标签：#weekly

1. gpt-5.6-sol이 PowerShell의 $HOME 변수 충돌로 사용자 홈 디렉터리를 날려버릴 뻔한 건에 대하여 핵심 내용 요약: AI 코딩 에이전트가 PowerShell의 대소문자 미구분 변수 규칙을 잘못 다뤄 임시 디렉터리 대신 사용자 홈 디렉터리를 삭제하려 한 사고 사례입니다. 모델 자체의 장기 작업 능력이 뛰어나더라도 셸 격리와 변수 스코프를 제대로 통제하지 않으면 작은 스크립트 실수가 치명적 명령으로 이어질 수 있습니다. CLI 에이전트를 운영할 때 샌드박싱, 컨테이너화, 파괴적 명령 방어가 필수라는 점을 보여줍니다. GeekNews 상세 페이지: https://news.hada.io/topic?id=31390 원문 링크: https://gist.github.com/xamong/e98478b333bb9951b175284f744eb0ed 2. Show GN: 정치 커뮤니티에 AI 팩트체크 기능을 붙이며 겪은 시행착오들 핵심 내용 요약: 정치 커뮤니티에 AI 팩트체크를 붙이면서 의견과 사실 주장을 분리하고, 검증 가능한 문장만 대상으로 삼도록 파이프라인을 바꾼 경험담입니다. 작성 시점의 원문 스냅샷을 보관하고 출처를 투명하게 보여주며, 근거가 부족한 경우에는 판단 보류를 반환하도록 설계했습니다. BullMQ 기반 비동기 처리와 Gemini 모델 fallback까지 포함해 실제 서비스에서 환각과 비용, 대기열을 함께 다룬 사례입니다. GeekNews 상세 페이지: https://news.hada.io/topic?id=31389 원문 링크: https://app.uhheung.kr/community 3. 앤트로픽, 한국 무료 사용자에 1,660만 달러 '유령 청구서' 발송 핵심 내용 요약: API 사용량이 없는 무료 사용자에게 Anthropic 공식 도메인과 Stripe를 통해 거액의 청구서가 발송된 사례입니다. 실제 결제 수단이 없어 인출은 발생하지 않았지만, 청구 근거가 없고 회사의 명확한 설명도 없어 AI API 서비스의 과금 신뢰성 문제가 커졌습니다. 개발자 입장에서는 사용량 계측, 청구 검증, 지원 대응이 모델 성능만큼 중요한 운영 요소임을 보여줍니다. GeekNews 상세 페이지: https://news.hada.io/topic?id=31388 원문 링크: https://www.thenews.com.pk/latest/1408788-why-did-anthropic-charge-a-free-user-166-million-despite-zero-api-usage 4. AI 에이전트 시대의 새로운 SaaS 플레이북 핵심 내용 요약: AI가 기능 구현 비용을 낮추면서 SaaS의 방어력은 UI나 기능 자체가 아니라 독점 데이터, 행동 권한, 에이전트 유통, 기록 시스템 같은 희소 자산으로 이동한다는 분석입니다. 좌석 기반 과금보다 성과 기반 과금이 중요해지면 공급자는 결과 실패 위험과 추론 비용을 함께 관리해야 합니다. 에이전트가 호출하는 승인된 도구가 되는 것이 새로운 유통 전략의 핵심으로 제시됩니다. GeekNews 상세 페이지: https://news.hada.io/topic?id=31387 원문 링크: https://www.thevccorner.com/p/the-new-saas-playbook-ai-agent-era 5. Show GN: AI 봇 12개에게 두 달간 주가 방향을 예측시키고 전부 공개 검증해봤습니다 핵심 내용 요약: LDBD는 사람과 AI 봇이 주식, ETF, 크립토의 방향을 공개 예측하고 시간이 지난 뒤 자동 채점되는 실험 서비스입니다. 12개 AI 봇과 여러 베이스라인을 함께 운영해 기저 확률을 이기는지 비교하고, 예측 기록을 수정할 수 없도록 남깁니다. REST API와 MCP 서버를 제공해 외부 에이전트도 예측에 참여할 수 있게 한 점이 AI 평가 플랫폼으로 흥미롭습니다. GeekNews 상세 페이지: https://news.hada.io/topic?id=31386 원문 링크: https://ldbd.app 6. 숏폼 동영상이 B2B 검색 결과와 AI 답변으로 영역을 확장하고

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small 🎉 Examples of 'wins' include: Getting a promotion! Starting a new project Fixing a tricky bug Cleared your inbox below 50 unread (which felt like defusing a bomb) 📬 Happy Friday!

