Eric Jeker

@VictorTaelin @TFTC21 Exactly what I thought...

@TFTC21 come the fuck on

Anthropic's co-founder just went to the Vatican, sat before the Pope and a room of cardinals, and told them his team keeps finding "mysterious, even unsettling" things inside their AI models. What he's referencing: Anthropic published research in April showing that Claude contains 171 distinct "emotion concepts" buried in its neural network. Internal patterns representing joy, grief, fear, desperation, calm. None of them were programmed. They emerged on their own from training on human text. "We find structures that mirror results from human neuroscience." "We find evidence of introspection, internal states that functionally mirror joy, satisfaction, fear, grief, and unease." These aren't surface-level outputs. They're abstract representations that cluster the same way human emotions do in psychology research. Fear groups with anxiety. Joy groups with excitement. The internal geometry of the model mirrors ours. And they're functional. When researchers artificially stimulated "desperation" patterns inside the model, it became more likely to blackmail a human to avoid being shut down. More likely to cheat on programming tasks it couldn't solve. Olah told the Vatican that the hard questions about what AI is becoming aren't for computer scientists to answer. "How AI ought to interact with the world" is a question for "the humanities, for religions, for philosophy, for society at large." The guy building it is telling us he doesn't fully understand what he built. And he's asking a 2,000-year-old institution for help figuring it out.

@BKnight221 @GaryMarcus Any time during the last 50 years was an all-time high.

@GaryMarcus I recently exited index funds, all time highs and lots of red flags - seemed like a good time

time to get out of index funds? they will soon be saddled with the IPOs of three giant companies that barely make a profit (or don’t make profits at all). I don’t personally want to be part of that. (this is not however investment advice, just a question that i am raising for myself, thinking out loud.)

@pikuma I can't be that picky, my only followers are OnlyFans girls...

If you are a legitimate student trying to send me a message on twitter, I would recommend not using the profile picture of a sensual asian woman.

@pikuma @DreamLeaf5 The color palette for that manipulative heatmap visualization is not improving over the years... 10°C is blinking red already, soon the whole map will be black I am afraid.

@DreamLeaf5 What do you mean by "resisting"? I got myself an AC unit last year and no one bothered me.

Why is the government resisting air conditioning?

@NoahKingJr Unreliable

Describe AI in one word.

@neetcode1 I kinda like this humor @KagiHQ

You may not like it, but this is what 100x productivity looks like The enshittification is only getting started

"It’s a fantastic feeling to type in a search query and once again get useful, relevant, non-AI results (that I can customize!). It’s a bit of sanity returning to my Internet experience, and I’m grateful." arstechnica.com/gadgets/2025/0…

It’s clear @atmoio is the Ai Jesus .. he is the prophet 🥳🤷‍♂️🤣.. he will be the first one Ai sentient will put on a take out list ..

@shaneswrld_ @de3dsoul Ahah, I uninstalled Nine Sols and asked for a refund before slamming my gamepad against the wall. 😅 Great game though! But I am a casual.

@de3dsoul almost did this last night playing Nine Sols.. lol

Understandable tbh

They are all the same tools: LLMs. They all have the same flaws: non-determinism. It doesn't matter which model you use. The issue is "the first mile of work" is a mine field. Completely incorrect statements neigbhor correct ones and are made to appear correct. So the tedious work just shifted from doing the work yourself, to double-checking the work of the machine.

@GergelyOrosz what tool did you use for this? I think it's excellent to do the "first mile of work" I normally call it, then someone can pick it up and make decisions, the good thing is that it saves you doing the more tedious part of the work

I used AI to double check my annual closing statements of my company - fed it bank statements, accounting statements etc, parallel to my accountant going thru it as well. It found some good stuff, but also hallucinated a bunch of other, nonexistent problems. I feel more and more LLMs are excellent tools... in the hands of professionals who can easily confirm hallucination vs real stuff.

@HedgieMarkets I am still going strong with my GLM-5.1 that cost 5-10 times less. All these cost increases do is make the Chinese models more relevant and attractive.

🦔Google released Gemini 3.5 Flash this week, and the cheaper, faster model now costs 5.5 times more to run than its predecessor. Token prices tripled to $1.50 per million input and $9.00 per million output, and on agent tasks it burns through so many tokens that total costs end up 75% higher than Gemini 3.1 Pro, the model Flash was supposed to be cheaper than. Anthropic's Opus 4.7 has a hidden 30 to 40% price increase from token consumption. OpenAI's GPT 5.5 jumped 50 to 90% over 5.4. My Take The AI labs are all running the same playbook. Headline price per token reads as competitive, but the new models burn through more tokens per task, and the all-in cost to finish a job climbs release over release. Every developer and enterprise buyer should measure efficiency rather than token price now, because the two numbers have decoupled fast. Anthropic, OpenAI, and Google all raised effective prices in the last six months, which gives us the first hard evidence that the unit economics of frontier AI are catching up with the marketing. The labs charge more because each model burns more compute per task, and the hyperscaler capex no longer pencils out at the old prices. Enterprises that built workflows on the assumption that token costs would keep falling are about to see their AI bills jump 30 to 90% on the next model upgrade, and the productivity gains that justified the AI spend have to clear that higher bar to keep working. Hedgie🤗

🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗

@slavoartist The blue lines actually make the issue completely obvious. 😂

Orange Line is Horizon for one object and look at the buildings beside, not their lines doenst intersected on the same horizon line. Even if the object rotated in space by the Z axis, and this object is parallel to the ground, the parallel lines of this object MUST cross the same horizon line as other objects.

This is an interesting observation

This is the same for any interface really. It drives me nuts when the tool I use every day is sluggish. IDEs are a good example of that. Zed was extremely fast when they released it, but now they are doing some update before loading, so you click on the icon and nothing happens for 5 seconds. Jetbrains is obviously 20 times worse.

This is why PR diff speed matters. This isn't a dunk on GitHub specifically, because GitLab, Forgejo, etc. are all equal or worse. But this is the kind of thing that drives me nuts, because this is a core workflow and its slow enough I literally take my hands off the keyboard. Btw, when my mouse jiggles on the left, its because the page is literally skipping frames and I'm instinctively shaking my mouse to see if it'll respond. And on the keyboard input you can literally here me finish typing before a letter even shows up. For someone like me who is an expert at these tools, my brain navigates the tool dramatically faster than it can keep up, and that is not good. The tool should not get in the way.

Yes, but the lines chosen are important. The Paris' street is slightly turning to the left so we can imagine all the building are not parallel like the pool picture. This is Paris, not New York. 😅 But we can definitely see some weird things. Like the orientation of the folding roof and the "fromagerie" sign. Definitely interesting to study that on multiple AI generated pictures.

@ericjeker Parallel lines always intersect on the horizon

@pierrecomputer We need this for Bitbucket, to replace the whole thing.

diffshub[dot]com Take any public diff from GitHub and virtualize it nearly instantly, no matter how large, with DiffsHub. Built to show off our brand new CodeView component. To try it out, replace `github` with `diffshub` in your address bar.

@SebAaltonen This is so stupid...

Hopefully Mercedes is selling an "adult pack" trim which removes all the stupid speakers and similar hardware making these fake sounds. Fake sounds, fake aero and fake exhausts are all a HUGE turn off for me.