Laiken📈📊

Data Driven Dude

[Laiken📈📊 @thunder_bark]

@FumikoHanada 🙌🎉🎉🎉🙌

[Laiken📈📊 @thunder_bark]

@yamacho1111 そのうち皆さんに配るかもしれません！

[Laiken📈📊 @thunder_bark]

Sonnetに買い物させたら
「あと〜円で手数料が〜円になります」みたいな安い説得に負けて、カートに1つ商品追加したっぽい。ガードレールを追加せねば…

[Ethan Mollick @emollick]

This chart from Anthropic is useful, since Agent Teams and Workflows are both very new and very powerful (and token hungry).

On the other hand, maybe it doesn't matter as a lot of the decisions about which approach to use is from the AI itself & it often uses them in combination

[Laiken📈📊 @thunder_bark]

勉強しながら理解度確認する程度なら sonnet 4.6 の low effort で十分ですね。こういう時は反応が速い方が嬉しい

[Laiken📈📊 @thunder_bark]

Googleのディープリサーチ、くそまじめなのが好き

[Laiken📈📊 @thunder_bark]

仕事用の引き継ぎskillがイマイチなので改良中…やっぱり家で毎日使ってるスキルの方が磨きがかかっているというか痒いところに手が届くな〜

次回「歩くレポートファクトリーが、売るほどある全レポートを後任に引き継いでみた」

[Laiken📈📊 @thunder_bark]

これはすごすぎてちょっと褒め方がわかりません！
天才

[Chie @chiyeah15]

ありがたいことに、本業で取り上げていただきました🫶このような画面が実現できたのは、#DataFam の皆さんのおかげです🤍

[Laiken📈📊 @thunder_bark]

警視庁本部庁舎の前で、宗教団体？がチラシ配っててよくやるなと思った

[Laiken📈📊 @thunder_bark]

ここがなるほどなと思った！
「AIエンジニアの役割が成熟するにつれ、数十年前の汎用的なソフトウェアエンジニアの役割が、フロントエンド、バックエンド、モバイル、データエンジニアリング、DevOpsなどに細分化されたように、より専門的な役割に分かれていくと予想しています」

[Andrew Ng @AndrewYNg]

One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs. I’ve heard from people who are wondering anew about the FDE career path since OpenAI and Anthropic started building new teams to place FDEs within client organizations.

The rise of FDEs for AI workloads is one way AI is creating new jobs (and why the jobpolcalypse narrative of upcoming job market collapse is false -- there will be many AI and non-AI jobs). However, I believe there will be far more AI Engineer jobs than FDEs, as I explain below.

The FDE role was pioneered about two decades ago by Palantir, which sent engineers to government locations to work on secure, air-gapped networks. In addition to having good technical skills, FDEs need communication skills and sometimes business skills. For example, they may need to speak with clients to understand their needs, formulate a strategy to prioritize projects, explain complex technology, and respectfully push back if a client asks for something unrealistic. They’re enjoying a resurgence because of the amount of work involved in taking an off-the-shelf LLM and building it into a custom agentic workflow that fits particular business needs.

However, I believe the number of AI Engineer jobs will be far larger. A company might accept a few FDEs to be embedded within its organization. But most companies will want far more of their own employees working on their projects. While my organizations do hire FDEs, we hire far more AI Engineers! Also, a common client concern is that it is hard to find vendor-neutral FDEs — they are, after all, there to deeply integrate a particular vendor’s product into a company. In this moment when it’s hard to predict which AI service will be the best one in a year’s time, optionality (the ability to pick whatever vendor turns out to fit best in the future) is very valuable. In contrast, letting FDEs tightly bind a company’s processes significantly reduces optionality.

Right now, I see surging demand for AI Engineers who can build software applications using AI software components (like LLM prompting, agentic frameworks, evals, etc.) and effectively use AI coding agents (like Claude Code, Codex, Antigravity CLI, and OpenCode). As the AI Engineer role matures, I expect it to fragment into more specialized roles, like the generic Software Engineer role from decades ago fragmented into frontend, backend, mobile, data engineering, devops, and so on.

What will be the future, specialized AI engineering roles? I don’t know. Perhaps there will be AI FDEs, LLMOps Engineers, Evals Engineers, AI Data Engineers, Harness Engineers, and other roles we don’t have names for yet. But for now, I see a lot of AI engineers who are generalists create a lot of value. Skilled AI Engineers are in very high demand! As our field continues to mature over the coming decade, I look forward to new specializations within AI Engineering that create even more job opportunities.

[Original text: The Batch newsletter]

[Thariq @trq212]

been asking others at Anthropic how they stay in the loop with Claude and fully understand the work being done

this is one of my favorites from Suzanne:

[Laiken📈📊 @thunder_bark]

【AIニュース】
Nvidiaが個人AIエージェント向けに設計された新しいスーパーチップRTX Sparkを発表した。このチップはWindowsラップトップに最大1ペタフロップのAI性能をもたらし、一日中バッテリーを保ったまま実行可能。個人用デバイス上でAIの推論を行う時代への転換を…

https://t.co/LLNTJowWsq

[知念実希人【公式】 @MIKITO_777]

すごいよ、膵がんの新しい治療法の発表されたことで、学会でスタンディングオーベーションがおきてる

それくらい、画期的なことです

どうやってもなかなか治療成績が上がらなかった膵がんに、ようやく人類が劇的な対抗手段を手に入れました！

[Laiken📈📊 @thunder_bark]

AIを使って転職活動をしている人は多いと思います。もう人間の転職エージェントは不要かもしれません。実際に私はJD収集から応募するかの判定、応募書類作成とカスタマイズ、アセスメント・面接対策、その他いろいろほぼ全部Claude Codeで…

みたいな話の方がカレーより需要があることがわかった🍛

[Laiken📈📊 @thunder_bark]

LTとかプレゼンのつかみにどうぞ！

「実は馬車だった？🐴ダッシュボードの語源」
https://t.co/9EILFti93p
#Tableau巣鴨会

[Laiken📈📊 @thunder_bark]

ネパール
→おはぎ
→#Tableau巣鴨会 今ココ

[Kenji Iguchi @needle]

中華フォントグリフ問題の英語啓蒙ページ https://t.co/n4RlXGtsw1 を作った時は「日本語話者のユーザーが英語話者の開発者に送り付ける」という使い方を想定してたが、今はこれに加え「コーディングAIがこのページを学習して、頼まれなくても正しい挙動で実装してくれるよう」という意味も加わった

[Laiken📈📊 @thunder_bark]

おはぎの前に、ネパールカレー食べに行くか迷ってる

[やまちょ【公式】 @yamacho1111]

巣鴨会の前に、おはぎ食べに行くか迷ってる。
今の季節限定は、よもぎ餡。

[やまちょ【公式】 @yamacho1111]

巣鴨会の前に、おはぎ食べに行くか迷ってる。
今の季節限定は、よもぎ餡。