Does anybody have a good sense of how impactful this will really be? I've grown cynical over the years after plenty of big announcements but very little in the way of big action.
What a legacy. I watched an excellent documentary on this man a few years back[0]. He donated massive sums of money (up to $1 billion) to third level institutions in Ireland, all on the condition of anonymity. I would love to see an assessment of the return that this investment had on Ireland and the world.
On institution benefited from the lion's share of this: University of Limerick. I recall the then-President of the university saying in an interview that he was under extreme pressure to reveal the source of investment as there was a significant drug problem in the city at the time and people were speculating it was the proceeds of crime! Another story that came out years after the fact was that he once invested millions in third level education in Ireland on the condition that the government match it, which they reluctantly did.
In my opinion, Feeney had a massive impact on Ireland with his contributions. A great example of what it means to give back.
Take an example such as a multiplier effect of 5 times, that $1 billion created at least $5 billion of value at a minimum and second-order effects economically that are harder to measure over time.
Obair mhaith! Not what I was expecting to see on Hacker news this morning. How does it work? Are you translating Irish speech to English text and sending to chat gpt? Are there API's that can transcribe Irish speech?!
Grma boc - brón orm, tá mé ghiotaín beag déanach leis an freagra ;) If you check out the source you'll see it's pretty straightforward, I'm leveraging a project called abair.ie from Dublin University to do the TTS back an forth and yeah then just firing it on to chatgpt. Works surprisingly ok.
In many parts of Europe, a heart attack used to go like this:
1: 112 call to an ambulance
2: Ambulance arrives, takes an ECG and gives aspirin and GTN
3: Paramedics drive to the emergency department
4: ER doctor identifies the patient is having a heart attack, and pages cardio
5: Cardio decide the patient needs a stent and they bring them to an OR to have it fitted.
In each of these steps, the patient could go into cardiac arrest and likely will not survive.
Today it looks more like this:
1: 112 call happens, the call taker follows a protocol that asks the caller to administer aspirin if appropriate while the ambulance is on the way
2: Ambulance arrives, takes an ECG, identifies a heart attack and transmits the ECG to a cardiologist, all while treating the patient
3: Cardiologist thinks the patient would benefit from a stent, so the paramedic begins transporting the patient and administers whatever pre-operation drugs the cardiologist wants (this would normally happen at step 5 in the previous example)
4: Patient is brought direct to the OR (or PPCI as they're specifically called here) where the cardiac team are waiting around the table for the patient
It's so efficient. I'm not up to date with the latest research on this but just the time savings alone must have saved so many lives. Treatment starts far sooner and all unnecessary steps are removed.
We've added a bunch of new features based on feedback since the last time:
- We have a team that can assess submissions now to save companies time.
- We published our assessment rubrics for each test so companies can use this to save time, if they wish to assess submissions on their own.
- We've added a whole lot of new tests. Some can be done in any language, some are more specific (rust, react, C#, Java, etc.).
- Add an activity log to give reviewers an insight into the timeline a candidate followed for their interview.
One part of this that we've yet to truly crack is pricing; in the background we're offering various different pricing models that each work well for certain companies but haven't found a one-size fits all yet.
I assume you're not interested in hearing the obvious ones (zero to one, lean startup, etc., etc.) so I'll recommend two.
At the early stages when you're defining your strategy? "Good strategy/bad strategy" by Richard P. Rumelt. "Strategy" is thrown around a whole lot in business, often by somebody who is talking about a goal, as opposed to how to reach it. This book can get a little repetitive but the overarching teachings are valuable and will serve you well throughout your entrepreneurship journey.
After the startup phase (growth/acquisition)? I recommend "The messy middle" by Scott Belsky.
I read The Messy Middle and thought like the chapter titles were phenomenal, but felt everything in the actual chapters was fluff. Maybe I'll give it another try!
I have no affiliation with Intercom but I was taken aback by how much better this bot appears to be compared to any chat bot I've seen before. They have an interactive demo on the link I shared there to test it out and I've been unable to break it thus far. With chat GPT version 3, it would regularly "hallucinate" where it would confidently provide wrong answers. That doesn't seem to be the case here, which was probably one of the biggest blockers to businesses adopting it for their web messaging.
I built a similar one to test job descriptions for non-inclusive language[0]. These tools are helpful , particularly for people who are not native English speakers. I use open source tools like retext-equality[1] and retext-profanities[2] to help catch non-inclusive language. Inevitable there will be strings that are mislabeled or just plain wrong as many of these tools aren't capable of understanding context ("communicate clearly" is often flagged as "clearly" can be superfluous or patronising in certain contexts).
Also - kudos for open sourcing it. I look forward to contributing and using the library.
Edit: I have just noticed that this hasn't had any commits in 3 years, and no releases for much longer than that. OP: are you the author of the library? It would be good to hear what the plans are for it.
