Jason ich retweeted
OpenAI's Dots has huge potential, the model seems good, the UI is what AI should be, but the system behind it is awful. It's just not ready yet. They need to get on this and fix these issues ASAP. The errors with connecting to tools, sessions, etc., are endless. The amount of work it gets done is tiny. It forgets it's task list. There's virtually zero proactiveness from it. It doesn't seem to act like it's an orchestrator. It' doesn't seem to have the right mindset. It seems to use a dot session to communicate to a cloud session that then communicates to a local session then back the other way, which seems very convoluted. It's just very broken.
OpenAI, I've asked many times now to be added to your trusted tester programme. I'd love to help you fix your models, apps, tools and systems. If only in a tiny way. I use your models for hours every single day. I need these things to work (much like I need Copilot to work for work, much like I need Google Gemini to work outside of work).
Can you please merge work, chat, and Codex into one and have Dots use ChatGPT sessions rather than its own Dots sessions?
Grok Bot is still way ahead and just gets things done. It manages multiple agents so much better.
Jason ich retweeted
We cannot let the next president be anti ai, as much as people hate trump, it’s a very, VERY! good thing that he’s pro ai.
Jason ich retweeted
official now: anthropic is preparing the release of their new model(s). Via The Information
Anthropic is reportedly preparing a model that, when asked to fix one bug, can identify the broader class of problems behind it and ask whether it should address those too. That account comes from one anonymous tester; the model family and release date remain unclear.
But looks like it will be a significant jump compared to their released models.
Jason ich retweeted
「3年後にAGIが誕生すると分かっていながら，博士号を取り，ポスドクになり，大学教授になる計画を立てているんですか？」
Anthropicの研究者が，博士課程の学生たちに「あなたたちのキャリアプランはもう存在しない」と告げた講演が話題です。
拡散モデルの発明者でもあるJascha Sohl-Dickstein氏（Anthropic）の講演『Advice for a young investigator in the first and last days of the Anthropocene（人新世の最初と最後の日々における若手研究者へのアドバイス）』を紹介します。
youtube.com/watch?v=3LZN2UUx…
人類が主役だった地質年代（人新世）が，AIの台頭によって極めて短い期間で幕を閉じるかもしれない ——そんな前提のもと，提示されたデータは強烈です。
■ 突きつけられた冷徹なファクト
モデル訓練の計算量は過去10年で約1000万倍に増加し，人間の脳が生涯で行う総計算量に迫っている。AIが単独で完遂できるタスクの時間スケールは，数ヶ月ごとに倍増している。ここ7ヶ月ほど，モデルは数学者が長年解けなかった未解決の「Erdős（エルデシュ）問題」を解き始めている。サンフランシスコでは「長いタイムライン（懐疑派）」とは「AGIは10年以内に来る」を意味している。2030年の計算量は2025年の約1万倍に達する見込み。
線形グラフで見れば，現在の劇的な進歩すら「まだゼロと区別がつかない平坦な初期段階にいる」というのが彼の主張です。
■ 学生たちへのシンプルで容赦ないアドバイス
毎日AIを使え。指数関数の上にいれば，遅れを取ることはない。彼自身はClaudeを「実行力は天才だが、研究のセンスはかなり悪い大学院生」のように毎日使い，自分ではもうコードを一切書いていない。
計算量がスケールするほど良くなるプロジェクトを選べ。それ以外は，完成する前に解かれてしまう サットンの『苦い教訓』の通り，スケールに味方されるテーマを選ばなければ，2年かけた研究も完成する頃には次世代モデルのプロンプト一発で追い抜かれる。
キャリアを「安定したもの」として計画するのをやめろ。安全な選択肢は，もはや安全を買ってくれない 社会全体で大規模な破壊が起きるなら，ベースラインのリスク自体が高い。従来の「手堅い選択肢」は，もはや安全を担保してくれず，ただ潜在的なリターンを犠牲にするだけになる。
そして，最も印象的な一言がこれ。
「書くことは考えることだ（Writing is thinking）。書くことを外注すれば，考えることも外注することになる。」
コーディングや実行は徹底的にAIへ委譲しつつ，問題設定（センス）と思考の核（書くこと）だけは決して手放すな。 AGIのタイムラインを本気で信じているなら，キャリアの計画も本気でそれに合わせろという，極めてストレートなメッセージの講演を紹介しました。
Jason ich retweeted
NOOOOOOOOOOOOO!!!!!!
OpenAI, STOP WASTING TIME ON SIDE QUESTS, forget about Sora, and FOCUS ON MAKING A MODEL BETTER THAN OPUS 5.5!!!!!!!!
OpenAI's retreat from expensive side projects may be reversing as the company explores a deal to revive Sora while expanding its efforts in robotics, creator tools and personal devices.
