Mercor. Claude Code. LiteLLM. ChatGPT.
Every major data breach this month happened because valuable personal data lived somewhere it shouldn't.
FRIDAY is built on a different principle - your data stays on your device. Always.
Enjoy a truly personalised AI and a better way to shop with no cloud storage, no exposure risk.
Centralised AI data is a structural risk and @AnthropicAI have now proved it with their own model.
The arms race for AI security has officially begun.
As the depth and value of consumer data continues to increase exponentially, the benefits in exploiting it expand to match.
We are entering a time where decentralised data stacks will become not only viable, but essential.
How has the Claude session limit bug not been resolved yet?
I've literally given 5 prompts today and now I have to wait 4 hours until I can use it again - @AnthropicAI you're better than this...
RT @fridayresearch_: Very troubling times for @mercor and their users - we hope for everyone involved that this gets resolved with no ma…
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We're building FRIDAY - Personal Intelligence for shopping.
Its a personalised all-in-one AI shopping platform that learns your taste as you use it from purchase history and browsing activity. Its secured on device so you stay in control of all your data.
Would love any feedback from this community, we'll be releasing beta in a couple of weeks.
Founders - whats your current approach to marketing vs launch?
Are you doing a lot of marketing for your project/app pre-launch, or waiting until people can actually use it before turning on the distribution taps?
Neil* retweeted
Today I'm sharing a new paper on user-governed Personal Intelligence.
The central question: as AI systems move from recommending to acting, who governs the representation of what a person wants?
This is the theoretical foundation of what we've been building.
Our co-founder @GabrielAxel just published the academic framework that qualifies the problem FRIDAY solves - user-governed Personal Intelligence, the TasteGraph, on-device preference learning, zero-knowledge architecture.
Personal preference intelligence is the next critical infrastructure layer of the internet, and it needs to be built on user governance from the ground up - not retrofitted onto existing platform models.
Read the full thread and linked paper 👇
FRIDAY Development Update
Over the last week we made a significant upgrade to how the LLM understands what you're actually asking for.
Previously, FRIDAY used pattern matching to interpret search queries, which experienced some limits with context and nuance.
We've replaced it with a GPT-4o powered intent parser for the MVP. Now when you type anything into FRIDAY, it understands:
- What you actually mean, not just what you typed
- Which brand you're referring to, even indirectly
- Whether your budget is a hard limit or a rough guide
- The full context of your conversations
The results speak for themselves. 12/12 test queries parsed correctly. Zero downtime risk - the old system stays as a fallback.
In plain terms FRIDAY just got significantly smarter at understanding you.
The MVP is getting closer, secure your spot👇
Its mad seeing what people are building with AI. It feels like crypto a few years ago in a lot of ways.
Most are competing for the same (albeit growing) cohort of people that are already somewhat embedded in the AI ecosystem;
- AI CMOs for vibe coders to launch their latest app.
- AI LinkedIn content generators for AI founders.
- AI tools for training AI models (no joke).
Thing is, mass adoption only come from onboarding people from outside of the bubble.
Whose out there building products that will bring new people in?
Mega - even the UK government sees the opportunity right now.
Introducing Sovereign AI, the Government’s new £500m venture fund.
Sovereign AI will support founders from day one to start here, scale here and win everywhere.
sovereignai.gov.uk
Neil* retweeted
"Onboarding to crypto has become so seamless"
Oh, really?
- User enters crypto
- Has 100 USDC on Arbitrum
- Wants to try an app on Solana → no ETH on Arbitrum for gas
- Buys ETH with a credit card, wrong chain, he bought ETH on Ethereum
- Tries again, buys ETH on Arbitrum, pays the fee, bridges to Solana
- Wants to make a transaction → no SOL for gas
Leaves crypto forever.
This is wild.
Qwen 3.5 running fully local on an iPhone 17 in AIRPLANE mode... 🤯
No subscription. Nothing leaves your device.
AI subscriptions just became optional.
The new Qwen 3.5 by @Alibaba_Qwen running on-device on iPhone 17 Pro.
Qwen 3.5 beats models 4 times its size, has strong visual understanding, and can toggle reasoning on or off.
The 2B 6-bit model here is running with MLX optimized for Apple Silicon.
Neil* retweeted
Trying to get OpenClaw agents to do useful work is like trying to win at trading crypto - only the top 1% win.
The rest of us end up being the lobster meat for the host in the shell.
OpenClaw agents are terrible at executing complex multi step processes that require delegation.
I spent about 40 hours last week creating a framework for delegation, standards, accountability, workspace hygiene, commit cadences, capability logs and defining project success.
Using all of this I spent 3 hours getting to an extremely well baked “definition of done” for a project to transcribe 200 hours of video content and make it into a semantic searchable knowledgebase.
3 phases, ~10 steps each phase.
Clear outcome, clear success cases, clear failure modes, OpenClaw owns the process of doing.
Today I am back micromanaging my agent, logged 10 or 15 regressions and generally have frustrated myself into a state of high stress.
Constant failure. Fail after fail after fail. 2 steps forward 1 step back. It’s a fucking slog getting any real work done.
But the alternative is it just doesn’t get done.
I was under an illusion that Agents can autonomously do things for you.
Nope.
They are a tool.
By installing openclaw you are creating a massive workload for yourself.
It’s not like how the fantasy threads on here make it seem.
I need to level-set my expectations on this tool.
200k context window = it forgets 80% of your processes multiple times a day.
Regressions are as common as successes.
I’m almost convinced all these ppl getting huge views on here have either:
-no personal lives
-tech teams helping them run their setup
-just plain lying
Or I’m just retarded.
Neil* retweeted
Be like Sam Altman
> runs YC
> starts a open-sourced non profit to regulate ai & protect humanity
> raise money for non profit
> use that money to build a closed source AI
> create a new for profit company
> raise money & kick out existing investors
> use our data for ads in ChatGPT
> go on the news and stand up for Anthropic against US gov
> 24hrs later sign a deal with US to do exactly the opposite
Goodbye @ChatGPTapp 👋
Yesterday we reached an agreement with the Department of War for deploying advanced AI systems in classified environments, which we requested they make available to all AI companies.
We think our deployment has more guardrails than any previous agreement for classified AI deployments, including Anthropic's. Here's why: openai.com/index/our-agreeme…





















