ชีพธรรม คำวิเศษณ์ | YouTuber & AI Educator 🤖
สอนใช้ Google Gemini Deep Research & NotebookLM เพื่อการวิเคราะห์ข้อมูลระดับสูง บรรยายและให้คำปรึกษาการใช้ AI
Grok Build v0.2.25 is out! 🚀
1 CLI changes
Highlights:
• Session titles now generate reliably even for very long initial messages.
Complete details in thread ↓
Today we’re launching another highly requested feature: Source Attribution! 🥳
No more guessing. Now you can see the exact formula (prompts + sources) used to make each of your artifacts. Want to make an adjustment? Just tap "Iterate" and customize to your heart’s content 💖
What happened when one of our models found a counterexample to an 80-year-old Erdős conjecture?
Researchers @alexwei_, @HongxunWu, and @wjmzbmr1 shared the story on the OpenAI Podcast with @AndrewMayne and explained how mathematicians and models can work together to make new discoveries.
Bring your images to life ⚡️
Upload your picture as a first frame and add a prompt to generate your own unique video with Gemini Omni Flash. Tag us and share your results!
Gemma 4 12B is here and very impressive, but most people are simply confused by Google's AI naming structures; so let's look at the difference between Gemini, Gemma, and Gemini Nano, and see why this new model is such an incredible achievement. https://t.co/MC4FVWotow
Boris Cherny, the creator of Claude Code at Anthropic, just explained why single-agent workflows are already dead
this is one of the best workflows I've seen in a long time
in this talk he breaks down exactly how the future is teams of agents, not better prompts:
- the 14% you lose to CLAUDE.md before typing a word
- one agent researching. one building. one reviewing. one orchestrating
- the architecture that separates hobbyists from real builders
- the 3 properties every agent team needs to actually survive
if you've been using Claude for more than a month and never left the chat window, you've been using one agent when you could be running a team of them
instead of another show tonight, watch this
make sure to bookmark it before it gets lost in your feed
the guide is in the article below
Own your life and take responsibility to make it great. When life doesn't give you what you want, don't be angry—learn how reality works and develop principles to get you where you want to be. Be radically open-minded, and recognize that if you want to be really successful, you have to work really hard.
Continue the graduation conversation with my AI Twin, Digital Ray in Beta: https://t.co/xMZkYAoepY
More of the iOS app loop, now inside Codex.
The Build iOS Apps plugin lets Codex view and test your iOS app in the in-app browser, open SwiftUI previews, and hot reload edits without leaving Codex.
Introducing Magenta RealTime 2, a new open model musicians can play as an instrument!
Run low-latency, live music synthesis natively on your MacBook using MIDI, text, and audio. 🎶
We love seeing Google’s open model ecosystem grow!
There are no shortcuts to the frontier. Disciplined, patient, meticulous attention to detail is critical. To give everyone a good sense of our progress we've published a very detailed technical report (109 pages!) outlining how we trained MAI-Thinking-1 and what we learned along the way. https://t.co/aCYyNybmUv
It's exceptionally strong in reasoning and SWE benchmarks. I’m super proud that it’s at 53% on SWE-Bench Pro, placing it right alongside Opus 4.6 on one of the toughest coding benchmarks. We have a lot more work to do as we get it into production and climb on more real world use cases.
We also launched six other world class models. Here's the line up: https://t.co/sYdMYnGSFD
- MAI-Transcribe-1.5 is the best transcription model in the world, with SOTA accuracy across 43 languages, beating out Gemini and OpenAI’s flagship transcription models. It offers the best accuracy, 5x faster than rival models. It's now in Microsoft Foundry, where it’s the fastest, most efficient and most cost‑effective transcription model of any hyper-scaler.
- MAI‑Voice‑2 our latest speech generation model, with native‑sounding delivery and fine‑grained emotional control, available in 15 languages with lots more coming soon. And MAI-Voice‑2‑Flash provides the best value and speed for ultra latency‑sensitive Voice Agents.
- MAI-Code-1-Flash is our new inference efficient coding model, especially tuned for VS Code and GitHub Copilot CLI. It's a brilliant, fast model at just 5B actives, and delivers 51% on SWE-Bench Pro. Super excited to get it into prod and climb on more real-world tasks.
- MAI-Image-2.5 and Flash are two super strong models that deliver a step change in quality and surpass Nano Banana 2 on the image editing leaderboard. MAI-Image-2.5 delivers super strong performance on H100s, enabling deployment on existing infrastructure, with flexibility to scale across GB200/GB300 systems.
We're hiring! We're a lean, fast-moving lab made of some of the world's most talented minds. Come join us as we work on our next generation of models!
"Google will be able to replenish more water than it consumes in the next four years by investing in projects that improve things like irrigation and infrastructure. It promises to keep reporting its annual water use and look for alternative sources like reclaimed wastewater, as it’s done in one Georgia county. The company also announced $17 million to support new water stewardship projects across seven states." — @Verge in a new interview with Bikash Koley, Google’s vice president of global infrastructure, on our new water commitments.
https://t.co/yG0dpVAqWE
Anthropic just shipped the most powerful Claude feature.
This just went under 99% of people's noses.
Dynamic workflows are here, and they're extremely powerful.
Master them and your Claude productivity will go through the roof: