei's prestigious "Youth Genius" program to start his own company, AgiBot. I've been following his amazing YouTube (https://t.co/o6uPZu3ZH4) for a while now, and the proof is in the pudding: it seems that Peng is now only able to hack on full-stack robotics side projects, but also ship a real production robot. From inception to an on-stage demo of self-powered bipedal locomotion without support, it took less than 6 months.
These recent entrants join other humanoid players that I'm also particularly excited by:
- 1X EVE and NEO (https://t.co/Q8eqlN2POp)
@1x_tech is well-positioned with a large head-start in building out an already impressive hardware platform and the buy-in of OpenAI. The long-term AI vision is led by my friend @ericjang11, whose prescient insight around generative modeling, imitation learning, and language-conditioning has influenced many research efforts to scale up smart robots, including those of my own team at Google DeepMind.
- Tesla Optimus (https://t.co/kaKuHlVdiZ)
@Tesla_AI impressed robotics experts with how quickly they went from marketing pitch to live hardware demo in less than a year. Once they reach some technological maturity, there are clear synergies with their existing supply chain and distribution know-how. The manipulation R&D efforts are in good hands (haha) with @julianibarz, my old manager responsible for creating the famous "Google Arm Farm"!
- Figure 01 (https://t.co/aKwEpLMUg9)
@Figure_robot is one of the best-funded players led by a superstar founder @adcock_brett, who has a proven track record of shipping hard tech products (prev. @flyarcher). Long-term AI vision led by @corelynch, my old colleague whose keen research insight created a new subfield of learning from unstructured robot play data.
- Clone (https://t.co/7vEa4Ju9A1)
@clonerobotics is taking a unique approach with bio-memetic musculoskeletal humanoids. Big bet to swing for the fences, and led by the extremely sharp @dhanushisrad. When everyone else zigs, Clone zags.
There are a ton more cool humanoid efforts but these are the ones that I'm particularly excited by, thanks to their focus on building the Robot Brain and not just the Robot Body! Embodied AI is one of the most exciting challenges of our lifetimes, and I'm exceedingly optimistic about building it.
"Davinci, was available via API for almost a year before ChatGPT was launched. A year in the tech world is insane, and not one person created their own ChatGPT. "
Check out "How to Make AI UX Your Moat" by @_anshulr https://t.co/AX6g1vzcUv
Amazing article introducing most current LLM based AI App stack, including
- in-context learning
- embedding and vector database
- orchestration
- hosting
- operational tools
https://t.co/KgFhIVpxiY
@mbleigh atm the blocking function can only handle after sign in event, which is not useful when we want to implement a account lockout after certain failed attempt, and implement a sign in workflow ourselves means we throw all the convenience of firebase authentication out of the window.
https://t.co/RgrM3Z3TAa just like reading source code of good project is one of the best ways to improve your programming skill, I think reading good Figma UI Kit source files has the same effect.
My advice on tech talents' resume: focus on the tech skill keywords, the more specific the better, and highlight those keywords in your project lists. People don't usually read into projects' details unless there's keyword matching.