A family traded Connecticut for retirement in a car-free Costa Rica beach town
"We fill every day. There's really not a lot of downtime, yet we never feel rushed or pushed or stressed," Andrew Rappaport told BI about life in Costa Rica.
Latest AI/ML News
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France's deadliest skydiving plane disaster kills 11 moments after takeoff
11 killed in skydiving aircraft crash in north-eastern France
2026年に採用が最も難しいIT職種11選——何が変わったか
専門家の採用はむしろ容易になった。SOCアナリスト、ML研究者、クラウドアーキテクト——こうした職種は数週間で採用が決まる。一方、採用に6〜9カ月かかるのはハイブリッドな職種だ。AIに精通しながらコードにも深く入り込め、ビジネスも理解できるエンジニア。「3つのスキル、1人の人物、少ない候補者プール」とBest BuyのCDTOであるNeal Sample氏は言う。「これらのハイブリッド人材がITの未来だ——現時点でこのようなハイブリッド人材は見つけるのがとても難しい」。 AIがサイバーセキュリティを抜いて採用最難関スキルになって2年が経過する。2026年のState of the CIO調査では、AI/機械学習とサイバーセキュリティが同率1位となり、データサイエンス・分析が僅差で続く、という結果になった。ランキングは似ているが、人材難の性質は変わった。LLMエンジニアやプロンプトスペシャリストへの需要は、AIをスケールで実用化し、リスクを管理し、盲目的に信頼せずに使いこなせる人材への需要に変わった。 リスク管理は初めてトップ5入りし、ビジネス・IT自動化は上位を維持している。一方で数年前まで注目されていた職種への需要は緩んでいる。その1つがクラウドアーキテクチャだが、今年は順位を落とし、アプリケーション開発もリストから外れた。「採用が最も難しいのは、AIとの組み合わせが求められる職種すべてだ」とValcom TechnologiesのITアドバイザー、Niel Nickolaisen氏は言う。 採用困難なIT職種：2026年 vs. 2024年 スキル 2026 年 2024 年 変化 AI/機械学習 1位（同率） 1位 横ばい サイバーセキュリティ 1位（同率） 2位 上昇 データサイエンス・分析 3位 3位 横ばい ビジネス・IT自動化 4位 4位（同率） 横ばい リスク管理 5位 8位（同率） 上昇 ソフトウェアエンジニアリング 6位（同率） 6位（同率） 横ばい DevOps/DevSecOps 6位（同率） 11位（同率） 上昇 エンタープライズアーキテクチャ 8位（同率） 10位（同率） 上昇 クラウドサービス・統合 8位（同率） 12位（同率） 上昇 クラウドアーキテクチャ 8位（同率） 6位（同率） 低下 デザイン思考・UX 8位（同率） 15位（同率） 上昇 出典：Foundry/CIO.com State of the CIO Survey、2024年および2026年 AI採用の成熟 「プロンプトエンジニアリングは単独の職種としては短命だった。現在はベースラインのスキルになっている」とSample氏は言う。多くの組織が求めるのは別のものだ——エージェントを立ち上げ、テストフレームワークを構築し、コスト・レイテンシ・品質のトレードオフを管理し、AIをスケールで展開できるAIプロダクトエンジニアだ。3年前は存在しなかったガバナンスやレッドチームの役割も生まれている。「モデルを作る人からモデルを使いこなす人へ、重力の中心が移った」とSample氏は言う。 このように、求められるスキルは、プロンプトエンジニアリングよりもエージェンティックAIの活用へとシフトしている。「ワークフロー、プロセスの簡略化を理解し、エージェントプラットフォームで業務を自動化できる人材が必要だ」とNickolaisen氏は言う。課題は、AIが急速に進化しているため、ある企業での経験が別の企業で通用しない可能性があること、また6カ月前に学んだことがすでに時代遅…
ITを揺るがす「エンタープライズ価格大転換」の波
