What breaks first when you switch providers? Usually the client assumptions: base URL, headers, model IDs, payloads, streaming, or errors. Audit those before changing the workflow. #OpenAICompatible #AIDev https://temprhq.io/providers

What breaks first when you switch providers? Usually the client assumptions: base URL, headers, model IDs, payloads, streaming, or errors. Audit those before changing the workflow. #OpenAICompatible #AIDev https://temprhq.io/providers
REMINDER: Heute Abend .NET User Group Meetup in Dornbirn mit Thema MCP! Wird ein super Vortrag, einfach vorbeischauen, mitdiskutieren. #developer #dotnetdev #vlbg #aidev #developer #event
XML. It's old school, flexible, and mad useful in AI development. If you need to take control of Claude's thinking and behavior, there's an XML tag for that.
New video: take control of Claude with XML. youtube.com/shorts/hsVGE... #xml #tech #aidev
What happens after your model eval? Write down the provider, model, task, price, fit, and key-storage notes before the result disappears into a doc. Tempr helps you gather the provider details. #AIDev #LLMOps https://temprhq.io/providers
What gets lost when an IDE workflow moves to a terminal? Usually the provider, model, key owner, or storage details. Document those before handing it off. Tempr supports the same provider key across both surfaces. #AIDev #DevTools https://temprhq.io/providers
A provider can fit your model needs and still fail your workflow. Compare model fit, pricing, storage responsibility, and recovery effort before choosing where a key will be used. #AIDev #LLM https://temprhq.io/providers
A provider can look like the right default until pricing changes the decision. Compare model pricing across providers in TemprHQ, then bring the chosen key into your team’s IDE, terminal, or API. #AIDev #LLMOps https://temprhq.io/providers
The deeper question: when do local patches become a fork you never meant to maintain? And when upstream ships a breaking change, what actually saves you? Stash-and-pray, fork-and-freeze, or something better? #DevTools #AIDev
Short: Sovereign AI Dev Platform — angle 1 "Most people don't know Sovereign AI Dev Platform can handle 427M+ LOC local memory, sub-5ms AST search, and zero cloud leakage. Part of Outset sovereign stack. #SovereignAI #AIDev"
Пекин ответил на призыв генерального директора Anthropic ограничить развитие ИИ в Китае
Министерство иностранных дел Китая, отвечая на вопрос о статье Амодея, заявило, что все стороны должны сотрудничать в области ИИ.
Beijing Hits Back at Anthropic CEO’s Call to Curb China’s AI Development
China’s Ministry of Foreign Affairs responded to a question about Amodei’s essay by saying that all parties should work together on AI.
Altman Considers Slowing Down AI Development
Sam Altman indicated at OpenAI that the company is willing to slow AI development alongside other major research labs. This comes amid growing concerns about the increasing capabilities of AI systems. Recent…
Альтман рассматривает возможность замедления разработки ИИ
Сэм Альтман в OpenAI заявил, что компания готова замедлить развитие ИИ вместе с другими крупными исследовательскими лабораториями. Это происходит на фоне растущей обеспокоенности по поводу возрастающи…
East Asia has kanji, and Europe has icons. Today, we often simplify sophisticated ideas so that almost anyone can understand them. Ancient thinkers had a different task: they had to create the foundations of thought from limited understanding.
#solodev #codex #ChatGPT #AIGameDev #AIDev
The End of Prompt-and-Hope AI Development
Discover why prompt engineering is ending and how Inference-Time Scaling, GraphRAG, and deterministic agent orchestration are shaping the future of enterprise.
Конец разработки ИИ по принципу "запрос и надежда"
Узнайте, почему инжиниринг подсказок подходит к концу, и как масштабирование во время вывода, GraphRAG и детерминированная оркестрация агентов формируют будущее предприятий.
Developer log 3 is out now on my Substack and covers my ideologies for this project. These are the things that I have to always keep in mind when writing their code. Or considering new tools to add.
Anthropic Researcher Resigns With Warning About the Dangers of AI Development
Both Anthropic and OpenAI have seen high-profile resignations in recent years that were tied to safety concerns.