Read more details: thein.fo/47l0mJR
Jason ich retweeted
We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit.
It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion.
In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding.
In the post below, we share more details about our new fund.
anthropic.com/news/public-be…
Jason ich retweeted
I do feel OpenAI are slightly behind right now. Obviously this isn't a merry-go-round and will change over and over, but I think they are desperately missing their cancelled GPT-6.1 Astra.
- Dots are lagging behind Grok Bot, they are buggy and incomplete, focus should move to it
- Plus tier needs more value, it's the plan most will sign up for but it needs to tease as many features as possible
- Arguably so does Pro, it should not be a case of missing tools and features and should only be about compute levels to get for the amount we spend (though this then becomes inequality)
- All UK and EU users are suffering because OpenAI release to the rest of the world before waiting for regulations to be approved. Anthropic seems way better at this. 🤔
- Messaging is poor, though you could say that for all labs
- The UI is confusing and we desperately need this merge of work + Codex and how will this merge Chat without losing the current higher usage limits over Work mode
- Dots vs ChatGPT needs feature parity, for example why has Dot not received the intelligent UI instantly?
And yes their models are very slow now, even Luna. I don't sit around waiting for the answers anymore. Ultra fast is only ultra fast because normal mode has slowed down. 😜
Their voice mode is good though.
Overall I have no concerns though, OpenAI's user count dwarfs Anthropic's right now.
Jason ich retweeted
Un investigador de Anthropic acaba de decirle a una sala llena de doctorandos que su plan de carrera ya no existe.
La charla se titula "El fin del Antropoceno" y los datos son brutales:
→ El cómputo para entrenar modelos se multiplicó por 10 millones en la última década
→ La duración de las tareas que una IA completa sola se duplica cada pocos meses
→ Desde hace 7 meses los modelos resuelven problemas abiertos de Erdős que los matemáticos no habían logrado cerrar
→ En San Francisco, tener "timelines largos" significa pensar que la AGI llega en 10 años
Su proyección: el cómputo de 2030 será 10.000 veces mayor que el de 2025.
Todavía estamos al principio de la exponencial.
Sus 3 consejos para los estudiantes:
1. Usa la IA cada día. Si estás sobre la exponencial, nunca te quedas atrás de ella.
2. Elige proyectos que mejoren cuando el cómputo escala. El resto quedará resuelto antes de que los termines.
3. Deja de planificar tu carrera como si fuera estable. La opción segura ya no compra seguridad, ya no existe.
Y una frase que resume todo:
"Escribir es pensar. Si externalizas tu escritura, externalizas tu pensamiento."
La charla completa aquí ⬇️
Jason ich retweeted
ANTHROPIC CO-FOUNDER TELLS THE IMF THE SINGULARITY HAS ALREADY BEGUN
"I believe that this year, we've gained convincing evidence that it has now begun"
"a point where our models must be discarded and a new reality rules"
"the singularity is here"
at least this time Clark shares his definition of what "singularity" means, and even by this definition I'm not sure we are there yet. AI is clearly speeding up progress dramatically in some areas, but it is still uneven, with plenty of bottlenecks preventing broad, self-sustaining acceleration
even the recent math progress still looks more like a massive speed-up of technical work than completely new theories or brilliant conceptual breakthroughs. so if you ask me, the singularity is not here yet, but the current pace may already be enough to create massive social and technological turbulence
Jason ich retweeted
Anthropic co-founder Jack Clark tells the IMF the world is about to go from 10 million scientists to 10 billion (almost all virtual):
“According to UNESCO estimates, there are approximately 10 million scientists in the world. And even with only 10 million scientists, we have too few humans to oversee the work of today, too few laboratories to do material science analysis, too few biological labs to develop and test new drugs, and too few large pieces of scientific equipment in space or on the Earth for the experiments we want to run.
"Tell me what happens when instead of 10 million scientists, we have a billion virtual scientists directed by our own 10 million. Or 10 billion [virtual scientists]. That's the world predictably coming right for us. And we have to get ready. If we do get ready, we are going to be in a better position to translate the intelligence of AI systems into gains for us all. You know, longer, healthier lives, more energy, more food, more wealth.”
Jason ich retweeted
In the last year or so, in talks & podcasts, I predicted this AI-bio-autolab-digital twin loop as a key pillar for solving all diseases & reversing aging in 10-15 years. “Experts” called it unrealistic & impossible in such a short time. Turns out I may have been conservative.
We are bringing agents to the wet-lab bench at Google Research to navigate complex biological landscapes. Learn how we are grounding agents in physical lab robotics to run fast closed-loop molecular design cycles, ultimately discovering single-digit nanomolar protein binders for cancer targets →goo.gle/4B5mMMB