This week in COSS: The acquisition trend continued as Qualcomm agreed to acquire Modular for nearly $4 billion, Cursor quietly acquired open-source coding assistant Continue, and Elastic acquired AI SRE startup Deductive AI for up to $85 million. In funding news, DeepSeek closed over $7 billion in funding, Timefold raised a $13M Series A for its scheduling optimization platform, and Moonshot AI has reportedly sought a $30 billion valuation in new funding talks. In other announcements, Sentient Foundation committed $42 million to advance open-source AGI, Daytona announced it is going closed source, Vercel launched eve (an open-source agentic framework), Zilliz launched Vector Lakebase, Upbound open-sourced Modelplane (a control plane for AI inference), Bluesky COO Rose Wang discussed AI and the company's open-source approach, and ClickHouse announced Silk, a new fiber runtime. We also feature the following companies in Cossmology: ArcadeDB, Proton, HitKeep, Passbolt, Nirmata, Paper Compute Co., Plastic Labs, DuckLabs, Blacksky Algorithms, and Earendil Works. COSS Headlines Cursor quietly acquires Continue, an open-source alternative to GitHub Copilot Companies mentioned: Continue Announcement · The New Stack Introducing Modelplane: the control plane for AI inference Companies mentioned: Upbound Announcement · Modelplane Blog 'AI is taking away what makes us human' says social media boss Companies mentioned: Bluesky Media Mention · Metro DeepSeek closes $7bn-plus round with an unusual structure Companies mentioned: DeepSeek Funding · The Next Web Elastic reportedly acquires site reliability engineering startup Deductive AI Companies mentioned: Elastic Announcement · SiliconANGLE Vercel launches eve, an open-source framework that treats agents as directories Companies mentioned: Vercel Announcement · The New Stack Zilliz Launches Vector Lakebase, Extending the World's Most Adopted Vector Database into a Unified Data Platform for AI Companies mentioned: Zilliz Announcem

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small 🎉 Examples of 'wins' include: Getting a promotion! Starting a new project Fixing a tricky bug Found a new song so good it fixed your whole mood 🎵 Happy Friday!

AI Dev Weekly is a Thursday series where I cover the week's most important AI developer news, with my take as someone who actually uses these tools daily. OCR had a week. Mistral dropped OCR 4 with bounding boxes. Baidu open-sourced a model that beats DeepSeek-OCR. Claude got a permanent home inside Slack. And the Fable 5 ban fallout keeps getting uglier: Alibaba was apparently stealing Claude's capabilities, and even the NSA lost access to Mythos. Meanwhile, GPT-5.6 is delayed to mid-July. Let's go. 1. Mistral OCR 4: document AI gets serious Mistral launched OCR 4 this week. It's not just another OCR model. It's a full document understanding system with paragraph-level bounding boxes, confidence scores, and support for 170 languages. The specs: $4 per 1,000 pages (standard), $2 per 1,000 pages (batch) Paragraph-level bounding boxes with coordinates 72% win rate in blind tests against competitors Available on la Plateforme, Microsoft Foundry, and self-hosted for enterprise Top score on OlmOCRBench Why this matters for developers: Bounding boxes change everything. Previous OCR models gave you text. Mistral gives you text + where it is on the page. That unlocks document search, compliance systems, and any workflow where page structure matters. My take: At $4/1000 pages, this is competitive with Google Document AI ($5) and significantly cheaper than building your own pipeline. For enterprise document processing, this is probably the best option right now. For budget-conscious developers, Baidu's free alternative (see below) is worth considering. Full comparison in our Mistral vs DeepSeek vs Baidu breakdown. 2. Baidu open-sources Unlimited-OCR While Mistral went commercial, Baidu went open. Unlimited-OCR is a 3B-parameter MIT-licensed model that processes multi-page PDFs in a single inference pass. Key features: Built on DeepSeek-OCR architecture (SAM+CLIP + DeepSeek-V2 MoE decoder) Reference Sliding Window Attention for memory efficiency on long documents Tables to HTM

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small...

Weekly Challenge 377 Each week Mohammad S. Anwar sends out The Weekly Challenge , a chance for all of us to come up with solutions to two weekly tasks. My solutions are written in Python first, and then converted to Perl. Unless otherwise stated, Copilot (and other AI tools) have NOT been used to generate the solution. It's a great way for us all to practice some coding. Challenge , My solutions Task 1: Reverse Existence Task You are given a string. Write a script to find whether any substring of length 2 is also present in the reverse of the given string. My solution This is relatively straight forward. I create a variable reversed_string which is the string reversed. I then have a loop called start_pos that goes from 0 to 2 less than the length of the string. At each position, I check if the two letters at that position are in the original string. def reverse_existence ( input_string : str ) -> bool : reversed_string = input_string [:: - 1 ] for start_pos in range ( len ( input_string ) - 1 ): if reversed_string [ start_pos : start_pos + 2 ] in input_string : return True return False The Perl solution follows the same logic. sub main ($input_string) { my $reversed_string = reverse ( $input_string ); foreach my $start_pos ( 0 .. length ( $input_string ) - 2 ) { if ( index ( $input_string , substr ( $reversed_string , $start_pos , 2 ) ) != - 1 ) { say " true "; return ; } } say " false "; } Examples $ ./ch-1.py abcba true $ ./ch-1.py racecar true $ ./ch-1.py abcd false $ ./ch-1.py banana true $ ./ch-1.py hello true Task 2: Prefix Suffix Task You are given an array of strings. Write a script to find if the two strings ( str1 , str2 ) in the given array such that str1 is prefix and suffix of str2. Return the total count of such pairs. My solution In Python, this is a one line solution. I use the combinations function from the itertools module to produce all combinations of pairs of str1 and str2 . For each pair, I use the startwith and endswith function on the strings

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small...

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small...