chakintosh

https://killedbygoogle.com/

This also shows why Anthropic is just not ready for an IPO. This admin can pump or crash the stock with dubious decisions.

I have a stairlift to sell you.

Not even stairs, looks like one step will defeat this $8000 robot.

From the looks of it, you're gonna need one robot per floor. On the one hand, it's refreshing seeing a robot that's not a creepy humanoid, on the other, how is it gonna deal with steps and stairs ?

Breaking even in 2069

“Al Qaeda terrorist. Involved in Madrid 2004 bombings”

…WTF!?

This is DOD retaliation

Because in 2008, the housing bubble popped and it dragged with it the entire stock market. Stocks are more interdependent than most people realize.

I have a feeling that as soon as OpenAI and Anthropic stocks are up for grabs, the market will implode.

Creatinine not Creatine

After yesterday's keynote and the changes to Search, it became clear in the near future, Google will cease to direct any traffic to websites and the search results will just become a footnote in Gemini's response.

Proton Mail Helped FBI Unmask Anonymous ‘Stop Cop City’ Protester https://www.404media.co/proton-mail-helped-fbi-unmask-anonym...

Yeah but I need broader coverage on older phones. No I'm not going for a 3rd party LLM. Foundation Models for iPhone 15 and newer, and a parser for the older ones. Currently training a Word Tagger in Create ML

There is a Netflix documentary about Imfura, Gicurasi and the Pablo descendents narrated by David Attenborough. It just came out last month. Fantastic doc.

I'm literally working on an iOS app right now that needs to infer some input fields from free text typed by the user. Now to take into consideration typos, unstructured text (pricing, dates .. etc), I was pondering a cloud LLM or a basic local parser or even a local on-device LLM (ANE for 15+ devices and a different on-device LLM for the older models)

For the different on-device LLM, I literally went to HuggingFace and filtered by the smallest available models that can do the job, and Granite-4.0-h-1b works just fine, it corrects typos, infers dates, currencies all fields I need.

And it got me thinking how my first reflex was to rely on a cloud LLM which is waaay overkill for my need. Granted, an on-device LLM will need to be loaded on the devices on install or downloaded after the fact (which adds latency when the user needs it for the first time) but still, it's a better tradeoff than a cloud LLM.

I decided on a basic parser, and so far it seems to work fine. granted, it struggles with some words, but I just need to finetune it to have as much coverage as possible in terms of typos without triggering false positives.

A lot of developers have that reflex too and go along with it and then just pass the API costs to the customer. I could have gone that route too but turned out I don't even need an LLM for my usecase.

People complain about token limits

Then spend their tokens on abominations like this

Make it make sense

Opus 4.6 was released between those dates

Yeah, Stuxnet was dormant for a year until execution.

... and counting reps in the gym

People need smart devices to count their reps !?

Google strategy seems to be about scaling and distributing these models to their existing billions of users.

Yeah, part of that is installing a model in chrome to millions of users without consent.

Journalists were eating well this year with Trump's never-ending scandals. WAPO's entire nominated work is about Epstein Files, some other winners had his money-making scheme off crypto and stock manipulation.

Great timing. I used to see a guy at the gym for a few months, we always go at the same time, and one day he approached me to correct my form, we had a chat and we kept meeting in the gym for a few months after that and until yesterday I mustered the courage to even ask him his name. Literally didn't even know his name for months, so yesterday I asked and got his number to catch up later.

I thought anthropic is tightening usage but it seems people have nothing to do with their tokens …

Everyday they make me dislike them even more

Everyday they make dislike them even more

I hate how I can now tell a website is made with claude within 2s of looking at it.

Leave them alone

Yeah one PRD request of a small scope app cost me 70%

This dropped just in time as I was building an app that could leverage this. Is it legal to reverse engineer an API and hit a website to extract data ? In the eyes of Apple's guidelines, they can nuke apps off the App Store if they detect you're using something like this to pull data without an official API