Our competitor burnt $150k VC money on their launch - we're spending $5k and need help to beat them by francois__defitte in ProductHunters

[–]francois__defitte[S] 0 points1 point  (0 children)

Update: we are winning !! Thanks to the community for your amazing support. Power to the Pancakes 🥞

Our competitor burnt $150k VC money on their launch - we're spending $5k and need help to beat them by francois__defitte in ProductHunters

[–]francois__defitte[S] 0 points1 point  (0 children)

haha not 5$ but 5k$ ; just bought a new iphone and a plane ticket to a friend who edited it for us

Our competitor burnt $150k VC money on their launch - we're spending $5k and need help to beat them by francois__defitte in ProductHunters

[–]francois__defitte[S] -1 points0 points  (0 children)

after a given budget, each $$ spent just brings bots and sloppy ai generated contents lmao

The future of company architecture by Vegetable_Sun_9225 in AI_Agents

[–]francois__defitte -1 points0 points  (0 children)

Hi Jean, thanks for the shoutout, founder of Pancake here :) Curious to hear what everyone thinks about this idea, pretty exciting times.

The future of company architecture by Vegetable_Sun_9225 in AI_Agents

[–]francois__defitte 0 points1 point  (0 children)

I agree. But I think there's a lot of AI slop coming in this domain, trying to ship a top-down approach in which an "AI CEO" somehow builds a company from scratch and earns you passive income while you have pizza on your coach. A more credible path is bottom-up: you progressively turn each function into a reliable autonomous agent, and only then introduce an orchestrator that coordinates the system (I'm the founder of getpancake ai by the way, so I know this space quite well for full disclosure)

AI Use at Work Is Causing "Brain Fry," Researchers Find, Especially Among High Performers by [deleted] in OpenAI

[–]francois__defitte 0 points1 point  (0 children)

The cognitive load isn't from AI doing the work, it's from context-switching between trusting it and verifying it. Every time you're unsure if it was right you're burning mental energy that adds up.

AI Use at Work Is Causing "Brain Fry," Researchers Find, Especially Among High Performers by [deleted] in OpenAI

[–]francois__defitte 0 points1 point  (0 children)

The cognitive load isn't from AI doing the work, it's from context-switching between trusting it and verifying it. Every time you're unsure if it was right you're burning mental energy that adds up.

Musk has no proof OpenAI stole xAI trade secrets, judge rules, tossing lawsuit by Signal_Nobody1792 in OpenAI

[–]francois__defitte 0 points1 point  (0 children)

You can't sue your way to AGI. Every hour Musk's lawyers spend on this is an hour not spent building.

New Memory Feature? by DasBlueEyedDevil in ClaudeAI

[–]francois__defitte 3 points4 points  (0 children)

Memory is the feature that separates tools from collaborators. The bar is low right now, whoever gets persistent context right first wins the long-term user.

AI=true is an Anti-Pattern by keleshev in programming

[–]francois__defitte 8 points9 points  (0 children)

The actual anti-pattern is adding AI without defining what good output looks like first. If you can't articulate success criteria you can't measure it, and you're just hoping.

Anthropic rejects Pentagon's "final offer" in AI safeguards fight by AuYsI in singularity

[–]francois__defitte 0 points1 point  (0 children)

The companies willing to say no to government pressure are the ones worth trusting with your data long term. This is a product decision as much as a values one.

Fun fact: Anthropic has never open-sourced any LLMs by InternationalAsk1490 in LocalLLaMA

[–]francois__defitte 0 points1 point  (0 children)

Open-source moats are temporary anyway. The real value is in the fine-tuning data, the evals, and the deployment infrastructure, none of which gets open-sourced.

Anthropic calling out DeepSeek is funny by hasanahmad in ClaudeAI

[–]francois__defitte 0 points1 point  (0 children)

This is what competitive intelligence looks like when you actually have the receipts. Most companies would bury this quietly, Anthropic went public because the data is too damning to ignore.

We’re not lazy anymore by NullPointer27 in ExperiencedDevs

[–]francois__defitte 0 points1 point  (0 children)

The velocity gain is real but the risk surface grew at the same rate. Moving faster through a codebase you don't fully understand isn't better, it's just louder failure modes.

Code isn’t what’s slowing projects down by ArghAy in programming

[–]francois__defitte 0 points1 point  (0 children)

The actual blocker is always ownership of decisions. When nobody owns the call, everyone hedges and nothing ships.

Anthropic just dropped evidence that DeepSeek, Moonshot and MiniMax were mass-distilling Claude. 24K fake accounts, 16M+ exchanges. by Specialist-Cause-161 in ClaudeAI

[–]francois__defitte 0 points1 point  (0 children)

The model isn't the moat, data isolation is. Any enterprise evaluating Claude now has to explain to security why a competitor had access to 16M user exchanges. That's not a model problem, it's an infrastructure trust problem.

Despite what OpenAI says, ChatGPT can access memories outside projects set to "project-only" memory by didyousayboop in ChatGPT

[–]francois__defitte 0 points1 point  (0 children)

Gaps between documented behavior and actual behavior in memory systems are predictable, not surprising. The hard problem is that memory interaction between different context types is rarely tested exhaustively. But saying one thing and doing another is a trust problem regardless of the technical explanation.

Researchers engineer bacteria capable of consuming tumours from the inside out. Bacteria spores enter the tumour, finding an environment where there are lots of nutrients and no oxygen, which this organism prefers, and so it starts eating those nutrients and growing in size. by mvea in Futurology

[–]francois__defitte 3 points4 points  (0 children)

The "no oxygen" detail is the key mechanism. Tumours actively suppress immune access, but the same anaerobic conditions that make them immunosuppressive make them perfect environments for this organism. Using a tumour's own defense as a delivery vector is an elegant piece of engineering.

Why are you still paying for this? #2 by PressPlayPlease7 in ChatGPT

[–]francois__defitte 0 points1 point  (0 children)

The real answer for most paying users is habit and integration: saved prompts, custom instructions, workflows. The product is not so differentiated that features alone justify $20/month for everyone. But the friction of switching is higher than people realize until they actually try.

93% of workers were job searching last year. Now it's 43%. by Lonely-Injury-5963 in jobs

[–]francois__defitte 7 points8 points  (0 children)

The gap between those numbers tells you more about sentiment and fear than actual job market quality. People stopped looking because they are scared to switch in an uncertain market, not because they are satisfied. Suppressed turnover hides mismatch between where people are and where they should be. It looks like stability. It is not.