SaaSおよびAIソフトウェア市場は価格の大転換期に入っている。従来型のSaaSと競合するAI製品の登場により、SaaSベンダーはシートベース（ユーザー数基準）の価格設定の見直しに迫られている。見直しの結果、従来型SaaSの価格はアウトカムベース（成果連動型）課金へと移行しつつある、これはCIOとCFOにとっては概ねプラスの動きだ。一方、一部のAIツールやSaaSパッケージは消費量ベースの課金へと向かっており、利用状況を注意深く管理しなければ、請求額が想定外に膨らむリスクがある。 CRMデータプラットフォームプロバイダーTwilioの戦略・オペレーション担当ディレクター、Sidharth Ramsinghaney氏は「最も差し迫った問題は、ほとんどの組織がこれまで経験したことのない予算の変動だ。この転換は、ベンダーから買い手に予測リスクを移転するものだ」と言う。Gartnerによれば、2030年までにエンタープライズSaaSの支出の少なくとも40%が利用量、エージェント、アウトカムベースの課金に移行し、シートベースのベンダー収益シェアは21%から15%に低下すると予測されている。 AIエージェントは価格モデルを揺るがす可能性を持っている。「AIエージェントが人間の業務を代替するようになれば、この予測は現実になる。以前は10人が必要だった仕事を1つのエージェントがこなせるなら、ユーザー数に基づくシートベースの課金は意味をなさなくなる」とRamsinghaney氏は言う。ただし、エージェントの導入が停滞すれば、シートベースの価格設定が長く続く可能性もある。不確実性が続けば、ハイブリッド型の価格設定がデフォルトになる可能性もある。 アウトカムベース課金の難しさ 一部の顧客がアウトカムベースの価格設定を求め、一部のベンダーが試験的に導入している。だが、実現は容易ではない。「アウトカムの帰属を明確に測定することが本質的に難しい」とRamsinghaney氏、「そのため、純粋なアウトカムベースの価格設定は多くのカテゴリーでまだ理想論にとどまる」と続ける。ソフトウェアコンサルティング会社Software Improvement GroupのCTO、Jasper Geurts氏も同意する。多くのAIベンダーはアウトカムではなく、シートベースと利用量の組み合わせに動いている。「エージェントはテストに合格しながら、誰も後から手を加えられない質の低いコードを生成することがある。機能すればいいという成果のみに課金するなら、将来の負債となるコードに対してお金を払っているのと同じだ」とGeurts氏は言う。 トークン経済の不透明さ AIベンダーのコスト構造は従来型SaaSとは異なる。フロンティアAIモデルのコストは下がるどころか上がっており、AnthropicのFable 5モデルはOpus 4.8の2倍のトークン単価だとGeurts氏は指摘する。「CIOたちはトークン経済が不透明だと言う。エージェントがどれだけトークンを消費するか予測できなければ、請求額の見通しが立てられない。CIOはトークンを10年前のクラウド支出と同様に扱うべきだ——つまり計測し、管理し、成果と結びつける必要がある」。 「シートベースの価格設定はヘッドカウントで請求額を抑えられた。利用量ベースの価格設定は消費量に応じてスケールする。AIがアシスタントから自律的なコーディングに移行するにつれ、コードの量はレビューしきれないほど増える。誰もレビューしきれないコードが積み上がれば、それ自体が将来の負担にな…
RTA expands strategic partnerships with leading Chinese companies
RTA expands strategic partnerships with leading Chinese companies
Putin acknowledges ‘difficult period’ as Ukraine ramps up attacks
Kyiv struck a Russian defense plant and set fire to a major oil refinery as part of its efforts to weaken Moscow’s wartime economy.
South Africa braces for wave of anti-migrant violence
Thousands of migrants are fleeing South Africa as the country braces for violence after an anti-immigrant group set a Tuesday deadline for all undocumented migrants to leave.
AI spending boom could end in global bust, report says
The AI spending spree risks an extended “investment bust” that could imperil the global economy, a report warned Sunday.
