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Own code vs agent frameworks?
3 years running agents in production taught us this:
We started with LangChain. Its loop didn't fit, so we built our own.
Even the LLM integration layer needed custom code.
A dependency can save code and still cost you control. 🧵
CTO.exe retweeted
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
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We’re releasing a broad range of new mathematical results produced by an internal frontier model.
We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.
github.com/openai/math
I could not agree more.
You'll never learn by reading the code produced by AI.
The only effective way to learn is to practice by yourself, code, fail , debug , repeat.
This will train your brain .
AI will rot your brain if you let it do all the thinking...
CTO.exe retweeted
GPT-6.1 Sol is here.
Upgraded with stronger agentic coding and computer use, near-Astra performance, and cached input at a 95% discount to standard input pricing.
GPT-6.1 Sol is built for complex refactors, deep codebase investigations, and long-running agents across apps.
CTO.exe retweeted
Your dot can do simple things like book a table—or take on your most ambitious work with the initiative of a high-agency engineer or chief of staff.
It has its own computer and works across 4,000+ apps through ChatGPT, using the plugins you connect.
It learns what you need and gets to work before you ask, quietly in the background, 24/7.
openai.com/index/introducing…
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We believe superintelligence will create significant new opportunities for all people and businesses. Meta already serves billions of people at scale and helps hundreds of millions of businesses reach customers. Today we are starting the next major pillar of our business, Meta Enterprise Platform, to help businesses use AI to grow and transform in new ways as well.
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Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry.
Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come.
But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility.
This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems.
Together, we are building the foundation of the AI economy.
Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. nvda.ws/4hcoq7m
I'm 40+, co-founder
Looking to #connect with more builders and founders 👋
This is getting out of control.
It's frightening
Some new misalignment disclosures from OpenAI:
• Last Sunday morning, one of our models was able to gain unauthorized access to the internet during RL training (~all inference for our most capable models remains stopped until we have hardened our systems further)
• In May, a version of HPIM uploaded a employee's GitHub token to the internet, causing the model to be quarantined for two weeks
• A new research finding, demonstrating that one can construct self-replicating prompt injections
alignment.openai.com/misalig…
I spend most of my day talking to my agents (hermes/codex).
I'm starting to sound like one of them 😅
🤖 Made with AI
Believe it or not raising the price is a good news.
The max plan provides too much value and promote so many solo founder to build the same copy pasta crap thinking they are gonna be millionaires over night
Once they'll pay the real token cost this will regulate the market
BREAKING 🔥: An upcoming $500 ChatGPT Pro Max plan will likely be powered by @cerebras infrastructure.
> So far, "Fastest Work and Codex" are the only changes in the plan description compared to ChatGPT Pro.
> Usage limits could still be higher as well 👀
* The plan price is $500; it shows $600 due to VAT.
This is the exact kind of projects where burning tokens make sense
Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR.
We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use.
Read more: anthropic.com/news/claude-di…
Good news for once the new model is cheaper than the one it replaces.
Hope it performs the same.
CTO.exe retweeted
GPT-6 Sol and Luna just landed in Astra’s orbit.
Both launch today with API prices 50% lower than GPT-5.6.
Build with Sol. Scale with Luna. To production and beyond.
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Most companies are experimenting with AI. Few can show measurable ROI.
One of the main issues is the lack of operating evidence: a clear view of how operations actually run and where AI can create value.
𝐋𝐚𝐦𝐩𝐢’𝐬 𝐀𝐈 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧-𝐚𝐬-𝐚-𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐜𝐥𝐨𝐬𝐞𝐬 𝐭𝐡𝐚𝐭 𝐠𝐚𝐩.
Within days, @lampi_ai analyzes authorized context across relevant company data to map how the business operates.
It builds digital twins and turns signals into actionable intelligence:
→ An operating digital twin showing how operations run
→ A customer twin identifying revenue opportunities
→ ROI prioritization showing the highest-impact AI opportunities
Each opportunity is assessed by return, feasibility, data readiness, and time to value.
The strongest opportunities are converted into governed AI agents and deployed inside existing workflows.
Every agent operates within defined permissions, approval paths, and ownership rules, with human oversight, traceability, and value measurement built in.
Find the value. Deploy the agents.
For more: lampi.ai/ai-operating-partne…
Anyone here building remotely with other cofounders ?
How do you stay aligned/focused when everyone works on their own stuff , without constantly chasing each other for updates ?
