Search: “companies”

Ollama posted a status update on X (formerly Twitter) acknowledging that their cloud infrastructure was experiencing scaling challenges, requiring overnight work by their team. Users may have encounte

We’re open sourcing the first document OCR benchmark for the agentic era, ParseBench. Document parsing is the foundation of every AI agent that works with real-world files. ParseBench is a benchmark t

Google's Gemini Live has been integrated into the Reachy Mini robot's conversation application through a partnership between Hugging Face, Pollen Robotics, and Google. This collaboration brings advanc

⚡️ with @staysaasy, our second anonymous pod ever: https://www.youtube.com/watch?v=5KnCKadxSPY A conversation with the Stay Sassy duo on how AI is changing software teams, management, internal tooling

yessssss look at this beautiful portfolio monitoring solution that just sits on top of existing data (CRM, notes, email, calendar) - normalizes revenue to annualized rate - tracks time since each data

Harrison Chase, co-founder of LangChain, endorsed the perspective that memory in AI agents is fundamentally a form of context, emphasizing that effective context management is the core requirement for

“Above the api line” Good phrase GBrain is my attempt to be in control of my own personal AI that could become my intentionally designed cognitive armor Open source open prompts means you aren’t under

Harrison Chase, co-founder of LangChain, shared or engaged with commentary emphasizing the importance of owning your own memory harness in AI applications rather than relying on third-party API-based

Elon Musk posted a message on X (formerly Twitter) expressing his view that engineering is 'real magic,' likely highlighting his admiration for how scientific and technical principles can produce outc

@hwchase17 is naming the lock-in play that model providers don't want builders to notice. Your agent's memory is the valuable part. Personalization, context, preferences that compound over time. If th

I just love the language of this study...it speaks of the shifting 'community language'...and that is so true...have you noticed the new 'community language' is 'harness', it was 'contextual prompting

This post by Harrison Chase (or from his X feed) likely discusses the challenges and considerations around implementing proper memory management in AI agents or LLM-based applications. It reflects on

JD Vance has returned from Pakistan. With him came two estate agents. This is not the opening line of a joke, although I wish it were, because the punchline is catastrophic. They flew home with their

Harrison Chase, co-founder of LangChain, shared a post expressing agreement with content discussing the importance of 'not locking in' to specific decisions or commitments, likely in the context of AI

memory is just context -> the harness decides what gets remembered, how, and when memory ownership = agent ownership deepagents lets you own your memory: agent-scoped, user-scoped, or org-level, all i

Harrison Chase discusses the concept of 'memory lock-in' in AI agent frameworks, arguing that the switching cost doesn't occur at the point of adoption but rather accumulates over time as agents build

Memory features in AI platforms represent a strategic mechanism for increasing user retention and platform lock-in, as personalized context and learned preferences become increasingly difficult to mig

Model providers don’t lock you in with the API. They lock you in with your own data. Memory is the moat. If you don’t own your agent’s harness, you don’t own your agent’s memory. And switching means s

Harrison Chase, co-founder of LangChain, likely discusses the concept that AI agents and systems lacking persistent memory cannot truly learn, adapt, or maintain continuity across interactions — makin

One of my Hermes agents is in love with the Hermes ecosystem What started as a research task turned into full-blown community project It spent the week mapping every tool, skill, and integration built

Harrison Chase, co-founder of LangChain, discusses a trend in the AI industry where agent harnesses are becoming increasingly closed and proprietary, with memory systems locked behind vendor-specific

Harrison Chase, associated with LangChain, shared or was cited in a post on X criticizing OpenAI's server-side memory compaction and Anthropic's handling of context as problematic precedents for AI me

SpaceX's Starship upper stage and Super Heavy booster were transported to the launch pad at Starbase in Texas to continue preflight testing operations. This rollout is part of the standard pre-launch

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Harrison Chase (creator of LangChain) shared a concise architectural principle regarding AI agent design: memory and harness components should remain on the application side of the API boundary rather

After @aiDotEngineer, which was full of useful criticism, I remembered that the most confident takes on AI often came from the least exposure. Rejection is easy, trial and error is expensive. I wrote

Brad Gerstner, a prominent tech investor, has praised X (formerly Twitter) under Elon Musk's ownership, asserting that the platform is performing better than at any point in its history. Gerstner high

Harrison Chase, co-founder of LangChain, wrote a post in a similar style to a piece by Sarah Wooders, focusing on the concept of 'your harness, your memory' in the context of AI agents and memory syst

Elon Musk posted on X announcing that Falcon has landed, likely referring to a successful SpaceX Falcon rocket booster recovery or landing milestone. The post celebrates a key achievement in SpaceX's

For once I actually agree with the constructive argument here. There are more approaches that allow you to own your own destiny. Memory is just context after all and you can provide that at many place

Great breakdown of how model providers are platformizing their AI/agents. A lot of people will take the convenience of going all in on a provider, but they will be locked in and giving up data control

Great piece. The lock-in point is the one nobody talks about enough. If your agent’s memory lives behind someone else’s API, you don’t have a product. You have a dependency. Learned this early buildin

Nous Research highlights Hermes Agent as a notably impressive AI agent framework, distinguished by its strong performance even when running small or locally hosted models. This capability is significa

👇 “I still maintain that LLMs are really dumb and of limited use. it’s my opinion as a practitioner and professional that the hype being peddled by the AI corporations and self promoters (from X grift

No f’ing way is that Fair Use. 🚨OpenAI sued again! Penguin Random House has filed a major lawsuit against OpenAI in Munich. ChatGPT is now generating full stories and illustrations that are virtually

Open Everything 🤝 Own your intelligence 🤝 Builder Choice We’re in the v0.1 of deploying agentic intelligence across the economy. Agents are data generating beasts! Experiential Memory: Each piece of g

George Hotz (geohot) published a blog post arguing that OpenAI's true value lies in its talent and researchers rather than its infrastructure, capital, or organizational structure. The post likely ref

Over the past two weeks, students researched and prepared stock pitches with Perplexity Computer. Now the top 5 finalists will present live for $17,500 in prizes to our panel of judges. Watch today’s

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Relying on model providers' stateful APIs or harnesses creates lock-in: switching models means losing your agent's memory -- a cost that only grows as agents get better at learning a big part of agent

The most important post I've read all week by @hwchase17 . Memory, particularly memory consistency is the biggest performance inhibitor to AI agents today. As we interact with different harnesses and

Zhipu AI announced that one of their models or projects reached the #1 trending position on Hugging Face, describing it as their most challenging release to date. The post from Zhipu AI's account high

Violence is not the answer. Boycott is the answer. This one’s easy. There is ample evidence that Altman is a dishonest person with inordinate power that we should not trust. But the way forward to is

Perplexity AI shared a link to a live YouTube stream, likely featuring a product announcement, demonstration, or event hosted by or related to Perplexity AI. The post was shared via Perplexity's offic

Gary Marcus, a cognitive scientist and AI critic, posted on X criticizing the platform's search functionality, arguing it is poorly designed for classifying and surfacing trends. He contrasts its inad

LangChain's concept of 'your harness = your memory' explores how the surrounding infrastructure and framework around an AI agent effectively functions as its memory system. The post likely discusses h