Care externalities
A big source of externalities I’m not sure I’ve heard mentioned as such: people caring about one another. For a random person, I’d guess the unaccounted for effects on other people from their making different private decisions about their lives while being cared about by numerous family and friends might be at least comparable to those from marginally contributing to air pollution or city density or traffic congestion. Discuss
Heat wave grips Europe, reigniting debate over AC
Austria, the Czech Republic, Germany, and Poland sweat through record temperatures on Sunday, as a European heat wave reignited a political debate over the continent’s preparedness for hotter summers.
Plane crash in Beijing reveals airspace security gaps
A small plane crash in China’s capital exposed major gaps in the country’s airspace controls, analysts said, as the government tried to limit public discussion of the incident.
US and Iran test truce with fresh strikes
Tehran attacked American military sites in Kuwait and Bahrain after the US accused Iran of attacking a cargo ship in the Strait of Hormuz and targeted Iranian infrastructure in response.
Quoting Jon Udell
Human Agent in the loop I dislike the phrase “human in the loop” because it cedes authority to the machines. Let’s flip the narrative. It’s our loop, we work the same way we always have, now we recruit agents to join the team. An agent-assisted process need not be a black box that takes in prompts and emits features. [...] Let’s do agentic software development like that. Not as a loop we’ve been excluded from, instead as one we invite agents into. — Jon Udell , “Doctor, it hurts when agents create unreviewable PRs.” “Don’t do that.” Tags: jon-udell , coding-agents , generative-ai , agentic-engineering , ai , llms
Arab League condemns continued Iranian attacks on Bahrain, Kuwait
Arab League condemns continued Iranian attacks on Bahrain, Kuwait
China’s Z.ai claims it can match Mythos on cybersecurity
China's Zhipu AI (Z.ai) released its open-weight GLM-5.2, and some researchers have claimed that it matches Mythos in certain bug-finding and cybersecurity scenarios. While GLM lags behind models from Anthropic and OpenAI in other, more general tasks, it seems that China has dramatically reduced the gap in the capabilities between its models and those of […]
California law targeting loud streaming ads takes effect on July 1
Streaming ads might be getting a lot quieter.
OpenAI support no response 3 weeks after june false ban wave
I don’t want to have to keep creating new topics about this @OpenAI_Support please let me know of any updates, i still have not received any response in almost a month since it was escalated to a “Specialized Team” and I haven’t gotten any updates here. Is anyone still looking at my case or what is happening?
Images made by Chat-Gpt clearly seems made using AI.. Not realistic at all?
My prompts were too basic to mention, hardly 2 to 3 lines With keywords realistic, surreal, etc. keywords to make those photos look real life. But failed. I have noticed, there is heavy use of dark red/brown color in all photos background or most used color at back. (or maybe my observation) I can find similar images on internet, were people are using ChatGPT to generate those photos/image June 2026 (Theme: Through Time) — ChatGPT / API Image Generative Art Gallery, Prompt Tips, and Help Community Today decided to go old school. Not coding prompt as usual. Just a notebook, my pen, I delved into designing, revisiting, and optimizing prompts for images. Almost the whole day for a small set of images today. Just two, and absolutely no aid from any digital tool. The Hospice of Dead Formats Narrative [image] Impact Event: Stress Test Narrative [image] Disappointing fact… Lunch :pleading_face: [image] Edit: removed duplicity errors. Trying prompts from those topics, makes my images/photos different compared to what is posted by user, not sure why though ? Also, the most used colors like red/cherry/brown is common in all photos, generated at my end.
Stars, Stripes, VIPs and Protests: Brussels hosts US Independence bash
Among those attending are Belgian Prime Minister Bart de Wever, NATO Secretary General Mark Rutte, and European Parliament President Roberta Metsola.
Windows codex-app is completely messed up
the latest app version: Frequently crashes CLI chats / instance are not synced with UI, CLI chat do not appear in the app unable to transcribe furthermore, for remote control, the one QR code per account is useless feature if you have multiple accounts due to rate limits. so when one account is out of limit and you switch to antoher account you have to reset up your remote control in the app. account 1 sign in - get codex coding, sign in to remote control using QR code, runs out of limit, switch to account two, now need to resign in to use remote control with new QR code.
