Super Hacker / ex-meta, ex-Oculus, ex-Sega Sammy
Japan
Joined July 2007
- Tweets722K
- Following16.7K
- Followers78.3K
- Likes317K
NULL=RUN retweeted
基板の製造データまで1本で作れる日本語の回路CAD「circuitCad」 fabscene.com/new/make/circui…
PS5レベルのグラフィクス出して欲しいわwww
この動画でもファミコンレギュレーション問題について触れられています。動画内では「ファミコン本体は何もしてなくて、チップが映像出している」「特殊チップが乗っているならまだしもPCが乗っている感じ」「隠している」とかいう認識になってますね。
以前、引用RTで「ファミコン側はほとんど何もしてない」「PS5レベルのグラフィックス描画も可能」とかの当てずっぽうな解説をしてくれたプログラマーの方がいたけど、あの嘘解説が広まっちゃったんだよね…
私もちゃんとした解説動画作ろうかなぁ！
youtu.be/X5kHSNCygMU?t=133
NULL=RUN retweeted
この動画でもファミコンレギュレーション問題について触れられています。動画内では「ファミコン本体は何もしてなくて、チップが映像出している」「特殊チップが乗っているならまだしもPCが乗っている感じ」「隠している」とかいう認識になってますね。
以前、引用RTで「ファミコン側はほとんど何もしてない」「PS5レベルのグラフィックス描画も可能」とかの当てずっぽうな解説をしてくれたプログラマーの方がいたけど、あの嘘解説が広まっちゃったんだよね…
私もちゃんとした解説動画作ろうかなぁ！
youtu.be/X5kHSNCygMU?t=133
NULL=RUN retweeted
このデバイスも面白そうですね…！
そんなに高くないなら僕も買ってみようかな
気に入ってる Clipのスペック
電源周りは nPM1300だった
reSpeaker Clip
- SoC:nRF5340（デュアルコア）＋ Wi-Fi用 nRF7002
- マイク:デュアルPDMマイク、最大16kHzサンプリング／16bit、360°・約3mまで収音。オンボードでノイズ抑制＋残響除去＋AGC（SpeexDSP）→ Opus圧縮録音（モノラル32kbps）
- ストレージ: 内蔵2GB（microSD、FAT）。圧縮音声で約250時間分
- ディスプレイ: 0.5インチ OLED、88×48（CH1115）、プログラマブル
- バッテリー: 240mAhセル、連続録音14〜18時間（高音質モード14h／耐久モード18h）。充電はUSB-C、PMICはNPM1300＋残量ゲージ
Bluetooth 5.3／Wi-Fi 6／USB-C（シリアル＋マスストレージ）
- その他: バイブレーションモーター、アクションボタン1つ、ファームはZephyr RTOS＋MCUboot（署名付きイメージ、OTA対応）
NULL=RUN retweeted
True
It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now.
The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way.
But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now.
I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either.
With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.
オレは🈁だぜ 一足お先
光の速さで 明日へダッシュさ
若さ 若さ ってなんだ？
振り向かないことさ
よろしく 勇気
It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now.
The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way.
But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now.
I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either.
With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.
NULL=RUN retweeted
そうなんよね、だからGoromanさんフォローして、プロアクティブLLMに最先端情報を追わせるようにして、ローカルLLMで新しいやつを試せる環境を構築しようとしてできるだけキャッチアップし続けるしかない。加えて仕事と相場、趣味のゲーム作りと、のんびり過ごせる老後なんて本当にあるの？w
It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now.
The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way.
But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now.
I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either.
With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.