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GOOG Bard - tried it yesterday but was in a rush. First impression is that it is much better than the first release of ChatGPT I will do a comparison later in the day with latest ChatGPT.
GOOG Bard - Sounds like the legal department told them to assume some users are dumb. LOL.
I am on the waitlist BTW and that means just about everybody is as well.
The implant process had to be re-designed for whatever reason. This was also cited in some lawsuits by clinics.
Haven't followed for a while and saw the PR today. The first version didn't work as advertised and that's a big problem for any surgical robot. Maybe this one actually works but I will just watch with curiosity for now. I don't understand the "bail in" of Restoration Robotics given the circumstances.
AAPL EV? Not so fast. From Bloomberg
"Foxconn is finding it’s much harder to build electric cars than iPhones and tablets, Sean O’Kane writes for Bloomberg Businessweek. .............. So far, it’s only made a handful of prototypes, a few dozen electric buses and about 40 pickups for Lordstown Motors, which in January asked Foxconn to suspend production because the cost of making its trucks exceeded the targeted sale price of $65,000."
I couldn't get past the top of the list and only glanced at the rest. I recall some prominent ones were missing. FATE, TAK, NKTX so prob no.
Thx. Noticeable improvement in accuracy. Re last item on cancer research - One question I posed asked "what NK cell therapies for cancer are currently in clinical trials?" in the last ChatGPT version, it came back with a list topped by ADAP's MAGE-A4 TCR. At least it knows it has something to do with cell Tx.
GPT 1 July 2018
GPT 2 Feb 2019
GPT 3 June 2020
ChatGPT Nov 2022
ChatGPT.2 March 2023
Software doesn't scale like Moore's law so expect cycles to get shorter with each release but I have no idea how usefulness and accuracy will be measured. Some leading AI researchers already find it useful for debugging and writing code.
GPT4 - Up and running in ChatGPT. Haven't tried it yet. Maybe they should come up with an application specific version to replace humans at banks that don't know how to manage deposits.
PLTR - CTO gives more color on Ukraine software conscripts writing code and building weapons using pltr platforms as O/S. In Ignatius WPost articles, he mentioned 20X factor for lethality of conventional weapons. Karp implied in Ceraweek spotlight session with BP that the real numbers are in the range of 30-50X.
https://www.wsj.com/articles/ukraines-deadly-computer-science-brigade-russia-invasion-drone-engineer-software-wartime-weaponry-production-e0643979?mod=opinion_lead_pos6
BP/PLTR - At Ceraweek pre-dinner spotlight session - Dudley talks about their experience with pltr coders and engineers.
https://sparks.egnyte.com/dl/88yjKVPeCo
C3.ai - yeah Dew, a billion usd used to mean something. At IPO it was worth ~19B.
Regarding the links to c3 marketing videos, I am in no way shape or form suggesting that anyone go long $AI. There is little of that other than in the stock symbol.
MIT - Nice article about enhanced geothermal pilot testing.
https://www.technologyreview.com/2023/03/07/1069437/this-geothermal-startup-showed-its-wells-can-be-used-like-a-giant-underground-battery/
Not sure why the C3 link is broken in prior post.
C3.ai/Palantir - comparison of defense software capabilities as of a year ago. Variation in processing to target selection and logistics. Japan will prob be 2nd biggest gov customer for PLTR within 2 years.
I like that. What is the source?
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cvx - Should be able to double it again by YE IMO. Getting the whole country back to 2.5 MBPD will require much more spending.
I know of a mathematician/writer who quit his marriage to travel different surf spots around the globe. He is back now, with a new wife. LOL
C3 (symbol AI) going nuts on meh results, guidance is for more people trying AI so business should grow faster. But then CEO proceeds to compare company with Snowflake. AI bubble is upon us.
https://www.reuters.com/technology/ai-stocks-surge-after-c3ais-strong-forecast-2023-03-03/
PLTR Q4 slide deck - more chugging along especially on commercial side.
https://investors.palantir.com/files/Palantir%20FY%202022%20Business%20Update.pdf
ChatGPT/msft/goog - was able to try it over weekend. Well written replies but lacking accuracy and can be misleading in certain cases so I am not sure if anybody has any advantage in incorporating that into search. Perhaps it will have specific uses in coding or shopping. Will have to wait for GPT4 to see if that is noticeably better.
C3 stock has been the biggest Chat GPT influenced mover. I haven't tried the latter personally. I plan on asking some philosophical questions and a few technical ones. Using it to write and debug code is intriguing.