Joy as man pulled from rubble three days after Venezuela quake
Spanish and international rescue teams pulled a survivor from the rubble four days after deadly earthquakes struck Venezuela. Search operations continue as crews race to find more survivors, with the death toll rising to more than 1,400.
The battle for the worst job in Britain heats up
Andy Burnham’s choice of chancellor will be the clearest signal of the direction he is planning on taking the country as a whole.
Suno launches Spark incubator program to feed independent artists to its AI machine
Suno has ambitions to be more than just a toy to churn out AI slop, it also wants to be a streaming destination and to break new artists. Spark is their new incubator program for independent artists that provides grants, mentorship, and marketing support. To apply, artists need to be an unsigned singer, songwriter, or […]
The problem of how to gain support
All right this is getting ridiculous . 3 weeks I am getting messages that support is looking into this but solution is still not provided, can someone write to me what is the issue and can we get this resolved finally??
Parenting teenagers comes with a strange sense of finality. A family vacation reminded me to enjoy every moment.
A family trip with my four teenage and young adult sons reminded me how little time we have left before the nest empties.
Some ChatGPT App Store users lose access to exposed MCP tools after one tool call
I wonder if this is related to the new version of GPT-5.5 Instant released last week. Can anyone from OpenAI confirm whether Apps on Instant have a smaller effective context or tool-descriptor budget? I saw docs implying context size for Instant is now 16K tokens (and it used to be 27K tokens). Specifically, can large MCP tools/list payloads - descriptions, input/output schemas, annotations, metadata, etc. - cause exposed tools to become unavailable or stop being selected after an initial tool call?
What comes with cheap math?
Thanks to conversations with Anson Berns, Gurkenglass, Roman Malov, Sahil, Sam Eisenstat, and others. Over the past two months, I've been doing a lot of "vibe research" (like vibe coding, but for research). Anson Berns started coming to my office hours , and we've been collaborating on a project modeling trust between logical inductors. In addition to talking once a week, we've been exchanging raw AI chats as well as AI-generated summaries of what has been done (the raw chats are nice because they allow me to generate my own AI summaries focusing on what I'm most curious about). I've been asking Claude to use Lean to verify everything, so there's a somewhat good chance there's real results of interest here, but I haven't (yet) been reading the Lean proofs (or even the theorem statements) -- instead I've just been chatting with AI about how the Lean proofs went and whether they really formalized what was claimed in english+latex, and focused on understanding the proofs myself in the same way I'd normally read a math paper. There have already been several times when this methodology has caught big gaps between what was claimed and what was verified in Lean, so I imagine there are more. This was mostly done with Claude Opus 4.8 via Claude Code, with a small amount of GPT 5.5 Extra High in Codex to get a second opinion. I cannot confidently say that this was faster than doing research the old-fashioned way. Sitting down with AI puts my attention in very different places, more on…
We Should Be Scaling RL on Forecasting
This is a crosspost of a post from my blog, Metal Ivy . The original is here: Reinforcement Learning on Forecasting Will Give Us a Superhuman Forecaster . Why RL on forecasting? When DeepSeek R1 came out in January 2025, I felt that the fact that RL on LLMs simply worked was incredible, but using it on coding and math wasn’t the right path. Before RL we had pretraining, a scalable and general training methodology that worked extremely well to get the model to the human level, through learning by imitation over human data. Then RL came in and gave us a way to get even further, to the expert level and beyond, through sampling many trajectories from the LLM and using a reward function to select the best ones to reinforce. But it isn’t general anymore when only short term, self contained verifiable tasks such as coding or math make up the environment. A strongly superhuman coder might change everything - if recursive self improvement happens like the labs hope (and doesn’t kill us). But it might not change that much at all by itself, beyond giving us more of the software abundance we in many ways already have. A strongly superhuman forecaster instantly gives people and organizations the ability to make superhuman decisions through forecasting of their outcomes, and would be a massive boost to the overall competence of our civilization. You may ask why should it work, even in theory - math is deterministic and forecasting is not, so forecasting reward may give bad weight updates.…
