Phillip Chananda

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Phillip Chananda

Phillip Chananda

@phillipchananda

Deep Learning | Life is wonderful.

Shenzhen, China Katılım Mart 2022
188 Takip Edilen81 Takipçiler
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Phillip Chananda
Phillip Chananda@phillipchananda·
Aristotle and Descartes’ philosophy on thinking from fundamental principles, that is breaking down the problem to it’s core and doubting all non-proven facts on the problem is a great way for formulating a new concept or theory, or even improving an already existing one.
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AI at Meta
AI at Meta@AIatMeta·
Introducing Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. Muse Spark is available today at meta.ai and the Meta AI app. We’re also making it available in private preview via API to select partners, and we hope to open-source future versions of the model. Learn more: go.meta.me/43ea00
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Claude
Claude@claudeai·
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.
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Tuo Liu
Tuo Liu@Robo_Tuo·
If you're an international founder working on AI hardware or robotics in Shenzhen and want to collaborate with other global founders in a shared space, let us know. Global Founders Yard is launching soon.
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Pierce Boggan
Pierce Boggan@pierceboggan·
New in @code Insiders: Use @ to reference context. (# still works, too!)
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Prince Canuma
Prince Canuma@Prince_Canuma·
From hacker to judge! My first Hackton was back in 2016 with @MozDevz and a keynote speech by @DarioMungoi (ex-Google). We didn’t win but learned a ton, and since then participated in many around the world with a couple podium wins. Last 10 years have been nothing short than incredible 🔥🙌🏽 @MozDevz @GdgMaputo @GDGBaroda
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Prince Canuma@Prince_Canuma

Today I had the pleasure to be a judge alongside my great friend @skalskip92 at @swmansion x @GoogleDeepMind Hackton in Krakow Poland 🇵🇱 It was a full house with amazing teams and projects 🔥 It’s wild to see how much the teams accomplished in 5-7h thanks to coding agents. Back when I used to compete (circa 2016) these type of events took 48h to 72h. Thank you to the organisers for having me!

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Fernando
Fernando@Franc0Fernand0·
Software engineering isn’t just about code. It’s about solving the right problems, in the simplest way possible.
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Claude
Claude@claudeai·
You can now enable Claude to use your computer to complete tasks. It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk. Research preview in Claude Cowork and Claude Code, macOS only.
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OpenClaw🦞
OpenClaw🦞@openclaw·
OpenClaw 2026.3.22 🦞 🏪 ClawHub plugin marketplace 🤖 MiniMax M2.7, GPT-5.4-mini/nano + per-agent reasoning 💬 /btw side questions 🏖️ OpenShell + SSH sandboxes 🌐 Exa, Tavily, Firecrawl search This release is so big it needs its own table of contents. github.com/openclaw/openc…
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Andrej Karpathy
Andrej Karpathy@karpathy·
Thank you Sarah, my pleasure to come on the pod! And happy to do some more Q&A in the replies.
sarah guo@saranormous

Caught up with @karpathy for a new @NoPriorsPod: on the phase shift in engineering, AI psychosis, claws, AutoResearch, the opportunity for a SETI-at-Home like movement in AI, the model landscape, and second order effects 02:55 - What Capability Limits Remain? 06:15 - What Mastery of Coding Agents Looks Like 11:16 - Second Order Effects of Coding Agents 15:51 - Why AutoResearch 22:45 - Relevant Skills in the AI Era 28:25 - Model Speciation 32:30 - Collaboration Surfaces for Humans and AI 37:28 - Analysis of Jobs Market Data 48:25 - Open vs. Closed Source Models 53:51 - Autonomous Robotics and Atoms 1:00:59 - MicroGPT and Agentic Education 1:05:40 - End Thoughts

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GitHub
GitHub@github·
Different AI models find different bugs. So why not use all of them? Try this out in Copilot CLI: 1. Run /review 2. Ask it to use multiple model providers at once for a multi-agent code review 3. Get the highest possible signal and catch bugs before anyone else @_Evan_Boyle shows how it's done. ▶️ github.com/features/copil…
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GitHub
GitHub@github·
You open an issue before lunch. By the time you’re back, there’s a PR waiting. That’s what GitHub Copilot coding agent is built for, and it just got a major upgrade to make delegating tasks even smoother. Here’s what’s new. 👇🧵
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Jeff Dean
Jeff Dean@JeffDean·
We've been working on the Waxal dataset project since 2021, aiming to enhance the amount of data available for African languages. This public speech dataset initially covers 27 Sub-Saharan African languages spoken by over 100 million speakers across more than 26 countries. 🌍
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Visual Studio Code
Visual Studio Code@code·
GPT-5.4 available today in @code - try it out!
GitHub@github

🆕 @OpenAIDevs GPT-5.4 is now generally available and rolling out in GitHub Copilot. Early testing shows ➡️ It consistently hits high rates of success ➡️ Enhanced logical reasoning and task execution for intricate processes Try it out in @code or Copilot CLI. github.blog/changelog/2026…

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Pierce Boggan
Pierce Boggan@pierceboggan·
The only limit is your creativity.
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Claude
Claude@claudeai·
Introducing Claude Code Security, now in limited research preview. It scans codebases for vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix issues that traditional tools often miss. Learn more: anthropic.com/news/claude-co…
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Phillip Chananda
Phillip Chananda@phillipchananda·
Humor is one of the most subjective social constructs we have. AI-generated jokes land differently depending on the audience. But being able to tell what will resonate with a particular person or crowd requires a certain level of emotional intelligence. Any Thoughts? #AI #AGI
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