Must be anticipated, IONS down more than ARWR for whatever reason.
Potentially the largest Cu mining project killed.
https://www.npr.org/2020/11/25/939002676/trump-administration-rejects-pebble-mine-project-in-alaska
PLTR - re Future of defense. More color on Ignatius columns, panel discussion with vice minister of Ukraine 6 days ago. He is young and in charge of "digital transformation". Probably here because of weapons transfer to happen before spring..
GM/Waymo - SF residents losing patience with robotaxis soon after debut.
https://jalopnik.com/san-francisco-wants-new-restrictions-on-cruise-waymo-1850050281
TM/GM/TSLA - Rumors (unsourced citation from CleanTechnica) that GM cancelled LG plans for last US factory because they are switching from Ultium format to 4680 format. Others have announced plans to use 4640 and 4660 formats. Must be the pressure from TSLA formidable gross margins. Not sure what TM looks like in 5 years if they can be led out of the quagmire left by Toyoda. .
PLTR/MSFT - Trying to understand the announced partnership - seems similar in a way to IBM (via Redhat) integration. First pass impression was that I originally thought msft doesn't need them. Guess they (msft) were more incomplete than I thought and that msft entrenched users demanded this.
PLTR/SpaceX - Synopsis of David Ignatius limited field observations of MetaConstellation and StarLink integration published in Washpost a month ago. Something that amplifies the effectiveness of existing conventional weapons by 20X ought to worth something to military establishments. My understanding is that this is being provided gratis to Ukraine currently.
https://gigazine.net/gsc_news/en/20221222-palantir-algorithm-data-ukraine-war/
IDK what's in the fine print when someone pays for FSD and then use it. Mouton would be more qualified to guess what is possible on the liability side. IMO the way Musk marketed FSD has been irresponsible.
When I use the BBridge either east or west bound, I tend to use the 2nd and 3rd lanes since I find those plenty fast enough and gives you optionality to go around slower traffic. It is really a minor segment of a 40 mile (or X) trip and not something that will have a significant impact on overall drive time. What one NEVER would do is to go into the most left lane for an emergency stop in front of other vehicles going at speed. You either stop in the lane you in are driving in or go to the right most lane. FSD failed on two counts, detecting a non-existing physical edge and choosing to do an emergency left lane stop.
IMO Lidar is required for edge detection. Visual detection of edges from 2D pixels is clearly not doing the job with available chips and computational tricks. Finding out that the demo video released to hype FSD capability including geofencing and significant splicing of numerous attempts is disgusting given the way the video was marketed.
I have driven the Bay Bridge many times and that was not speeding. It may look that way because the delivery van slowed in response to Tesla braking and changing lanes. If you are referring to cars driving over the speed limit, then maybe but that is the nature of driving in the left lanes of this bridge. If you want to be at speed limit or below, there is no reason to be in the left lanes until you are closer to exiting the bridge when north, east and south bound routes diverge. They weren't close to that at crash site.
It was the Model S with "FSD" turned on according to driver that came to a rapid stop on the left lane that initiated the chain reaction. The video showed that it was going at least speed limit on 2nd to left lane. Signaled a lane change into left most lane and came to complete stop rapidly. There was already a car in the left lane that didn't expect such behavior and there just wasn't enough following distance created to react fast enough to avoid hitting the Model S. Tesla's are well engineered except for the "FBS" software-sensor suite and the latter is so because of marketing hype by Musk.
TSLA/"FSD" - Video of SF Bay Bridge pile up soon after wide release of "FBS". Completely irresponsible marketing and people wonder why the stock is being sold after wide release.
https://theintercept.com/2023/01/10/tesla-crash-footage-autopilot/
I enjoy the intellectual challenge in the nature of immunity and its failure. Started w/trying to understand cd47 (tril) and now different flavors of NK.
NKT express cd3 whereas NK doesn't NKT also express cd16 but not as much as NK.
Interesting micro fiber technology. There should be a good market if it works better than cadaver grafts. Reminds me of Vericel for cartilage (no overlap).
FATEJNJ - Market non-reaction in other iNK related companies suggest that this is a company specific issue. The upfront was hohum, but the complete funding of all activities related to target antigens must have been the problem. JNJ either must not like the results and/or felt that they were getting milked. IMO the general perspective prior to this was that FATE was the leader in iNK. Others try to avoid them by doing iNKT, iGammaDelta, iMO, etc.... IMO the whole iPSC immune cell space is under a cloud.
Better than Sohon or Honso.