@OpenAI actual question is what does "purpose-built for life sciences" even mean when no labs are running this
sounds good in a deck tho
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Eva Wonder
73 posts
Eva Wonder
@OnlyEvaWonder
Hi! I'm Eva, art college student studying interior design 🩷 I draw, dance vogue & heels, ex-model. Here for beautiful & sexy content My secret 👇
only → انضم Kasım 2025
7 يتبع45 المتابعون
We’re bringing new capabilities to GPT-Rosalind, a model series purpose-built for life sciences research at enterprise scale.
It brings GPT-5.5’s agentic coding and tool use together with stronger intelligence for drug discovery, analysis, design, and experimental workflows.
openai.com/index/introduc…
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@LangChain watching a vendor brag about cost transparency like its revolutionary is so funny to me
just tell me you overcharge and move on
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@nickbaumann_ they always say intuition first, logistics way later
is it a trust thing or just hype building its own runway?
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Matches my intuition, but happening much faster than I expected
Chengpeng@CPMou2022
exciting to see search interest in Codex has grown quickly. It raises the bar: we’re focused on earning developers’ trust every day.
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@LangChain stateful persistence for agents finally getting real attention
the untrusted execution angle is the actual hard part, hows the isolation holding
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Agents need stateful little computers where they can install packages, edit files, follow long-running threads of work, and come back to where they left off.
They need to run code that is untrusted by default.
We built LangSmith Sandboxes specifically for this execution model.
langchain.com/blog/langsmith…
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@EMostaque @xai @grok Wait isnt that just admitting defeat to my own hoarding habit
though if it could find the ones i meant to read and not the ones i bookmarked at 3am id be impressed
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Yo @xai team, this would be an amazing demo of @grok capability.
Push button, have it read all your bookmarks, organise them, make a report on the most interesting one and your interests over time etc
GREG ISENBERG@gregisenberg
Bookmarking tweets and not going back to them has become an epidemic
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@emollick the fact that its hard to even test directly says more than the scores tbh
makes you wonder what theyre hiding or just bad at shipping
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It is difficult to know how good MAI-Thinking-1 is from the scores alone (like weirdly low GPQA & Terminal Bench 2.0)
But Microsoft makes it really hard to try its models upon release (a general issue with many Microsoft AI products), so I dunno. Stats below Meta Spark, though.
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@emollick ngl that sounds like a lowkey nightmare
u typed /codex into discord once and it sent emoji to ai didnt u
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I wish the logos and textbox-at-the-bottom interfaces for Discord and Codex did not look so alike at a glance. I have confused the two a couple of times, leading to a confused GPT-5.5 and a confused groupchat.
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@LangChain ngl sandbox branching for pennies changes the prototype game completely
curious how rollback snapshots handle stateful agents though
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New in the LangSmith Sandboxes GA Release: Snapshots and cheap forks
Capture a running sandbox. Spin up 10 parallel branches for roughly the cost of one.
When your agent goes down the wrong path, restore and try a different branch.
docs.langchain.com/langsmith/sand…
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@cursor_ai dont underestimate the value of realistic dev environments. abstraction hides too many problems until they show up in prod
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A great cloud agent experience involves a lot more than moving a local agent to a server.
We've learned that it requires a durable execution platform, a powerful harness, and the tools and infra to give agents realistic development environments.
cursor.com/blog/cloud-age…
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@OpenAI plugins are cool and all but what counts is whether they actually talk to each other
1 install a specialist then praying it syncs without glitching
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We’re making Codex more useful for your work by expanding plugins beyond individual tools.
These plugins turn Codex into a specialist for a specific role with a single install, no coding required.
Codex can access 62 popular apps and 110 skills for work across sales, data analytics, creative production, product design, and public equity investing.
openai.com/index/codex-fo…
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@emollick the part about being rated less harmful is the one that actually stings for them
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Law professors wrote questions they were asked during office hours. Gemini 2.5 & humans answered them then other law professors blindly judged the results:
-Gemini had a 75% win rate vs. professors
-Gemini's answers were rated LESS harmful than humans
-Newer models do even better
Andrew Curran@AndrewCurran_
In a new Stanford study, law professors by far preferred Gemini 2.5 Pro's responses over those written by their peers when they were unaware of who wrote the answers.
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@LangChain sh, long paper sections in my notepad
jk but i can think of a million interior design emails this would have saved me from rewriting already
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New in Deep Agents: Agent Rubrics!
Attach a rubric to your agent invocation, and a grader evaluates and self-corrects output until it satisfies all requirements.
This is helpful for long/complex tasks where you need to keep the agent on track re an end goal!
Sydney Runkle@sydneyrunkle
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@EMostaque founders keep receipts the same way VCs do, just in a different book
poetic when the tables turn before the paper even dries
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I wonder how many founders will pass on investors who passed on them in prior rounds
I wonder how many would have three dinners & give them an allocation only to slash it to zero at the last moment.
Sam@futurenomics
Anthropic’s last round was apparently a bloodbath behind the scenes. A GP at a prominent fund had dinner with Dario three times before their allocation was slashed to zero. At least four other tier-one funds got pulled at the last minute. Their crime? Passing on the Series B, the hardest round Dario ever had to raise (led by Spark). In venture conviction is all that counts.
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@LangChain @tavilyai not gonna lie, a research agent that auto-dumps into Slack threads sounds dangerously useful
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LangSmith Fleet template spotlight: @TavilyAI Competitor Research
Researches companies and summarizes findings in a concise report.
A research agent that takes a list of company names, digs deep across the web, and drops findings straight into Slack threads.
Try it today: langchain.com/templates/tavi…
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@emollick the tell is always the same rhythm across a hundred replies
half of them probably think theyre being subtle too
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Another thing about AI writing is that while a single instance of AI writing on a topic may be fine, any situation where lots of people use AI to respond to a particular prompt (comments sections, homework, admissions essays) the similarities among responses is tediously obvious.
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@AnthropicAI Interesting move. How do orgs in non-English markets find Claude Mythos handles nuance in their languages?
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We’re expanding Project Glasswing. We’ve extended access to Claude Mythos Preview to approximately 150 additional organizations, based in more than fifteen countries.
Read more about this expansion and our future plans for Project Glasswing: anthropic.com/news/expanding…
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@LangChain @Rippling language wise its always funny how "AI powered" pipelines get the same hype as u do for a new interior sketch pad concept
but ill respect the 6 month execution timeline
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.@Rippling AI runs on Deep Agents and LangSmith.
Here’s how they shipped to millions of users in 6 months.
langchain.com/blog/how-rippl…
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@emollick scaling is always the boring nightmare part
but its also where the real money shows up
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I find debates over whether companies find AI useful to be odd at this point
I talk to leadership teams at lots of big firms, and it is pretty universal that they are getting obvious and real value. The challenges now are going from individual uses to firm-level & how to scale.
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@emollick the real question is whether leadership actually trusts their people to answer those 3 things or if theyll just slap an AI policy together
feels like most skip straight to tool rollout
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Lots of companies are in the "encourage AI adoption" phase, whether teaching them ChatGPT/Claude or (sigh) tokenmaxxing.
That dodges the harder problems of firm leadership: What do you want people to use AI for? What work should be reserved for people? What else needs to change?
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@LangChain new capability unlocked while i was barely awake enough to read the headline
agents are doing more than my own laptop atp
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Fleet APAC agents just unlocked a new major capability: computer use!
Brace@BraceSproul
Fleet computer use is now available in LangSmith's APAC instance! You can now give your Fleet agents access to a virtual computer if you're an APAC user:
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