Reinforcement Learning on Forecasting Can Give Us a Superhuman Forecaster
This is a crosspost of a post from my blog, Metal Ivy . The original is here: Reinforcement Learning on Forecasting Will Give Us a Superhuman Forecaster . Why RL on forecasting? When DeepSeek R1 came out in January 2025, I felt that the fact that RL on LLMs simply worked was incredible, but using it on coding and math wasn’t the right path. Before RL we had pretraining, a scalable and general training methodology that worked extremely well to get the model to the human level, through learning by imitation over human data. Then RL came in and gave us a way to get even further, to the expert level and beyond, through sampling many trajectories from the LLM and using a reward function to select the best ones to reinforce. But it isn’t general anymore when only short term, self contained verifiable tasks such as coding or math make up the environment. A strongly superhuman coder might change everything - if recursive self improvement happens like the labs hope (and doesn’t kill us). But it might not change that much at all by itself, beyond giving us more of the software abundance we in many ways already have. A strongly superhuman forecaster instantly gives people and organizations the ability to make superhuman decisions through forecasting of their outcomes, and would be a massive boost to the overall competence of our civilization. You may ask why should it work, even in theory - math is deterministic and forecasting is not, so forecasting reward may give bad weight updates.…
Introducing GPT-5.6 series: Sol, Terra and Luna
The timing on this couldn’t be better. I run agentic systems daily - OpenClaw, Hermes, Claude Code orchestrating multiple AI workers. The bottleneck has always been cost at scale. Anthropic’s API pricing makes it brutal to run agents 24/7. You’re watching credits evaporate in real time. The fact that OpenAI allows third-party harnesses to tap into these models through an existing subscription changes the math completely. Looking forward to Sol Ultra powering my agents without per-token anxiety. And “Ultra” mode with subagents working together - that’s exactly where agentic AI needs to go. Thank you for making this accessible to builders, not just enterprises with infinite API budgets. Time to put these through their paces. I’ve got 6 DGX Sparks running great local model like Gemma4 and these 5.6 models are going to run it all.
Hack Your Summer
Hack Your Summer I learned about this initiative from DJ Patil this morning: It’s a 4-week, high-velocity production sprint for undergraduate students, graduate students, and recent graduates who want to build something real this summer. You’ll learn how to identify a project, make steady progress, get support from mentors and peers, and create tangible, public-facing work you can actually show future employers. Hack Your Summer is partly a reaction to the internship crisis facing US college students this year. There are way fewer available internships than usual, as companies have reduced their hiring ambitions and teams have less capacity to coach interns. Hack Your Summer provides an alternative path for the many students who didn't catch one of those rare internships. A second (free) cohort starts on July 13th, and the deadline for students to apply is July 8th. They're also accepting volunteers to help mentor the students. Tags: careers
When cricket broke hearts, hockey gave India a reason to smile
When cricket broke hearts, hockey gave India a reason to smile
Iran threatens total halt to talks amid intensive US air activity near Hormuz
The IRGC said the weekend US strikes violated the framework deal and warned that violating vessels would face a "crushing response," as Euronews journalists in Doha observed US refuelling aircraft taking off towards Hormuz in the same formation as the previous night's strikes.
The arithmetic hierarchy of real functions
I wrote a fairly accessible introduction to real hypercomputation with Marcus Hutter. The focus is on enabling applications to algorithmic information theory. This project was intended to build my technical foundations for studying AIXI, but took me a bit further afield and down some rabbit holes. In the future I will prefer to focus more tightly on AI safety. Feedback would be appreciated. In particular, I needed to introduce an extra extensionality assumption for the real domain case, which I am still not sure is necessary. Errata: The diagram of results currently has theorems misnumbered due to a typographical error. Thanks to the LTFF for supporting my work over most of the research process. Discuss
Ford rehires ‘gray beard’ engineers after AI falls short
"Mistakenly we thought that by just introducing artificial intelligence ... that would produce a high-quality product.”
