I can run qwen3.6-27b on a four year-old Macbook Pro that dominates ChatGPT-4o (the frontier model from 2 years ago) and is competetitve against early ChatGPT-5 versions. We are also getting a lot smarter about using and deploying these local models. Your entire AI stack from two years ago would be absolutely crushed by a todays local LLM models and a high-end local inference system when combined with a good modern coding agent.
I am amused that you think IT is going to respond to an unmanaged LLM tool that operates outside of the LLM policies all serious enterprises have set up by now and say 'wow, that is cool and maybe we should buy in to this!'
What is going to happen is that the emplyee who tries to sneak OpenAI into our org is going to have two meetings set up by the end of the day, one with IT to ensure the whatever tool they installed is burned out with fire and one with HR to ensure they know the company policy and acknowledge that another fuck-up like this is a firing offense.
Phone jammers are illegal because they are broadcasting into regulated spectrum. There is no such spectrum regulation around audio transmissions. I will not say one way or another if this device actually works as adertised, but particularly if the signal is outside the range normally audible to people there should be nothing illegal about this device.
Gelatine melts at a lower temperature and has a much better mouthfeel for most of these traditional recipes. It is creamy and adds body to a stock or sauce. Agar is brittle and requires a higher temperature to set. Agar would be a good choice for something where you want it to stay in a particular shape, but it is much more of a one-trick pony when it comes to cooking. Each can act as a poor man's version of the other, but neither really hits the same features as the other.
Agar is great for a gel, especially one you want to stand up to a bit of heat and remain stable at room temp, and I would always reach for it instead of gelatine when doing most desserts or pastry work. OTOH I would only use it in a sauce if I needed to accommodate a vegan guest.
Definitely a blast from the past. One of the things that made PipeNet very interesting compared to its contemporary peers (e.g. onion routing) was that it used fixed size pipes with constant traffic. An observer would be unable to know when traffic was being sent down the pipe so correlation attacks become significantly more difficult. Pair it with some probabilistic encryption like Blum-Blum-Shub and you can party like a late 90s cypherpunk.
That 'ugly' required indentation and whitespace also made Python easier to read, especially for newbies and casual coders. A standard visual structure and a syntax that is pretty close to executable pseudo-code lowered the barrier to entry for a lot of people and made Python feel 'approachable'. This perception that it was easy to use helped increase the network effects other have noted.
For simple yes/no questions ("Is over 18?", "Is US resident?") then you should look back to David Chaum's blind signatures and the work that came out of that back in the 90s. The math is super-simple to understand and there are a ton of even easier metaphors with envelopes and carbon paper that you can use to explain to your grandmother. Once you get someone to grok blind signatures it is easy to lead them to zero-knowledge proofs.
I loved my Ricochet modems so damn much. Sitting in a coffeeshop in Palo Alto with an Apple Powerbook and a second generation Ricochet modem rocking web browsing and ssh sessions at 56k when wifi was unknown to the general public. I still have a couple in a box somewhere and I am tempted to see if I can get them into star mode.
This dataset disappeared. Did it move or get pulled for some reason? (glanced at it when you noted this and went back today to check it out and found a 404...)
Pretty close, but the musical takes place in the fictional town of River City, Iowa and Henry Hill claims to be an alumnus of the Gary Conservatory (class of '05), which is the hook used to launch the song in question.
> Uber and Lyft are sitting pretty for the moment.
The two completely replaceable components of this project are 'sitting pretty'? They should be scared to death because this is in fact the death knell for both companies. If the market decides that they are going to be nothing more than 'fleet management' companies for waymo then their share price will crater.
> I've never understood what people mean when they say public transportation is "dirty".
They are forced to share air with obviously poor and non-white people and that is simply intolerable...
One of the biggest adjustments I went through in moving from SF to London was accepting that busses were a viable mode of transit for any time of day. In SF I would crawl over broken glass to avoid having to take a Muni bus while in London my wife and I have taken a bus in dinner jacket and couture dress to an event at a club. There will doubtless be people to chime in with examples of bus systems that are better, but TfL busses are not 'awful and unreliable and slow and dirty and just terrible' by any possible metric.
The article text explicitly refutes the bullshit title. Governments can get access to metadata, not the contents of comms. They can demands whatever they want from Meta, but it appears that thethe only thing they are getting is the same metadata everyone has always known is not protected by E2E.
There was never any requirement for sharing anything between the two vehicles and they were made by completely different contractors. Grumman made the LEM and North American Aviation made the command module. There was also a significant redesign of the command module after the Apollo 1 fire which completely changed the cabin environment. Sort of how you probably cannot take a chunk of equipment out of the cockpit of an Airbus 320 and expect to slot it in to a similar role in a Boeing 737.
> I want them to know it was their lack of care and their negligence, I want them to take personal responsibility for that and for future work they do. But I also would want such a person to know it isn't a personal attack, just a very serious area of improvement and a mistake that can't be repeated.
You are an asshole. Your lack of care and negligence in your interactions with your peers has a detrimental effect upon your team's productivity and internal communication. Please take responsibility for this failure in intra-personal skills and acknowledge the impact your lack of empathy will have on your future work. This is not personal, I am just directing your attention to an area you need to improve and where future mistakes like this should not be repeated.
This is one of those subtle clues that the LLM does not actually 'know' anything. It is providing you the best consensus answer to your prompt using the data upon which the weights rest, is that data was input primarily as english then you are going to get better results asking in english. It is still Searle's Chinese Room except you need to first go to the 'Language X -> English' room and then deliver its output to the general query room before delivering the next result to the 'English -> Language X' room.
Can you provide an example of this? There are a few inventions-via-serendipity (e.g. Teflon) where someone got lucky, but few that i can think of where the specific person who got lucky mattered. Kary Mullis and PCR maybe?
A significant part of the economy perhaps, but 'national security threat' is a somewhat higher bar IMHO. LHR has a role of convenience, but not necessity. If JFK was shut down for a day or two and had limited operations for another week it would be inconvenient but would barely register in the national economic stats. I am on a flight heading out of Heathrow on Sunday for work travel and have booked an alternative out of Gatwick just in case. Inconvenient, but not a massive problem.
What will be telling here is how quickly things adapt to the disruption. I expect to feel more impact from the loss of power to businesses in the surrounding area that are involved in air shipment than in the flight disruptions (e.g. cold chain logistics and inventory management for just-in-time processes that warehouse near the airport.)