SK

AI企業でビジネスコンサルをしています。

[Microsoft Azure @Azure]

You build AI with a plan. It should ship with one, too. Learn how to align product, architecture, and go to market early so monetization isn't an afterthought, it's built into your strategy from the start: https://t.co/QjmbXNjYRi

[こま｜n8n × AI @ai_yorozuya]

https://t.co/5RDlaLTCRO

[ClaudeDevs @ClaudeDevs]

Claude Sonnet 5 is here.

Top-tier performance on coding and tool use at Sonnet pricing, with a 1M context window.

It's the new default in Claude Code for Pro users, and available everywhere on the Claude Platform, including the API and Managed Agents.

[Developers @XDevelopers]

Announcing the hosted X MCP.

Agents now have access to the best real-time information source in the world.

Connect Grok, Cursor, or any MCP-compatible AI tool to the X API without any setup!

Check it out here: https://t.co/5MzPYwGFzD

[Boris Cherny @bcherny]

As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:

1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales

Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.

A healthy team needs a mix of these, depending on the product:

- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2

Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?

[みのるん @minorun365]

きょうの資料です！立ち見も含めて、セッションルームが溢れるほど多くの方々に来ていただき感激です🥹 #AWSSummit

「勝手に広まる」人気 AI エージェントを爆速で作ろう！（AWS Summit Japan 2026講演資料）
https://t.co/8SJXZGfL1R

[OpenAI @OpenAI]

Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work.

https://t.co/OoM83SyISN

[Satya Nadella @satyanadella]

Today we’re bringing skills to Copilot for Excel, giving teams a new way to scale their expertise across every workbook.

[ITmedia AI＋ @itm_aiplus]

Google、「Gemini 3.5 Flash」に「Computer Use」を標準搭載──AIが画面を見てブラウザやアプリを操作
https://t.co/UJI1WDy2Qp

[Ashwin Gopinath @ashwingop]

Claude Tag is a Trojan horse.  Not because Anthropic is doing anything evil. Because the incentives are obvious.

Day one, this looks like a great feature: tag Claude in Slack, let it follow the thread, remember context, connect to tools, break down tasks, chase work, and act like a teammate.

But that is exactly the problem. The moment your AI vendor becomes a shared coworker, it stops being just a model provider. It starts becoming the place where work is interpreted, remembered, routed, and eventually executed.

That is not model lock-in. That is context lock-in. You are now renting your company back from them.

Models can be swapped. Agents can be copied. But the memory of how your company actually works is much harder, maybe impossible, to move: the Slack scar tissue, the exception paths, the customer promises, the unfinished threads, the weird workflows, the implicit owners, the “we tried that in Q2 and it failed” knowledge.

Once that lives inside one vendor’s agent layer, you are not renting intelligence anymore. You are renting your company’s operating memory.

And the pricing model makes it even more dangerous. A human coworker has a salary. Claude has unbounded tokenized activity. The more work moves through it, the more the vendor captures not just IT spend, but labor spend.

This is the enterprise bargain people will regret: Convenience now, and rapid decent into dependency.

The right architecture is simple: rent the best intelligence from whoever is best this month. OpenAI, Anthropic, Gemini, open source, whatever. But own the context layer.

Your company memory should be inspectable, permissioned, portable, and model-neutral. It should not be buried inside the same vendor that sells you the intelligence and the workflow surface.

Claude Tag is useful. That is why it is dangerous. Rent the intelligence, but own the context. Or, regret later.

[今井翔太 / Shota Imai@えるエル @ImAI_Eruel]

Anthropicが先日、身分確認の内容を更新していますが、この内容だとFable/Mythos級やそれ以降のモデルを使うにはパスポート必須、あるいはそもそも米国民以外と判断された時点で使えなくなる可能性すら出てきました。
https://t.co/SNoKW2v1Dl

[SK @sh_ktsk]

Agencyが重要な時代ですね。

https://t.co/KwBT4DsG2B
https://t.co/MPCTovQBXV

[Claude @claudeai]

Introducing Claude Tag, a new way for teams to work with Claude.

In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.

[Claude @claudeai]

New in Claude Code: Artifacts.

Interactive pages built from your session, like a PR walkthrough or a living project dashboard, shared with your team at a private link.

Available in beta on Team and Enterprise plans.

[手羽先｜国産LLMを作る人 @Tebasaki_lab]

この度、2026年度未踏ITに採択されました！！！🎉🎉

3人で論理回路ベースの数百倍早く動くAIモデルの開発に取り組みます！🚀🚀

微分を使わない学習アルゴリズムのAP法や、世界初のAIアーキテクチャをゴリゴリ開発して世界とります！！🔥🔥

進捗発信していくので興味ある方はフォローをぜひ！！

[Cloudflare @Cloudflare]

Today we're rolling out Temporary Accounts on Cloudflare Workers. Any agent can now run wrangler deploy — temporary and get a live Worker in seconds. https://t.co/o5GLomVUxb

[Sakana AI @SakanaAILabs]

Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.

Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.

Try it: https://t.co/hhO6qTawgb 🐡

[SK @sh_ktsk]

SlackbotがMCP Client化。
こういう取り組みの積み重ねで、Slackを起点にCompany World Model的なものが作られるようになったらめちゃめちゃ面白い。

https://t.co/Kiatise5SY

[Slack @SlackHQ]

Introducing Slackbot's MCP client, now available with more than 20 partner apps!

With Slackbot MCP, you can:
🚀 Build an app with @Replit
📊 Pull a live @Amplitude_HQ chart
✅ Update a @linear ticket
🎨 Create a @canva design

...and a whole lot more, all without leaving the conversation. Multiply your output with multiplayer work in Slack.

Learn more: https://t.co/u97Ctibzjr