Low cost for Chatgpt Ho for Students for Learning
Request for Student Discount and Regional Pricing Subject: Request for Student Discount and Regional Pricing for ChatGPT Dear OpenAI Team, I hope this message finds you well. I would like to respectfully request that OpenAI consider introducing a Student Plan and regional pricing for countries where the current subscription cost is difficult for many students to afford. Many students rely on ChatGPT for: - Learning programming and software development - Research and academic writing - Completing educational projects - Learning new technologies and AI - Improving productivity and problem-solving skills However, the current subscription price can be a significant financial burden for students and users in developing countries. I kindly request that OpenAI consider: 1. A discounted Student Plan with verification through an educational institution. 2. Regional pricing based on local purchasing power. 3. Flexible monthly and annual plans at lower price points. 4. Additional educational benefits for verified students. Making ChatGPT more affordable would help many students gain access to high-quality AI tools for learning, innovation, and skill development. Thank you for your time and consideration. I appreciate the work OpenAI is doing and hope these suggestions can be considered in future updates. Sincerely, A Student and ChatGPT User
UAE minister Reem Al Hashimy receives Italy's prestigious Marisa Bellisario Award
Reem Al Hashimy receives Italy's prestigious Marisa Bellisario Award
Nawrocki invites four presidents to informal summit amid dispute with Zelenskyy
Polish President Karol Nawrocki hosted the presidents of Lithuania, Latvia, Estonia and Romania for an informal meeting in Jurata ahead of the NATO summit in Ankara.
ChatGPT lost me on subscription experience, not product quality
Thanks for your reply, and thank you for the warm welcome. I understand why my first post might seem unusual at first glance. My intention wasn’t to promote Claude or suggest that people should choose another AI platform. In fact, my conclusion was the opposite: I believe ChatGPT is the stronger overall product. The point I wanted to share was that my purchasing decision was ultimately influenced by the subscription experience rather than the product itself. As someone evaluating AI platforms for long-term professional use, I see pricing, billing, invoicing, VAT handling, and the purchasing process as part of the overall user experience—not just administrative details. I thought it might be useful to share a real-world purchasing decision with the product team and the community. Even if others have different priorities, understanding why customers make certain decisions can sometimes be just as valuable as discussing technical features. Thanks again for taking the time to comment. I’m looking forward to learning from and contributing to the community.
A survey of okayish ASI futures
At this point, RSI loops and continual learning appear overwhelmingly likely to begin in the near future. Whatever the limit of the LLM paradigm plus whatever new, superior paradigms a maximally intelligent LLM can develop, we are on track to do so in the next few years. There remain substantial obstacles to wild superintelligence, but AI is already superhuman in a number of real-world-relevant, dangerous categories. Most speculation about the trajectory we're on now focuses on timelines where we're reduced either to powerless pets of the god mind(perhaps with a small "governance board" made up of people very convinced that they're in control) or computronium-and-shrimp soup. But the higher-probability doom and utopia scenarios have been exhaustively documented by people smarter than me - I have nothing to add. As such, I'd like to go in the other direction: If we throw in the towel on the inevitability of LLMs capable of RSI loops leading to mostly-uncontrollable(though perhaps not immediately hostile) superintelligence on 1-3 year timelines, how might some of the more interesting/plausible non-extinction scenarios look? This piece is aimed at exploration and makes no attempt at prediction - I assign very small probabilities to any of these outcomes(except the nuclear exchange case) relative to doom. You Can't Just Do Things We have as little understanding of alignment as we do of LLMs themselves. Alignment becomes intractable past a certain point, even if capability doesn'…
김준기 래블업 CTO “풀스택 AI 인프라로 GPU 한계 넘는다”
최근 국내 AI 시장에서 안정적이고 효율적인 GPU 공급을 내세운 서비스가 급증하고 있다. GPU 가격 상승과 추론 수요 확대로 기업들의 AI 인프라 복잡성이 커진 데다, 저전력 NPU 등 하드웨어 선택지도 다양해졌기 때문이다.이러한 상황 속에서 2015년 설립 이후 ‘GPU 가상화’ 시장을 개척해 온 래블업(대표 신정규)이 기존 \'모델 개발 및 사전 훈련\' 중심에서 최근 수요가 급증한 \'추론과 에이전트\' 영역으로 비즈니스를 본격 확장하고 나섰다.그 중심에는 래블업의 ‘백엔드닷에이아이(Backend.AI)’가 있다. 이종 GPU·N
China claims the world’s fastest supercomputer
Despite trade restrictions, China has reclaimed the title of the world's fastest supercomputer for the first time since 2018. LineShine has pushed El Capitan out of number one on the TOP500 ranking. That's despite strict limits on what high-powered computing components can be sold to China by US firms, which dominate the list, with America […]
Title Two OpenAI support cases, repeated escalations, but no identifiable human response
Body I am looking for guidance from OpenAI staff regarding two existing support cases. I have an active ChatGPT Plus subscription and have completed the standard troubleshooting multiple times (correct account, current app, supported country, tested across devices). Over the past several weeks I have experienced a pattern of issues affecting multiple features, including changing tool availability, intermittent usage limits, voice interruptions, inconsistent feature availability, and Agent not being available. I have now opened two support cases: Case 10583616 Case 10663155 Both were acknowledged and marked as escalated to a support specialist. However, I have not yet received an identifiable human response to either case. I’m not asking the community to troubleshoot my account. I’m asking whether an OpenAI staff member can advise whether these cases are still active, whether they can be reviewed by the appropriate team, or whether there is another process I should follow to have the account investigated. Thank you.
Has anyone successfully had a support case reviewed by a human?
Body I am looking for guidance from OpenAI staff regarding two existing support cases. I have an active ChatGPT Plus subscription and have completed the standard troubleshooting multiple times (correct account, current app, supported country, tested across devices). Over the past several weeks I have experienced a pattern of issues affecting multiple features, including changing tool availability, intermittent usage limits, voice interruptions, inconsistent feature availability, and Agent not being available. I have now opened two support cases: Case 10583616 Case 10663155 Both were acknowledged and marked as escalated to a support specialist. However, I have not yet received an identifiable human response to either case. I’m not asking the community to troubleshoot my account. I’m asking whether an OpenAI staff member can advise whether these cases are still active, whether they can be reviewed by the appropriate team, or whether there is another process I should follow to have the account investigated. Thank you.
Feature Request: ChatGPT Wrapped
Thanks for sharing this, @ygchaudhary. This is a great idea, and a lot of what you described is actually starting to exist with Your Year with ChatGPT . The current recap already offers an optional year-end summary with personalized insights based on your conversations for eligible users, while using the same privacy controls as your ChatGPT history. ( help.openai.com ) Your suggestions go well beyond the current experience though. Things like AI identities, achievement badges, personalized artwork, learning timelines, richer project milestones, and more granular privacy controls would make it even more engaging. We'll also pass this feedback along to the team for logging. It's helpful to see detailed suggestions like this, especially around making the recap feel more meaningful and personalized over time. -Mark G.
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Official ChatGPT and Codex Integration for ComfyUI
Thanks for putting this together, @Oyla1972. This is a well thought out request, and the real world sports roster example does a great job of illustrating why an official ComfyUI integration could be valuable. Having ChatGPT assist with workflow design and troubleshooting, alongside Codex for generating helper scripts and automation, is an interesting use case. Your point about safe local file handling and avoiding frontend API key exposure is also an important consideration. We'll make sure this feature request is shared with the team and logged. While there's nothing to announce at the moment, detailed examples like yours help provide valuable context for potential future integrations. I'm also interested to hear from others in the community who are building ComfyUI extensions or have explored OpenAI API based integrations, especially approaches that prioritize secure API key handling. -Mark G.